qualitative research in marketing examples

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Greenbook’s Chief Revenue Officer

Qualitative Research

June 28, 2024

8 Examples of Qualitative Research

Unveil the depth of human behavior with qualitative research. Dive into narratives and interpretations to find hidden meanings in market research and UX design.

by Ashley Shedlock

Content Coordinator at Greenbook

Qualitative research offers deep insights into human behavior by delving into individual perspectives, societal dynamics, and cultural influences. It emphasizes narratives and subjective interpretations to unveil hidden meanings. Real-world examples in fields like market research and UX design demonstrate how qualitative research uncovers consumer behaviors and user experiences, driving innovative solutions and informed decision-making through the richness of human interactions.

What is Qualitative Research? 

Qualitative research is a methodology used to gain an in-depth understanding of human behavior and the reasons that govern such behavior. It focuses on exploring and interpreting phenomena in their natural settings, aiming to uncover the meaning individuals attribute to their experiences. Qualitative research encompasses a variety of methods such as interviews, observations, case studies, and focus groups, allowing researchers to delve deep into the complexities of human interactions and perceptions. 

By emphasizing subjective experiences and perspectives, qualitative research adds richness and depth to our understanding of social phenomena. It is a valuable tool for uncovering nuances, exploring diverse viewpoints, and capturing the essence of complex human behavior that quantitative methods often overlook.

Qualitative Research Methods vs Quantitative Research Methods

When contrasting qualitative and quantitative research methods, it is crucial to recognize the unique approaches they employ in examining phenomena. Qualitative research methods involve delving into the depth and intricacies of human experiences, beliefs, and behaviors.

In contrast to quantitative research's focus on numerical data and statistical analysis, qualitative research delves into the intricacies of human narratives and perspectives. Qualitative research methods encompass various approaches such as interviews, focus groups, observations, and content analysis.

In qualitative research, researchers immerse themselves in the study's context to gain a comprehensive understanding of the subject matter. This approach allows for flexibility and adaptability, enabling researchers to uncover unexpected insights and meanings. For example, conducting in-depth interviews can unveil personal narratives and emotions that quantitative data may not capture alone.

Ethnographic research is another qualitative method where researchers observe and engage in the daily lives of the subjects. This approach provides insights into cultural practices, social interactions, and the contextual factors influencing behaviors. By immersing themselves in the research environment, researchers unveil valuable insights contributing to a broader understanding of the subject.

Thematic analysis, a qualitative research method, involves identifying patterns and themes within qualitative data. Researchers scrutinize textual or visual data to unveil recurring topics or ideas, facilitating the development of meaningful interpretations. This method aids in organizing and deriving sense from the vast qualitative data amassed during a study.

In contrast to quantitative research methods that quantify relationships and outcomes, qualitative methods emphasize exploring meanings, interpretations, and subjective experiences. By integrating various qualitative research methods, researchers can attain a holistic understanding of complex phenomena that transcends mere numerical representations.

While qualitative research methods may not yield universally applicable results like quantitative methods, they offer a profound exploration of the human experience. Embracing the complexities of qualitative research enables researchers to unearth valuable insights and deepen our understanding of the world.

Types of Qualitative Research

1. Interviews: One common type of qualitative research is conducting interviews. Researchers engage with participants in open-ended conversations to gather in-depth insights into their experiences, opinions, and perspectives. These interviews can be structured, semi-structured, or unstructured, allowing for a flexible approach to data collection.

2. Observations: Another key example of qualitative research is observations. Researchers directly observe subjects in their natural environment to understand behavior, interactions, and social dynamics. This method allows for the study of non-verbal cues, environmental influences, and group dynamics that may not be captured through other means.

3. Focus Groups: Qualitative research often utilizes focus groups to gather data from multiple participants simultaneously. In these group discussions, participants are encouraged to express their thoughts, feelings, and attitudes on a specific topic. The dynamic interaction among group members can yield rich insights and uncover collective beliefs or norms.

4. Case Studies: Case studies involve an in-depth analysis of a particular individual, group, or event. Researchers delve deeply into the case to explore nuances, contexts, and unique circumstances. By examining specific instances in detail, researchers can uncover rich, detailed insights that contribute to a broader understanding of the topic under study.

5. Content Analysis: Researchers may also employ content analysis as a qualitative research method. This involves systematically analyzing text, audio, video, or visual content to identify patterns, themes, and meanings. Through content analysis, a qualitative researcher can uncover underlying messages, cultural representations, and discourses present in the materials being studied.

6. Narrative Research: Narrative research focuses on the stories and personal accounts of individuals to understand their lived experiences. By analyzing narratives shared by participants, researchers can uncover themes, emotions, and perspectives that reveal deeper insights into human behavior and social phenomena.

