mckinsey problem solving game pdf

McKinsey Problem Solving Game (Imbellus): a Complete Practice Guide to Pass the Digital Assessment

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There is a lot of secrecy around the McKinsey Problem Solving Game, aka Imbellus.

This gamified assessment is used to filter out a large chunk of the many McKinsey applicants, and it’s supposedly crack-proof.

The internet is packed with blog posts, Reddit discussions, and forum threads about the McKinsey PSG, some even contradicting.

This information overload coupled with the huge importance of the test makes the whole preparation process nerve-wracking.

That’s why this practice guide strives to give you accurate and easy-to-digest information about your upcoming test.

It includes:

• A complete overview of the mini-games
• The best things to keep in mind while playing them
• The most helpful practice options available right now
• Useful tips and tactics to increase your chances of passing it

So, buckle up, and let’s get started.

Find out everything you need about the  McKinsey Problem Solving Game , aka Imbellus, and prepare using actual simulations!

What is the McKinsey Problem Solving Game (PSG)?

The McKinsey Problem Solving Game, also named McKinsey Imbellus, McKinsey Digital Assessment, and Solve Game, is a gamified test that replaces the previous assessment, PST, in the recruiting process. The PSG consists of two mini-games lasting for 70 minutes and evaluates candidates on five key cognitive abilities.

Only candidates who pass this stage are invited to the next hiring step, the case interviews.

What Skills Does the PSG Evaluate?

The PSG evaluates the consulting traits and qualifications of a candidate and then compares them to a real McKinsey consultant. If the test taker appears similar or better than the actual consultant, they'll pass the test.

Five main thinking skills are being assessed :

• Critical Thinking : The ability to solve problems by breaking them down into smaller parts.
• Decision-Making Process : The ability to take in large amounts of information and process it efficiently to make the best possible decision within time constraints.
• Meta Cognition : The ability to monitor your cognitive processes and improve them.
• Situational Awareness : The ability to keep track of several tasks or activities concurrently.
• Systems Thinking : The ability to identify the root causes of problems and possible solutions.

Do All Candidates Get the McKinsey Problem Solving Game?

As of 2024, almost all candidates for nearly all Mckinsey offices receive the McKinsey Solve Game. The PST, on the other hand, is no longer in use.

Get to Know the McKinsey PSG Format Inside Out

The Problem-Solving Game is sent to candidates once they pass the initial resume screening, making it the second hiring step.

McKinsey has created five mini-games, but you'll need to take only two of them. The most common ones are Ecosysystem Building and Redrock Study , and there are four other less common mini-games that only a fraction of the applicants receive (outlined below).

The time limit for the two common mini-games is 70 minutes , and for the others, it may range between 60 to 80 minutes. Each game will also have a tutorial, which is untimed.

Now, let's dive into each of the mini-games so you'll know what to expect on the test.

• Ecosystem Building

The first mini-game you'll need to pass is Ecosystem Building. In this game, you'll be randomly placed in either a mountain ridge or a coral reef scenario.

Your main objective in this mini-game is to build a sustainable ecosystem using exactly eight species from a collection of 39 species.

To achieve this goal successfully, you must strictly follow these guidelines:

• Terrain specs : The chosen location in the ecosystem must provide suitable living conditions for all eight species.
• Calories balance : Each species must be fed with enough calories from food to sustain itself.
• Food chain continuity : Each species must not be eaten into extinction by its predators.

The gaming platform provides specific information to help you meet these guidelines (some are seen in the game's "guidebook"):

Terrain Specs

Each location in the ecosystem has seven to eight terrain specs. You can choose a location using a pinpoint.

Of these seven or eight specs, only four can be displayed at any given time, using a checklist table in the upper-right corner of the screen:

Now, here's what's crucial about these living conditions:

Each species has specific terrain specs that have to be met. If they aren't met, the species won't survive, and you won't achieve the game's main objective.

Luckily, the species' living conditions usually come in ranges, allowing you to be more flexible with the species you choose for your ecosystem.

Additionally, each species has only two to four terrain specs , when Depth/Elevation and Temperature appear for all species:

Knowing that you only need to look at specific terrain specs on the checklist table helps eliminate species or locations that are not suitable for creating a sustainable ecosystem.

Food Chain Continuity

The 39 species are divided into producers and consumers.

Producers are plants and fungi (in the Mountain scenario) and corals and seaweeds (in the Coral Reef scenario). They don't have any calorie needs, so their "calories needed" spec is always zero.

Consumers are animals that eat either plants, other animals, or both. Some consumers are at the top of the food chain and therefore not eaten by any other species.

While creating the food chain, it's important to ensure that no species is eaten to extinction. This can be monitored using the " calorie needed " and the " calorie provided " specs that each species has (shown below).

Calories Balance

Each species has a calorie needed and a calorie provided, as you can see below:

A species lives if its "calories needed" are less than the sum of the calories provided by other species it eats (other consumers or providers).

Furthermore, the species' "calories provided" must be higher than the sum of the calories needed by other species that eat it.

The Main Challenges of the Ecosystem Building Mini-Game

Ecosystem creation is first of all a decision-making game.

You get all the information you need to deliver correct decisions so there's no uncertainty or inaccurate details.

The problem is that you have a vast amount of information to absorb, calculate, analyze, and prioritize . This includes the specs of 39 species, the terrain specs of each location, and eating rules.

Some of the information is irrelevant and is there to distract you or tempt you to make assumptions . In this mini-game, you must not make any assumptions and you don't need to have any environmental, ecological, or zoological knowledge.

So, your ability to make quick and accurate calculations and ignore irrelevant data will have a great impact on your performance.

The preparation course we recommend on this page includes a replica of McKinsey's Ecosystem Building game. It enables you to practice using a like-for-like game experience and learn about every single rule, move, and item in detail. Plus, you’ll master calculation methods and other tactics to ensure the food chain survives in your chosen location.

Redrock Study

The second mini-game you'll most likely encounter is Redrock Study. 

In the game's storyline, your task is to analyze the species inhabiting an island, which includes wolves and elks. The objective of your analysis is to formulate predictions and conduct various calculations , specifically focusing on percentages, by examining data on the evolution of the animal population.

The game has 4 sections:

• Investigation   You will be presented with a written text that includes tables and graphs. Your task is to sort information and gather valuable data points for the following test sections.
• Analysis   You will be presented with 3 or 4 math problems ; each is separated into two parts. You will be given a calculator and a Research Journal to gather information relevant to the questions.
• Report You will be presented with two types of questions - 
• 5 written questions regarding your findings in the analysis section
• 1 visual question in which you will need to choose a graph and use it to show what you found in the analysis.
•  Cases You will be presented with 6 to 10 questions that are unrelated to the analysis you did so far. 

You will have 35 minutes to complete all four sections , with a short, non-timed break before each one. 

Alternative Mini-Games

As of 2024, the Ecosystem Building game is constant, but the second mini-game may vary in rare cases. This means that there's a slight chance you won't get the Plant Defense mini-game, but rather one of the three we show below.

Disaster Management

In the Disaster Management game, you have to identify what type of natural disaster has happened to an animal population in an ecosystem.

Then, based on the data and information given, you need to choose a different location that will ensure the survival of the ecosystem.

The Disaster Management mini-game has only one objective - the sustainability of the ecosystem, similar to the Ecosystem Building mini-game.

Disease Management

In the Disease Management mini-game, you have to identify patterns of a disease within an ecosystem and predict who will be infected next. You can then use the information given about each species to help you solve the problem.

Migration Management

Migration Management is a turn-based puzzle game. The candidate must direct the migration of 50 animals while helping them arrive at their destination with minimal casualties and with a pre-determined amount of resources.

• Plant Defense

Plant Defense is a turn-based mini-game (similar to popular Tower Defense games). Your main objective is to defend a native plant that's located at the center of a 10x10, 10x14, or 12x12 grid from invader species, using defensive resources for as many turns as possible .

This mini-game consists of three maps, and each map is divided into two - the planning phase and the fast-forward phase. McKinsey recommends allocating 12 minutes per map, which makes it 36 minutes in total.

The 36-minute time limit is not fixed though, as it depends on how long it took you to finish the first mini-game, Ecosystem Building.

Many candidates mention that the Plant Defense game is more challenging than the Ecosystem creation. So, keep that in mind while taking the first one and plan your time wisely .

Now, let's take a closer look at the different elements and resources of this mini-game:

Your base is the native plant that you have to defend from invaders at all costs. Once an invader reaches the base, you lose the game.

Note that eventually, everyone loses, and you can't hold your base forever. But the more turns you manage to survive, the better .

There are two types of invaders in the game - Groundhog and Fox. Their movements on the map are the same, and the only difference between them is the terrain type that holds them back (more on terrains below).

Once an invader appears on your map, it will choose the shortest path to reach your base plant. This path will be shown as a yellow arrow .

There are three types of terrains in the game:

• Forest : Slows down the Groundhog for one turn
• Rocky : Slows down the Fox for one turn
• Cliff : Blocks both the Fox and the Groundhog from passing this square

Each terrain holds one grid on the map, and you cannot place terrain on a grid that already has another terrain or a defender on it (more on defenders below).

As opposed to terrains, defenders don't just slow down or block an invader, they eliminate it for good.

There are several defenders you can use in the game: Bobcat, Falcon, Wolf, Python, and Coyote.

Note that you won't see all of the defenders at once.

Each defender has two important specs you must take into account:

Range : Each defender can cover a pre-determined number of grids on the map. For example, a Python can cover only one grid, while a Falcon can cover as many as 13 grids.

Damage : Each defender can cause specific forms of damage to an invader's population. When an invader attacks, you'll be able to see its population number and the damage that your defender can cause him. A Wolf, for example, has a damaging impact of 60, while a Falcon has only 20.

The Main Challenges of the Plant Defense Mini-Game

In this mini-game, you have to make decisions based on limited information and face unexpected events (like new invaders from any direction). Also, you must achieve two simultaneous objectives - survive each of the turns separately and for as long as possible.

This is the complete opposite of the Ecosystem Building game, in which you have all the data in front of you, and you have just one objective.

Two things that can help you overcome these challenges are (1) preparing for the unexpected events that will happen during the game and (2) planning low-risk solutions based on your resources (terrains and defenders).

The prep course that we recommend on this page has the closest simulation possible to the actual Plant Defense game. It has the same gameplay, invaders, and resources, and it's based on the same algorithm that appears in the McKinsey Solve Game. This will enable you to learn the most effective tactics to ensure your base plant survives as many turns as possible.

How to Beat the McKinsey Problem Solving Game?

The proven way to beat the McKinsey PSG is by properly preparing beforehand.

There's no way around it. That’s because the mini-games include an immense amount of information, rules, and patterns you must master . And they require you to use tactics and strategies that are not obvious and take time to plan and execute.

All of that is under great time pressure and the high stakes of possibly failing it and losing an opportunity to work at McKinsey.

Now, there are a few practice options you can use to get a better understanding of the PSG and improve your chances of passing it, with the PSG Interactive Simulation being the most accurate one.

McKinsey Problem Solving Game Practice Options

Psg interactive simulation.

The  PSG Secrets simulation is an interactive platform that includes accurate practice for every part of McKinsey’s PSG. It mirrors what the actual game scenarios look like, what each button does, how the logic of the games works, how it generates the data, and more.

It has a full simulation option (two mini-games, 70 minutes), which includes:

• A full video course in 24 videos and 2h30m of content on Ecosystem, Redrock, and Plant Defense
• 2 excel solvers for the Ecosystem Game
• 10 Redrock test drills specifically for the case section
• 152 page-pdf guide 
• 60-day money-back guarantee.

Tips to Improve Your Performance on the McKinsey Problem Solving Game

Here are several specific tips to help improve your overall performance on the test as well as tips to avoid any disturbances that could hurt your score:

#1 Sharpen Your Mental Math Abilities

The ability to make fast and accurate calculations can help a lot in this Solve Game. That’s because one wrong calculation might ruin your carefully built Ecosystem or cause an invader to reach your Native Plant.

There are several free apps and sites, like the renowned Khan Academy , that can help you improve your math skills quickly.

#2 Learn Fast Reading Skills

Mckinsey’s PSG requires you to absorb and analyze a tremendous amount of information under strict time constraints.

Fast reading skills come in handy in this test and can help reduce the amount of time needed to understand the numerous guidelines of the mini-games.

There are certain apps and browser extensions that allow you to practice this important skill , even on the go.

#3 Focus Only on What Matters

Don't get nervous when you first see the immense amount of data on the mini-games. That’s because a lot of the data is irrelevant, and you’ll be only using some particular parameters .

For example, in the Ecosystem game, you’ll only have to use specific species and terrain specs for your calculations, while ignoring others that are there only for distraction.

In the complete   PSG Simulation Practice , you’ll see how to remove as much as 70% of the irrelevant data and remain just with the information that matters.

#4 Ignore Outside Information

While taking the assessment, especially the Ecosystem game, try to ignore any outside knowledge and information.

For example, if you’ve learned biology or zoology and you see that your food-eating rules don’t seem logical but the numbers are correct, always go with the numbers .

If you start to rely on previous knowledge, you might get confused and mess up your progress in the game.

#5 Learn to Solve Problems Like a Consultant

The PSG measures your consulting traits and compares them to a model McKinsey consultant.

That’s why learning to think and solve problems like a real consultant can help you pass this assessment.

Two main problem-solving skills you should practice are decision-making in fully controlled situations and with limited information.

Both of these skills can be trained using complex strategy games (examples are mentioned above) as well as  practicing with the   full PSG interactive simulation .

#6 Cut Down on Calculation Time Using Microsoft Excel

Mental math is an effective way to make calculations in the mini-games.

But as you’re only human, it’s not error-free. That’s why using a calculation tool, such as Excel formulas, can be a great way to make super fast and accurate calculations.

You can use it to gather all the relevant data, arrange it with columns and formulas (even in advance!), and turn the whole process into a no-brainer.

That said, you’ll need to use another monitor (preferably with a different browser) or another laptop since the assessment’s platform will take over your entire screen.

#7 Prep Your Hardware and Internet Connection

The last thing you want during the assessment is a “blue screen of death.”

It may happen if your hardware is not strong enough, since the McKinsey PSG is pretty demanding in its system requirements.

Any computer that is more than five years old or without an HD screen will likely encounter lags and performance drops.

Also, you must have a fast and stable internet connection. If you get disconnected in the middle of the test, you might need to start all over again or even reschedule for another testing date.

The PSG scores are divided into two types -

• Product score - the final outcome of your performance
• Process score - the efficiency (time and number of clicks) of your performance 

If you get the   PSG Practice Simulation , you’ll have a mock grading system that monitors your results and behavioral patterns.

This will allow you to track your progress while you practice for the test and see which areas demand improvement.

Why Did McKinsey Develop the Problem-Solving Game?

McKinsey created the Problem-Solving Game as an unbiased way to identify candidates from around the globe with strong cognitive abilities. The former assessment, Problem Solving Test (PST), was less challenging for candidates who were familiar with standardized tests, such as SAT and GMAT, or used the numerous mock tests found online.

The PSG, on the other hand, is supposedly crack-proof. That's because it takes into account the approach you use to solve the problems and not just the final solution. This seemingly removes any lucky guessing and shortcut techniques that were common on the McKinsey PST.

While on the PST you had just your final score, on the PSG your score is comprised of dozens of scoring criteria apart from your final result , including mouse movement, keystrokes, and clicks.

McKinsey can analyze these factors for every recorded candidate, which allows them to compare candidates more fairly.

What Does Imbellus Mean?

Imbellus is a company that creates immersive simulation-based assessments to assess cognitive processes. To develop a new testing format for the McKinsey recruitment process, they've teamed up with McKinsey consultants and UCLA Cresst psychologists.

In 2020,  Imbellus was purchased by Roblox , an online gaming platform, to help sharpen its recruitment practices.

This was an in-depth prep guide for the McKinsey Problem Solving Game. It gave you an overview of the different mini-games, explained their main challenges, and offered some useful solving tips.

Additionally, you saw the best ways to prepare for the assessment, when the PSG Practice Simulation being the most realistic and accurate one.

McKinsey Recruitment Process

McKinsey's selection process consists of several key phases:

• Application Review: The first step involves submitting your resume, which is briefly examined to filter out unsuitable candidates.
• Online Assessment: Within 7-14 days of applying, you'll likely receive an invitation to participate in the Solve Game, an interactive assessment that evaluates your analytical and decision-making abilities.
• Performance Analysis: McKinsey's team thoroughly examines your Solve Game results with your application materials.
• Case Interview: Candidates who excel in the previous stages advance to face-to-face case interviews. These sessions assess your capacity to tackle real-world business challenges, interpret data, and articulate clear solutions, demonstrating your problem-solving prowess and communication skills.

What is the McKinsey solve game?

The McKinsey Solve Game or Problem Solving Game (PSG) is a gamified evaluation incorporated into McKinsey's hiring process. This assessment features two mini-games that take approximately 70 minutes to complete, measuring candidates across five essential cognitive skills: critical reasoning, decision-making, metacognition, situational awareness, and systems thinking. Test takers who excel in this assessment move forward to the case interview phase. The game replicates real-world challenges, demanding strong strategic problem-solving and decision-making abilities.

How to solve the McKinsey problem-solving game?

To succeed in the McKinsey Solve Game, you should concentrate on enhancing key skills such as critical thinking, pattern recognition, and decision-making. The game assesses test takers' abilities in resource management and environmental evaluation. It's essential to practice organizing your approach, logically analyzing scenarios, and making decisions grounded in data. Additionally, working with simulations that replicate real-world complex systems can be beneficial.

Is the McKinsey solve game hard?

The McKinsey Solve Game can be challenging, requiring critical thinking, decision-making, and adaptability under pressure. The game simulates real-world scenarios that demand strategic problem-solving and analytical skills, which can be difficult for some candidates. However, with adequate preparation, including practicing relevant skills and familiarizing yourself with the game format, you can improve your performance and increase your confidence in tackling the assessment.

How many people pass the McKinsey solve game?

The specific percentage of candidates who pass the McKinsey Solve Game is not publicly disclosed by McKinsey & Company. However, it's known that performing well in the game is critical for advancing to the next stage of the hiring process, the live case interview. The assessment is designed to be challenging, and only those who demonstrate strong problem-solving and analytical skills typically move forward.

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Consulting Articles > MBB Online/Screening Tests > McKinsey Solve Game: Full Guide [2024]

McKinsey Solve Game: Full Guide [2024]

Updated: September 06, 2024

Table of Content:  

What is mckinsey solve game, how does mckinsey solve game work, what traits is mckinsey assessing in mckinsey solve game.

• Ecosystem Building
• Red Rock Study
• Plant Defense

The Importance of Practicing McKinsey Solve Game

Check out the only, fully-playable, and FREE McKinsey Solve Test (Problem-Solving Game) Simulation in the entire market!

McKinsey Solve Game, also known as the Problem Solving Game, PSG, Digital Assessment, or informally referred to as the "Imbellus Game," is a gamified assessment developed by Imbellus for McKinsey & Company. ( Click to see all screening tests by McKinsey, BCG and Bain! )

Within McKinsey's hiring process, the Solve Game is screening test, positioned between the application and the case interviews. Its primary objective remains consistent with the traditional Problem-Solving Test: to efficiently identify suitable candidates and streamline the resource-intensive case interview phase. This approach optimizes both time and resources in the recruitment process.

The one and only existing platform to practice three McKinsey Solve simulation games for FREE !

The McKinsey Solve Test, also known as McKinsey Digital Assessment or McKinsey PSG, is subject to a total time of approximately 71 minutes. Candidates are given 2 out of 6 possible mini-games. The assessment evaluates both the final results and the solving process. If a candidate demonstrates skills and tendencies similar to those of a McKinsey consultant, they may receive an invitation for an interview.

The McKinsey Solve Test includes 6 confirmed mini-games: Ecosystem Building , Red Rock Study , Plant Defense , Disaster Management, Disease Management, and Migration Management. It's worth noting that almost all candidates, nearly 100%, will start with the Ecosystem Building Game as their first challenge. Subsequently, they will encounter either the Red Rock Study (in approximately 80% of cases) or the Plant Defense mini-game (in about 20% of cases) as their second task. There is a strong indication that McKinsey may be phasing out the Plant Defense mini-game in favor of the Redrock Study.

Please note that the other three games, namely Disaster Management, Disease Management, and Migration Management, were previously used by McKinsey for beta testing purposes. However, they are no longer included in the McKinsey Solve test in 2023.

The time allocated for tutorials is not factored into the overall time limit. It's advisable for candidates to maximize this tutorial period by attempting to anticipate the mini-game's objectives and crafting a general approach before initiating the mini-game itself. This time can also be utilized for essential preparations, such as having pen, paper, and excel sheet readily available.

To familiarize yourself with the interface and how the McKinsey Solve Game works, sign up for our Free McKinsey PSG Simulation and give it a try!

The McKinsey Solve game assesses five critical cognitive abilities:

• Critical Thinking : Your ability to thoroughly analyze information.
• Decision-Making : Your capacity to take appropriate actions based on your analysis.
• Metacognition : How effectively you implement strategies to achieve the game's objective.
• Situational Awareness : Your capacity to maintain focus on the environment and anticipate future changes.
• Systems Thinking : How well you comprehend the cause-and-effect relationships among the elements within the system.

The positive aspect is that many of the assessed skills are interconnected, meaning that improving one area can also enhance performance in others. This is crucial because it allows you to avoid diving into every tiny detail just to achieve a higher score.

Additionally, while showcasing all abilities is essential for success, some skills carry more weight. Based on the insights from this Imbellus research paper , Critical Thinking, Situational Awareness, and Systems Thinking are the core competencies that top candidates must demonstrate.

Advanced abilities such as Decision-Making and Meta-Cognition, on the other hand, are what separate great candidates from the rest.

What does McKinsey Solve Game include?

Game 1: ecosystem building.

What is Ecosystem Building Game?

This is a 35-minute time limit game. You will be placed randomly into either a mountain or a reef scenario. ( Click here to sign up and play the game for FREE! )

Your goal is to construct an ecosystem comprising 8 species from a selection of 39. There are three primary objectives to accomplish:

• The ecosystem should establish a continuous food chain.
• Ensure a calorie surplus for each predator-prey pair.
• Align the ecosystem with the terrain specifications of your chosen location

What does Ecosystem Building Game include?

1.  Terrain Specifications

Each location within the ecosystem is characterized by seven to eight terrain specifications, which can be selected by pinpointing a location.

In the Mountain scenario, there are 8 terrain specifications: Elevation, Soil pH, Precipitation, Temperature, Wind Speed, Air Pressure, Humidity, and Cloud Height.

In the Reef scenario, you'll find 7 terrain specifications: Depth, Water Current, Water Clarity, Temperature, Salt Content, Dissolved Oxygen, and Wind Speed. 

Each species has its own set of required terrain specifications, typically ranging from two to four. Failure to meet these terrain requirements will result in the species dying out. These requirements often come in ranges.

2. Food Chain Continuity

In the game, you will be given a total of 39 species, categorized into two main types: producers and consumers.

• Producers: These include plants and corals. Their sole source of food is typically sunlight or other natural elements. Consequently, they neither have prey nor consume calories.
• Consumers: This category comprises animals, which can further be classified as Herbivores (plant-eating animals), Carnivores (animal-eating animals), or Omnivores (consumers of both plants and animals). Additionally, some consumers hold the status of "apex animals," indicating that they do not have natural predators and are not consumed by any other species within the ecosystem.

3. Calories Balance

Each species in the ecosystem is characterized by two essential figures: Calories Needed and Calories Provided.

A species can thrive under the following conditions:

• Sufficient Energy for Survival: The species' calorie needed is lower than the total calorie provided by the ecosystem.
• Avoiding Extinction by Predation: The species' calorie provided surpasses the combined calorie consumption by the species that prey upon it.

In essence, for a species to thrive, it must have enough energy to sustain itself and should not be consumed to the point of extinction by its predators.

Main Challenges of Ecosystem Building Game:

• Information Overload: Handling a significant amount of data that requires absorption, calculation, analysis, and prioritization. This encompasses the specifications of 39 species, terrain characteristics of each location, and dietary rules.
• Distracting and Irrelevant Information: Certain details provided may not be relevant and are included to divert your attention or lead you into making assumptions. It's essential to refrain from making any guesses or relying on any prior knowledge related to the environment, ecology, or zoology

How to tackle Ecosystem Building Game:

Here's a breakdown of how to approach the game, following a 3-step process:

Step 1: Location Selection

• Use a spreadsheet or scratch paper to record the terrain specifications and calorie provided data for the mini-game's producers.
• Examine the data to identify which terrain specifications remain consistent across all species and which ones change. Focus only on the changing terrain specifications (usually 2 of them), while the others are intended to divert your attention.
• Calculate the total calories provided for the producers in each group of terrain specifications. The group with the highest calorie provision is likely the easiest to construct the food chain.