7. Ethnographic Research: Ethnographic research involves immersing researchers in the culture or community being studied. Researchers spend extended periods observing and interacting with participants to gain a holistic understanding of their behaviors, practices, and beliefs. This immersive approach allows for a nuanced exploration of social contexts and cultural nuances.

8. Action Research: In action research, researchers actively engage with participants to bring about positive change or address real-world problems. This collaborative approach combines research and practical action, allowing for the co-creation of knowledge and the implementation of solutions based on research findings.

Each type of qualitative research offers a unique perspective and methodology for understanding complex human experiences and social phenomena. By employing a combination of these methods, researchers can gain comprehensive insight that enriches our understanding of the world around us.

Data Collection Techniques in Qualitative Research 

Qualitative research utilizes interviews to gain detailed participant insight. Observations capture behaviors in natural settings, revealing hidden dynamics and influences. Focus groups facilitate group discussions to reveal shared beliefs and differences. Document analysis extracts insights from various materials, offering historical and cultural context. 

Each method contributes uniquely to data collection: interviews provide personal accounts, observations offer direct insights, focus groups foster discussions, and document analysis adds historical perspective. Researchers should maintain clear communication, ethical standards, and rigorous data analysis. Examples include interviews uncovering patient experiences, observations revealing classroom dynamics, focus groups identifying consumer preferences, and document analysis unveiling social trends.

When to Use Qualitative Research Methods

Qualitative research methods are best utilized when you aim to delve deep into understanding complex phenomena that cannot be quantified easily. These methods are particularly valuable when exploring people's emotions, behaviors, motivations, and experiences, providing rich, nuanced insights that quantitative data alone cannot capture. By employing qualitative research, you can uncover underlying reasons behind certain trends or patterns, shedding light on the 'why' rather than just the 'what' of a particular situation or behavior.

One of the key advantages of qualitative research methods is their flexibility and adaptability to different research settings. Whether conducting in-depth interviews, focus groups, or observational studies, these methods allow researchers to immerse themselves in the context under study, gaining a holistic understanding of the subject matter. This hands-on approach enables the researcher to gather detailed, in-depth information that can offer unique perspectives and unveil unexpected insights.

Qualitative research methods excel in exploring sensitive topics or marginalized voices, giving a platform for individuals to share their experiences and perspectives in a supportive and non-threatening environment. This can be particularly valuable in areas such as social sciences, psychology, anthropology, and market research, where understanding human behavior and social dynamics is paramount.

Qualitative research provides a qualitative researcher with a powerful toolkit to explore the intricacies of human experiences, behaviors, and interactions. By embracing the richness of qualitative data, researchers can generate meaningful narratives, valuable insights, and actionable recommendations that contribute significantly to advancing knowledge and understanding in various fields of study.

Comments are moderated to ensure respect towards the author and to prevent spam or self-promotion. Your comment may be edited, rejected, or approved based on these criteria. By commenting, you accept these terms and take responsibility for your contributions.

Evrim Tanis

July 4, 2024

This is a very detailed and beautiful article about qualitative research. Congratulations; you also combined research and technology.

Ashley Shedlock

14 articles

The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.

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83 Qualitative Research Questions & Examples

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Qualitative research questions help you understand consumer sentiment. They’re strategically designed to show organizations how and why people feel the way they do about a brand, product, or service. It looks beyond the numbers and is one of the most telling types of market research a company can do.

The UK Data Service describes this perfectly, saying, “The value of qualitative research is that it gives a voice to the lived experience .”

Read on to see seven use cases and 83 qualitative research questions, with the added bonus of examples that show how to get similar insights faster with Similarweb Research Intelligence.

What is a qualitative research question?

A qualitative research question explores a topic in-depth, aiming to better understand the subject through interviews, observations, and other non-numerical data. Qualitative research questions are open-ended, helping to uncover a target audience’s opinions, beliefs, and motivations.

How to choose qualitative research questions?

Choosing the right qualitative research questions can be incremental to the success of your research and the findings you uncover. Here’s my six-step process for choosing the best qualitative research questions.

• Start by understanding the purpose of your research. What do you want to learn? What outcome are you hoping to achieve?
• Consider who you are researching. What are their experiences, attitudes, and beliefs? How can you best capture these in your research questions ?
• Keep your questions open-ended . Qualitative research questions should not be too narrow or too broad. Aim to ask specific questions to provide meaningful answers but broad enough to allow for exploration.
• Balance your research questions. You don’t want all of your questions to be the same type. Aim to mix up your questions to get a variety of answers.
• Ensure your research questions are ethical and free from bias. Always have a second (and third) person check for unconscious bias.
• Consider the language you use. Your questions should be written in a way that is clear and easy to understand. Avoid using jargon , acronyms, or overly technical language.

Types of qualitative research questions

For a question to be considered qualitative, it usually needs to be open-ended. However, as I’ll explain, there can sometimes be a slight cross-over between quantitative and qualitative research questions.

Open-ended questions

These allow for a wide range of responses and can be formatted with multiple-choice answers or a free-text box to collect additional details. The next two types of qualitative questions are considered open questions, but each has its own style and purpose.

• Probing questions are used to delve deeper into a respondent’s thoughts, such as “Can you tell me more about why you feel that way?”
• Comparative questions ask people to compare two or more items, such as “Which product do you prefer and why?” These qualitative questions are highly useful for understanding brand awareness , competitive analysis , and more.

Closed-ended questions

These ask respondents to choose from a predetermined set of responses, such as “On a scale of 1-5, how satisfied are you with the new product?” While they’re traditionally quantitative, adding a free text box that asks for extra comments into why a specific rating was chosen will provide qualitative insights alongside their respective quantitative research question responses.

• Ranking questions get people to rank items in order of preference, such as “Please rank these products in terms of quality.” They’re advantageous in many scenarios, like product development, competitive analysis, and brand awareness.
• Likert scale questions ask people to rate items on a scale, such as “On a scale of 1-5, how satisfied are you with the new product?” Ideal for placement on websites and emails to gather quick, snappy feedback.

Qualitative research question examples

There are many applications of qualitative research and lots of ways you can put your findings to work for the success of your business. Here’s a summary of the most common use cases for qualitative questions and examples to ask.

Qualitative questions for identifying customer needs and motivations

These types of questions help you find out why customers choose products or services and what they are looking for when making a purchase.

• What factors do you consider when deciding to buy a product?
• What would make you choose one product or service over another?
• What are the most important elements of a product that you would buy?
• What features do you look for when purchasing a product?
• What qualities do you look for in a company’s products?
• Do you prefer localized or global brands when making a purchase?
• How do you determine the value of a product?
• What do you think is the most important factor when choosing a product?
• How do you decide if a product or service is worth the money?
• Do you have any specific expectations when purchasing a product?
• Do you prefer to purchase products or services online or in person?
• What kind of customer service do you expect when buying a product?
• How do you decide when it is time to switch to a different product?
• Where do you research products before you decide to buy?
• What do you think is the most important customer value when making a purchase?

Qualitative research questions to enhance customer experience

Use these questions to reveal insights into how customers interact with a company’s products or services and how those experiences can be improved.

• What aspects of our product or service do customers find most valuable?
• How do customers perceive our customer service?
• What factors are most important to customers when purchasing?
• What do customers think of our brand?
• What do customers think of our current marketing efforts?
• How do customers feel about the features and benefits of our product?
• How do customers feel about the price of our product or service?
• How could we improve the customer experience?
• What do customers think of our website or app?
• What do customers think of our customer support?
• What could we do to make our product or service easier to use?
• What do customers think of our competitors?
• What is your preferred way to access our site?
• How do customers feel about our delivery/shipping times?
• What do customers think of our loyalty programs?

Qualitative research question example for customer experience

• ‍♀️ Question: What is your preferred way to access our site?
• Insight sought: How mobile-dominant are consumers? Should you invest more in mobile optimization or mobile marketing?
• Challenges with traditional qualitative research methods: While using this type of question is ideal if you have a large database to survey when placed on a site or sent to a limited customer list, it only gives you a point-in-time perspective from a limited group of people.
• A new approach: You can get better, broader insights quicker with Similarweb Digital Research Intelligence. To fully inform your research, you need to know preferences at the industry or market level.
• ⏰ Time to insight: 30 seconds
• ✅ How it’s done: Similarweb offers multiple ways to answer this question without going through a lengthy qualitative research process. 

First, I’m going to do a website market analysis of the banking credit and lending market in the finance sector to get a clearer picture of industry benchmarks.

Here, I can view device preferences across any industry or market instantly. It shows me the device distribution for any country across any period. This clearly answers the question of how mobile dominate my target audience is , with 59.79% opting to access site via a desktop vs. 40.21% via mobile

I then use the trends section to show me the exact split between mobile and web traffic for each key player in my space. Let’s say I’m about to embark on a competitive campaign that targets customers of Chase and Bank of America ; I can see both their audiences are highly desktop dominant compared with others in their space .

Qualitative question examples for developing new products or services

Research questions like this can help you understand customer pain points and give you insights to develop products that meet those needs.