Step 2: Food Chain Building

• Examine the data to list consumers with compatible terrain requirements in your spreadsheet.
• Select the apex predator with the lowest calorie requirement as the starting point for the food chain.
• Construct the food chain starting from the apex predators and work your way down, listing the food sources for each top-level predator. Keep progressing in this manner until you reach the lowest tier, which includes corals and plants. Ideally, the food chain should encompass 3-4 levels and encompass 8 species.
• Alternatively, you can build the food chain from the bottom up by examining the "Eaten By" specifications of each species, working your way up to the top predators.
• Throughout the process, prioritize species with high calorie provision and low-calorie requirement. This should increase the chances of a calorie surplus in the food chain and allow room for additional species if the initial chain falls short of the required 8 species.
• If your food chain doesn't reach the necessary 8 species, work from the bottom up to identify gaps of unused surplus calories and fill these gaps with predators or plant-eating animals.

Step 3: Sanity Check

• Ensure that each species in your food chain aligns with the chosen location.
• Verify that the food chain is continuous, meaning that the listed food sources match the descriptions of each species.
• Confirm that each species in the food chain has an adequate calorie supply and isn't consumed to extinction based on the provided eating rules.
• If any of the three checks are not met, make adjustments to the food chain.

Game 2: Red Rock Study

This is a game with a 35-minute time limit, during which you will complete the Red Rock Study, consisting of both Part 1 and Part 2. 

Experience the Redrock Study game firsthand by trying our FREE Simulation today.

The McKinsey Red Rock Study divides the tasks into 2 parts:

Part 1: Study

Part 2: cases.

In Part 1, you'll get one study with a main goal and some data to support it. This part has three steps:

Phase 1: Investigation

• Phase 2: Analysis
• Phase 3: Report

In Part 2, you'll receive 6 short cases that are related to the same topic but not directly connected to the Part 1 Study. Each case will come with two different types of questions:

• Multiple choice questions
• Numerical answer questions

You need to finish both tasks (Part 1 & Part 2) within a total time limit of 35 minutes. Although there are no specific time constraints for each part, it's advisable to allocate more time to the first part and less to the second part.

Now, let's delve into the specifics of Part 1 and Part 2 of the tasks.

Your goal is to read through the case description, recognize the main objective and essential data points, and then gather them in an on-screen Research Journal.

The data and information provided are divided into three sections, with each section containing the necessary information required to complete the study:

• Study Information

How to tackle this phase:

• Understanding the study
• Collecting important data points

1. Understanding the study

Your objective here is to identify case’s objectives.

Every piece of information displayed on the screen is crucial for comprehending and resolving the case. However, some are more critical than others. Significant data points are highlighted and displayed in boxes on the screen, allowing you to click and drag these boxes to focus on them while working within the case.

The data provided comes in two formats:

• Movable data points : These text-based data points consist of case objectives and calculation instructions. They clarify the case's goal, specify the mathematical formulas to be applied, and outline which numbers need to be gathered. Typically, these are detailed sentences or paragraphs that describe the relationships (such as higher, lower, etc.) between the elements within the case.
• Non-Movable data points : These text-based data points encompass background information and test instructions. They are not selectable or movable and are intended solely to provide an overview of the case. They do not need to be collected as their purpose is to offer context.
• Number-based data : These typically consist of movable data points and comprise the majority of the data in the case. They can be found in two locations: within charts, diagrams (such as bar charts, pie charts, tables, etc.), or within the text. It's necessary to gather these numbers into the journal for calculations in the next phase.

2. Collecting important data points

You can drag any movable data point into the Research Journal to collect. In the Research Journal, each collected piece of information will appear as a card, with its own name and description. The data in the Research Journal can then be used in the Calculator or as answers in phase 2.

You have the option to change the labels for all the data yourself. We suggest doing this if the default label doesn't describe the contents well enough. Using the right labels will make your analysis faster because it helps you easily find the important data later on.

After you've collected the data, you can also include your own notes with each piece of information. This can assist you in explaining the information required during the Analysis phase.

Here’s a summary of our recommended approach:

• Determine the objectives of the case.
• Identify the mathematical formulas needed to address these objectives.
• Collect in your Research Journal only the essential data points necessary for the calculations during the Analysis phase.

Phase 2 – Analysis

Your objective here is to use the data points gathered during the Investigation phase to answer three quantitative questions using the provided calculator. These answers will be utilized to complete the report in Phase 3.

The three quantitative questions typically consist of 2 to 3 sub-questions, each with an answer input gap that requires a response from the calculator. To address these questions, you need to input the numerical data points you've collected into an on-screen calculator and then transfer the results to the corresponding gaps.

The calculator features a straightforward interface, resembling a digital calculator found on a phone, and includes basic operators such as multiplication (x), addition (+), subtraction (-), and division (÷).

The calculations required for the questions can be categorized into two types:

• Basic Operations : This category includes addition, subtraction, multiplication, and division. While these operations are fundamental, you may need to use them in combination to perform more complex calculations.
• Percentages/Ratios/Fractions : These calculations are used to address questions related to relationships, such as percentage differences, growth rates, and similar concepts.

We advise you to carry out all calculations using the provided calculator since all your actions are documented in a history log. It's safe to assume that the process you follow in arriving at the answers will also impact the final results.

It's crucial to keep in mind that the answers you obtain from these questions are almost always required in the Report phase. Therefore, it's essential to consistently record your answers in the journal.

• Carefully read the questions to understand what is being asked.
• Drag the relevant data points from your Research Journal into the calculator's input screen to perform the necessary calculations to answer the questions.
• Drag the results and drop them into the empty spaces provided under the questions.
• Ensure that you collect the answers in your Research Journal for use in the Report Phase.

Phase 3 - Report

Your objective here is to finalize the textual and graphical report. You will have the option to choose one of three types of graphs to include in the report, and these graphs will be based on the results calculated in Phase 2.

The Report phase is the final segment of Part 1 Study and comprises two sections: the Written Report and the Visual Report.

• Written Report : This summary report involves completing the text-format report by filling in the blanks with numbers obtained in the preceding phases, as well as using expressions like "higher," "lower," "equal to," and so on. The blanks in this phase are likely to resemble the answer inputs in the Analysis phase.
• Visual Report : This aspect involves data visualization, where you select the appropriate chart type and input the numbers to create a meaningful chart for the report.

Your objective is to answer 6 cases, each featuring a question with instructions, textual information, and data exhibits.

In each of the 6 cases, there is an onscreen tool available to aid you. It's essential to solve the cases in a sequential manner, which means you cannot skip ahead and must address one case before proceeding to the next.

All 6 cases will revolve around the same theme or topic as Part 1 of the study, but they are not interconnected. These cases primarily demand a basic level of quantitative or reasoning skills and do not necessitate advanced mathematical abilities. 

However, it can be challenging to solve all 6 questions within a short time limit, so it's important to use your time wisely.

The question types in Part 2 can be grouped into four primary categories:

• Word problems : These involve mathematical exercises where candidates must read the text and interpret data to find solutions.
• Formulae : These questions are similar to word problems, but candidates only need to identify the formula used for calculation.
• Verbal Reasoning : These are single-select multiple-choice questions that ask candidates to determine which statement is true or false.
• Visualization : These questions require candidates to choose the appropriate chart type to represent the provided data.

Game 3: Plant Defense

What is Plant Defense Game?

This is a turn-based tower defense game with a time limit of 36 minutes. ( Click here to sign up and play the game for FREE! )

As of 2024, McKinsey is gradually phasing out this test, but around 10% to 20% of candidates may still encounter it during their assessment.

The objective of this game is to safeguard a plant positioned at the center of a map and fend off invading pests.

What does Plant Defense Game include?

• The game map is divided into a square grid, ranging in size from 10x10 to 12x12. Right from the beginning of the game, you'll encounter natural obstacles known as Terrain Transformations, which are spread across the game area.
• McKinsey recommends allocating 12 minutes for each map, resulting in a total game time of 36 minutes.
• The game is composed of three maps, and each map has two phases: the planning phase and the fast-forward phase.
• The planning phase is divided into 3 waves each comprising 5 turns. New stacks of Invaders appear at the map's border every 3-5 turns and advance toward the central base to attack. Your task during this phase is to strategize and set up defenses or obstacles to counter them. This phase continues until you've eliminated all the Invaders, survived until the end of the 15th turn, or your base is destroyed. 
• The fast-forward phase occurs after the 15th turn of the planning phase. During this phase, all remaining Invaders from the planning phase will persist in their attacks. Your defensive setup remains fixed and cannot be altered. Invaders will continuously spawn and assault your base until it is destroyed.
• After completing the game, the number of turns your base survived becomes the basis for calculating your final score.

Below are the elements and resources in this game:

Your base is represented by the native plant, and your primary objective is to protect it from invaders at all costs. If an invader reaches your base, you will lose the game.

The longer you manage to survive, the higher your score will be.

2. Invaders

In the game, there are two types of invaders. They both move in the same way on the map, and the only difference between them is the type of terrain that can slow them down.

Once an invader appears on your map, it will select the shortest path to reach your base plant. This path will be indicated by an arrow line.

3. Terrains

In the game, three types of terrains exist: Forest and Rocky, each of which slows down one type of invader for one turn, and Cliff, which blocks the path of both types of invaders, preventing them from passing through.

Each terrain occupies one grid on the map, and you cannot place terrain on a grid that already has another terrain or a defender on it.

4. Defenders

In the game, you have access to several defenders that help eliminate invaders by attacking them, though not all of them are available at the same time.

Each defender has two important specifications to consider:

• Damage : Each defender can inflict a specific damage value on an invader's population.
• Range : Each defender can cover a predetermined number of grids on the map. Generally, the higher an invader's damage, the smaller its range is.
• Placement : Some defenders can be placed on the ground, while others can only be placed on trees.

Main Challenges of the Plant Defense Game

In this game, there are 2 main challenges:

• Limited Information and Unexpected Events : You must make decisions with incomplete information and adapt to unforeseen circumstances, including new invaders from various directions.
• Dual Objectives : You need to simultaneously focus on surviving each turn and maintaining your survival for as long as possible in the game.

Here are few tips to help you overcome these challenges:

• Ready for Surprises : Be ready for unforeseen events during the game
• Strategic Resource Management : Develop low-risk solutions using your terrains and defenders.
• Practice : Get hands-on and practice to better prepare yourself for the real test. ( Click here to sign up and enjoy unlimited FREE practices !)

  How to tackle Plant Defense Game :

• Layered Defense : Create multiple layers of defenders starting from the base (inside-out approach), using the terrain to your advantage.
• Close Resource Placement : At first, put your resources near the plant to cover the smaller inner rings of the map better, where paths often come together.
• Resource Priority : Place your strongest resources closest to the plant and gradually expand with weaker, longer-range ones.
• Adaptation Plan : After 15 turns, you can't change or add more resources, so quickly change your strategy based on the invaders' patterns. Experiment during the early turns to figure out what works best for each type of invader.
• Smart Resource Use : Use your resources wisely to create a balanced defense for the plant. Avoid defenses that are too focused in one direction. Remember, the goal in this game is to last as many turns as possible.

The McKinsey Solve Game is meant to assess your critical thinking skills. However, if you haven't practiced beforehand, you might not be familiar with these mini-games, including how they work and what you're supposed to do.

According to our survey, many candidates were surprised when they took the test, even if they had read guides and watched game walkthroughs. These mini-games have complicated interfaces and various functions. Most candidates, when they first encounter them, need to spend time just figuring out how they work, then what the goals are, and finally start playing the game. Going through all these steps in a very short time can be nearly impossible.

You might have the exact set of thinking skills McKinsey is looking for and still not do well in the mini-game. This could happen because you might not understand how the game works, struggle with time management, or get confused by some aspects of the game.

That's why practicing with the McKinsey Game is so helpful. With our FREE McKinsey PSG Simulation , you can become familiar with these types of mini-games and improve the thinking skills you need to do well.

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McKinsey Solve Game: Newest Updates, Guide & Free Trial 2024

Check out the only, fully-simulated McKinsey Solve (Problem-Solving Game - PSG) Simulation  in the entire market with the new 2024 Redrock Study Task and its free trial

With that out of the way, let's continue to learn about the test, shall we?

Table of Contents

What is the McKinsey Solve (or Problem-Solving Game)?

Mckinsey solve is a gamified, pre-interview screening test.

McKinsey Solve (formerly called Problem-Solving Game, Digital Assessment, or colloquially the “Imbellus Game”) is a gamified test designed by the assessment company Imbellus for the McKinsey & Company. 

In the McKinsey recruitment process, the Solve Game sits between the resume screening and the case interviews , serving the same purpose as the paper-based tests – ruling out the “unfit” candidates to save time and resources during the expensive case interview phase. 

Solve has entered trial since 2017 (back then it was known as the Digital Assessment) and has been rolling out extensively in 2020. Since then, Solve has replaced the paper-based Problem Solving Test in every McKinsey office.

The test is mandatory for candidates applying in all practices: General, Operations & Implementation, Research & Analytics, Digital, etc.

Note: As this is a gamified test, in this article, the two terms “game” and “test” will be used interchangeably when referring to the McKinsey Solve.

The new gamified test is supposedly crack-proof

Now, why did McKinsey change the test format from a paper-based test to a game? Keith McNulty, McKinsey’s Global Director of People Analytics and Measurement, put it this way:

“Recruiting only knows if candidates got the right answer, not how they approached the question. Plus, there’s a large amount of strategy, preparation, and luck involved in multiple-choice tests, and if you use them in the selection process, it reinforces the status quo—at a time when you are looking to widen the scope of candidates you’re hiring.”

So essentially, McKinsey is trying to create a test/game that is impossible to game (ironic, isn’t it?).

But in fact it can be broken down into bite-size pieces

With field reports from hundreds of real test takers, we have gathered enough insights to break down the McKinsey Solve into bite-size pieces, which are fairly consistent across candidates. Using those insights, we can derive working overall approaches to the game.

In this article, we will cover:

Technical details of the test : time limit, number of tasks and mini-games, assessment criteria

Break-down of each mini-game : description, underlying logic, and recommended strategy

Test-taking tips to maximize your chances

Similar games for practicing the McKinsey Solve Game

It is important to keep in mind that since neither Imbellus nor McKinsey publicizes the exact details of the criteria/mechanisms used in-game, the insights in this article – reported by our correspondents – may not reflect 100% of the in-game elements .

What is the McKinsey Solve like?

The McKinsey Solve Test or Digital Assessment has a time limit of 60-80 minutes . The candidate is asked to solve 2 out of 6 possible mini-games. Both the final results and the process are assessed , and if the candidate is found to possess similar skills and tendencies to a McKinsey consultant, they are offered an interview.

For a more detailed guide on the technical details of the game, please check out the McKinsey PSG Simulation (All-in-one) package.

Time limit is 71 minutes

As of April 2021, the reported time limit for the McKinsey Solve is exactly 70 or 71 minutes , with 35 minutes recommended for the first game (Ecosystem Building), and 35 minutes for the second game (Redrock Study), or 36 minutes (Plant Defense). Time spent on tutorials is not counted towards the limit.

Ever since the start of the game, there have been variations in time limit reports, however, these tend to stay between 60-80 minutes . This variation depends on the length of each mini-game.

Pre-2023, i.e. with Plant Defense mini-game : Actual time allocation depends entirely on the candidate’s decision – however since the first game is much more predictable, we recommend playing this quickly to allow more time for the second game. With a proper approach, the first game should take only 15-20 minutes, with time for a double-check taken into account.

Summer 2023 onward, i.e. with Redrock Study mini-game :  The Ecosystem Building mini-game is now allocated a fixed 35-minutes, and the Redrock Study another 35. That means even if you finish the first game early, there is no additional time for the second game.

Learn more about the Redrock Study game through this free trial !

Candidates should also make the most out of the tutorial time – try to guess the objective of the mini-game, and think of an overall approach before beginning a mini-game. You can also use that time to make necessary preparations, such as pen and paper, or maybe a light snack to keep yourself energized.

Each candidate has to solve 2 out of 6 mini-games 

As of June 2023, 6 mini-games are confirmed for the McKinsey Solve Test: Ecosystem Building, Redrock Study, Plant Defense, Disaster Management, Disease Management, Migration Management . The 2 main mini-games that nearly all candidates will encounter are the Ecosystem Building Game and the Redrock Study Task. 

Our reports indicate that 100% of the McKinsey Solve Test will have Ecosystem Building in the first game slot. For the second game slot, right now, 80-90% of the candidates will have the Redrock Study Task, while 10-20% will have the Plant Defense game (before this, the ratio for the second game was reversed). This means McKinsey is gradually phasing out Plant Defense in favor of the Redrock Study Task.

The first one, Ecosystem Building, is similar to city building games - except with animals instead of buildings - where you have to build an ecosystem with a number of species.

In the Redrock Study Task, your mission is to solve ONE large study using on-screen tools then move on to answering 6-10 smaller cases with a similar topic. Access McKinsey Solve free trial to have an overview of this game!

The other 3 games - Disaster Management, Disease Management, Migration Management - are alternatives that McKinsey previously used for beta testing. They no-longer appear in the McKinsey Solve test in 2023.

Disaster Management involves identifying the natural disaster occurring in an ecosystem and moving the whole system to another location to minimize damage. This mini-game appeared occasionally from 2020 to 2021.

Disease Management is about identifying an infectious disease, figuring out its rules of infection, and predicting its spread within an ecosystem. This mini-game appeared occasionally from 2020 to 2021.

Migration Management is about directing a group of animals from one point to another such that it loses the least amount of resources and animals. This mini-game appeared occasionally from 2021 to 2022.

For the latest insights on the game - Redrock Study, check out the McKinsey Solve free trial or our designed simulation package for this mini-game. 

The next part will be about how candidates are assessed – if that’s not in your interest, you can skip straight to the mini-game and strategy guide using this link.

Every keystroke and mouse movement will be assessed

Each candidate will be assessed using both product scores (i.e. the final results) and process scores (i.e. how they get those results).

Product scores are determined by your level of success in achieving the objectives of the mini-games.

  In the first mini-game, while there is no 100% right answer, some solutions will be better than others. You will be given this information through a report screen. For the second mini-game, the final results are definitive fact-based and data-based answers. There will be right and wrong answers, but McKinsey will not inform you how many correct answers/actions you get.

Mini-game 1: How many species survive? 

Mini-game 2: Did you pick the right data points? Are your calculations and reports correct? Did you choose a suitable graph to display the data?

Process scores, on the other hand, are dictated using data on your patterns during the whole problem-solving process – every keystroke, every click, and every mouse movement will be assessed.

The process and product scores are combined to form a profile of problem-solving skills and capabilities. And while there is no official statement from McKinsey about which candidates they select, it is likely that the more you resemble a high-performing consultant at McKinsey, the higher your chances will be.

Candidates are assessed on five core dimensions

Your problem-solving profile is drawn using the five following dimensions:

Critical thinking : the ability to form a rational judgment from a set of facts

Decision-making : the ability to select the best course of action among options

Meta-cognition : the ability to use strategies to make learning information and solving problems easier (e.g., testing hypothesis, taking notes)

Situational awareness : the ability to determine the relationships between different factors and to project the outcomes of a mini-game

Systems thinking : the ability to understand cause & effect relationships involving several factors and feedback loops (e.g., anticipating several orders of consequences)

The good news is that all the skills assessed are generally not evaluated by themselves, which means training one skill will probably also drive up your assessment scores in others . This is absolutely crucial because you won’t have to go into every nitty-gritty task just to squeeze out some extra score.

Furthermore, while all capabilities must be presented for success, some metrics are considered to be more impactful than others. From this Imbellus research paper , we could deduce that Critical Thinking, Situational Awareness, and Systems Thinking are the fundamental skills that all successful candidates need to possess. 

Meanwhile, Decision-Making and Meta-Cognition skills mastery are the advanced skills that will transform candidates from good to great ones.

The test measures telemetry data to calculate the five dimensions

While it is hard to pinpoint exactly the telemetry data gathered since Imbellus does not fully disclose this information, one way of framing this is by each stage of the problem-solving process itself.

Based on our findings from real candidates, we believe the telemetry could be assorted into the following sets, each directly influencing the key activities during the stages from identifying the problem to delivering the next-step recommendation.

Problem Identification: your systematic thinking pattern

Methodological vs. abstract

Big-picture thinking vs. detail-oriented

Example telemetry: prioritization and focus tendency, clicking and decision pattern

Quantitative analysis & data synthesis: the ability to translate data into insights

Drawing relationship between data

Filter out correlated or irrelevant information

Example telemetry: data focus pattern, time spent on quantitative task

Hypothesis-crafting: bringing insights into actionable hypothesis

Putting emphasis on a certain approach / methodology from insights

Example telemetry: duration of the transition from analysis to decision-making, disrupted status quo period

Decision-making: coherence in actions and thinking

Random selection or well-thought out decisions based on analysis

Decisiveness in carrying out actions with the chosen tactics

Reaction under growing time pressure – panic clicking vs. calm and focus

Example telemetry: factors connecting each selection, time spent deciding between options

Next-step recommendation: learning and reflection

Ability to adjust existing strategy and preference for tried-and-true method in presence of new data set or shifting conditions

Progressive learning and reflection with failures and successes

Example telemetry: number of clicks, scrolling speed, time spent on certain data blocks

Breaking down the test – Redrock Study Task (including free practice test) 

Mini-game overview & description.

The Redrock Study Task began appearing as early as July 2023. Then in March 2023, it received an update which divided the Task into 2 Parts which we will see below.

The first part of the mini-game, also the most important one, consists of ONE large study with a main objective and a set of supporting data . This part is divided into 3 main phases: INVESTIGATION, ANALYSIS, AND REPORT.

Phase 1 - INVESTIGATION : Your task is to skim through the case description, identify the objective and necessary data points, then collect them into an on-screen Research Journal.

Phase 2 - ANALYSIS : Using a provided calculator, you process the data points to answer 3 quantitative questions. These answers will be used to fill in the report in phase 3. Your calculation history will be recorded.

Phase 3 - REPORT : With the results calculated from phase 2, your main job is to complete the textual and graphical report (you have to choose which type of graph to use).

In the second part, you have to answer 10 cases with a similar topic to part one (i.g. If your part 1 case is about clothing sales, the mini cases will also be about clothing sales). Though, our user reports show that the topic is purely cosmetic and does not affect the final assessments. 

As of July 2023, we have only received reports of Single-select Multiple choice questions (that is, choose an answer out of A, B, or C) and Numerical-answer questions . There have been no signs of open-ended questions.

As for the time limit, the whole task is given a total of 35 minutes for both parts. While there are no official time constraints, we recommend spending 25 minutes on the first part , and 10 minutes on the second part to optimize your outcome.

Let’s experience the Redrock Study game through McKinsey Solve free trial !

Breaking down the study in Part 1

In the first part of the Redrock Study Task (we’ll refer to this as the study or case ), the study’s flow is designed to test candidates’ logical and reasoning skills. If you don’t follow the logic carefully, the algorithm may be unable to recognize your thinking process, and view you negatively. Here, we have broken the study down into 4 aspects.

GAME ASPECT 1: UNDERSTANDING THE STUDY

This refers to the first phase of the Redrock Task, which is INVESTIGATION. To truly grasp what you need to do, you must first clearly identify the case's objectives . Then, your next task is to understand all the data points presented within the case, to identify which ones can be used to answer the objective.

In general, all information presented on the screen is needed towards understanding and solving the case. But some are less important than others. Background information and test instructions are usually text-based data that you can’t select or move around. They only serve to give you an overview of the case, like the case’s theme, and don’t need to be collected. 

By contrast, important data points are highlighted and presented in boxes on the screen . You can click and drag these boxes around to work inside the case. Among these movable data points , there are 3 types of crucial information that you need to find:

Case objectives : These are text based data, informing you about the goal that you must solve in the case. It usually sits at the top of the case, right after the instruction. 

Calculation instructions : These are data points telling you which math formula you must use and which numbers to choose. They are often long texts/sentences that describe the relationships (higher/lower/etc.) between subjects in the case.

Numbers : These make up the largest portion of the data points in the case. They usually appear in charts/diagrams (bar chart, pie chart,...), tables, or sometimes in-between texts. You have to collect these numbers into the journal to calculate in the next phase. Only a small percentage of these numbers (10-15%) are actually important to the case.

In general, the rule of thumb is that once you have collected the case’s objectives, you must identify which math formula to use. Only then can you gather suitable numbers that the calculation requires. Also, only a handful of data points are necessary to solve the case, so pick wisely.

You can understand the game aspects better when experiencing the McKinsey Solve Simulation. Click on this link to get a free trial!.

GAME ASPECT 2: COLLECTING DATA POINTS

You can drag any movable data point in any phase of the Redrock test into the Journal to “collect” it. In the Research Journal, each collected “data point” will show up as a card, with its own label and description. Data in the Journal can be used to feed into the Calculator, or into “answer inputs” , (blank spaces under the questions).

Some data comes with appropriate labels for its contents, but some do not . All data labels can be manually changed – we recommend doing so if the default label does not adequately describe the contents. Appropriate labeling will speed up your analysis later, since it allows you to quickly identify the relevant data.

Once collected, each data point can also be highlighted by using the “I” button (presumably for “important”) on the left of its label. Toggling on this button will cover the whole data point in an orange tint. We recommend highlighting information that is needed during the ANALYSIS (or calculation) phase.

Inside the Research Journal, you can move these data points up and to organize them from top to bottom . It’s possible that McKinsey will look at how you organize the data. We’ll give some insights on that later. The specific sorting method is still receiving changes, so we’ll update it as we go.

To familiarize yourself with collecting data points, get access to McKinsey Solve free trial for more practice! 

GAME ASPECT 3: PROCESSING THE DATA POINTS FOR INSIGHTS

During the second phase of the game, you will be provided with 3 quantitative questions that directly relate to the game’s objective. Each one has 2-3 sub-questions with an answer input gap requiring an answer from the calculator. To answer these questions, you have to feed the collected numerical data points into an on-screen calculator, then drag the results into the appropriate gap.

The calculator has a simple interface, similar to a phone’s digital calculator , with basic operators like *,+,-,/. It’s safe to assume that the math involved are usually simple calculations (similar to most candidates' reports). Though they lack the ‘%’ button for percentage calculation.

We recommend that you perform all calculations on the provided calculator, as all your operations are recorded in a history log . So, we assume that how you work towards the answers will also weigh on the final results.

A recommended workflow is to drag the data points from your research journal into the calculator’s input screen to perform the operation. Then you’ll need to drag the result and drop them into the blank space in the question. You should avoid typing the number on your keyboard as it may lead to unfortunate typos.

Here are a few confirmed question types and calculations during phase 2 of part 1:

Basic operations (add/subtract/multiply/divide) : Basic operations don’t often sit alone. They usually have to be involved in complex questions.

Simple percentages and ratios : They require you to calculate simple ratio, percentages and fractions. For example: “What is the percentage of population growth between 2021-2022?” (Provided data: Population number in 2021, Population number in 2022)

Compound percentage questions : They require you to calculate multiple ratios and percentages in a row. For example: “What is the population number at the end of 2023?” (Provided data: Population number at the start of 2022, Population growth rate for 2022, Projected increase in population growth rate for 2023 compared to growth rate for 2022)

One important thing to note, as reported, the results that you get from these questions are almost always needed in the REPORT phase. There’ll be a review screen So ALWAYS collect your answers into the journal.

You can consider using our McKinsey Solve free trial to practice and familiarize with this part. It’s completely free, so try it now!

GAME ASPECT 4: COMPLETING THE CASE REPORT

The Report phase is the last part of the Redrock Study Task. It consists of two parts: Summary and Data Visualization.

Summary involves filling in the blanks of a text-format report, using numbers already given and produced in the previous phases, and expressions such as “higher”, “lower”, “equal to”, etc. The blanks in this phase will likely be somewhat like the answer inputs in the Analysis phase.

Data Visualization involves choosing the correct type of chart and filling in the numbers to produce a meaningful chart for the report. For this step, a difference between the Redrock Study and the old McKinsey PST is the lack of compound chart type. This drastically reduces the difficulty, as you only have to work with simple chart types like bar or pie charts.

Want to experience a simulation of this new game? You can consider purchasing the McKinsey Solve Simulation package from MConsultingPrep. 

We have released the McKinsey Solve free trial, you can click on this link to check it now before purchasing the package.

Mastering the Redrock Study

From what we can see, the Redrock Study Task is more similar to its Problem-Solving Test predecessor than a game. That makes the tips to this task a bit different from the previously-popular Plant Defense game. There’s no instant formula that can guarantee the best chance of survival (maybe this is why Plant Defense got canceled), rather, you must act and think like a McKinsey consultant.

TIP 1: SHOW A TOP-DOWN AND STRUCTURED APPROACH WHILE COLLECTING DATA

A good McKinsey consultant always takes a top-down approach when analyzing a problem, and recruiters often favor candidates with this trait. During the Study, McKinsey can assess this trait when you collect and arrange data.

Always collect the Objectives first . They are the central problems of the case, and represent the highest level of your issue tree. You must always collect them into the Research Journal. If they are too long, you can always note down a summary on a piece of scratch paper.

The next step is to identify the math formula . This type of data governs which calculation formula you need to use, and in turns, which numbers to collect next. We’ll call this the relational data . The objectives will determine the relational data points you need.

Finally, collect the necessary numbers . These are the ones needed for calculating and filling in the final reports . Collect only the ones you need by analyzing the objectives and relational data. Don’t collect all data points erratically , as this showcases that you have no structured thinking.

TIP 2: LABEL AND ORGANIZE DATA

As stated before, once collected into the journal, each data point will have a label and description . Some data points already have good labels, some do not.

It’s possible that McKinsey can recognize good labels , so we suggest always changing the label and description of a data point when necessary. Good label can seem good to an algorithm, and it can also help you analyze them more conveniently. We have a few suggestions as to what constitute a good label:

What is the timeframe? (“Is this data for 2020, or 2021?”)

Which subjects are concerned? (i.e., the things represented by rows and columns in a spreadsheet, or axes on a chart).

Is there anything else I need to keep in mind? (i.e., the footnotes or any auxiliary information that accompanies a chart/table) 

As for arranging data, try to keep it consistent and top-down . “Overview” data points should be placed above the “granular” ones. For example, keep the objectives at the top of your research journal, and below them are relational data points. Numerical data points from the same table should be placed together, and beneath the relational data that refers to them. McKinsey MIGHT take this as a sign that you are a structured person, if not, it will help you solve the case easier.

TIP 3: AVOID GOING BACK AND SHOWING INDECISIVENESS

The game allows you to go back and forth freely between each phase to collect more data points. While this is great for when you make a mistake or need to double check, we don’t recommend doing so.

This behavior signals that the candidate does not understand each section fully and is uncertain about the task. And in phase 1, McKinsey’s instruction clearly states that you should collect all and only relevant data before moving on. It’s possible that moving back and forth can be viewed negatively by the algorithm.

TIP 4: CHOOSE THE CORRECT CHART-TYPE (BAR/LINE/PIE)

We have written an entire guide on how to chart like a McKinsey consultant, so be sure to check it out before attempting this task. But in short, you need to choose the correct type of chart that best describes a certain type of data, in the McKinsey way.

Access to McKinsey Solve free trial , to experience a real simulation and apply these tips to enhance your performance!

Part 2 cases tear down

Since this part of the test has only been introduced recently, we are still in the process of interviewing and synthesizing insights. More information will be updated later as things develop.

TEST FLOW, FORMAT AND DIFFICULTY

There are 6-10 cases in Part 2 , each has a question with directions, text information and data exhibits. Each case also has an onscreen tool to assist you. You must solve the cases sequentially, that means you can’t skip forward and must answer one case before the next.

All 6-10 cases will follow the same theme/topic with the Part 1 study. But from candidate reports, it’s safe to assume that the theme does not play any part in the answer, and each case is self-contained (which means you don’t need numbers of another case to get the answer).

The word count to the 6-10 cases can vary between 100 and 400 words . They only require a fundamental level of quantitative or reasoning skill to solve and don’t require advanced mathematical skills. But most of our candidates struggle to solve them within 10 minutes, so be careful. 

QUESTION TYPES

The questions types that we have seen from candidate reports generally mirror those in part 1. We categorize them into five main types : Word Problems, Formulae, Verbal Reasoning, Critical Reasoning, and Visualization. We also deduced the rate at which these questions appear part 2.

Word problems (50%) are math exercises that require candidates to read the text and exhibit data to solve

Formulae (20-30%) is a similar question type to word problems, but the candidate only needs to identify the formula used for calculation.

Verbal Reasoning (7-8%) and Critical Reasoning (7-8%) are single-select multiple choice questions requiring candidates to choose a “true” or “false” statement among 3-5 options.

Visualization (10%) requires the user to choose the correct type of chart to illustrate the given data.

Part 2 has a near identical format to a traditional Problem-Solving Test (except for the on-screen tool like a calculator similar to Part 1’s). Thus, to save time, we only recommend getting familiar with the interface and mastering fundamental knowledge for a McKinsey consultant (like the issue tree, MECE, etc.) which we covered many times before.

Now, you have a chance to experience these question types and receive their answer guides with no costs. Click on this link for the new McKinsey Solve free trial from MConsultingPrep!

Breaking down the test – Ecosystem Building 

In the Ecosystem Building mini-game, you have to create an ecosystem with 8 species from a list of 39 . There are three key objectives:

(1) The ecosystem must form a continuous food chain

(2) There must be a calorie surplus for every pair of predator and prey (that is, the prey’s production is higher than the predator’s consumption)

(3) The ecosystem must match the terrain specifications of the chosen location.

Here’s a detailed description of data and metrics in the mini-game, and how they relate to the objectives.

Objective 1: Terrain Match

There are two scenarios on which you must build the ecosystem: “the Mountain” and “the Reef”. 

Each location in the Mountain world has the 8 following specifications: Elevation, Temperature, Wind Speed, Humidity, Cloud Height, Soil pH, Precipitation, Air Pressure.

Each location in the Reef has the 7 following specifications: Depth, Water Current, Water Clarity, Temperature, Salt Content, Dissolved Oxygen, Wind Speed.

Terrain specifications have very little correlation.

Each species also has a few required terrain specifications – if these terrain requirements are not met, the species will die out . These requirements are often not exact numbers, but ranges (e.g: Temperature: 20-30 C). 

All 39 species are organized into 3 equal groups using their terrain specs – I call them “layers”. Species of the same layers have exactly the same terrain species.

Objective 2: Food Chain Continuity

Each species has a few natural predators (Eaten By), and prey (Food Sources) – see below for exceptions.

The species are divided into producers (which are plants and corals, which consume no calories), and consumers. Consumers can be herbivores (plant-eating animal), carnivores (animal-eating animal), or omnivores (eats both plants and animals).

Producers always have the Food Sources as “sunlight” or other natural elements, i.e. they do not have prey. Some consumers are “apex animals”, meaning they do not have natural predators (can be recognized by empty the “Eaten By” specs). These have strategic implications in building the food chain. 

 Objective 3: Energy Balance

Each species has a “calorie needed” and a “calorie provided” figure . A species lives if its calorie needed is less than the sum calorie provided of the species it eats (so it has enough energy to survive) and its calories provided is higher than the sum calorie provided of the species that eat it (so it’s not eaten to extinction).

Two caveats apply here: a species often don't eat all of its prey and is not eaten by all of its predators. There are certain rules for priorities (see the “Feeding Overlap” issue) and more often than not, predators and prey will interact on a one-to-one basis.

In old versions of the game, each species will be placed on a group basis, with the number of individuals in each group ranging from 20 to 60. In these versions, calorie specs are “per individual”, so you have to perform the math to get the true consumption and production figures of the whole species.

New versions discarded this “per individual” feature, presenting the calorie specs for the whole species as one, but there is no guarantee the old feature won’t be re-introduced.

As of game-flow, t he candidate is free to switch between choosing location and species during the mini-game . There is also a time bar on the top of the screen.

Old reports indicate that once you’ve submitted your proposed ecosystem, you would receive a scorecard in the end, showing how it actually plays out. Key measurements might include calories produced and consumed, and the number of species alive.

However, recent reports have indicated that results aren't displayed at the end . In either case, it is safe to assume that the underlying principles remain the same.

Cracking the mini-game

The biggest challenges in the Ecosystem Building mini-game are task prioritization and data processing – most test-takers report that they are overwhelmed by the amount of data given, and do not know how to approach the problem. However, the second problem can be mitigated by reading the rules very carefully, because McKinsey provides specific and detailed instructions in the tutorials.

To overcome both challenges at the same time, first, we need to know the “eating rules” (i.e. how species take turns to eat) and then we can develop a 3-step approach to meet those challenges.

EATING RULES AND FEEDING OVERLAP

In the McKinsey PSG Ecosystem mini-game, species take turns to eat and get eaten, in accordance to very specific and comprehensive rules:

1. The species with the highest Calories Provided in the food chain eats first.

2. It eats the species with the highest Calories Provided among its prey (if the eating species is a producer, you can assume it automatically bypass this step, as well as steps 3-5).

3. The eating species then “consumes” from the eaten species an amount of Calories Provided that is equal to its Calories Needed, which is at the same time substracted an amount equal to the Calories Provided taken from the eaten species.

4. If there are two “top prey” species with the same Calories Provided, the eating species will eat from each of them an amount equal to 1/2 of its Calories Needed.

5. If the Calories Needed hasn’t been reduced to 0 (i.e.: satisfied), even if the eating species has consumed all the Calories Provided of the first prey the eating species will move on to the next prey with the second-highest Calories Provided, and repeat the above steps; the prey that has been exhausted its Calories Provided will be removed permanently from the food chain and considered extinct.

6. After the first species have finished eating, the cycle repeats for the species with the second-highest Calories Provided, then the third-highest, etc. until every species has already eaten. Note: in every step where species are sorted using Calories Provided, it always uses the most recent figure (i.e. the one after consumption by a predator).

7. At the end of this process, all species should have new Calories Provided and Calories Needed, both smaller than the original figures. A species survive when its end-game Calorie Needed is equal to 0, and Calorie Provided is higher than 0.

Let’s take a look at an example – try applying the rules above before reading the explanation, and see if you get it right:

Now, here’s how this food chain is resolved:

The three producers automatically have their Calories Needed satisfied and does not need to eat anything.

The first species to eat is an animal – the Mouse. It eats equally from Grass and Mushroom, which have equal Calories Provided, an amount of 2,000 each. The Mouse’s Calories Needed reduces to 0, while the Calories Provided for Grass and Mushroom reduce to 3,000 each (Grass and Mushroom survive).

The second species to eat is the Squirrel. It should have eaten Grass, but Grass’s new Calories Provided is only 3,000, so the Squirrel picks Nuts instead. Squirrel’s Calories Needed becomes 0, while Nuts’ Calories Needed becomes 500 (Nuts survive).

The third species to eat is the Snake. It eats the Mouse, reducing its own Calories Needed to 0 while taking 2,000 from the 3,000 of the Mouse’s Calories Provided. (Mouse survives)

The fourth species to eat is the Fox. It eats the Squirrel, reducing its own Calories Needed to 0 while taking 2,000 from the 2,500 of the Squirrel’s Calories Provided. (Squirrel survives)

The last species to eat is the Tiger. It eats the Snake first, taking away all of the Snake’s 1,500 Calories Provided, then proceeds to take 500 from the Fox’s 1,200, so that its Calories Needed can be reduced to 0 (Snake becomes extinct, Fox survives)

The Tiger is not eaten by any other animal (Tiger survives).

With these rules in mind, let us go through a 3-step process to building a food chain:

Step 1: Select the location

Use a spreadsheet or scratch paper to list the terrain specs and calories provided of the producers of the mini-game.

Skim through the data to see which terrain specs remain the same across all species, and which ones change. Only changing terrain specs are relevant (there should be 2 of them), the rest are merely “noise” intended to cause information overload.

Calculate the sum calories provided for the producers of each layer. The layer with the highest calories provided is likely to be the easiest to build the chain.

Step 2: Build the food chain

Look through the data to list the consumers with compatible terrain requirements in your spreadsheet.

Pick the apex predator with the lowest calorie needed as the starting point of the food chain.

Build the food chain top-down like an issue tree, by listing the food sources of the top predators. Continue drilling down until you reach the “base” level of corals and plants. Ideally the food chain should contain 3-4 levels, and 8 species.

Alternatively, you can build the food chain in a bottom-up manner, by looking at the “Eaten By” specs of each species, until you reach the top predators. Our reports indicate that in real test conditions, this approach can be just as fast as the top-down one.

During the whole process, try to prioritize species with high calories provided, and low calories needed. This should maximize the chance of calorie surplus in the food chain, and leave room for new additions should the first chain not meet the required 8 species.

If you finish the chain short of the required 8 species, work bottom-up to find gaps (i.e unused surplus calories), and plug in those gaps with predators or plant-eating animals.

The whole process should be done on a spreadsheet/scratch paper to facilitate calculations.

Step 3: Triple-check and adjust

Go back to the beginning of the process and check if every species of your food chain is compatible with the chosen location.

Make sure the food chain is continuous – that is, the food sources listed fit with the description of each species.

Check if each species in the food chain is supplied with enough calories and not eaten into extinction using the given eating rules.

Adjust the food chain if any of the three checks are not met.

Breaking down the test – Plant-Defense

Though McKinsey is gradually phasing out this test, we are still receiving sporadic reports of it being used for candidates (about 10-20% in total) . So for the sake of information sharing, this section will still remain in our article, and will be updated as changes happen.

The second mini-game of the McKinsey Solve Game – Plant-Defense – is a turn-based tower-defense game. The candidate is charged with defending a plant at the center of a grid-based map from invading pests, using obstacles and predators, for as long as possible, until the defenses are overwhelmed and the plant is destroyed.

Here’s a detailed description of the gameplay:

The visual map is divided by a square grid (size from 10×10 to 12×12), with natural obstacles (called Terrain, or Terrain Transformations) scattered across the map.

The game has a recommended time allocation of 12 minutes per stage – which makes 36 minutes in total.

The game is divided into three maps, each with 2 phases – “planning phase” and “fast-forward phase”.

The “planning phase” is divided into 3 waves of 5 turns each. Every 3-5 turns, a new stack of Invaders appears at the border of the map and starts traveling towards the center base – you have to lay out defensive plans to tackle them. The phase lasts until you eliminate all the Invaders / you survive at the end of the 15th turn / your plant is destroyed.

The “fast-forward phase” comes after the 15th turn of the planning phase. All the remaining Invaders from the planning phase will continue attacking. Your defensive scheme remains unchanged, and unchangeable. Invaders will continuously spawn and attack until the base is destroyed.

After you’ve finished the game, the number of turns your plant survived will be used as the basis for the product scores.

Game aspect 1: Resources

At the beginning of each wave, you are allowed to choose and place 5 resources – divided into Defenders (such as Coyote, Snake, Falcon etc. which kill the Invaders) and Terrains (composed of Cliff, Forest, and Rocky, which slow down or block the invaders). Each will be assigned to one turn of the current wave.

After each turn, the Defender/Terrain of that turn will be activated and locked – meaning you cannot change or remove its placement. The rest can be altered to adapt with the circumstances. The only exception is the Cliff, which activates right after its placement. 

Each Defender has a range/territory – once an invader steps into that range/territory, the Defender will damage them, reducing their population. The range varies between each Defender type – but in general the more powerful they are, the smaller their range is.

Each Terrain is effective towards different types of Invaders and in different ways, with some blocking the Invaders while others slowing them down.

Each Terrain and Defender will occupy one square. You cannot place Defender on top of an existing Defender, and if a Terrain is placed on top of an existing Terrain, it will replace the existing Terrain.

Defenders and Terrains form mutually compatible pairs which can exist on one same square. 

 Game aspect 2: Invaders

Invaders will appear from the map borders every 3-5 turns, in stacks of 100-200 population each, and move one step closer to your plant by each turn. The population of the stacks increases gradually.

Each Invader stack is accompanied by a path indicator – a long yellow arrow showing the direction it will take. The invader will always take this path unless blocked by Cliff.

Each Invader is countered by certain types of Terrain/Defender.

As the Plant Defense mini-game of the McKinsey Solve Game is essentially a tower-defense game, the basic tactics of that game genre can be applied – namely inside-out building and kill-zones. However, as the mini-game locks you from changing placement after a number of turns, contingency planning is also necessary.

I’ll elaborate each of those tactics:

INSIDE-OUT, MULTI-LAYERED DEFENSE

In this tactic, you build multiple layers of defenders outwards from the base, assisted by terrain.

Place your resources close to the plant first. As the inner rings of the map are smaller in circumference, and paths usually converge as you advance towards the center, this helps you maximize the coverage of each resource around the plant early on.

In the example below, the “inside-out” approach only takes 8 resources to protect the plant from all directions, while the “outside in” approach takes 24. With this approach, place your most powerful resources closest to the plant, and expand with the less powerful, but longer-range ones.

BIG-PICTURE MINDSET

This isn’t so much of a “tactic”, but a reminder – after 15 turns, you won’t be able to change or place more resources, so try to identify the pattern of the invaders, and quickly adapt your strategy accordingly. It will take a few initial turns to experiment which works best for each type of invader.

Use your resources prudently, create an all-round protection for the plant – lopsided defenses (i.e heavy in one direction, but weak in others) won’t last long – and lasting long is the objective of this mini-game.

Alternative mini-games

In June 2023, we received reports that these alternative mini-games have disappeared completely . When McKinsey decided that these games can’t accurately assess a candidate’s skills , they removed these tests. But in the future, as the McKinsey Solve evolves, there’s a chance they will re-adopt these games or develop new ones based on them. Thus, this section of the article exists only to provide a record, you can skip right to the next part.

Alternative 1: Disaster Management

In the Disaster Management mini-game of the Solve Game, the candidate is required to identify the type of natural disaster that has happened to an ecosystem, using limited given information and relocate that ecosystem to ensure/maximize its survivability.

With the two main objectives in mind, here’s how to deal with them:

Identify the disaster : this is a problem-diagnosis situation – the most effective approach would be to draw an issue tree with each in-game disaster as a branch, skim through data in a bottom-up manner to form a hypothesis, then test that hypothesis by mining all possible data in game (such as wind speed, temperature, etc.)

Relocate the ecosystem : this is a more complicated version of the location-selection step in the Ecosystem-Building mini-game, with the caveat that you will first have to rule out the locations with specs similar to the ongoing disaster. The rest can be done using a spreadsheet listing the terrain requirements of the species.

Like the Ecosystem Building mini-game, you will solve this mini-game only once, unlike the Plant Defense and the next Disease Management mini-games with multiple maps.

Alternative 2: Disease Management

In the Disease Management mini-game of the Solve Game, the candidate is required to identify the infection patterns of a disease within an ecosystem and predict the next individual to be infected.

The game gives you 3-5 factors for the species (increasing as the game progresses), including name, age, weight, and 3 snapshots of the disease spread (Time 1, Time 2, Time 3) to help you solve the problem.

There is one main objective here only: identify the rules of infection (the second is pretty much straight forward after you know the rules) – this is another problem-diagnosis situation. The issue tree for this mini-game should have specific factors as branches. Skim through the 3 snapshots to test each branch – once you’re sure which factor underlies and how it correlates with infection, simply choose the predicted individual.

Alternative 3: Migration Management

The Migration Management mini-game is a turn-based puzzle game. The candidate is required to direct the migration of 50 animals. This group carries a certain amount of resources (such as water, food, etc.), often 4-5 resources, each with an amount of 10-30. Every turn, 5 animals die and 5 of each resource is consumed.

It takes 3-5 turns from start to finish for each stage Migration mini-game, and the candidates must place 15 stages in 37 minutes. The candidate must choose among different routes to drive the animals. In each stage, there are points where candidates can collect 3 additional animals or resources (1-3 for each type), and choose to multiply some of the collected resources (1x, 3x and 6x); the game tells the candidate in advance which resources/animals they will get at each point, but not the amount.

The objective is to help the animals arrive at the destination with minimal animal losses, and with specific amounts of resources.

With all of these limited insights in mind, here’s what I recommend for the strategy:

Nearly every necessary detail is given in advance, so use a scratch paper to draw a table, with the columns being the resources/animals, and the rows being the routes. Quickly calculate the possible ending amount for each resources, assuming you get 2 at every collection point (good mental math will come in handy).

Choose the route with the highest number of animals, and “just enough” resources to meet requirements.