• What is the primary reason you would choose to purchase a product from our company?
• How do you currently use products or services that are similar to ours?
• Is there anything that could be improved with products currently on the market?
• What features would you like to see added to our products?
• How do you prefer to contact a customer service team?
• What do you think sets our company apart from our competitors?
• What other product or service offerings would like to see us offer?
• What type of information would help you make decisions about buying a product?
• What type of advertising methods are most effective in getting your attention?
• What is the biggest deterrent to purchasing products from us?

Qualitative research question example for service development

• ‍♀️ Question: What type of advertising methods are most effective in getting your attention?
• Insight sought: The marketing channels and/or content that performs best with a target audience .
• Challenges with traditional qualitative research methods: When using qualitative research surveys to answer questions like this, the sample size is limited, and bias could be at play.
• A better approach: The most authentic insights come from viewing real actions and results that take place in the digital world. No questions or answers are needed to uncover this intel, and the information you seek is readily available in less than a minute.
• ⏰ Time to insight: 5 minutes
• ✅ How it’s done: There are a few ways to approach this. You can either take an industry-wide perspective or hone in on specific competitors to unpack their individual successes. Here, I’ll quickly show a snapshot with a whole market perspective.

Using the market analysis element of Similarweb Digital Intelligence, I select my industry or market, which I’ve kept as banking and credit. A quick click into marketing channels shows me which channels drive the highest traffic in my market. Taking direct traffic out of the equation, for now, I can see that referrals and organic traffic are the two highest-performing channels in this market.

Similarweb allows me to view the specific referral partners and pages across these channels. 

Looking closely at referrals in this market, I’ve chosen chase.com and its five closest rivals . I select referrals in the channel traffic element of marketing channels. I see that Capital One is a clear winner, gaining almost 25 million visits due to referral partnerships.

Next, I get to see exactly who is referring traffic to Capital One and the total traffic share for each referrer. I can see the growth as a percentage and how that has changed, along with an engagement score that rates the average engagement level of that audience segment. This is particularly useful when deciding on which new referral partnerships to pursue.  

Once I’ve identified the channels and campaigns that yield the best results, I can then use Similarweb to dive into the various ad creatives and content that have the greatest impact.

These ads are just a few of those listed in the creatives section from my competitive website analysis of Capital One. You can filter this list by the specific campaign, publishers, and ad networks to view those that matter to you most. You can also discover video ad creatives in the same place too.

In just five minutes ⏰ 

• I’ve captured audience loyalty statistics across my market
• Spotted the most competitive players
• Identified the marketing channels my audience is most responsive to
• I know which content and campaigns are driving the highest traffic volume
• I’ve created a target list for new referral partners and have been able to prioritize this based on results and engagement figures from my rivals
• I can see the types of creatives that my target audience is responding to, giving me ideas for ways to generate effective copy for future campaigns

Qualitative questions to determine pricing strategies

Companies need to make sure pricing stays relevant and competitive. Use these questions to determine customer perceptions on pricing and develop pricing strategies to maximize profits and reduce churn.

• How do you feel about our pricing structure?
• How does our pricing compare to other similar products?
• What value do you feel you get from our pricing?
• How could we make our pricing more attractive?
• What would be an ideal price for our product?
• Which features of our product that you would like to see priced differently?
• What discounts or deals would you like to see us offer?
• How do you feel about the amount you have to pay for our product?

Get Faster Answers to Qualitative Research Questions with Similarweb Today

Qualitative research question example for determining pricing strategies

• ‍♀️ Question: What discounts or deals would you like to see us offer?
• Insight sought: The promotions or campaigns that resonate with your target audience.
• Challenges with traditional qualitative research methods: Consumers don’t always recall the types of ads or campaigns they respond to. Over time, their needs and habits change. Your sample size is limited to those you ask, leaving a huge pool of unknowns at play.
• A better approach: While qualitative insights are good to know, you get the most accurate picture of the highest-performing promotion and campaigns by looking at data collected directly from the web. These analytics are real-world, real-time, and based on the collective actions of many, instead of the limited survey group you approach. By getting a complete picture across an entire market, your decisions are better informed and more aligned with current market trends and behaviors.
• ✅ How it’s done: Similarweb’s Popular Pages feature shows the content, products, campaigns, and pages with the highest growth for any website. So, if you’re trying to unpack the successes of others in your space and find out what content resonates with a target audience, there’s a far quicker way to get answers to these questions with Similarweb.

Here, I’m using Capital One as an example site. I can see trending pages on their site showing the largest increase in page views. Other filters include campaign, best-performing, and new–each of which shows you page URLs, share of traffic, and growth as a percentage. This page is particularly useful for staying on top of trending topics , campaigns, and new content being pushed out in a market by key competitors.