Test-taking tips for the McKinsey Solve 

Besides the usual test-taking tips of “eat, sleep and rest properly before the test”, “tell your friends and family to avoid disturbing”, etc. there are five tips specifically applicable to the McKinsey Solve Game I’ve compiled and derived from the reports of test takers:

Tip 1: Don’t think too much about criteria and telemetry measurements

You can’t know for sure which of your actions they are measuring, so don’t try so much to appear “good” before the software that it hurts your performance. One of our interviewers reported that he refrained from double-checking the species information in the Ecosystem Building mini-game for fear of appearing unsure and unplanned.

My advice is to train for yourself a methodical, analytic approach to every problem, so when you do come in for the test, you will naturally appear as such to the software. Once you’ve achieved that, you can forget about the measurements, and focus completely on problem-solving.

Tip 2: Don’t be erratic with in-game actions

While you don’t want to spend half your brain-power trying to “look good” to the software, do avoid erratic behaviors such as randomly selecting between the info panels, or swinging the mouse cursor around when brainstorming (yes, people do that – my Project Manager does the same thing when we do monthly planning for the website).

This kind of behavior might lead the software into thinking that you have unstable or unreliable qualities (again, we can never know for sure, but it’s best to try). One tip to minimize such “bad judgment” is to take your brainstorming outside of the game window, by using a paper, or a spreadsheet. 

Tip 3: Always strive for a better solution (Ecosystem Building)

Some of the interviewed test-takers seem to be under the wrong impression that “the end results do not matter as much as the process” – however, for the McKinsey Solve, you need good end results too. This is especially true in the Ecosystem Building, where a “right” answer with no species dying can be easily found with the right strategy.

Consulting culture is highly result-oriented, and this game/test has product scores to reflect that. Having a methodical and analytical approach is not enough – it’s no use being as such if you cannot produce good results (or, “exceptional” results, according to MBB work standards).

Tip 4: Showcase fundamental skills for a McKinsey consultant (Redrock Study)

McKinsey is always looking for candidates with the exact skill set for a model consultant: structured, logical, and professional. The McKinsey Solve Test is designed to do just that: to look for the right set of skills (with a lot of tracking and algorithms).

Through all parts of the Redrock Study Task, you must exhibit that you are a model McKinsey prospect. Here are a few things that they will value during the Redrock Study:

Strong mental math skills : A consultant MUST quickly pitch insights and calculations to clients and CEOs (elevator pitch). You’ll have to quickly choose a logical math formula and deliver results (not necessarily accurate). That’s why in all stages of the test involving math and a calculator, always do your calculations step-by-step on screen (if there’s an on-screen tool). 

Structured, top-down thinking : A candidate has to demonstrate that they are  a hypothesis-driven, structured problem solver . In other parts of the interview process (like the case interview), it is shown through a MECE, top-down issue tree. In the Redrock Study Task, you can show off this skill via organizing data points in the Research Journal , which we discussed above.

Choosing the right charts : A McKinsey consultant will chart like a McKinsey consultant . Each type of data must go with a corresponding type of chart. We have included a guide on consulting charts in our product shop. So check it out 

We have also linked to relevant preparation resources below, to help you master these skills more easily. So be sure to check them out. In Particular, we recommend you to use the McKinsey Solve free trial . It’s a free simulation of the real McKinsey Solve game.

Tip 5: Prepare your hardware and Internet properly before the test

While the McKinsey Solve Test does not require powerful hardware, the system requirements are indeed more demanding than the usual recruitment games or tests. A decent computer is highly-advised – the smoother the experience, the more you can focus on problem-solving.

On the other hand, a fast Internet connection is a must – in fact, the faster, the better. You don’t want to be disconnected in the middle of the test – so tell other users on your network to avoid using it at the same time as the test, and go somewhere with a fast and stable connection if it’s not available at your home.

How to practice for the McKinsey Solve Test 

Hypothesis-driven problem-solving approach.

See this article: Issue Tree, MECE

You may have noticed a lot of the solutions for the mini-game involve an “issue tree” – the centerpiece of the hypothesis-driven problem-solving approach that real consultants use in real projects.

This problem-solving approach is a must for every candidate wishing to apply for consulting – so learn and try to master it by applying it into everyday problems and cases you read in business publications. Practicing case interviews also helps with the McKinsey Solve as well.

You can see the above articles for the important concepts of consulting problem-solving.

Mental math and fast reading skills

See this article: Consulting Math, Fast Reading

The McKinsey Solve Test – especially the 3 ecosystem-related mini-games – requires good numerical and verbal aptitude to quickly absorb and analyze the huge amounts of data. Additionally, such skills are also vital to case interviews and real consulting work.

That means a crucial part of practice must include math and reading practice – see the above articles for more details on how to calculate and read 300% faster.

Practice with video games

As many games in the previous PSG have been eliminated, playing video games as part of practice has become less effective. But, we still recommend playing similar games to the Ecosystem Building (mainly) and Plant Defense mini-games.

Test-takers who regularly play video games, especially strategy games, report a significant advantage from their gaming experience. This is likely due to three main factors:

The McKinsey Solve Test’s games are in fact similar in logic and gameplay to a few popular video game genres. The more similar a game is to the McKinsey Solve, the better it is for practice.

Video games with data processing and system management also improve the necessary skills to pass the Solve.

Playing video games helps candidates understand how the interface as well as the objective system of a game works – improving their “game sense”.

I am not a fan of video games – in fact, after leaving McKinsey I founded an entertainment startup with the mission to fight the increasing popularity of video games. Yet now I have to tell you to spend a few hours each week playing them to get into McKinsey.

The question is, which games to play? Here’s a list of the games and game genres my team have found to possess many similarities with the McKinsey Solve Test:

City-building games

SimCity series

Caesar series (Zeus and Poseidon, Caesar III, Emperor ROTK)

Anno series (Anno 1404, Anno 2070, etc.)

Cities Skylines

These are very similar in logic to the Ecosystem Building mini-game – you need to balance the production and consumption of buildings and communities, which usually have specific requirements for their locations.

The difference between these and the PSG is that most games are real-time and continuous, meaning you have the opportunity to watch your city develop and correct the mistakes – in the Solve you need to nail it from the start! With that said, the amount of data you need to process in these games will make the McKinsey Solve a walk in the park; the learning curve is not too high either, making these games good practice grounds.

 Tower defense games

Kingdom Rush series

Plants vs Zombies series

Tower-defense games such as Kingdom Rush are near-perfect practices for the Plant Defense mini-game of the McKinsey PSG. Our basic “kill-zone” tactic in fact comes from these games.

Again, there is a caveat when practicing with games – both Plants vs Zombies and Kingdom Rush allow you to correct your mistakes by having the invaders attack the base multiple times before you lose. Both games also feature fixed and predictable paths of invasion. In the PSG, the path of the invaders changes with your actions, and if they reach your base, you’ll lose immediately.

Grand strategy and 4X games

Civilization series

Europa Universalis series

Crusader Kings series 

Grand strategy and 4X games combine the logic of system-building and tower-defense games (with Civilization being the best example), making them good practice for both games of the Test . They also require players to manage the largest amount of data among popular game genres (sometimes multiple windows with dozens of stats each).

However, they are also the games with the steepest learning curves – so if you are not one for video games, and/or you don’t have much time before the Test, these games are not for you. They are also less similar to the PSG on the surface, compared to the two genres above.

New release: McKinsey Solve free trial

In 2023, we released a new product – Redrock Study Task to feature a new game of McKinsey. The Redrock Simulation can be purchased in Mckinsey Solve Simulation (All-in-one) package.

Recently, we have officially launched the McKinsey Solve free trial . It provides unlimited attempts at a Redrock Study simulation with formats and interfaces similar to the real test. More important: It’s completely free. So, why don’t you give it a trial?

Scoring in the McKinsey PSG/Digital Assessment

The scoring mechanism in the McKinsey Digital Assessment

Related product

McKinsey Solve Simulation (All-in-One)

The one and only existing platform to practice three mini-games of McKinsey Solve in a simulated setting

If you rank above the 75th percentile (i.e. top 25% of candidates), and has a good resume, you are likely to pass the McKinsey Solve Game / PSG.

You can increase your McKinsey Solve scores through: time management, data-scanning, noise-filtering, note-taking, and having a good computer and Internet.

Experienced hires are preferred for expert and implementation roles, while opportunities for freshers are available for positions requiring less expertise"

McKinsey Problem Solving Game – Guide 2023

Games-based assessments are being used by a number of the top strategy consulting firms now. BCG has partnered with Pymetrics and launched a BCG Online Case, Arctic Shores is working with Strategy& (via PwC), and McKinsey launched their problem-solving game developed with Imbellus in 2019.​

The game (officially called Solve, but also referred to as the problem-solving game/ PSG , the Imbellus game, or the digital assessment) replaces the in-person, pen-and-paper te­st that McKinsey has used for many years up until recently (the McKinsey Problem Solving Test). The game proved very effective in assessing candidates more holistically while reducing bias against those unfamiliar with standardized testing and helping scale recruitment during the era of pandemic-driven lockdowns. As of May 2020, it has been used to test 15,000 McKinsey applicants in more than 30 countries. These numbers have undoubtedly grown exponentially since then as more cohorts take the test and McKinsey rolls it out to the rest of its firm network.​

Overall games-based assessments are gaining popularity for the ability to filter down the candidate pool in an intuitive, unbiased way that tests both numerical reasoning and logical reasoning skills . The McKinsey digital assessment is used for exactly that purpose.

Table of Contents

• 1. Traits They Are Testing in the McKinsey Digital Assessment​
• 1.1 Critical Thinking
• 1.2 Decision-making
• 1.3 Metacognition
• 1.4 Situational Awareness
• 1.5 Systems Thinking
• 2. Look And Feel of the McKinsey Digital Assessment
• 3. Structure of the McKinsey Digital Assessment
• Scenario 1: Ecosystem Management
• Scenario 2: Plant Defense
• Scenario 3: Disaster Management
• Scenario 4: Disease Management
• Scenario 5: Migration Management
• Scenario 6: Redrock Study
• 4. Top Tips For the McKinsey Digital Assessment
• 5. About the Author

The McKinsey digital assessment provides a way of testing candidates' thinking ability and personality traits that are harder to revise for and therefore offers a way of testing that does not reward those that prepare more extensively. It also provides a safe environment to test how comfortable candidates are making decisions with imperfect information , a skill particularly important for strategy consultants .​

McKinsey prides itself on being a firm with some of the leading thinkers in the world and has been described as the ‘ CEO factory ’ for its alumni list that includes Cheryl Sandberg (COO of Facebook), Sundar Pichai (CEO of Alphabet and Google), James Gorman (CEO of Morgan Stanley), and many more. For this reason, it is unsurprising that their games-based assessment focuses on testing thinking over personality traits .​

The five skills that McKinsey specifically looks to test with their digital assessment are:​

Critical thinking is the conceptualizing, analyzing, and synthesizing of information based on observation, experience, reflection, or reasoning. For strategy consultants such as McKinsey, this is an important skill as client problems are often unique and complex . To reach clear and concise recommendations or conclusions, strategy consultants must practice strong critical thinking skills to reduce the noise down to the critical points only.​

Decision-making based on fragmented, imperfect information is critical as McKinsey advises some of the world’s largest companies. The discipline of strategy consulting brings structure and logic to some of the most important decisions CEOs will make in their tenure and so McKinsey expects all their consultants to be competent and comfortable making decisive decisions .​

Metacognition is the ability to assess your own thinking and learning . Throughout a client engagement, a consultant’s knowledge and information base will increase and perhaps change the previous opinions put forward. The ability to critique and change thinking and logical reasoning based on the emergence of new information is important to reach the best possible outcome for the client.​

Situational awareness has historically been tested using situational judgment tests and is the decision-making of an individual in a social-based scenario, such as the workplace. As consulting is a project-based, client-facing profession, the ability to make sound, appropriate decisions is important to building and maintaining working relationships .​

Systems thinking is the holistic approach to analysis that considers the whole system, its individual parts, and how they interact with each other. Organizations and business models can all be conceptualized using systems thinking and it is also a strategy consultant's preferred way to isolate issues and present recommendations as it makes it easy for clients to understand their thinking and where it fits in the wider picture.

It is important to note that candidates are continuously assessed on these traits throughout the game and not just based on the outcomes at the end. Even something as minor as a keystroke, a click, or a movement of the mouse will be tracked and assessed. The traits will then be benchmarked against a benchmark to see if the candidates will be a good fit for the firm.

The McKinsey digital assessment is played on a desktop rather than a smartphone like other types of games. It looks and feels like a PC game similar to those that were popular 15 years ago such as SIMs and is highly intuitive for the user to navigate .

In the McKinsey digital assessment, candidates have around 70 minutes to complete two game scenarios (tutorial time is excluded), selected from a pool of six known ones.

The six possible scenarios in the digital assessment that have been published by McKinsey include:​

Objective : To build a self-sustaining natural ecosystem in a coral reef or a mountain range.

The candidate is provided with a selection of different animals and plants, each requiring and providing varying amounts of nutrients, as well as needing different living conditions. The candidate must assess the benefits of each and select an optimal combination of species and location that will ensure a sustainable ecosystem .​

The candidate needs to build a sustainable chain of 8 species in order to successfully pass this game.

Objective: To protect an endangered species of plant from incoming invaders​.

The routes of invaders are shown on a grid that increases in size during the game. Using the combination of a limited number of defenders (i.e., predators that hunt the invaders) and terrain (which slows down or blocks the path of the invaders), the user must prevent the plant in danger from being reached by the invader for as long as possible.​

Objective : To identify an incoming natural disaster and take necessary evasive action for a group of animals.​

Symptoms of a natural disaster are presented to the candidate such as wind speed, precipitation, and air temperature. Using this information, the candidate has to identify a natural disaster . Each type of disaster has a different expected impact on the island, where a group of animals lives.​

Knowing this, the candidate must choose where to relocate the group of animals whilst ensuring they will be protected, sheltered, fed, and watered sustainably in the new location.

Objective : To identify a mysterious disease spreading through a population and the animals that could be affected by it.​

An animal population is showing symptoms of a disease . Based on the symptoms detected, the candidate must conclude which animals will be affected next and the rules that will lead to the infection.

There are usually two maps in this game, with the second one being substantially more complex since the number of variables for each animal will increase.

Objective : To migrate a group of animals on a path from point A to point B while maximizing the number of animals surviving.

The candidate starts each map with a set of allocated resources (e.g., apples, water, nuts) and is presented with many branching paths to help their animal group reach the final destination. At each step, a certain number of resources will be consumed; the candidate will also be able to collect additional resources and animals at each step. If the candidate has insufficient resources for a specific step, a few animals will be lost.

With this in mind, the candidate must identify the resources needed for survival, plan the path to collect those resources and minimize movements to ultimately reach the final destination with as many animals as possible.

Objective : To select relevant information out of text, graphs, and tables provided and answer a few numerical questions.

This is the new entry between the McKinsey games as it was first launched in 2022.

The candidate will see information related to a few animal species, including text paragraphs, graphs, and numbers, and will have to select relevant parts to use for his/her research. The information can be dragged and dropped into a separate part of the screen and collected in a research journal.

After the research phase, the candidate will have to use the information collected to answer three quantitative questions related to the animal species.

Here are some key tips to ensure you ace the McKinsey digital assessment:​

1. Use trusted prep material for the test – Guides like the Imbellus Solve Game Secrets guide or the Imbellus Solve Combo can help you to be ready for the game and learn tips and tricks to save precious time during the assessment. With 300+ 5-star reviews, you can be confident that these guides will deliver what they promise.

2. Utilize an Excel template to speed up time during the Ecosystem Game – During the common first game - the Ecosystem Management - you can greatly increase your speed with an Excel tool. The Imbellus Solve Combo includes an automated Excel that can help you to build a chain in as little as 16 minutes and complete the Ecosystem in less than 70% of the time required.

3. Take advantage of the tutorials to get ready – Before each game, you will have a short tutorial during which time is not counted. You can use the tutorial to have a break, understand the rules of the game and get ready for the next part of the assessment.

4. Take the assessment in a quiet environment – The games take approximately 70 minutes. Ensuring you are taking the test in an environment without distractions will increase the chances of optimal performance in each game.​

5. Complete the assessment at the time of your peak performance – For most people, the cognitive ability is higher in the morning when they are most awake and alert. For tasks requiring focus and attention, this is particularly important, thus taking the games in the morning will likely increase your performance.

Make sure to check out the Consulting Q&A threads about the McKinsey Problem Solving Game to receive insights from former management consultants as well as candidates who have passed the Imbellus test !

By now you have learned a lot about how to master the McKinsey Problem Solving Game . With all the information from the article and further preparation material , you will be perfectly prepared to ace the Imbellus test and make it to the first round of the McKinsey interview !

As soon as you receive the invitation to the interview, don't forget to read through the articles on the McKinsey Problem Solving Interview as well as those on how to master the McKinsey Personal Experience Interview (PEI) . Those will give you guidance for your further case interview preparation and will help you land the job you want at McKinsey!

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McKinsey Problem Solving Game (Solve)

Welcome to our market-leading interactive McKinsey Solve Game Simulation. You'll have the chance to experience the assessment firsthand with our proprietary software. Our simulation includes three games from the assessment:

• Ecosystem Creation: Create over 6 distinct ecosystems within the Mountain Ridge and Coral Reef scenarios.
• Redrock Study: Practice with 4 full-length scenarios that include both study and cases sections.
• Plant Defense: Protect the native plant across an unlimited number of scenarios.

Explore Our Interactive Demo Today

We invite you to dive into the first few minutes of the Ecosystem Creation: Coral Reef game through our free demo provided below. Experience the tutorial, browse the guidebook, select four monitors, and hover over the ecosystem to pick your starting location.

As you purchase the full game, you can browse the entire set of species and start building your ecosystem. Alternatively, you'll also get access to the other ecosystem creation game, Ecosystem Creation: Mountain Ridge, as well as Redrock Study and Plant Defense games.

Video Guide: Tips and Game Walkthrough

Dive into the McKinsey Solve (Problem Solving Game) with our detailed guide, featuring exclusive in-game footage from Prepmatter's interactive simulation. Our video offers a comprehensive look into the game's structure, covering the Ecosystem Creation (including both Mountain Ridge and Coral Reef scenarios), the Redrock Study, and the Plant Defense game. 

For the Ecosystem Creation game, we break down the general layout and share key eating rules and strategic tips on selecting the optimal location to establish a sustainable ecosystem, supplemented with practical examples. This segment is designed to equip you with the knowledge needed to navigate through the complexities of ecosystem management.

The Redrock Study, a newer addition to the Solve game, receives an in-depth analysis across its Study and Cases sections. We dissect the Investigation, Analysis, and Report phases, providing in-game visuals to demystify the game's setup. Our guide includes best practices for gathering relevant data points, performing accurate calculations, and effectively summarizing findings in both written and graphical forms. Additionally, we delve into the Cases section, where you'll encounter 6 mini-cases, offering insights into what to expect and how to approach each scenario.

Although the Plant Defense game has been largely replaced by the Redrock Study, we haven't overlooked it. Our guide presents the game setup, detailing essential strategies for terrain transformation and the deployment of animals to defend the native plant. Through strategic advice, we aim to help you extend the plant's defense for as long as possible.

Full Game Reveal: Master McKinsey's Problem Solving Game

Dive into the comprehensive gameplay experience with our brand-new video guide! We're excited to unveil the first complete walkthrough of the McKinsey Problem Solving Game in the market, providing an unmatched practical learning opportunity. Follow along as we navigate through the intricacies of Ecosystem Creation, Redrock Study, and Plant Defense.

In the Ecosystem Creation section, discover how to identify the optimal habitat, select a balanced group of species, and employ strategies that pave the way for a thriving ecosystem. Progressing to the Redrock Study, we dissect the study and case phases of the intriguing Nolotiles scenario, exclusively provided through Prepmatter. Concluding with Plant Defense, our guide imparts tactics for positioning animals and barriers to safeguard the native plant.

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McKinsey Problem Solving Game: the ultimate guide

McKinsey's Problem Solving Game (PSG), also known as the Imbellus test or Digital Assessment, is a virtual "test" used to evaluate McKinsey candidates during the application process.

McKinsey says that no specific preparation is needed for the new assessment. However, in our experience you can (and should) prepare for the test. In the guide below we've compiled key information about the McKinsey Problem Solving Game and some tips to help you get ready. Let's get started!

Click here to practise 1-on-1 with McKinsey ex-interviewers

1. background, 1.1 what is the mckinsey problem solving game (psg).

Let's start high-level. The McKinsey Problem Solving Game is an assessment that the firm is using in order to evaluate their applicants during the early stages of the interview process. 

If you're familiar with the McKinsey PST (Problem Solving Test), then it will be helpful to know that the Problem Solving Game is intended to serve a similar function (i.e. screen candidates early in the process) but in a very different way.

McKinsey's Problem Solving Game is really the first assessment of it's kind in the consulting industry. For a brief overview of the assessment that comes straight from McKinsey, check out this video .

1.2 Purpose

At the end of the day, McKinsey's business is dependent on hiring exceptional problem-solvers to serve their clients. The purpose of the Problem Solving Game is to help McKinsey do a better job of finding the best talent among their vast pool of annual applicants. 

Now, to be more specific, the Problem Solving Game is intended to help the firm do a few things in particular:

• Hire the candidates who will perform best on-the-job, not just the candidates who can do well on a test
• Evaluate the thought process of candidates, rather than just their final answers
• Increase diversity by reducing the biases of other methods of standardised testing (like the McKinsey PST)

McKinsey's global director of people analytics and measurement, Keith McNulty , alluded to the above priorities when he made this comment about standardised multiple-choice tests: " [T] here’s a large amount of strategy, preparation, and luck involved in multiple-choice tests, and if you use them in the selection process, it reinforces the status quo—at a time when you are looking to widen the scope of candidates you’re hiring.”

1.3 Imbellus (acquired by Roblox)

The McKinsey Problem Solving Game was not built in-house by the firm. Instead, they worked directly with a start-up called Imbellus, in order to develop the assessment. In 2020 Imbellus was acquired by Roblox but McKinsey has continued using the digital assessment.

The core idea of the Problem Solving Game is to evaluate how people think, not just what they know. McKinsey believes that standardised testing is a poor predictor of real-world performance, and so they aim to evaluate candidates in a more robust and less biased way with this test.

1.4 Pilot and roll-out

The Problem Solving Game was tested with an initial group of 527 McKinsey candidates  at the London office in November of 2017. Then in late 2018 , the test was given to additional candidates from additional McKinsey offices. During these tests, the assessment could only be given on McKinsey-owned computers at a local McKinsey office. 

But then, a new version of the assessment was developed that allowed it to be taken online. The online version of the assessment was rolled out in late 2019, and as of the writing of this article, the Problem Solving Game has been played by over 15,000 people in at least 30 countries. 

Today McKinsey uses the PSG as its default initial assessment in the interview process.

2. Game structure

Now let's dig into more details about the Problem Solving Game and what you can expect on the assessment. Let's start with an overview.

2.1  Overview

Here is a brief summary of the way the PSG is structured:

• A computer-based assessment
• An experience similar to a video game
• About 70 minutes of total run time
• 2 scenarios
• 2-4 tasks within each scenario

Although the above elements are fairly consistent, the game is actually different for every candidate.

2.2 Different for every player

When you are invited to take the PSG, you will be given a unique link which will allow you to do three things:

• Run a tech diagnostic programme to ensure your computer and network meet the requirements needed to complete the assessment
• Schedule a specific time slot for you to take the assessment
• Take the assessment during your scheduled time slot

Here's where it gets interesting. When you begin the assessment during your scheduled time slot, the system will load a unique version of the game just for you. That means that the iteration of the game that you face will be different than every past or future iteration of the game.

With that said, all versions of the game contain something called "scenarios". 

2.3 Scenarios

The assessment is divided into two primary components: scenarios and tasks. A scenario is the digital world and situation where you find yourself. Each scenario has an over-arching objective and contains several tasks, which are smaller "bite-sized" objectives. When you take the Problem Solving Game, you should expect to face 2 different scenarios .

One is called Ecosystem, and the other Redrock. These are the only two scenarios currently being used. There are other scenarios which you might have heard of (Plant protection, Disaster management, Disease management, Migration management) but these aren't used anymore.

So to summarize, as of writing this article, here is what you need to know about the scenarios:

• Ecosystem creation - Currently used
• Redrock study - Currently used
• Plant protection - Not used anymore
• Disater management - Not used anymore
• Disease management - Not used anymore
• Migration management - Not used anymore

Let's dig deeper into the two scenarios currently being used.

Ecosystem management

The McKinsey Ecosystem game is a crucial part of McKinsey's recruitment process. In this game, candidates are tasked with creating a sustainable ecosystem on an island and selecting an appropriate location for it, all within a strict 35-minute time limit. To succeed, candidates must choose 8 species out of a pool of 13, considering factors such as whether they are producers or animals and their environmental requirements.

The game challenges candidates to create a balanced food chain within the chosen environment, ensuring that each species receives enough calories from its food source. To simplify the process, an Excel Solver tool is available to quickly identify if a selection can lead to a sustainable chain. This tool can be a valuable resource during the game.

Ultimately, the Ecosystem game assesses candidates' ability to make rapid and strategic decisions under pressure, demonstrating their problem-solving skills in creating a sustainable ecosystem.

Redrock study

The Redrock is a new addition to the McKinsey game, introduced in 2022 in the United States and replacing the previous second game, Imbellus – Plant Defense, as of February '23. This change brought a different format to the Problem Solving Game (PSG), focusing more on calculations, especially percentages, similar to the older McKinsey PSTs.

In the Redrock game, players are sent to an island to analyze the population of animals, specifically wolves and elks, and make predictions based on the data. The game consists of four phases: Investigation, Analysis, Report, and Cases, with a total time limit of 35 minutes, including short breaks before each phase.

The Investigation Phase involves gathering information from provided text, graphs, and tables, which can be used in later phases. The Analysis Phase requires answering math questions related to different animal groups, with access to a calculator and the Research Journal. The Report Phase includes both written and visual components, where you answer questions and choose a graph to represent analysis results. Lastly, the Cases Phase, introduced in 2023, involves answering up to 10 unrelated questions, typically taking around 2 minutes each.

Overall, the Redrock game represents a significant shift in the McKinsey recruitment process, focusing on analytical skills and calculations, and it may be challenging for candidates to complete within the time limit.

3. Skills tested

McKinsey is using the Problem Solving Game for a reason. They want to make sure that the candidates they hire, have what it takes to succeed on the job as consultants. 

So, what exactly is McKinsey evaluating when you play the game? You could call them skills, but skills isn't quite the right term to use here.  This abstract describes the areas upon which candidates are assessed during the PSG as "cognitive constructs".

This makes it sound complicated, but you can simply think of these "cognitive constructs" as the areas of your thinking that McKinsey wants to measure. There are 5 of these areas, and we've covered them in more detail below:

3.1 Critical thinking

As you may be aware, consultancies (and other employers) place a high value on their candidates' critical thinking abilities. Just so we're working off of the same definition, here is how Stanford defines critical thinking: "critical thinking is careful goal-directed thinking".

When a consultant begins on a project, they will typically have (or form) a set of objectives that the client wants to accomplish. At the same time, they will likely encounter competing priorities and a combination of relevant and irrelevant data.

The best consultants will have a knack for focusing on objectives, and systematically identifying the most relevant information to form an approach and recommendation. That's why critical thinking is one of the primary areas that McKinsey wants to evaluate with the assessment.

3.2 Decision making

The Problem Solving Game also evaluates your decision making. And one of the elements of the test that distinguishes it from more traditional standardised tests is that it evaluates both your end result and HOW you came to that decision. Whereas a multiple-choice test (like the McKinsey PST) is only capable of assessing candidates based on their end results.

For example, as you progress through a scenario within the Problem Solving Game, you'll gather information, do some analysis, and then take action to implement your approach. During each interaction you have with the game, the software is gathering data. It's measuring details like the amount of time you spend on each task, what information you are looking at onscreen, as well as the actions you ultimately take.

In the real world, McKinsey would rather have candidates who can make decisions strategically, even if they are wrong occasionally, rather than candidates who are good at guessing on standardised tests. Some people can do both, but you get the point.

3.3 Metacognition

Candidates are also evaluated on their metacognition. As described by Nancy Chick of Vanderbilt University , metacognition can be summarised as "thinking about one's thinking". 

You could also characterise metacognition as a person's ability to take a step back and recognise their own understanding and knowledge gaps for a particular topic. 

Having strong metacognition can make a significant difference in a person's ability to learn and adapt to new situations. McKinsey consultants often work on complex projects, and it's important for the firm to hire people that can learn quickly and excel in changing circumstances.

3.4 Situational awareness

When a candidate interacts with the scenarios within the PSG, their  situational awareness  is also put to the test. Situational awareness is a person's ability to understand their environment as well as it's likely future outcomes. To illustrate this point, situational awareness is an important ability for firefighters.

Imagine a home catches on fire and the fire department is called. When they arrive on the scene, the firefighters need to quickly assess the situation and understand key pieces of information (e.g. are any people inside? Where are the nearest fire hydrants? Etc.). At the same time, the firefighters will also understand the likely future outcomes of a particular fire, and they can use this insight to help them prepare their approach for extinguishing the flames.

In a similar way, McKinsey wants to hire candidates who are able to understand the key elements of a new situation, anticipate the likely outcomes, and use their situational awareness to prepare a strategic approach.

3.5 Systems thinking

Finally, the Problem Solving Game is meant to test candidates' systems thinking . Systems thinking is a person's ability to understand and work with the complexities of an interconnected system. To test this ability, the Imbellus test uses the natural world, which provides some excellent examples of complex systems. 

For example, a coral reef is a system with a variety of interdependent parts, including plants, animals, water, the water temperature, and more. If you change one element of the system, it can impact the system as a whole.

Likewise, the clients that McKinsey serves are deeply impacted by systems (e.g. the global economy, data processing, and more). As a result, hiring candidates that can understand and work within a systems-context, will be an advantage for McKinsey.

4. How to prepare

Now let's talk about beating the game. 

First, we want to remind you that every candidate who plays the Problem Solving Game is encountering a completely unique game. You can't memorise a set pattern or sequence that will consistently get you a high score.

Also, remember that the game is measuring HOW you approach the problem and not just your outcomes. So, even if you have good results, if you got there using a strange or illogical approach, that could pull down your overall score.

Due to these factors, you can't prepare for McKinsey's Problem Solving Game in the same way that you would prepare for other tests (like the PST). In fact, according to McKinsey you DON'T even need the following for the Problem Solving Game:

• Any specific preparation
• Experience with video games
• Specific business knowledge

That's what they say, but if you have the opportunity to interview with McKinsey, we know that you'll want to be as prepared as possible! So, we've compiled the below tips, which we recommend you use to get ready for the assessment.

 4.1 Play video games, seriously

Even though no video game experience is required to play the Problem Solving Game, it was designed (at least in part) by game designers. And if you play the right kind of video games, there are elements of the strategy and mechanics that will be similar to what you may encounter on McKinsey's assessment.

We recommend that you specifically play two types of video games to help you prepare: 

• A "world builder" simulation game like SimCity
• A "tower defense" game like Kingdom Rush

To be clear, the graphics and experience of the games above will likely look quite different than what you'll find within the Problem Solving Game. BUT, by playing games like these, you'll pick up helpful strategies and a better understanding of the game mechanics and flow. 

We would also recommend that you practise these video games on the same device that you would use to take the Problem Solving Game (likely your primary laptop or desktop computer). That way you will be replicating the style of play as closely as possible.

The two games we've mentioned above are most closely aligned with the ecosystem creation and plant protection scenarios of the Problem Solving Game that we mentioned in section two of this article.

Similar to the ecosystem creation scenario on the Problem Solving Game, in SimCity you have to build a system (in this case a city) with a variety of interdependent parts. And in both games, you have to achieve a level of balance between different parts of the system. 

Similar to the plant protection scenario on the Problem Solving Game, in Kingdom Rush, you have a variety of elements that you can build to slow or stop invaders. And although the elements that you'll have will be different (e.g. predators vs. archers) the basic strategies involved in most tower defense games are similar.

Now, as you may have already noticed, these games are useful for two of the scenarios we mentioned in section two above. For the other scenarios, we have not found any video game that is clearly relevant. So, for those scenarios, you'll need to rely more on the other preparation steps below.

4.2 Study the known scenarios

As we mentioned previously, there are four publicly known scenarios that have been used on the Problem Solving Game. As a recap, here's what they are:

• Ecosystem creation
• Plant protection
• Disease management
• Disaster management

We'd encourage you to carefully review the information that we've summarised for each scenario in section two of this article. This will help you to start getting comfortable with the situations you'll encounter (note: McKinsey could add new scenarios not listed above).

As you learn the basic details of each scenario, you could also outline potential strategies for each one, as a mental exercise.

For example, in disease management, you'll need to identify the disease you're dealing with, and then take action to contain and treat it. Until you play the PSG, you won't have all the data, but you do know the basic objective of the game. So, make-up a hypothetical disease situation, and then outline a few potential strategies that you could take to help local wildlife.

A mental exercise like this obviously won't match the exact way the Problem Solving Game operates. However, it will get you to start thinking strategically, within the context of the specific scenarios that you will face. This alone will likely make you feel more confident when you take the assessment, and you may find that some of your ideas will come in handy on game day.

4.3 Prepare your workstation

This is a bit more logistical, but it's very important.

The McKinsey Problem Solving Game is somewhat demanding from a hardware perspective. You'll need a computer that runs pretty quickly and has at least 8GB of RAM. If you have an old or slow computer, then we would recommend that you either borrow or purchase a new one prior to taking the test. 

You'll also want to make sure you have a fast and stable internet connection before taking the assessment. If your wifi is spotty, you could try connecting to the internet through a direct ethernet connection. Or, you could ask a friend or relative with a good connection if you can take the assessment at their place.

Prior to taking the test, you will need to run McKinsey's "tech diagnostic" to ensure you have the processing power to run the Problem Solving Game. When McKinsey invites you to take the assessment, they'll send you more details on how to access this tech test. 

As much as possible, you'll also want to carve out a time and space to take the assessment with no distractions. It's important to plan this in advance, and it also helps if you can do your preparation in the same environment.

4.4 Start practicing case interviews

The McKinsey Problem Solving Game is very different than a case interview. However, if you get good at solving case interviews, some of those skills will also be helpful on the Problem Solving Game. 

For example, in the game, you'll need to develop a strategy with incomplete or inconclusive information. You also have to do this when you're solving a case interview. 

This is also a great strategy because it will help you get a head start on your preparation for the case interviews that you'll encounter later in the McKinsey interview process.

After getting some practice on your own, you should find someone who can do a mock interview with you, such as a friend or family member.

We’d also recommend that you do mock interviews with ex-interviewers from McKinsey. This is the best way to replicate the conditions of a real interview, and to get feedback from someone who understands the process extremely well. You may not have the connections to do this on your own, but we’ve made the connections for you. Book your McKinsey mock interview now .

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Comprehensive, fully updated PDF guide to the McKinsey Solve Assessment (also known as the McKinsey Problem Solving Game, PSG, Digital Assessment or Imbellus Game).

Simulator 

Explaining what to expect and suggested strategies to beat the games and including a full discussion of how the assessment works and what concrete steps you can take to prepare. No useless fluff to pump up the page count - we tell you what you need to know efficiently and with special guidance for those preparing in a hurry. 30-day, no-questions-asked money-back guarantee - simply email us and we will refund you in full.

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McKinsey Solve Game: 13 Tips to Ace this Test

• Last Updated May, 2024

If you plan to interview with McKinsey, you will find yourself playing a video game as part of your recruiting process. The McKinsey Solve Game is a “digital gamified assessment” designed to test your problem-solving skills in a fun & intuitive way.

This game goes by different names, including the McKinsey problem solving game and the McKinsey digital assessment. Whatever you call it, you need to know what this game is and how to prepare for it.

In this article, we discuss recent updates to the McKinsey Solve Game and also provide tips from our coaches, who are former MBB recruiters, consultants, and interviewers. We’ll cover:

• An overview of the McKinsey Solve Game
• Detail on the Redrock Study Scenario
• The skills the game measures
• 13 tips on beating the McKinsey Solve Game

Let’s get started!

What Does the McKinsey Solve Game Look Like?

Candidates have 60-70 minutes to play the game on a computer browser (not an iPad or phone). You can play the McKinsey Solve Game in one of 4 languages: English, Spanish, Portuguese, or Japanese.

The assessment begins with this prompt:

“Imagine yourself in a beautiful, serene forest populated by many kinds of wildlife. As you take in the flora and fauna, you learn about an urgent matter demanding your attention.”

The McKinsey Solve Game has 2 primary tests. McKinsey previously had a larger library of tests, but the firm now focuses on these:

• Ecosystem Building Game. Create a stable ecosystem and populate it with plants and animals.
• Redrock Study. An ecological field study including a mini-case and 10 multiple-choice questions at the end of the game.

Working through each of these tests takes you through the life-cycle of a consulting case, from understanding the problem to be solved, to collecting then analyzing data, to making a decision with limited time and imperfect information, and then recommending a solution.

We’ll walk you through each of these tests.

Pro tip! McKinsey continues to evolve the tests in the Solve game. So if the instructions in McKinsey Solve look different, go by those guidelines. These overviews and tips should help you prepare even if the game is updated again.

During the McKinsey Solve Game, you should be flexible, just like a consultant!

Common McKinsey Solve Game Scenarios

Ecosystem building game.

Photo credit: McKinsey & Company

Task: Create a stable ecosystem. It could be marine-based or terrestrial.

You start by choosing a location on the map and then you must select 8 plant and animal species that will best survive in that environment.

• Food chain sustainability: Can all 8 plants and animals find enough food to meet their calorie requirements? You’ll want to be sure that every plant or animal has a food source and understand how many calories each species produces.
• Terrain compatibility: Can the species survive in the environment? An obvious example is that coral can’t survive on land. There are likely a set of plants and animals that are more compatible with the terrain than others. You will need to analyze the species based on the conditions they need to survive (humidity, temperature, and soil acidity for terrestrial environments; temperature, depth, currents, and salinity for marine environments.)

These concepts are pretty straightforward. However, in McKinsey Solve, there will be complex math constraints that will drive you to the optimal answer. You will need to develop a structured framework to organize the list of plant and animal species according to those dimensions.

Here’s how the game works:

• Take a tutorial to learn how to review and organize information. There is no time limit on the tutorial, so be sure you experiment with all the tools and features so you don’t have to waste time in the simulation figuring it out. Take down a few ideas that will help you structure your thinking before you start the simulation.
• Select 8 plant and animal species out of the 20+ provided to place in the ecosystem to form a viable food chain. Match the profiles of the species with the conditions in the location. Also, match the prey each species likes.
• Optimize the chance of the ecosystem’s survival by balancing the food chain and ensuring the ecosystem doesn’t collapse. The calories required by each species (how many it needs to eat) and the calories provided to predator species are given. For instance, you need to ensure your apex predator (such as a bear) doesn’t consume so many calories that it wipes out the smaller creatures from your ecosystem.
• This scenario takes 35 minutes to complete.
• Play the game on one device with another device open to do some quick calculations.
• Take time at the beginning to develop and follow a structured process, creating your food chain from the top down (starting with the apex predator) or the bottom up (starting from plants/fungi/coral). If you are able to build tables and do calculations for each species in Excel rather than doing the math by hand, this could save you time.
• Be hypothesis-driven: choose producers (plants/fungi/coral) with high calories provided and which are eaten by many animal species. Choose small animals/herbivores with low calories needed and high calories provided, when possible.
• Narrow your choice of species down from 20 to 10-12, then run the math to ensure your ecosystem is in balance.
• Once you’ve selected 8 species, use your Excel table to confirm that each species is a good fit in that location, that there is enough food for each species based on the eating rules provided, and that every species has a food source present in the 8 chosen species.

 To win: Identify relevant and irrelevant data quickly. Set up a table and do basic calculations in Excel to make sure the ecosystem is in balance.

McKinsey Solve Game Scenario: RedRock Study

Task: Create an ecological field study investigating wolf packs on an island. The goal is to relocate the pack(s) so they will best balance with the species around them and survive. Study the wolf pack’s hunting behavior and balance it with other species, such as deer.

You will have 35 minutes to complete the Red Rock Scenario, which is broken down into two sections: 

• A Study, that mimics a case interview
• Cases, a series of ten short exercises that leverage the same Red Rock data set but are usually not related to the Study 

There are no specific time constraints within the Red Rock scenario, but it’s recommended to prioritize time on the Study rather than on the Cases. Aim for 20 minutes on the study, 10 minutes on the cases and reserve 5 minutes in case you make a mistake somewhere. 

You read that right! That’s one minute per mini-case. When you take the McKinsey Solve test, you will want to be energized and focused. 

You will be given an untimed tutorial for the Red Rock scenario. Take advantage of this time to learn how the tools work. You will not have time to explore the digital tools during the test. 

First up is the Study which includes three sections:

Investigate and structure the case

You’ll be given an article with past data on the wolf packs. You’ll need to read through a lot of information and drag the most significant data points into a notebook, then use it as a basis for calculations.

Review collected observations and relevant data points. The main things you want to do in this phase are 1) get a clear understanding of the objectives of the case and 2) gather the relevant data you need in a digital journal within the game. There will be a lot of relevant data, but you won’t need all of it to solve the Study. 

Recommended time: 5 minutes. You will not have time to read all the data you receive. So get clear on the objectives and quickly add the information you need to your digital journal. 

Pro Tip 1: As you collect data or information in the digital journal, add meaningful labels to it so it’s easy for you to find the data later in the game. You may want to organize your data so that related points are near each other in the digital journal. 

Pro Tip 2: Only bring over key relevant data into your journal. Your score will be negatively impacted if you just drag everything over. Keep track of random notes offlines on a scratch piece of paper. 

Analyze the Data

You’ll be asked to answer 3 quantitative questions based on your original research objective. Each of these calculations will have sub-questions and you will need to fill in data gaps to get the answer.

The math itself should be fairly straightforward, simple arithmetic, percentages, and fractions. But the context may be complex since there are layers to the math. Be sure to read the questions carefully.

Good news! You’ll get a virtual calculator as well as the option to go back to the article if you need more data.

Be sure to use the digital calculator and not your own calculator or Excel to do these calculations. You’ll need to drag your answers into the digital journal in order to complete the report in the next phase. Additionally, McKinsey Solve tracks your movements and you will get a benefit from recording the math in the calculator.

Recommended time: 10 minutes.

Create a written summery and graphics to help readers visualize what you found in your analysis. 

The written element of the report is not a freehand writing exercise. You will be given prompts and asked to fill in data and some qualitative terms like”faster” or “slower.”

In the graphical phase of the report section, you’ll be asked to select the best format for the graph and input numbers. As a reminder, here are some general guidelines of which types of charts are the best in various situations:

• Pie chart: for comparing parts to a whole
• Line chart: for demonstrating change over time
• Bar chart: for comparing independent variable
• Keep your research objective in mind. That’s your North Star to identify what data is most relevant and how to present your analysis.
• Get comfortable with all the tools during the tutorial.
• Be sure you’re ready to move on from the Investigation phase and that you have all the data you need.
• Leave yourself enough time for the Cases.

McKinsey Solve Cases

After the game, you’ll be asked 10 questions based on the data you received and your calculations. The format will be similar–you’ll be provided information and graphs and you can use the digital journal to pull out relevant information. Each question will either be multiple-choice or fill-in-the-blank with a numerical answer.

There are 4 types of questions:

• Visualization: choose the best graphical format for a set of data
• Word and math problems: read text and solve a quick math problem
• Formula selection: read text and select the appropriate formula to use to answer the questions
• Verbal reasoning: multiple-choice questions to assess if a statement is true or false

Create a written summery and graphics to help readers visualize what you found in your analysis. 

The written element of the report is not a freehand and writing exercise. You will be given prompts and asked to fill in data and some qualitative terms like”faster” or “slower.”

Some examples of Red Rock case questions include choose the best graphic format to visualize specific types of information, or calculate the percentage change in wolf population under hypothetical scenarios. 

The quantitative questions in the cases may also include basic statistics, weighted averages, and basic probabilities. Be sure to refresh yourself on those concepts before you sign in to Solve. During the cases, if you need a calculator, you will be provided one and you should use it. 

You will need to answer the case questions in order and cannot move  back and forth. Plan your time accordingly.

To win: Again, you need to process a lot of data quickly. This is a key skill for consultants. Do basic calculations and present your findings in a clear, concise manner.

McKinsey Solve Game Instructions, Timing, & Preparation

Your performance in the McKinsey Solve game is assessed based on 2 criteria: your product score and your process score.

Product score: This is your success in each of the individual game scenarios. How well did you accomplish the game tasks?

Process score: This is an assessment of your process for achieving that score. Did you come up with a good strategy for addressing the scenario? Did you consistently follow your strategy (rather than making random guesses)? 

McKinsey assesses your strategy by reviewing your mouse movements, keystrokes, and decisions. Be sure to conduct all key analysis in the digital calculator in the simulation so you get “process credit” for your math! Avoid unnecessary movements and guessing within the system. 

For example, while you can move back and forth during the Red Rock study, it will negatively impact your process score for the test. You should try to get all the information you need during the Investigation phase. If you need information to answer a question or complete a report, you should go back for it. Just understand the impact of moving back and forth on your score. 

You’ll find out your results on the McKinsey Solve Game within 2 weeks of taking it. The results will be a simple pass/fail without more detail.

A tutorial is provided before each scenario. The time you spend on the tutorials is not timed, so spend as long as you need to ensure you understand your task and the data provided.

The tutorial suggests how long to spend on each task, but you have the flexibility to manage your own time. Tasks in the 1st scenario typically take longer than tasks in the 2nd scenario, so consider that as you plan your time.

Imbellus, the company McKinsey worked with to create the McKinsey Solve game, says they didn’t design the test to create a time constraint. Some people report having time left over at the end of the 70 minutes. Others feel pressed for time at the end.

McKinsey indicates that no advanced preparation for the test is required. Neither business knowledge nor gaming experience is required. The game provides all the information you need.

Based on how complex the games and tools are, it’s a good idea to do some prep. Whether that’s playing more games or practicing structure and math to make sure you hit the ground running. 

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How 800+ candidates have landed consulting offers at mckinsey, bain and bcg, what does the mckinsey solve game measure.

• Critical thinking : the ability to make thoughtful decisions based on data .
• Decision making : the ability to make the best possible decision with limited time and imperfect information.
• Metacognition : The abi l ity to use strategies such as hypothesis-testing to problem-solve effectively.
• Situational awareness : the ability to perceive what’s going on in a complex environment, what it means, and to make projections.
• Systems thinking : the ability to understand multi-factor cause-and-effect relationships.

McKinsey Solve scores will only be relevant until the case interview phase of the recruitment process. Once you have been invited to interview, they will no longer be relevant.

13 Tips on Excelling at the McKinsey Solve Game

• Understand the 5 cognitive skills being tested (listed above). Solve is not a mindless game. Understanding these skills will help you focus on the right things during the assessment, such as having and following a strategy and keeping track of the big picture.
• Complete the technical check and select a starting window for taking the test as soon as possible. The technical check won’t start the game, and if you have a technical problem, you want to know about it and solve it before taking the test. Also, there’s a limit on the number of people who can play the McKinsey Solve Game simultaneously, and openings can fill up.
• Take time to understand the instructions. The Solve Game is not simple. The amount of data you’ll be given may feel overwhelming. But the 70-minute time limit for the game doesn’t start until after you finish the tutorial , so make sure you understand the instructions before you begin the game. Maximize the tutorial period by attempting to anticipate the mini-game’s objectives and crafting a general approach before starting the game itself.
• Make sure you understand the objectives of each task. You need to plan for how to “win” at each task before you start it to make effective choices. For example, in the ecosystem game, you need to know the eating rules/calorie requirements. 
• Take good notes . Keep track of important information and use the data to make decisions. Use scrap paper or, ideally, an extra computer for notes and to help with computations.
• Prioritize and don’t get lost in the details. There is a lot of data provided in the assessment. Focus on the big picture to ensure you don’t get lost in the details.
• Do the easy math.  Pause early in each game to see if you can figure out the simple equations driving the relationships between variables (e.g., 1 of X resource = 3 of Y resource). Use these equations to guide your decision-making. But don’t spend too long on this. Instead. . .
• Test your ideas and note outcomes. Some questions ask you to assess different strategies. Testing ideas and adapting will help you answer these questions and develop a fact base for making good decisions. Use pen and paper or another device. Limit the key strokes, clicks, and typing on your test device to boost your process score.
• Make decisions with limited or too much information. In some cases, you won’t have every piece of information you’d like or the time to make perfect decisions. Make the best decisions with the time and information you have. In other cases, you’ll be overwhelmed with data and need to sift quickly through to what is important. This reflects trade-offs consultants need to make on the job.
• Don’t replicate the solutions of other test-takers. The McKinsey Solve Game creates unique scenarios for each test taker so that no one can cheat the test.
• Keep track of your time. It is more important to complete all the tasks in the allotted 70 minutes than to do marginally better on the first tasks but not complete the last ones. The first task is meant to take longer than the others, but make sure you know how much time you have remaining so you don’t run out.
• Don’t rush into actions that can’t be undone. People report feeling rushed and making hasty decisions they later regret. Take a moment to think before committing resources or finalizing a strategy.
• Get comfortable with digital strategy games. If you aren’t a gamer, you may want to spend a little time getting acquainted with some games before you take the McKinsey Solve test. All games have logic and once you identify how to win, you can choose the best actions. This may feel foreign at first, but with some reps beforehand, you whould be able to start the game with confidence.