Qualitative research questions for product development teams

It’s vital to stay in touch with changing consumer needs. These questions can also be used for new product or service development, but this time, it’s from the perspective of a product manager or development team. 

• What are customers’ primary needs and wants for this product?
• What do customers think of our current product offerings?
• What is the most important feature or benefit of our product?
• How can we improve our product to meet customers’ needs better?
• What do customers like or dislike about our competitors’ products?
• What do customers look for when deciding between our product and a competitor’s?
• How have customer needs and wants for this product changed over time?
• What motivates customers to purchase this product?
• What is the most important thing customers want from this product?
• What features or benefits are most important when selecting a product?
• What do customers perceive to be our product’s pros and cons?
• What would make customers switch from a competitor’s product to ours?
• How do customers perceive our product in comparison to similar products?
• What do customers think of our pricing and value proposition?
• What do customers think of our product’s design, usability, and aesthetics?

Qualitative questions examples to understand customer segments

Market segmentation seeks to create groups of consumers with shared characteristics. Use these questions to learn more about different customer segments and how to target them with tailored messaging.

• What motivates customers to make a purchase?
• How do customers perceive our brand in comparison to our competitors?
• How do customers feel about our product quality?
• How do customers define quality in our products?
• What factors influence customers’ purchasing decisions ?
• What are the most important aspects of customer service?
• What do customers think of our customer service?
• What do customers think of our pricing?
• How do customers rate our product offerings?
• How do customers prefer to make purchases (online, in-store, etc.)?

Qualitative research question example for understanding customer segments

• ‍♀️ Question: Which social media channels are you most active on?
• Insight sought: Formulate a social media strategy . Specifically, the social media channels most likely to succeed with a target audience.
• Challenges with traditional qualitative research methods: Qualitative research question responses are limited to those you ask, giving you a limited sample size. Questions like this are usually at risk of some bias, and this may not be reflective of real-world actions.
• A better approach: Get a complete picture of social media preferences for an entire market or specific audience belonging to rival firms. Insights are available in real-time, and are based on the actions of many, not a select group of participants. Data is readily available, easy to understand, and expandable at a moment’s notice.
• ✅ How it’s done: Using Similarweb’s website analysis feature, you can get a clear breakdown of social media stats for your audience using the marketing channels element. It shows the percentage of visits from each channel to your site, respective growth, and specific referral pages by each platform. All data is expandable, meaning you can select any platform, period, and region to drill down and get more accurate intel, instantly.

This example shows me Bank of America’s social media distribution, with YouTube , Linkedin , and Facebook taking the top three spots, and accounting for almost 80% of traffic being driven from social media.

When doing any type of market research, it’s important to benchmark performance against industry averages and perform a social media competitive analysis to verify rival performance across the same channels.

Qualitative questions to inform competitive analysis

Organizations must assess market sentiment toward other players to compete and beat rival firms. Whether you want to increase market share , challenge industry leaders , or reduce churn, understanding how people view you vs. the competition is key.

• What is the overall perception of our competitors’ product offerings in the market?
• What attributes do our competitors prioritize in their customer experience?
• What strategies do our competitors use to differentiate their products from ours?
• How do our competitors position their products in relation to ours?
• How do our competitors’ pricing models compare to ours?
• What do consumers think of our competitors’ product quality?
• What do consumers think of our competitors’ customer service?
• What are the key drivers of purchase decisions in our market?
• What is the impact of our competitors’ marketing campaigns on our market share ? 10. How do our competitors leverage social media to promote their products?

Qualitative research question example for competitive analysis

• ‍♀️ Question: What other companies do you shop with for x?
• Insight sought: W ho are your competitors? Which of your rival’s sites do your customers visit? How loyal are consumers in your market?
• Challenges with traditional qualitative research methods:  Sample size is limited, and customers could be unwilling to reveal which competitors they shop with, or how often they around. Where finances are involved, people can act with reluctance or bias, and be unwilling to reveal other suppliers they do business with.
• A better approach: Get a complete picture of your audience’s loyalty, see who else they shop with, and how many other sites they visit in your competitive group. Find out the size of the untapped opportunity and which players are doing a better job at attracting unique visitors – without having to ask people to reveal their preferences.
• ✅ How it’s done: Similarweb website analysis shows you the competitive sites your audience visits, giving you access to data that shows cross-visitation habits, audience loyalty, and untapped potential in a matter of minutes.

Using the audience interests element of Similarweb website analysis, you can view the cross-browsing behaviors of a website’s audience instantly. You can see a matrix that shows the percentage of visitors on a target site and any rival site they may have visited.

With the Similarweb audience overlap feature, view the cross-visitation habits of an audience across specific websites. In this example, I chose chase.com and its four closest competitors to review. For each intersection, you see the number of unique visitors and the overall proportion of each site’s audience it represents. It also shows the volume of unreached potential visitors.