Relax and let yourself absorb the game world, the information provided, and the problem you’re asked to solve.

Links to Additional Resources

You can watch McKinsey’s video for an introduction to the digital assessment .

For more information about the test, read this article .

And if you really want to geek out, there’s this abstract .

Still have questions about the McKinsey Solve Game?

If you have further questions on the McKinsey Problem Solving Game, leave them in the comments below. We’ll have one of  My Consulting Offer’s   coaches provide more information.

Also, let us know if you’re asked to take the digital assessment. We’d love to know what you think of it! 

People who are interested in the McKinsey Solve Game typically find the following other My Consulting Offer pages helpful:

• McKinsey Case Interview
• McKinsey PEI
• Online Consulting Tests: A Roundup
• BCG Pymetrics Test
• Oliver Wyman Online Test

Help with the McKinsey Problem Solving Game

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If you want a step-by-step solution to land more offers from consulting firms, then  grab the free video training series below.  It’s been created by former Bain, BCG, and McKinsey Consultants, Managers and Recruiters.

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A Detailed Guide To The McKinsey Problem Solving Game

Table of contents.

Many candidates applying to McKinsey are focused on sharpening their resumes and practicing case interviews.

However, they forget that there’s another stage of the recruitment process: The McKinsey Problem Solving Game. And because they are unprepared, they don’t make it through to the case interview stage.

So in this article, we will teach you how to ace the McKinsey Problem Solving Game and progress through the recruitment process.

What is the McKinsey Problem Solving Game?

The McKinsey Problem Solving Game (also known as the McKinsey Digital Assessment, McKinsey Solve or the McKinsey Imbellus Test) is a gamified aptitude test that all candidates must take as part of the McKinsey recruitment process. It plays a similar role to the BCG Pymetrics Test .

The game has replaced paper-based aptitude tests and tests your cognitive and higher-order thinking skills in a simulated environment.

Who needs to take it?

The McKinsey Problem Solving Test is a compulsory stage of the recruitment process in most geographies.

Why does McKinsey use it?

McKinsey’s previous aptitude tests were more traditional question-answer style tests.

Because of this, candidates were able to prepare for the tests. They would gather advice from candidates who had already completed the test and practice similar standardized aptitude tests.

The issue for McKinsey was that they couldn’t differentiate a candidate’s preparation from their underlying skill, so they introduced the problem solving games.

What does the game evaluate?

The McKinsey Problem Solving Game evaluates the following abilities:

• Critical thinking: The ability to quickly and accurately synthesize and understand complex information.
• Decision-making: The ability to select the best course of action based on sometimes insufficient information.
• Metacognition: The ability to step back, evaluate the way you’re approaching the problem, and improve your approach.
• Situational awareness: The ability to understand and respond to complex and ever-changing environments.
• Systems thinking: The ability to figure out the underlying patterns and cause-effect relationships of an environment.

Format of the game

The McKinsey Problem Solving Game is designed to look and feel much like a video game.

You will be presented with a number of scenarios that are designed to test the five abilities we discussed earlier. The game will take 70 minutes in total.

Each scenario begins with a tutorial to help you familiarise yourself with the game. There is no time limit, so you should take your time to understand the scenario mechanics.

The McKinsey Problem Solving Game was updated in early 2023 and now only includes two games:

• Ecosystem management : You are required to build a sustainable ecosystem of species. There are animals and plants to be placed in the environment based on various factors like the food chain, terrain, nutrients, etc. You have to pick species and locations in such a way that it leads to the most suitable ecosystem.
• Redrock study : You a required to analyse the species present on an island. You have to make predictions based on evolution patterns and population statistics.

Previously, McKinsey included the plant defense game, disaster management game, disease management game, and migration management game. However, these have all been removed.

Tips for acing the game

Without question, the best way to ace the McKinsey Problem Solving Game is to learn the game logic and practice game simulations before you take the real thing.

The best solution for this is a simulation package like PSG Secrets . It includes video walkthroughs of the scenarios, Excel game solver templates, and simulation games to practice the game ahead of time. It also boasts an 89% success rate and has a 100% money-back guarantee.

In addition, there are other things you can do to increase your chance of success:

• Familiarize yourself with the gamified environment. Watch preview videos that are available online and test out similar games.
• Review the scenario introduction thoroughly. Don’t rush through, as you can take as much time as you need.
• Ensure that you have at least 90 minutes of time that is completely free of distractions. The test takes 70 minutes but you’ll use the extra time to familiarize yourself with everything.
• Learn to be comfortable making decisions with limited information. The game is designed to test your ability to make quick, judgment calls with insufficient data.

How important is the game?

The McKinsey Problem Solving Game is an important part of the recruitment process. However, McKinsey doesn’t make a decision solely from your game results.

Your results will be considered together with the rest of your application, and a decision will be made as to whether you progress to the case interview stage.

Fortunately, McKinsey will provide you with your score and which quartile of benchmarked scores you fall into (e.g. top 25%, 25-50%, etc).

• The 1%: Conquer Your Consulting Case Interview
• Consulting Career Secrets
• Cover Letter & Resume
• McKinsey Solve Game (Imbellus)
• BCG Online Case (+ Pymetrics, Spark Hire)
• Bain Aptitude Tests (SOVA, Pymetrics, HireVue)
• Kearney Recruitment Test
• BCG Cognitive Test Practice
• All-in-One Case Interview Preparation
• Industry Cheat Sheets
• Structuring & Brainstorming
• Data & Chart Interpretation
• Case Math Mastery
• McKinsey Interview Academy
• Brainteasers

McKinsey Solve Game (2024): How to Prepare and Ace the Imbellus

Last Updated on July 8, 2024

The McKinsey Solve Game, previously known as the McKinsey Problem Solving Game, Digital Assessment, or informally as ‘the Imbellus’, serves as a pivotal tool for the renowned consulting firm in evaluating prospective candidates. This assessment is utilized in tandem with the infamous case interviews and personal experience interviews (PEI) .

For those wondering how to prepare for McKinsey’s digital problem-solving game, this article breaks down the key areas to focus on for enhanced performance. In this comprehensive guide, we delve into the nuances of McKinsey Solve Game preparation, providing you with the latest strategies to ace the assessment.

It’s important to mention that we consistently update this article with the latest and most relevant information. Initially published in May 2019, our coverage was a pioneering global insight into the Solve Game, even during its beta testing phase. Our most recent update to this article was in end-June 2024, ensuring you have the most current insights at your fingertips.

History of the McKinsey Imbellus Solve Game

Developed in collaboration with Imbellus and psychologists from UCLA Cresst, the McKinsey Solve Game invites candidates to engage in a series of stimulating scenarios. This immersive experience is a precursor to embarking on a career with McKinsey, demanding a well-thought-out Imbellus Game strategy.

The game challenges players to create sustainable ecosystem simulations within diverse environments such as reefs, mountain ridges, or jungles. Additionally, participants assume the role of a researcher, analyzing animal populations. In an earlier version of the game, your focus was on protecting plant species from invaders in a tower-defense-like game. This immersive experience is a precursor to embarking on a career with McKinsey.

When this game-based assessment was introduced by the world’s leading consulting firms four years ago, it created a significant buzz in the consulting industry for two primary reasons. Firstly, the Solve Game marked a departure from traditional recruitment methods by incorporating an actual computer game. This represented a shift from the conventional Problem Solving Test (PST), a pen-and-paper test designed to gauge candidates’ abilities to solve business problems under time constraints. Secondly, McKinsey’s stance that the game’s nature makes it impervious to specific preparation strategies initially left applicants feeling uncertain about how to best approach the assessment. This was a notable change for applicants accustomed to preparing for weeks or sometimes even months to tackle their case interviews.

Quick reality check…

However, it soon became evident that the consulting firm recruitment game was not impervious to preparation and strategy. McKinsey’s claim was more of a strategic marketing move. Our interviews with some of the first candidates who participated in the initial Imbellus Test in London in November 2019 revealed insightful feedback. This was the first instance where the Solve Game was employed as a formal part of the recruitment process beyond its beta testing phase. These early test-takers made it clear that with a better understanding of the game’s format and the skills it assessed, they could have performed more effectively. Several candidates had even prepared for the PST, not anticipating any changes in the assessment approach. They were informed about the switch to the Solve Game merely a week in advance.

Leveraging this feedback and using their dissatisfaction as a starting point, we collaborated with experts in the field and continued to gather insights from test-takers across various countries. This collective input allowed us to develop effective preparation strategies and gameplay techniques to play the games successfully.

What we found is that – in contrast to McKinsey’s initial messaging – it’s indeed possible to prepare effectively for this assessment. Adopting the right strategies for each game segment can quickly enhance relevant skills, as evidenced by our candidates’ significant performance improvements compared to their peers, thanks to these McKinsey digital assessment tips. Adopting the right strategies for each game segment can quickly enhance relevant skills, as evidenced by our candidates’ significant performance improvements

This article aims to provide a comprehensive guide to mastering the Solve Game. We’ll cover five key areas:

• Understanding McKinsey’s motivation for transitioning from the traditional Problem Solving Test to a gamified assessment, and what this means for you.
• Introducing and examining all six games included in the assessment, along with variations reported by test-takers.
• Clarifying the actual skills assessed, extending beyond the official communications.
• Detailing preparation methods, exercises, and tools to elevate your performance.
• Offering insights into effective test-taking strategies to facilitate Imbellus game skills development and maximize results

For those seeking thorough preparation, we offer a detailed preparation package including (with instant access):

• 161-page Problem Solving Game Guide
• Excel Solver tool for the Ecosystem Game with ecosystem game strategies
• 14 videos that dissect every aspect of the games, including game-winning strategies.
• Complimentary 14-page primer for McKinsey case and PEI interviews
• McKinsey game practice tests

StrategyCase.com was the pioneer in providing detailed analysis of this new assessment type, backed by authentic firsthand information. This has allowed us to continuously refine our insights based on feedback from our extensive customer base. The program has gone through 21 iterations, last updated in July 2024, and incorporates feedback from over 500 test-takers and several game designers.

We launched our original program at the end of November 2019 and have since been updating it regularly to maintain its relevance and accuracy, distinguishing ourselves from others who have merely replicated our content. To date, more than 8500 applicants  from over 70 nations have used the guide to prepare for their Imbellus. 

Our McKinsey Solve Game Preparation Package

Elevate your Solve Game score with the original game guide, a 14-part video course, an Excel Solver tool, and Red Rock practice tests. Trusted by more than 8,500 customers from 70+ countries since November 2019.

Introduction of the McKinsey Solve Game

“Imagine yourself in a beautiful, serene forest populated by many kinds of wildlife. As you take in the flora and fauna, you learn about an urgent matter demanding your attention: the animals are quickly succumbing to an unknown illness. It’s up to you to figure out what to do—and then act quickly to protect what you can.” McKinsey & Company

Sounds exciting? Well,…you be the judge.

As a consultant with McKinsey or any other top-tier consulting firm, you often find yourself in situations where you must save the day. On an abstract level, the game simulates exactly this reality. While your consulting career mostly relates to strategy engagements with Fortune 500 companies, McKinsey chooses the environmental scenarios deliberately. More on that in a second.

Traditionally, the McKinsey way of hiring candidates was through the following funnel:

• Screening: Your consulting resume and cover letter are screened based on a number of filters
• Problem Solving Test: A 60-minute pen-and-paper test, covering 26 business-related questions
• Consulting Interview Round 1 : 2 to 3 business case and personal experience interviews
• Consulting Interview Round 2: another 1 to 3 interviews depending on the region (Rounds 1 and 2 can be on the same day in some offices)

With the introduction of the Problem Solving Game (PSG), the Problem Solving Test (PST) was on its way out.

So, why would McKinsey replace a time-tested screening tool, which has evaluated hundreds of thousands of applicants, with a computer game? The reasons are threefold, reflecting McKinsey’s typical approach:

The answer is quite simple and – as ever so often in the McKinsey world – threefold:

• To  attract new talent  and new types of consultants.
• To have an assessment  tool that is agnostic  (in theory)  of people’s backgrounds .
• To have a lower-cost program (in the long run) to  assess a greater amount of candidates .

The Firm is employing the Solve Game to take into account the changes that every consulting firm faces: Changes in its client base, new types of problems the clients face, and its evolution through organic growth and acquisitions. New problems of clients require a new type of consulting workforce. The typical McKinsey career has changed. Hence, McKinsey is investing heavily in the recruitment of new types of talent, including data scientists, implementation practitioners, IT experts, product and digital designers, as well as software developers in addition to their generalist consulting roles. A digital test is only logical when hiring digital natives.

Above, we teased the environmental abstraction of the game tasks. What is that all about? McKinsey stresses that to perform well in the different games, no prior knowledge and preparation is needed or beneficial (contrary to the PST). The natural context should be easily accessible for every possible candidate, regardless of their background. The PST was geared more towards business majors and quant-heavy degrees, evaluating candidates with a simple pen-and-paper test. With the Solve Game, McKinsey has created a much more complex assessment tool to avoid any biases related to a candidate’s culture, experience, or background. Why this is a fallacy and just introduces new types of biases, a bit further down on this page…

Lastly, McKinsey is receiving several hundred thousand applications every year. Can you imagine going through all of them and dedicating proper resources to every single one of them? No? Right, because neither can McKinsey. High-level screening algorithms decide what consulting cover letter and resume gets screened by a human and even then, many candidates are quickly sorted out. As a result, many potentially talented individuals do not make the cut. The Solve Game attacks this issue from two ends.

Administering the Imbellus Game to one additional candidate comes with almost zero additional cost for the Firm. The assessment can be taken from home (in most cases) and does not block many recruitment resources from the local office. It is part of a streamlined and automated process ( sounds exactly like what a top-tier management consulting firm would do, eh? ). For the PST, on the other hand, candidates had to go to the office to take the test, blocking many resources in the process. Second, with a negligible marginal cost for one additional test-taker, more people can be evaluated and potentially deemed ‘worthy’ of moving on to the interview rounds, even if their resume lacked some important metric that was relevant to the old screening algorithm.

To hit those three points, McKinsey hired Imbellus (which has since been acquired by Roblox ) to develop the different games of the Solve Game, a company that claims to reinvent how we measure human potential. A bold claim.

Does the Solve Game live up to this claim and fill its new role as a screening device for applicants?

If you want to learn more about McKinsey’s rationale for the Solve Game, Fortune spoke with Katy George, McKinsey & Company’s chief people officer, regarding the impact of prevailing labor market trends on the consulting firm’s talent strategy.

The Firm wanted to change its talent recruitment strategy to align with current labor market trends. Shifting its focus from prestigious educational backgrounds to the potential and diverse skill sets of candidates, McKinsey now recruits from a broader range of educational institutions, increasing its outreach from 700 to about 1,500 schools, with plans to expand to 5,000. This approach supports the “paper ceiling” movement, valuing talent over formal qualifications.

To support this move, McKinsey developed the video game ‘Solve’ to attract a wider pool of applicants, including tech talent. This evaluation has reached over 150,000 candidates in the first two years of the game’s introduction, highlighting the game’s role in identifying talent with varied backgrounds, particularly in technology.

The Role of the McKinsey Solve Game

As a candidate, the Solve Game immerses you in several digital, scenario-based assessments, designed to understand and measure how you approach and solve problems, basically putting you in situations that McKinsey consultants face every day. This approach diverts significantly from other well-known testing formats such as the PST or the BCG Online Case , which test problem-solving skills in a business context.

A Digital Case Interview with Twists and Turns

The Imbellus replaces the McKinsey Problem Solving Test (which has been discontinued in several offices such as Germany and Austria years ago due to the bias it introduced –   business majors usually got much higher scores).

While the PST is useful when gathering information about a candidate’s problem-solving skills, it introduces a bias toward candidates who are familiar with business problems. Since it favors business major backgrounds, it is not in line with McKinsey looking to expand its hiring base. Also, the PST does not allow for understanding how the candidates arrived at a solution. The Imbellus Assessment allows McKinsey to get both a product score, evaluating how good your solution is, and a process score, providing insights into your problem-solving prowess and approach.

By changing this part of the recruiting process and introducing an abstracted digital assessment, McKinsey hopes to gauge applicants’ cognitive abilities in a bias-free environment while at the same time collecting way more data points on them.

The Format of McKinsey Solve Game

The Imbellus Solve Game has evolved to a format where candidates engage in two out of six available mini-games within a 70-minute timeframe. This represents a change from previous versions, which allotted up to 81 minutes for gameplay. According to our data and surveys, every candidate since March 2023 has participated in a version of the Ecosystem Creation game and the Red Rock Study game. Notably, since the end of February 2023, the Plant Defense game, previously a consistent element of the assessment, has not been featured.

This setup emphasizes effective time management, as candidates must ensure completion of both games within the allocated time, 35 minutes for each.

In the following sections, we will provide an in-depth analysis of each game, outlining various strategies and techniques to efficiently manage time and maximize performance.

The Scoring of the Solve Game

The essence of the Imbellus test aligns closely with the conventional approach of consulting cases and interviews. It demands the identification of a problem, gathering and analyzing data, making informed decisions under time constraints and with incomplete information, and then crafting actionable recommendations. Essentially, the test is designed to assess problem-solving skills, but it does so in an online format, leveraging sophisticated algorithms.

Data on the test’s efficacy indicates that a candidate’s performance in the Imbellus problem-solving simulation is a reliable predictor of their likelihood to receive an offer following the case interviews. This predictive accuracy is reportedly superior to that of the traditional Problem Solving Test (PST). Further details and specific data on these outcomes will be discussed in subsequent sections.

The McKinsey Solve Game is tailored to evaluate candidates’ skills in scenarios that mimic real-life situations, going beyond what can be inferred from a consulting cover letter or resume. It scrutinizes candidates’ problem-solving approaches, their creativity in tackling tasks, and their overall thought processes. Specifically, the game is designed to assess:

• Problem identification : The ability to accurately discern the core problem that needs resolution.
• Analysis of information : Skill in sourcing and scrutinizing information from diverse channels.
• Strategic solution development : Competence in formulating and methodically testing hypotheses to solve the problem.
• Conclusion and decision making : Aptitude for drawing appropriate conclusions and making informed decisions.
• Adaptability : Agility in responding to evolving situations or changing parameters.
• Quantitative reasoning: With the introduction of the Red Rock game, McKinsey now also evaluates how effectively candidates can comprehend, process, and apply quantitative data in problem-solving scenarios.

To effectively measure these attributes, McKinsey and Imbellus use a dual-scoring system:

• Product Score:  This evaluates the quality of the outcome achieved. Did you complete the game objectives, like creating a sustainable ecosystem, providing the correct outcomes for your analyses, or protecting the plant?
• Process Score:  This score reflects the method and strategy used to achieve the outcome. It tracks every interaction, including over 100 different variables during gameplay. Factors like apparent nervousness or the execution of a logical plan are considered.

The implications of this sophisticated scoring system for new candidates are multifaceted:

For candidates, the McKinsey Solve Game’s scoring system has significant implications. It means that the assessment isn’t just about reaching the correct outcome, but also about how you get there. This dual focus on both product and process offers a more holistic evaluation of a candidate’s abilities.

• Holistic assessment : Candidates are evaluated on their results and the strategies they employ. This approach rewards not only correct outcomes but also thoughtful, strategic processes.
• Behavior under pressure : The game assesses how candidates perform under pressure, including decision-making speed, adaptability, and handling incomplete information.
• Broader accessibility : Since the game is less reliant on specific business knowledge and more on general problem-solving skills, it potentially opens the door for candidates from diverse academic and professional backgrounds.
• Increased stress : The knowledge that every action is being recorded and analyzed might increase stress levels for some candidates, possibly affecting their performance.

You might think that with such an assessment and with a focus on process, it’s harder for candidates to ‘game’ the system by preparing for specific outcomes. Yet, what we found out over time is that the range of potential outcomes for the Ecosystem game and the types of questions for the Red Rock Study game is very narrow. We have developed strategies and step-by-step approaches to navigate this challenge very well.

Overall, the McKinsey Solve Game represents a shift in how candidates are assessed, placing equal importance on the journey and the destination. For candidates, this means preparing for the game requires a focus on developing the right approach and the ability to remain calm and effective under pressure.

Current Roll-out and Scope of the McKinsey Solve Game

It’s all fun and games until your score actually determines your future McKinsey career.

A frequently asked question from candidates is about the necessity of participating in the Solve Game during their application process. The straightforward answer is that in almost all cases, yes, it’s required.

Initially, the game underwent testing with 5,000 candidates across 20 countries between May 2018 and October 2019, alongside the PST. This phase wasn’t about evaluating candidates; rather, it focused on gathering data, beta testing, and fine-tuning the games. Additionally, McKinsey’s active consultants were invited to play in trial runs, contributing further to the data collection.

As of now, McKinsey has globally implemented the Solve Game for a vast majority of applicant types, aiming to evaluate a larger pool of individuals with more refined metrics. Our internal data indicates that the game has been adopted in virtually every country with a McKinsey office. The comprehensive global deployment was finalized during the 2020 recruiting season, with many key markets initiating the rollout from January to June of that year.

Since 2022, the use of the Solve Game has extended beyond office applications. Candidates are also required to complete the game as a prerequisite for certain recruiting events, such as the McKinsey Women’s Leadership Summit.

In terms of the roles it applies to, the game is obligatory for all practice areas, including Generalist Consulting, Operations and Implementation, Research & Analytics, Digital, among others. The only exception, as of now, appears to be Orphoz , a McKinsey subsidiary specializing in transformations, which has not yet incorporated the Imbellus games.

Additionally, it’s noteworthy that senior and professional hires are often exempt from this requirement.

Timing of the Imbellus in the McKinsey Recruiting Process

Upon successful screening of your consulting cover letter and resume, you’ll be sent an email with a link to the Imbellus assessment. You have the flexibility to choose when to take the test, provided it’s within 7 calendar days of receiving the link, for most candidates.

However, in some offices and regions, you might be notified earlier (up to a month in advance) about your deadline for the test. In certain cases, you might even be required to visit the office for the test, which could coincide with your case interviews.

It’s advisable to begin preparing for the Imbellus as early as possible to develop and refine the skills evaluated in the assessment.

Post-Game Process: Waiting for Results

If you take the test remotely, the notification period to learn if you’ve passed and can proceed to the interview stage typically ranges from 1 to 14 days, though this can vary based on the office and the volume of candidates. The longest wait reported by one of our candidates was two months, an outlier, with the average wait time usually under a week. Some offices in Asia recruit continuously but only finalize decisions on Solve Game results on specific dates, potentially extending wait times. If you need a quicker response due to another job offer, contacting HR can often expedite the process.

If the Imbellus is taken in conjunction with the first round of interviews, such as in Germany, your game performance will be evaluated alongside your interview results. Different offices place varying levels of emphasis on the assessment’s outcome. For some, it’s an additional factor in the initial interview round, while for others, it acts as a crucial gateway to the interviews. Some offices may also weigh the Solve Game results in conjunction with your application and documents, where a strong resume or referral could potentially compensate for an average game performance.

Requirements to Pass the McKinsey Solve Game

After completing the McKinsey Solve Game, you can gauge your performance even before the official notification.

How to assess your performance?

• Ecosystem Game : The key is to know whether the ecosystem you created will survive. A quick completion time can be a positive indicator. Creating a sustainable ecosystem in less than 25 minutes generally suggests a good chance of success. Tools like our Excel Solver in combination with the right strategy can assist in predicting ecosystem survival, enabling you to craft a viable solution in under 20 minutes.
• Red Rock Game : While there’s no explicit benchmark for what constitutes a passing score, drawing parallels from the previous Problem Solving Test’s approximate 70% cutoff, a similar threshold might apply.
• Plant Defense Game : A strong performance typically involves surviving at least 15 turns per round, with higher numbers like 25 or 30 being ideal. We delve into the implications of these benchmarks in more detail later.