Here, you can see a direct comparison of the audience loyalty represented in a bar graph. It shows a breakdown of each site’s audience based on how many other sites they have visited. Those sites with the highest loyalty show fewer additional sites visited.

From the perspective of chase.com, I can see 47% of their visitors do not visit rival sites. 33% of their audience visited 1 or more sites in this group, 14% visited 2 or more sites, 4% visited 3 or more sites, and just 0.8% viewed all sites in this comparison. 

How to answer qualitative research questions with Similarweb

Similarweb Research Intelligence drastically improves market research efficiency and time to insight. Both of these can impact the bottom line and the pace at which organizations can adapt and flex when markets shift, and rivals change tactics.

Outdated practices, while still useful, take time . And with a quicker, more efficient way to garner similar insights, opting for the fast lane puts you at a competitive advantage.

With a birds-eye view of the actions and behaviors of companies and consumers across a market , you can answer certain research questions without the need to plan, do, and review extensive qualitative market research .

Wrapping up

Qualitative research methods have been around for centuries. From designing the questions to finding the best distribution channels, collecting and analyzing findings takes time to get the insights you need. Similarweb Digital Research Intelligence drastically improves efficiency and time to insight. Both of which impact the bottom line and the pace at which organizations can adapt and flex when markets shift.

Similarweb’s suite of digital intelligence solutions offers unbiased, accurate, honest insights you can trust for analyzing any industry, market, or audience.

• Methodologies used for data collection are robust, transparent, and trustworthy.
• Clear presentation of data via an easy-to-use, intuitive platform.
• It updates dynamically–giving you the freshest data about an industry or market.
• Data is available via an API – so you can plug into platforms like Tableau or PowerBI to streamline your analyses.
• Filter and refine results according to your needs.

Are quantitative or qualitative research questions best?

Both have their place and purpose in market research. Qualitative research questions seek to provide details, whereas quantitative market research gives you numerical statistics that are easier and quicker to analyze. You get more flexibility with qualitative questions, and they’re non-directional.

What are the advantages of qualitative research?

Qualitative research is advantageous because it allows researchers to better understand their subject matter by exploring people’s attitudes, behaviors, and motivations in a particular context. It also allows researchers to uncover new insights that may not have been discovered with quantitative research methods.

What are some of the challenges of qualitative research?

Qualitative research can be time-consuming and costly, typically involving in-depth interviews and focus groups. Additionally, there are challenges associated with the reliability and validity of the collected data, as there is no universal standard for interpreting the results.

by Liz March

Digital Research Specialist

Liz March has 15 years of experience in content creation. She enjoys the outdoors, F1, and reading, and is pursuing a BSc in Environmental Science.

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• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

• How does social media shape body image in teenagers?
• How do children and adults interpret healthy eating in the UK?
• What factors influence employee retention in a large organization?
• How is anxiety experienced around the world?
• How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organize your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorize your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

• Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organization to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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The Complete Guide to Qualitative Market Research

So what exactly is qualitative research? At a glance, this type of research method seeks to gather in-depth data about a phenomenon without focusing on numerical data or on quantities.

But there is much more to this kind of study method. Learn holistically about qualitative market research with this complete guide.

What Defines & Makes Up Qualitative Research?

Qualitative research is centered around experiences, ideas and opinions. As such, it does not focus on statistical or quantitative outcomes. Instead, it seeks out an in-depth understanding of an issue, occurrence or phenomenon.

Thus, this research method zeroes in on the “what” and more importantly, the “why” of a research subject. (Unlike quantitative research, which focuses on the “how much”).

Here are some of the applications of qualitative research:

Understanding an issue in greater depth

Finding the reason behind an occurrence (whether it’s desirable or undesirable)

Uncovering trends in target market opinions

Forming educated solutions to address customer/studied subject concerns

Discovering the causes of certain actions

Qualitative research generally relies on a smaller sample size in order to get a deep read of happenings, causes and motivations. This kind of research method functions through the usage of open-ended and exploratory questions.

Understanding the “why” behind an issue is then used to make decisions on how to resolve the issue or how to improve on an existing productive situation.

Qualitative data must occur in natural environments. This denotes a kind of environment in which participants discuss their opinions at length and at ease, which researchers use to gain deeper knowledge and form inferences around a topic.

Prior to the internet, this kind of research was conducted in-person, but with the advent of the internet and innovations in market research, qualitative data has been collected online. The digital space can also serve as a natural environment.

The Five Main Types of Qualitative Research

Just as with quantitative research, there is not a single approach to conducting qualitative research. On the contrary, there are five main varieties of performing qualitative research. Aside from their methodology, these sub-categories also seek different types of answers and conclusions.

1. Narrative Research

This research is used to form a cohesive story, or narrative, by way of consolidating several events from a small group of people. It involves running in-depth interviews and reading up on documents featuring similar actions as a means of theme-searching.

The point of this is to discover how one narrative is shaped by larger contextual influences. Interviews should be conducted for weeks to months and sometimes even for years. The narrative that the researcher uncovers does not have to be presented in sequential order.

Instead, it should be projected as one with defined themes that attempt to reconcile inconsistent stories. This method can highlight the research study’s ongoing challenges and hardships, which can be used to make any improvements.

2. Ethnographic Research

The most common qualitative research method, ethnography relies on entrenching oneself in various participant environments to extract challenges, goals, themes and cultures.

As the name suggests, it involves taking an ethnographic approach to research, meaning that researchers would experience an environment themselves to draw research. Using this firsthand observation, the researcher would not need to then rely on interviews or surveys.

This approach may seem to be far-fetched where market research is concerned, but it is doable. For example, you’d like to see the effectiveness or frustration that customers face when using your product. Since you can’t follow them home, you can request videos that show them using it. Many big brands have call-outs on their websites (ex: on product pages) for their customers to send in videos of their interactions with the products.

3. Phenomenological Research

This qualitative method entails researchers having to probe a phenomenon or event by bringing lived experiences to light and then interpreting them. In order to achieve this, researchers use several methods in combination.

These include conducting surveys, interviews and utilizing secondary research such as available documents and videos on the studied phenomenon. Additionally, as in ethnographic research, phenomenological research involves visiting places to collect research.

These will help you understand how your participants view your subject of examination. In turn, you will gain insight into the participants’ motivations.

In this research type, you would conduct between 5 and 25 surveys or interviews, then peruse them for themes. Once again, you would scrutinize experiences and sentiment over numerical data.

4. Grounded Theory Research

In contrast to phenomenological research, which seeks to fully form the core of an issue, grounded theory attempts to find explanations (the why) behind an issue. To achieve this, researchers use interviews, surveys and secondary research to form a theory around the issue/occurrence.

The sample of this study tends to be on the larger side, at 20-60 participants. Data extracted from this type of research is interpreted to determine the reasoning behind, for example, heavy usage of or frustration with a product. These types of studies help a business innovate an existing product by getting into the weeds of how it’s used.

5. Action Research

This type of research involves researchers and participants working collaboratively to bring theory to practice. Also called participatory research, collaborative inquiry, emancipatory research and action learning, this method entails the act of “learning by doing.”

This means a group of researchers come together to find and address a problem, resolve it and then study the success of their endeavors. If they underperformed or their outcomes don’t satisfy their expectations, they would then reattempt the process.

In action research , a researcher spends a considerable amount of time on collecting, analyzing, and presenting data in an ongoing, periodic process. This involves researchers coming up with their own surveys and interviews around a subject matter, then presenting their findings to one another to draw conclusions and solutions.

They would put into practice the means to improve a situation and continue measuring their success throughout the process.

Examples of Questions for Qualitative Research

When working within the capacity of any of the above research types, it’s crucial to ask the right questions. Here you’ll find the questions you can use when conducting each of the five types of qualitative research.

Bear in mind that some of these questions will appear to be similar in nature; some are even interchangeable. That is normal, as researchers may search for the same answers, but apply a different approach in their research method.

In any case, all of the below features questions that fit within the larger qualitative research framework.

Learn more about asking insightful market research questions . Here are a few examples of the questions within the five categories:

1. How do people who witnessed domestic violence understand its effects in their own relationships?

    Variable: Views of domestic violence on one’s own relationships

    Demographic: People in relationships, who’ve witnessed domestic violence

    Qualitative Research Type : Narrative

2. What are the lived experiences of working-class Americans between the ages of 20 and 40?

    Variable: Experiences and views of a working-class background

    Demographic: Working-class Americans ages 20-40

3. How do Asian Americans experience reaching out to address mental health concerns?

    Variable: The experiences in seeking out care for mental health

    Demographic: Asian Americans seeking help for mental health

    Qualitative Research Type: Ethnographic

4. What do you enjoy about this product or service?

    Variable: The positive experiences of using a particular product/service

    Demographic: The target market of a product or service

5. How have people who have experienced poverty changed their shopping habits when they entered the middle (or higher) class?