The pass rate for the Solve Game is expected to be similar to or slightly lower than that of the PST. Unofficial pass rates circulating for the Solve Game suggest that only around 20% of candidates successfully pass. With thorough preparation and a clear strategy, this success rate can be increased to over 80%.

McKinsey has conducted extensive beta testing with a large pool of applicants and internal staff to fine-tune the Imbellus assessment. Over time, as more candidates become familiar with the test and preparation efforts intensify, we see a trend of score inflation due to better-prepared candidates. In response, Imbellus frequently updates and introduces new games to maintain a level of unpredictability and mitigate the effects of overpreparation.

There is a reason why our current preparation package is already version 20 in just 4 years.

The Skills Assessed by the McKinsey Solve Game

The McKinsey Solve Game, while not requiring specific business knowledge like the traditional pen-and-paper assessments, focuses on evaluating similar cognitive abilities and problem-solving skills in a gamified context. To excel in the game, candidates need to:

• Understand the skills tested : Gain a deep understanding of what each game assesses.
• Learn effective preparation methods : Master the right techniques and strategies to win.

The 8 Core Skills Assessed by Imbellus Games

The games aim to create a comprehensive profile of your skills across various domains. Every keystroke and mouse movement is captured and analyzed to evaluate your performance, which is reflected in both a product score and a process score. The assessment goes beyond just the outcomes; it also focuses on the cognitive dynamics behind your decisions, your adaptability to changing scenarios, and your approach to error correction.

To score well, it’s crucial to optimize both scores and understand the diverse factors influencing the outcomes in each game scenario.

The key skills assessed, which are not officially communicated by either McKinsey or Imbellus, include:

• Critical thinking : Ability to form logical judgments from a set of facts both in the qualitative and quantitative realm.
• Decision making : Skill in choosing the most effective course of action from multiple options.
• Meta-cognition : Using strategies to simplify learning and problem-solving (e.g., hypothesis testing, note-taking).
• Situational awareness : Understanding the interrelationships between various factors and predicting scenario outcomes.
• Systems thinking : Grasping cause-and-effect relationships involving multiple factors and feedback loops, including foreseeing multiple layers of consequences.
• Cognition : The capacity to memorize, process, store, and integrate new information with existing knowledge for later retrieval.
• Adaptability : Flexibility in altering actions and strategies to accommodate new situations or changing conditions.
• Creativity : Inventiveness in developing unique solutions, approaches, and ideas for various problems.

The McKinsey Solve Game employs advanced data science techniques to meticulously track and analyze each candidate’s actions, offering a comprehensive assessment of their abilities. This digital format provides a wealth of insights into candidates’ skills, leveraging the vast amount of data collected and calibrated from thousands of applicants over time.

This digital assessment method enables McKinsey to observe candidates’ thought processes in a manner akin to traditional consulting interviews but with greater efficiency and depth. It’s a sophisticated approach that goes beyond just the outcomes, focusing on understanding how candidates think, analyze, and solve problems in real-time scenarios.

Demonstrating Key Skills in the McKinsey Solve Game

Maximizing your performance in the McKinsey Solve Game involves showcasing a range of skills through your actions and decision-making processes within the game. Here’s how you can demonstrate these essential skills:

• Critical thinking : Exhibit your ability to sift through large datasets, discard irrelevant information, analyze crucial data, and synthesize your findings to devise optimal solutions. This should be done systematically and methodically both for qualitative decisions and quantitative problems.
• Decision making : The game analyzes your decision-making process by tracking the time spent in each game menu and section, and how you form recommendations based on this data.
• Metacognition : While not directly trackable, your choice of paths and tools in navigating the game can reveal your metacognitive strategies – how you process and approach the games.
• Situational awareness : Demonstrate your understanding of the game’s elements, objectives, available options, and time constraints.
• Systems thinking : Show your ability to recognize interdependencies within the game’s parameters, such as aligning the food chain characteristics with the appropriate location in the ecosystem game.
• Adaptability : Particularly important in games like the plant defense game, where you need to adjust to changing scenarios and strategies.
• Cognition : Utilize your skills in memorizing, storing, integrating, and retrieving information as needed throughout the game.
• Creativity : McKinsey values innovative approaches. Display your ability to deviate from conventional methods and find unique solutions to the challenges.

To optimize both your product and process scores, it’s also crucial to have a clear understanding of the various games included in the assessment and their specific requirements. This knowledge allows you to tailor your strategies and approaches effectively to each unique scenario, thereby enhancing your overall performance.

Combine your Solve Game preparation with our McKinsey Interview Academy.

The Current Games of the McKinsey Solve Game

The McKinsey Solve Game typically allocates a total of 70 minutes for completion, dividing this time equally with 35 minutes dedicated to each of the two games. This standard timing, however, has not always been the case. In the past, the duration varied among candidates, ranging from 60 to 81 minutes, depending on the specific requirements of the tasks at hand.

An integral part of the McKinsey Solve Game experience is the inclusion of untimed tutorial sessions before each game. These tutorials are invaluable for candidates, as they provide a detailed introduction to the games, explaining their mechanics and objectives. The length of these tutorials is flexible, allowing candidates to take as much time as needed to fully grasp the concepts and strategies required for the games. This flexibility is particularly beneficial for ensuring a comprehensive understanding of the game’s intricacies.

Once the actual timed games commence, candidates need to be aware that these cannot be paused. This aspect of the game adds a layer of complexity, emphasizing the importance of effective time management. Candidates need to be well-prepared and focused from the start, as the non-pausable nature of the games demands continuous engagement and strategic thinking throughout the allotted time. This dynamic is crucial in testing candidates’ ability to efficiently navigate and solve problems under time constraints.

Focus on Environmental Topics with Many Evolutions

The McKinsey Problem Solving Game, known for its focus on environmental themes, has seen a series of evolutions and variations since its introduction. Originally, the game included two distinct scenarios: Ecosystem Creation and Plant Defense. However, feedback starting from August 2020 suggested changes in these scenarios. Some candidates encountered a variation of the Ecosystem Creation along with the Disease identification game, instead of the usual Plant Defense game. It’s important to note that in these cases, the Disease Identification was not used for scoring but rather for future calibration of the Imbellus test.

In 2021, a new scenario focused on Migration Planning was introduced to the game. Yet, by the end of 2022, indications emerged that this scenario had been discontinued. McKinsey’s approach to introducing new games and variations appears strategic and careful. Over the last three years, six different games have been featured in the assessment. However, consistent with McKinsey’s methodology in their consulting interviews, the introduction of new scenarios or variations of existing games is primarily for beta testing and calibration. These new elements are not immediately used to evaluate candidates but to ensure consistency in results and skill assessments over time.

As of March 2023, the two scenarios that candidates face are the Ecosystem Creation and the Red Rock Study Game. Every candidate since then has encountered these games, making them the current standard in the Problem Solving Game.

Watch this space as we always update the article and our preparation package as soon as the next evolution is launched by McKinsey.

Let’s take a deeper look at the different games.

Ecosystem Creation

The Ecosystem game, often referred to as the Ecosystem Building or Ecosystem Creation game, has been a cornerstone of the McKinsey Problem Solving Game. It is the only game that is still part of the Solve Game lineup since the very beginning, albeit with a couple of minor variations.

We’ll explore proven strategies to succeed in the Imbellus Ecosystem Simulation, highlighting how to effectively balance your ecosystem.

In this game, you are placed on an island (either in the reef, the jungle, or on a mountain ridge) and tasked with establishing a sustainable ecosystem in a chosen location. The primary objectives are twofold:

• Create a sustainable chain : You need to select 8 species out of 39 that together form a sustainable ecosystem.
• Find a suitable location : Determine the best location for this ecosystem on a map.

These tasks must be completed within a 35-minute timeframe.

The game begins with a tutorial that is untimed, providing an opportunity to understand the game mechanics.

At the core, the game is an optimization problem. You will be confronted with an overload of different data points (similar to the McKinsey Problem Solving Test, yet not business-related). You match the location to the species as well as the species with each other based on many different characteristics such as calorie need or provision and environmental requirements such as temperature, sun exposure, etc. All requirements need to be fulfilled at the same time to create and sustainable ecosystem and to successfully pass this game.

There are 2 parts:

First, you need to pick 8 species, either animal or plant, to inhabit the mountain, reef, or jungle location. Selecting a suitable, heterogeneous sample for the food chain relationship out of the numerous species is crucial. You need to account for the interaction effects between the species (e.g., coral, aquatic animals, algae, etc. in the reef) and several individual characteristics such as the required environment, place in the food chain, how many calories they need to survive, or how much energy they need, how many calories or energy they provide when consumed, etc.

Second, you need to decide on the location of the ecosystem to create good living conditions for several species. You need to consider several characteristics of the location such as altitude, cloud height, ph-level of the soil, wind speeds, precipitation, etc. for the mountain ridge or depth, temperature, salinity, etc. for the coral reef.

The catch in this game is that you are presented with information overload and need to show proper systems thinking. The food chain must not collapse, and the ecosystem must sustain itself. You will know if you have provided a good answer before submitting it since you can test your hypotheses to see if the ecosystem can actually sustain itself.

In the summer of 2020, McKinsey started to introduce new boundary conditions to make the game more challenging. For instance, you not only need to create the food chain with several levels and match it with a location but also adhere to certain new rules related to the hierarchy of the food chain. This twist adds another dimension you need to consider when drafting your solution.

There are several ways how to approach this scenario, which we worked on with our candidates and created an Excel sheet that helps you solve the eco-system puzzle. Below is a high-level approach you can use when going into the game.

What you need to know when approaching the species selection

• Selecting 8 species : From a set of 39 animals, you must choose 8. These species include 9 producers (like corals and algae) and 30 animals (such as sharks, tuna, etc.). Producers consume natural resources and do not require calories, while animals consume other organisms and require calories for survival.
• Environmental conditions : Species are divided into three environmental ranges, each with specific environmental characteristics like depth and temperature. For instance, depth may be categorized into ranges such as 11-15m, 16-21m, and 22-27m.
• Distribution of species : In each environmental range, you’ll find 3 producers and 10 animals. Your final ecosystem should consist of species all from the same range.

Having this key insight into the food chain mechanics in the McKinsey Ecosystem Game can be a significant advantage. As this information isn’t explicitly communicated by McKinsey, most candidates would typically need to deduce these details during the game, consuming valuable time within the 35-minute limit. However, being aware of this beforehand allows you to approach the game with a more informed strategy.

• Start with producers : Knowing the calorie dynamics, you can begin by selecting a set of producers that not only share the same location characteristics but also provide the right amount of calories for enough animals. This understanding narrows down your options significantly, reducing the initial choice of 39 animals to a more manageable 10.
• Focus on the right producers : Identifying the correct set of producers is crucial, as they form the foundation of your food chain. Choosing the right producers simplifies the subsequent steps in creating a sustainable ecosystem.

In our McKinsey Solve Game Guide , we delve deeper into these strategies, offering a step-by-step approach to solve the Ecosystem Creation game efficiently – in less than 20 minutes. Our guide is designed to streamline your process, ensuring you can focus on building a viable ecosystem without getting bogged down by the multitude of options.

We also provide an Excel Solver tool as part of the guide. This tool is immensely helpful in assessing the sustainability of your ecosystem. It aids in determining whether the food chain you’ve created can sustain itself, saving you the trial-and-error time during the game. Additionally, the Excel Solver can suggest instantly which set of producers is most likely to support a survivable food chain, further enhancing your ability to make quick and effective decisions in the game.

The game intricately simulates a natural food chain, requiring you to strategically link species as either food sources or predators to create a sustainable ecosystem. Here’s a breakdown of how this works and how you can effectively create a sustainable chain:

1. Species interactions:

Each species in the game has relationships with others – as either a predator or a food source. For instance, a Blue Jay might be preyed upon by a Shark, while it feeds on Yellow Fish.

2. Caloric dynamics:

Every species is assigned specific caloric values: calories provided and calories needed. These caloric values are crucial in determining which species from the available 13 you should select to form your final ecosystem of 8. The moment you select your 3 producers, you are only left with choosing 5 animals out of 10. A much easier task than before.

3. Eating rules and algorithm to test your sustainability:

The game outlines essential rules about the feeding mechanism. The key rules include:

• The species with the highest ‘calories provided’ value eats first.
• It consumes the species offering the highest caloric value as a food source. In the case of ties, it splits its consumption 50/50.
• Consumption reduces the ‘calories provided’ by the prey by the amount of ‘calories needed’ by the predator. A species needs non-zero ‘calories provided’ to survive, and all its ‘calories needed’ should be zero after feeding.
• After the first species feeds, the next one with the highest ‘calories provided’ follows suit, and the process repeats.

4. Ensuring chain sustainability:

It’s crucial to ensure each animal receives adequate calories from its food source and that no species depletes its ‘calories provided’ to zero. If a species either doesn’t receive enough calories or depletes its own, the chain becomes unsustainable, leading to failure in the game.

To quickly and efficiently establish a sustainable chain, you must:

• Carefully analyze caloric values : Assess the ‘calories provided’ and ‘calories needed’ for each species to determine the feeding order and the sustainability of the chain.
• Ensure continuity : Verify that every animal in your chain is connected and that there’s continuity in the food chain.
• Balance the ecosystem : Maintain a balance where no species runs out of calories while ensuring each one’s dietary needs are met.

By following these steps and paying close attention to the caloric requirements and relationships between species as well as the eating rules algorithm about who eats first, second, third, etc., you can successfully create a sustainable food chain within way less than the allotted time in the McKinsey Ecosystem Game.

Once you have successfully identified the 8 species for your ecosystem, the next critical step is to choose an appropriate location for this ecosystem on the island.

What you need to know when approaching the location selection

How to Approach the Location Selection:

• Navigating the map : The game presents you with a map where you can use your cursor to explore different potential locations for your ecosystem.
• Analyzing location conditions : Each location on the map comes with seven different environmental conditions. However, not all of these conditions are relevant to your task. Your focus should be on the variables that you identified as important in the previous step while choosing your species, usually just 2 to 4 variables.
• Identifying relevant variables : Recall the parameters you noted earlier for each species. These are the variables you need to match in the location selection process.
• Utilizing the interface for matching : As you hover your cursor over different locations on the map, you can refer to the top-right menu on your screen. This menu displays the environmental variables at the current cursor position. You need to check if they are all within the required range for your selected species. If you approach this effectively, you can do this in less than 1 minute.

By methodically checking these variables and finding a location that aligns with the environmental requirements of your 8 species, you can complete this task efficiently. Proper selection of species in the first task significantly simplifies this process, allowing you to quickly identify a suitable location without getting distracted by irrelevant data.

This streamlined approach helps ensure that your ecosystem is not only sustainable in terms of species interdependence but also well-suited to the chosen location’s environmental conditions.

Red Rock Study Simulation

The Red Rock Study game has become a staple in the McKinsey Solve Game lineup, replacing the Plant Defense game for all candidates since March 2023. This game marks a shift towards a more conventional analysis and problem-solving context, reminiscent of the approach used in older BCG Online Cases. Despite the game casting you in the role of a researcher, the tasks closely resemble those undertaken by a typical consultant. The game is designed to assess abilities like information processing, data collection, mathematical calculations (involving growth rates, averages, and percentages), and the interpretation of exhibits.

The game is divided into two main sections, the Study Section and the Case Section, each with distinct tasks and objectives, and you have a total of 35 minutes to navigate through them.

The Study Section

The Study Section consists of a three-step process:

Investigation Stage : Here, you are presented with an objective for your research, accompanied by data in various formats such as text, tables, and charts. Your primary task in this stage is to identify and gather insightful, relevant data, which you then record in your on-screen research journal.

• Objective and data collection : You start by receiving text, graphs, and tables, along with a specific objective for your research. Your task is to sift through this information.
• Selective data gathering : Key information can be dragged and dropped into your Research Journal, located on the right-hand side of the screen. It’s important to discern which data is relevant and avoid unnecessary information.
• Preparation for analysis : Once you’ve collected all the relevant information, you proceed to the Analysis phase.

Analysis Stage : This stage involves answering three mathematical questions related to your research objective. You have access to an on-screen calculator for computations, but the main challenge lies in developing the correct approach and filtering the right data. There’s flexibility to move back and forth between the Investigation and Analysis stages, allowing you to retrieve any additional information you might need.

• Mathematical questions : This phase presents 3 to 5 math questions, usually pertaining to different groups of animals.
• Using tools : An embedded calculator is provided for calculations. The tricky part is setting up the right calculations and equations. You’ll also refer back to the data collected in your Research Journal to answer these questions.
• Drag-and-drop feature: Also here, you need to drag and drop information to create your calculations and move your answers around.

Report Stage : The final stage requires you to synthesize your findings by filling in the blanks of a report and presenting them effectively. This latter involves summarizing your research and choosing an appropriate chart to visually represent your supporting data.

• Combination of Written and Visual Tasks : This phase includes a written section and a visual representation task.
• Written part : Answer questions based on your findings from the Analysis phase by filling in the blanks of a report text.
• Visual part : Select and create a graph to effectively represent your analysis results.

After completing the Report, you transition to the final section of the Red Rock Study game, known as the Cases Phase.

The Case Section

In March 2023, McKinsey introduced a significant update to the Red Rock Study assessment, adding a new mini-case component. This new section includes 6 to 10 quantitative reasoning questions, each associated with the context of the study segment, yet distinct in terms of data and information.

The introduction of the mini-case has notably increased the assessment’s complexity. Candidates now face the dual challenge of completing both the study part and the case questions within a consolidated time frame of 35 minutes. This is a marked change from the previous format, where the time limit was solely allocated to the study segment. The recommended approach is to divide the time equally between the two parts, emphasizing efficient time management.

The quantitative reasoning questions in the mini case require strong quantitative and analytical skills. Candidates must swiftly interpret information presented in various charts and textual sources, perform calculations accurately, and derive correct answers. The added time pressure necessitates not only quick thinking but also precision in analysis and calculations.

Given these heightened demands, thorough preparation and practice become even more crucial. Familiarizing oneself with quick data interpretation and ways to set up calculations under time constraints is highly advantageous. Such preparation mirrors the real-world demands of consulting, where professionals are often required to process complex information rapidly and make informed decisions under pressure.

We cover this game and 6 practice tests in more detail in our McKinsey Solve Game Guide .

Each phase of the Red Rock game is designed to mimic real-world consulting tasks, testing your ability to process information, perform quantitative analysis, and present findings coherently. The game challenges you to filter through data, apply mathematical concepts, and communicate results clearly, skills that are essential in a consulting environment. By understanding the structure and requirements of each phase, you can better prepare and strategically navigate through this component of the McKinsey Solve Game.

The Red Rock game, with its business-like analysis and structured approach to problem-solving, tests a range of skills that are directly applicable to the world of consulting. It challenges candidates to not only understand and interpret data but also to apply it effectively in a simulated research context. The game’s emphasis on analytical thinking, data interpretation, and effective communication of findings mirrors the skills required for a successful career in consulting.

The integration of the Red Rock Study game into the McKinsey Solve Game lineup signifies a notable shift in McKinsey’s approach to candidate assessment. This change not only diverges from McKinsey’s previous game-based assessment strategies but also aligns more closely with the types of evaluations commonly used by other consulting firms.

In that sense, it is much more a problem-solving test rather than a game.

The demand for information for this game was so big, that we dedicated a full-length article to it here.

Creating a Strategy for the Red Rock

Developing an effective strategy for the Red Rock Study game is essential to successfully navigate its complexities. We have crafted a four-step approach to optimize your performance in the game:

1. Understanding the Objective (Investigation Stage)

• Interpretation is key : Begin by carefully reading and interpreting the objective of the game. Understanding what is expected of you is crucial in setting the right direction for your investigation.
• Clarity of goals : Ensure you have a clear grasp of what the game is asking you to accomplish. This understanding will guide your decisions and actions throughout the different stages of the game.

2. Identifying Relevant Data (Investigation Stage)

• Data selection : Amidst the plethora of information provided, focus on identifying and prioritizing data that is directly relevant to the game’s objective.
• Efficient data gathering : Aim to distinguish between essential information and potential distractors. Collecting the right data in your Research Journal will streamline your analysis process.

3. Conducting the Analysis (Analysis Stage)

• Strategic analysis : Set up and execute your analysis and calculations. This step involves applying the data you’ve gathered to solve the problems posed in the game.
• Accuracy in calculations : Use the provided tools, such as the on-screen calculator, efficiently to ensure your calculations are accurate and relevant to the task at hand.

4. Visualizing the Findings (Report Stage)

• Effective presentation : Once your analysis is complete, the next step is to report your findings and visualize your data effectively in the Report Stage.
• Choosing the right format : Select a graph or chart that best represents your findings, making sure it aligns with the narrative of your analysis.

By following these steps, you can create a focused approach to the Red Rock Study game. This strategy helps in navigating the game’s challenges methodically, ensuring that each stage is tackled with precision and clarity. Preparation, practice, and a clear understanding of each stage’s requirements are key to mastering this McKinsey assessment.

For the Red Rock Case Section (and the Study section actually as well), developing a strong proficiency in quantitative reasoning is crucial. This part of the assessment requires you to not only understand and analyze numerical data but also to set up and solve equations swiftly and effectively.

Enhancing Quantitative Reasoning Skills for the Red Rock

• Practice with quantitative questions : Regularly engage with various types of quantitative reasoning questions. This practice will help you become familiar with different question formats and data interpretation challenges.
• Efficient equation setup : Focus on setting up equations quickly. This skill is crucial for solving the mathematical problems presented in the game efficiently. Read up on percentages, growth rates, averages – the 3 most common operations found in the game,
• Speed and accuracy : Balance speed with accuracy. It’s essential to work through questions rapidly, but not at the expense of making careless errors. If you get stuck on one question for too long, move on!
• Utilize tools effectively : Make the most of the on-screen calculator provided in the game. Familiarize yourself with its functionality to enhance your efficiency during the test.
• Analytical thinking : Develop your ability to think analytically, particularly in interpreting charts, graphs, and tables, and in drawing conclusions from complex sets of data.
• Mock tests and timed practice : Engage in timed practice sessions. These simulate the pressure of the actual test and help improve your time management skills.

By honing these skills, you can approach the Red Rock Case Section with greater confidence, speed, and accuracy.

The skills that are needed in this game are much closer to an actual case interview and we would recommend that you also take a look at our articles on

• Case Interview Math
• Case Interview Exhibit Interpretation

Be aware that the game is still relatively new and we have seen many iterative changes to new games in the past. As a result, be prepared to encounter minor variations or adaptations when you face the Red Rock simulation.

The Ocean Cleanup Game

In June 2024, McKinsey is beta testing a new game titled “ Ocean Cleanup ” or “Ocean Treatment.” This new addition challenges players to think critically and strategically while addressing the pressing issue of ocean plastic cleanup. In this article, we delve into the unique features of the McKinsey Ocean Cleanup game, examining its structure, user experiences, and potential impact on future assessments.

The McKinsey Ocean Cleanup game is designed to be a 20-minute test where candidates select between 20 different microbes, each with distinct characteristics such as heat resistance, photosensitivity, pH levels, color, and reactivity. The primary objective is to create bond chains using these microbes to effectively clean plastic from designated ocean areas. This game involves a two-phase process for each of two ocean areas: first, selecting 10 microbes that match the specific parameters and characteristics of the area, and then narrowing these down to 3 microbes that form the most balanced and effective cleaning solution. This structure not only tests analytical and strategic thinking but also emphasizes the importance of environmental sustainability.

Early testers of the McKinsey Ocean Cleanup game reported mixed experiences. Many were surprised by the unexpected addition of the game after completing the familiar Ecosystem and Red Rock tests. The initial shock required a quick mental adjustment, emphasizing the need for adaptability. The learning curve was steep, with users citing challenges in understanding the instructions and navigating the interface. However, once they overcame these initial hurdles, many found the game enjoyable and engaging, often more so than the Ecosystem game. This positive feedback, despite the early difficulties, suggests that with refined instructions and a better interface, the Ocean Cleanup game has the potential to become a popular component of the McKinsey PSG.

For those encountering the McKinsey Ocean Cleanup game, staying calm and composed is crucial. Focus on one task at a time to avoid feeling overwhelmed. Thoroughly read and understand the instructions, and take notes on key points. Providing honest and detailed feedback is essential during the beta testing phase, as it helps McKinsey refine the game for future use. Remember, while the Ocean Cleanup game is being tested, it is not yet used for evaluation purposes, so continue to prioritize the Ecosystem and Red Rock games.

We have adjusted our guide to include strategies for the Ocean Treatment Game. For more information, see here .

The Former Games of the McKinsey Solve Game

If you are pressed for time, you can skip this section. If anything changes in the Solve Game lineup, we will adjust this article and our preparation package accordingly.

Plant Defense

In this scenario, which was active until March 2023, you need to defend a plant species from invaders using several tools at your disposal in a static, round-based tower defense-style game. The tools consist of barriers that slow down invaders and predators that damage and eradicate them.

In this game, which, for the majority of candidates, is a bit more challenging than the first, you need to defend a plant at the center of a map from an invasive species for as long as possible. This scenario is broken down into 3 rounds. Each round lasts between 8 to 12 minutes, presenting a slight variation of the game with increasing complexity and an increase in the map size. For each round, invaders spawn in several turns per map.

Each round is divided into two parts.

In the first part, you can actively manage your defense strategy in order to react to new invaders that spawn every 3 to 5 turns. You can manage 15 turns by initially placing your defense units on the map, adjusting their positioning after every turn, and selecting new defense units every 5 turns.

Your goal is to have the plants survive each of these increasingly difficult turns. You can slow the invaders down so that they do not arrive at your plant within the number of turns or eliminate them fully before they do so.

In the second part, the endgame, you are no longer able to change your strategy and the placement of your defense units. The game fast-forwards until your plant is defeated. Depending on the quality of your last placement strategy it might take the invaders many turns to kill the plant, ideally more than 30.

Your goal is to optimize for the plant to survive as many turns as possible. Your product score is the direct result of the turns survived, while your process score focuses on how well you adjust to the changing behaviors of attackers and how much you can learn and adapt over the course of the turns and over the course of the 3 rounds.

In order to do this, you need to choose certain animals that eat the invasive species and natural barriers/ terrain to slow them down and block them, in a static and turn-based environment, contrary to most other tower defense games that are dynamic.

You are presented with information about what each tool such as animals or geographical/terrain barriers can do, e.g., how many invasive species an animal can kill in a given time or how much a forest can slow the invaders down. These animals have different stats in terms of their reach/sphere of influence (shown as squares) as well as the damage that they are able to inflict on the invaders.

For instance, there could be a dog and an eagle as animals. The eagle has a large radius and inflicts less damage whereas the dog has high damage but a smaller range of effectiveness (e.g., one square only). Some animals have a large radius and high damage (usually during the last game). The damage inflicted might also differ depending on the type of invader. The barriers are elements such as mountains, rocks, and forests. Mountains block invaders and make them change their pathway toward the plant (ideally make the pathway longer). Rocks and forests slow invaders down (different effectiveness for different invaders)

The invaders will start attacking the plants once they reach it in the middle and the game ends.

While initially, you will be able to kill the invaders, they will show up in greater numbers in each consecutive wave and it is possible that you will be defeated. This is not, per se, a bad thing since it will die eventually in the fast-forward mode of the game. Keep the plant alive for as long as possible.

The aim is to defend the plant in the center for as long as possible, hence, to kill all invaders before they reach the plant. It is very important to make use of both defending animals and barriers to unlock their synergistic effects and keep the invaders as long as possible in the sphere of influence of the animals.

Use the untimed tutorial to think about the most effective combinations and layouts of the tools before starting the game. Prepare using video games in the tower defense niche to train yourself for this scenario. The key in this game is to show adaptability by being able to learn quickly and improve your strategies and reactions with each turn and with each game.

Creating a strategy

Let’s again break down your approach into several steps.

• Familiarize yourself with the map
• Create your initial strategy
• Focus on new invaders first
• Secure the plant from future attacks
• Adjust your strategy as the game evolves

We discuss each step, variation, and successful start-to-finish strategy in full in our McKinsey Solve Game Guide , which has been co-created with the help of tower defense game designers, who developed games for iOS and Android.

Disease Identification

It seems that McKinsey reintroduced a game briefly that was already present in the beta testing stages of the PSG, with a slight variation. It replaced the tower defense game for roughly 5% of the candidates over the course of late 2020 and early 2021. By June 2021, it appears that the game never really made it out of the testing stage and we have not heard about any reappearance in 2022. Nonetheless, let’s look into them since we cannot guarantee that they won’t come back in one form or another.

As a player, you are tasked with  identifying which animals on the map will be infected by a given disease . The nature of the disease is not important. What is important is to identify patterns of the disease and ultimately identify which animals would be infected in the next turn.

The game has many animals on the map. There are also three time periods, which they call Time 1, Time 2, and Time 3. In Time 1, a small subset of animals is already infected. When you click on Time 2, that same map will show which additional animals got infected. Your goal is to identify which animals will get infected in Time 3. The approach to this game is relatively simple:

• Figure out what the key variables are that could give a hint about the disease progression.
• Create an array of different filters and look at them through different points in time to see the changes in the animal population.
• Move to time 3 and select the next animals that will be affected by the disease based on your tested hypotheses from step 2 (e.g., if you know that all animals above 6 years are affected by the disease and in time 3 there are 20 new animals that are above 6 years of age, select them)

Contrary to the old version which was used in beta tests before the game was actually launched, you do not need to provide a remedy or a treatment plan.

Disaster Identification

Another game has not made a new appearance since 2021. In this game, candidates had to figure out the nature of a natural disaster impacting an animal population and then place the animals on another area of the map so that the most number of animals survive. The mechanics are similar to the ecosystem game.

In this game, you can display three things, a map, species, and a list of events. You can tackle the game in 4 steps:

• Identify what event has happened in an area (a natural disaster such as a tornado or a flood) by combining information from an event description with variables on the screen.
• Identify dominant ranges to move the animals to an area that is best suited for their survival.
• Select the location by clicking on it and check for the relevant ranges you identified before. Prioritize characteristics that allow for the greatest number of animals to survive.
• Sanity check your selection in a similar manner as for the ecosystem game.

Migration Planning

A new game was briefly tested in 2022. We call it the Migration Planning game.

Your task is to plan the migration of 30 to 50 animals from a starting position to an endpoint on a map by selecting the best route out of several alternatives.

You have to solve up to 15 different scenarios within 35 to 40 minutes. Each scenario consists of 3 to 5 turns that have you decide on the next step of your route. In turn 1 you select the first step on your route, in turn, 2, the second leg, and so on until you reach the desired endpoint.

You start with a given number of animals and a specific set of resources (consumables such as food or water). With each turn of the game, a predetermined number of animals will die, and resources will be reduced by a specific amount, depending on your selected route. Alternatively, you can also select intermediate points on your route that will replenish and multiply existing resources as well as collect additional animals along the way.

The objective of the game is two-fold: First, you need to ensure that the highest number of animals survive until you reach the destination. Second, you need to arrive at the endpoint with some of the resources preserved as well. As said before, there are up to 15 different scenarios with 3 to 5 turns each, which leads to 45 to 75 unique decisions you must make along the way.

Organize the migration of 30 to 50 animals from one spot to the next by managing resources and animals from start to finish in 3 to 5 turns. Select the most optimal route to preserve resources and animals along the way and pass 15 rounds in total.

Map the routes on a piece of paper or in an Excel sheet.

• Write down each available route
• Calculate the outcome variables for resources and animals for every route
• Select the route where most animals survive and resource requirements are met

We provide you with a specific table and approach that you can use to create your strategy for each route in our McKinsey Solve Game Guide .

Preparing for the McKinsey Solve Game

Addressing the critical question: Is it beneficial to prepare for the Imbellus test, despite official advisories suggesting otherwise? The answer is a resounding yes.

Why preparation is crucial:

• Significant impact on outcomes : Our data indicates that preparation can dramatically increase your chances of success, from a 20% to an 80% success rate. This is even more pronounced than with the old PST, as the games in the Imbellus are more predictable than a traditional pen-and-paper test.
• Consequences of failure : Failing the Imbellus test results in a 2-year ban from reapplying to McKinsey (1 year for internships). Post-ban, you must demonstrate substantial improvements in your consulting cover letter and resume .
• Learnable skills : While McKinsey suggests that the games can’t be prepared for, Imbellus emphasizes that their games assess higher-order thinking skills, which are typically acquired through education, training, and experience.
• Gaming experience matters : Familiarity with computer games and digital environments can provide an advantage in a video game-based assessment. This introduces a different kind of bias in candidate evaluation, which can be mitigated by employing effective strategies.

Understanding the games and their objectives is key to effective preparation. Knowing what each game assesses, and the skills it targets, allows you to focus your preparation on enhancing those specific abilities. Additionally, familiarizing yourself with the gaming environment and practicing similar types of games can improve your comfort level and performance during the assessment.

While McKinsey advises candidates that preparation for the Imbellus game is neither necessary nor feasible, our extensive feedback collection from over 500 candidates we talked to suggests otherwise. In fact, thorough preparation can significantly enhance performance in the game’s various scenarios.

To aid candidates, we have meticulously analyzed the test, consulted with game design experts, and applied science-backed methods to develop a comprehensive guide detailing the game’s mechanics. Here are some overarching strategies to lay the groundwork for your preparation:

Imbellus Game Practice

Train the key skills that are being assessed  by Imbellus. Playing logic games, mobile games, and tower defense games with similar themes can be beneficial to training these areas specifically. While these games will differ somewhat in their user interface, objectives, and mechanics they still train your skills, make you think about potential strategies, and just get you in the habit of interacting with a gamified environment. If you have sufficient time before taking the Imbellus, try out some of the games below to practice the Imbellus gameplay.

Games for the Ecosystem and Migration Planning

• Plague Inc. – if you have limited time, focus on this game
• Cities: Skylines

Games for the Plant Defense

• Tower Duel – if you have limited time, focus on this game
• Kingdom Rush
• Plants vs. Zombies

Preparation for the Red Rock

Focusing on quantitative reasoning tests is an excellent way to prepare for the McKinsey Solve Game, particularly for the Red Rock Study section. Here are some effective ways to enhance your quantitative reasoning skills:

• GMAT Quantitative Reasoning : The quantitative reasoning sections of the GMAT are a great resource to start with. They offer a wide range of problems that can improve your ability to analyze data, perform calculations, and make logical deductions under time constraints.
• Red Rock Practice Tests : We have developed specialized practice tests specifically designed to mirror the challenges you will face in the Red Rock Study game. These tests are tailored to give you a realistic experience of what to expect during the actual game.
• Additional Quantitative Reasoning Resources : For those seeking more extensive practice in quantitative reasoning, we provide a comprehensive question bank in our Bain SOVA Guide . This bank contains hundreds of questions similar to those you might encounter in the game.
• Case Math Mastery Package : This package is another valuable resource that focuses on developing your case math skills. It is particularly useful for candidates who want to strengthen their ability to handle numerical data and complex calculations efficiently.

By incorporating these resources into your preparation plan, you can significantly improve your quantitative reasoning abilities. This will not only aid you in the Red Rock Study game but also enhance your overall problem-solving skills, which are crucial for a successful case interview performance.

General Preparation Advice

Enhancing your performance in the McKinsey Imbellus Game involves more than just playing similar games. It requires a multifaceted approach that focuses on developing key skills and strategies.

Approach each decision methodically and develop a plan for tackling each decision. A step-by-step decision-making process helps in making more deliberate and thoughtful choices, increasing the likelihood of selecting the most effective solution.

• Identify the decision : Clearly define what you need to decide. Understand the primary goal and any additional objectives.
• Gather information : Collect relevant information needed for the decision. Identify the best sources and methods for acquiring this data.
• Identify alternatives : As you gather information, recognize various possible courses of action.
• Weigh the evidence : Consider the potential outcomes of each alternative based on the information you have.
• Choose among alternatives : Select the option that seems best after weighing all the evidence.
• Review your decision : Reflect on the decision’s outcome and assess if it addressed your initial goal.

Learn to take proper notes and document your observations about each scenario’s mechanics. Using tools like Excel templates can help structure your thoughts and find solutions more efficiently.

Develop skills in structuring, analyzing, and synthesizing complex issues. Combine logical thinking with creativity to formulate effective recommendations.

Adopt a hypothesis-driven mindset. Start each game with one or more hypotheses, then test and refine them as you progress. This approach helps in focusing your analysis and quickly deriving recommendations.

Visualize processes and relationships. Practice creating quick sketches to visualize situations, processes, and relationships. This skill is particularly useful in unfamiliar scenarios and helps in breaking down complex issues.

Practice estimations and setting up equations. Engage in exercises that improve your quick math skills. These are essential in all games, from calculating calorie budgets in the ecosystem game to determining damage points and optimal routes in others. Become familiar again with basic equations, ratios, growth rates, and averages.

Test-taking Tips and Advice

To excel in the McKinsey Imbellus Game and enhance your test performance, consider the following insights into McKinsey’s innovative recruitment game. These guidelines are designed to help you navigate the unique challenges of the game effectively:

Avoid replicating solutions : Each test taker encounters unique scenarios and numbers in the Imbellus game. The games are set in ecological contexts, making them accessible to all backgrounds, but with thousands of possible variations, no two experiences are identical. Focus on your strategy and process rather than trying to replicate specific results.

Make decisions with incomplete information and practice 80/20 decision-making : Often, you won’t have time to reach the perfect answer in the ecosystem game. Aim for a good answer that demonstrates a sound problem-solving strategy and fulfills the objectives. Avoid getting lost in excessive details and consider writing down various outcomes to test your ideas.

Read instructions thoroughly and understand the tasks : Overcoming challenges in the McKinsey Solve Game requires a deep understanding of the game’s objectives. With the increasing variety of game scenarios, it’s crucial to read and comprehend all instructions. A missed detail can make your approach invalid. Ensure clarity on your objectives before proceeding.

Ensure a stable test environment and check your setup : If taking the test from home, ensure a reliable internet connection and a fully charged computer. Some candidates have reported high CPU usage; consider using a more powerful system if needed. Remember, you can always contact the 24/7 Imbellus service center for any issues during the test.

Monitor time closely and manage it well : The complexity and depth of the games can make it easy to lose track of time. Keep a close eye on the time, aiming to allocate the right amount of time for each step of the way (e.g., 15 minutes for the ecosystem species and 2 minutes). The progress bar will help you monitor the remaining time. Have pre-determined time goals that you execute if they are met (e.g., only taking 2 minutes to think about a quantitative reasoning question in the Red Rock).

Elevate Your Score with Our Comprehensive Preparation Package

Preparing for McKinsey’s recruitment game: Tips and strategies included in this comprehensive guide to mastering the Imbellus game are designed to give applicants a competitive edge. Unlock your potential to ace the Imbellus game with our comprehensive Solve Game preparation package. It comes with

• a 161-page guidebook with best practices for McKinsey digital assessment preparation and all games (current focus: Ecosystem, Red Rock, Ocean Cleanup)
• an Excel Solver for the Ecosystem Creation
• a 14-part video series
• 6 Red Rock full-length practice tests
• a McKinsey case interview and PEI interview primer

The package gives you the definite edge in your preparation and test-taking, detailing winning strategies for the Ecosystem in less than 20 minutes and ample practice opportunities for the Red Rock Game. Gain immediate access to PDFs, Excel tools, templates, and video content, ensuring you’re up-to-date with McKinsey’s evolving assessment criteria.

Since November 2019, we’ve led with first-hand information, starting with interviews with early test-takers and experts. Our ongoing customer interviews have built a vast database, aiding over 8500 candidates in 70+ countries. We regularly update our guide, offering you the latest insights. On top of that, our team, comprised of ex-McKinsey consultants and interviewers, brings deep insights into McKinsey’s evaluation criteria, surpassing the generic advice found elsewhere.

Six pillars of our strategy:

• Understanding McKinsey’s criteria : As former McKinsey consultants and interviewers, we grasp what McKinsey seeks in their next-gen consultants.
• In-depth scenario analysis : Learn the nuances of user interfaces and gameplay mechanics.
• Skill development : We cover the core skills with actionable advice and practice resources.
• Effective test strategies and shortcuts : Benefit from proven strategies and tools, derived from successful candidate experiences, meticulously refined over 4 years.
• Efficient preparation hacks : Accelerate your readiness with our targeted tips and techniques.
• Low-cost and accessibility: We are a small team and sell directly to consumers without an intermediary. Hence, we can offer this product at a much lower price than every competitor.

Additional benefits:

• Exclusive support : Join our McKinsey applicants’ inner circle for 24-hour support on all consulting interview questions. Get access to the world’s leading McKinsey interview coach, who has helped generate almost 200 McKinsey offers for coaching clients in 3 years.
• Regular updates : Stay ahead with our constant updates and a free 1-year access guarantee.
• Free McKinsey interview primer : Get a 14-page primer with essential case and PEI preparation tips.
• FREE BONUS: A 10% discount on the Solve Game Simulation by MConsultingPrep.

Our credentials:

• Extensive reach : Assisted 8500+ students from 70+ countries over the last 4 years.
• Rich experience : Built on 500+ test-taker interviews, expert inputs, and McKinsey know-how, 100% proprietary information
• Comprehensive materials : Includes a 161-page guide, automated Excel Solver, 14 concise videos to get you up to speed quickly, and 6 full-length Red Rock practice tests.

Currently, the package leads to an 87% success rate with our clients ( based on customer feedback from Nov 23 – Jan 24 )

Latest update: July 2024 (includes the new Red Rock Simulation variation and 6 practice tests)

McKinsey Solve Game Guide (Imbellus) 21st Edition

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McKinsey Solve Game FAQ

Navigating the McKinsey Solve Game can be a challenging part of your journey towards joining a top-tier consulting firm. To help demystify the process and enhance your preparation, we’ve compiled a list of frequently asked questions. Whether you’re wondering about the skills assessed or looking for the best preparation resources, you’ll find the answers here.

What specific skills does the McKinsey Solve Game assess?

• The game evaluates problem identification, strategic solution development, decision-making under pressure, adaptability, and quantitative reasoning.

Can you really prepare for the McKinsey digital assessment, and how?

• Yes, preparation is possible and beneficial. Focusing on having the right tools at your disposal such as an Excel Solver, playing similar simulation games, and developing a strategic approach to problem-solving and quantitative questions can enhance your readiness.

What are the key strategies for succeeding in the ecosystem simulation?

• Success involves understanding ecosystem balance, prioritizing tasks, managing time effectively, and applying logic to predict the outcomes of different actions.

Are there any official practice tests available for the Imbellus Game?

• McKinsey does not provide official practice tests, but various online resources and guidebooks offer simulations and strategies that mimic the game scenarios.

How does the Imbellus Game differ from traditional consulting firm recruitment tests?

• Unlike traditional pen-and-paper tests or computer-based case assessments that focus on business scenarios, the Imbellus Game uses gamified simulations to assess a wider range of problem-solving and strategic thinking skills in diverse contexts.

What resources are recommended for McKinsey Solve Game preparation?

• Comprehensive guidebooks and videos, strategic game-playing, online forums for candidate experiences, and practicing with games that require similar skill sets are highly recommended.

How important is game familiarity in succeeding in McKinsey’s digital assessment?

• Familiarity with the game’s format and the types of challenges presented can significantly improve performance by reducing the learning curve and anxiety during the actual assessment.

Can playing similar digital games improve my performance in the Solve Game?

• Yes, engaging in similar strategy and simulation games can enhance relevant skills such as critical thinking, strategic planning, and decision-making under time constraints.

What is the most challenging aspect of the McKinsey Solve Game, according to past participants?

• Many participants find the time pressure and the requirement to make strategic decisions with incomplete information to be the most challenging aspects.

How does McKinsey use the Solve Game results in the recruitment process?

• The results are used alongside resume screenings to provide a holistic view of a candidate’s problem-solving abilities and potential as a consultant, influencing the decision on whether to proceed with the candidate.

We value your feedback and experiences with the McKinsey Solve Game! If you have additional questions, insights, or tips that weren’t covered in this article, please share them in the comments section below.

15 Responses

Hello, thank you for this introduction. I would like to ask about one thing. In the ecosystem… From all 8 species – they have to survive? Or they can be eaten by predators? I understand how to create the food chain, but still…if you create a food chain and the species do not replicate, they will be eaten by predators…

Dear Lenka, All species in the food chain (animals and plants) need to survive. The sum of the calories provided by a species – the sum of calories needed for the predator species should always be positive. Cheers, Florian

hi Florian,

I only have 3 hours before the PSG is due, is it possible or useful to buy the guide given such a short time limit? Thank you

Dear Angelina, 3 hours would be enough to read through the strategy section, watch the videos and familiarize yourself with the Excel. While not ideal and we receommend more time to practice, it would still make sense. Cheers, Florian

[…] using digital badges to recognise learning and, for example, the consultant company McKinsey uses a game during its recruitment process,” adds Nikoletta-Zampeta […]

Hello Florian Daniel or Colleague, I am very pleasantly surprised to see this guide that you have masterfully complied. Having tips from insiders is such a confidence boost! I purchased this pack without hesitation and am hoping to try it out before investing in the comprehensive 6h coaching program. Nonetheless, I wonder if you can email me back by helping me with downloading the actual guide? I encountered a technical issue whereby I completed my payment on my phone, but it became impossible to download it via my laptop. I am very worried as the deadline of the test is approaching so could you please get back to me asap?

Many Thanks Aspiring Consultant

I have just sent you your documents, which also contain access to the video program.

Please let me know if I can assist further.

Kind regards, Florian

Hi, how long would you suggest I prepare for the McKinsey digital assessment test after purchasing the digital assessment guide? 2 weeks? 4 weeks?

Hi Emmanuel,

We have candidates that prepare between 2 days and 1 month. The shorter your preparation time, the more your focus should be on learning the proven strategies we outline in our guide (so that you can implement them properly on the game day) and go through and practice the most effective and important tools we provide you with to quickly raise your skill levels.

Obviously, when you have more time on your hands, you can prepare in a much more relaxed way and go deeper with all our exercises and tools. Generally, I would say that 2 weeks is the sweet spot we have seen with our candidates and it is rare for them to fail after they have gone through all exercises and tools, practiced the preparation tips, and have our game-plan and strategies internalized over this time period.

4 weeks would give you enough time to prepare without a rush, and in parallel to the case interview practice. In any case, should something change in the game between your purchase and the testing date, we will send you a new version of the guide and the videos free of charge!

Let me know if you have any further questions!

All the best for your preparation and your application.

I heard that there are also other games that could be part of the PSG like predicting and preventing an environmental disaster. Are you sure that there are ‘only’ the 2 two games you describe?

Hi Luiz, we talk briefly about these potential other scenarios in our Problem Solving Game Guide. Be aware that they were used during the trial stages in 2018/19 only and none of our more than 700 customers has reported on them pro-actively. From the 80+ customers we interviewed since November 2019, all went solely through the ecosystem game and the tower defense-like game. In the ecosystem game, recent candidates report having done the mountain ridge scenario and not the reef (even though this has no impact on the actual gameplay).

Hi, how do I know if I passed the ecosystem simulation task?

Hi Patricia, on an aggregate level the game looks at both your product score (did you produce a good outcome?) and your process score (did you perform well under stress while working towards the outcome?).

In order to pass the ecosystem simulation, ideally, you reach the threshold McKinsey set for both scores (which is unknown). For the product score, you should be able to test your hypotheses during the game and see if your food chain is actually sustainable and works out. However, for the process score, you can only take a guess. McKinsey and Imbellus record every movement of your mouse, every click, as well as how long you pause, go back and forth in the menus, etc. In short, the more you have worked in a calm and collected manner towards selecting your food chain, the higher the chances to reach a solid process score.

Hi, I have one question, Is McKinsey problem-solving game material included in Mc Kinsey program?

Hi Federico, do you mean the Video Academy or the Interview coaching?

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Florian spent 5 years with McKinsey as a senior consultant. He is an experienced consulting interviewer and problem-solving coach, having interviewed 100s of candidates in real and mock interviews. He started StrategyCase.com to make top-tier consulting firms more accessible for top talent, using tailored and up-to-date know-how about their recruiting. He ranks as the most successful consulting case and fit interview coach, generating more than 500 offers with MBB, tier-2 firms, Big 4 consulting divisions, in-house consultancies, and boutique firms through direct coaching of his clients over the last 3.5 years. His books “The 1%: Conquer Your Consulting Case Interview” and “Consulting Career Secrets” are available via Amazon.

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