    Variable: The changes or stagnation in shopping habits

    Demographic: those who experienced poverty, but climbed the social ladder

    Qualitative Research Type : Phenomenological

6. What was it like when you had a negative online shopping experience?

    Variable: unpleasant shopping experiences

    Demographic: a group that is most likely to shop at a particular online store

7. What influences managers in private sectors to seek further professional advancement?

    Variable: Motivation for seniority

    Demographic: Managers in the private sector

    Qualitative Research Type: Grounded Theory

8. How do women in third world countries set up financial independence?

    Variable: Efforts at reaching financial independence

    Demographic: Women in third-world countries

9. What impact does collaborative working have on the UX optimization efforts of a telecommunications company?

    Variable: effects of collaboration on the UX of a telecommunications company

    Demographic: workers in the telecommunications space

    Qualitative Research Type: Action Research

10. What strategies can marketing managers use to improve the reach of millennial customers?

    Variable: Strategies to improve millennial reach and their outcomes

    Demographic: Marketing managers

When to Use the Research and How to Analyze It

The qualitative research method has specific use cases. You ought to consider which is best for your particular business, which includes your strategy, your marketing and other facets.

The core of qualitative research is to understand a phenomenon (a problem, an inadequacy, and a slew of other occurrences) including its causes, its motivations, its goals and its solutions. Researchers do this by observing smaller portions of a population.

Researchers should use this form of research whenever you need to get the gist of a particular occurrence or event. It is particularly useful for studying how your target market experiences certain situations and how it feels about them.

There are several more specific ways that elucidate why this research style is valuable if not completely necessary. Here are some of the most crucial ways this method of research is vital:

Helps brands see the emotional connections customers have with them

Allows brands to find gaps in customer experience (CX) and user experience (UX)

Enables brands to create experiences that are more tailored to their target market

Helps businesses understand how they can improve on their product, service or CX

Finds experiences that customers had that highlight sensitive topics/language for them

Shows businesses how customers compare them to their competitors

Identifies possible solutions and innovations based on customer attitudes and experiences

To analyze qualitative research, you should first identify your subject of study and decide on the type of research you need to conduct based on the five types of research that fall under the qualitative category.

Then, brainstorm several questions that you can use to form the base of your studies. During the process make sure to jot down (either digitally or otherwise) your observations. For example, record interviews and store surveys in an organized database.

Make sure you ask open-ended questions in surveys, interviews, focus groups, et al. Aggregate secondary research such as government database documents, articles in your niche,  images,  videos and more.

Search for patterns or similarities within your findings. When you group them together and organize them by demographics, you can start drawing conclusions and proposing solutions.

The Benefits and Drawbacks of Qualitative Research

Qualitative research can be extraordinarily beneficial. But as with other aspects of research and beyond, it too comes with a set of drawbacks. As a business owner, marketer or market researcher, you should know both the pros and cons. Here are some notable ones:

More intimate understanding of context and causation: besides understanding “what” in a granular way, you also learn the “why” and “how” of a particular situation.

Understanding key experiences: Open-ended questions lead to unique answers, exposing things numerical-based surveys can’t answer.

A foundation of deep insights: The design of the study is made to understand how customers relate to particular occurrences, events, ideas and products.

Context-driven: Finding insights on motivation and past behaviors allows researchers to understand what their target market needs and what it tries to avoid.

No need to find and create the correct measuring units: Open-ended questions don’t require a scale, a number range or any other measuring tools — one less thing to worry about.

Smaller sample size: Smaller sample sizes allow researchers to study responses more thoroughly to form more accurate hypotheses and conclusions.

Inspirational : The responses received can also help researchers form new studies.

Flexible and detail-oriented : Since questions aren’t based on scales and other units, you can ask more creative and in-depth questions. Questions focus on details and subtleties for robust insights.

Relies on researcher experience: It relies on the researchers’ experience; not all are familiar with industry topics.

Not statistically representative: Only collects perspective-based research; does not provide statistical representation. Only comparisons, not measurements can be executed.

Difficult to make copies of data.  Individual perspectives make it hard to replicate findings, making it it more difficult to form conclusions.

More likely to have researcher bias: Both conscious or subconscious of the researcher can affect the data. The conclusions they draw can thus be influenced by their bias. (This can be avoided by using controls in data collection.

The Final Word

Market research is a wide-spanning undertaking. It has a wide swath of aspects, practices and applications. As such, researchers should know its main categories and qualitative research is one such category of significance.

As opposed to quantitative research, which has four methods, qualitative research has five — not all of which will be of use to your particular market research needs. In any case, this type of research involves imbuing as much context and particularities around a phenomenon as possible.

As such, researchers should create questions more specific to the aforementioned examples of this article. That is because those are more encompassing, generalized questions that researchers can attempt to answer after conducting all of their research and parsing of the findings.

But prior to that, researchers should ask several related questions around a particular topic and tailor those questions as best as possible to the target audience.

Frequently asked questions

What is qualitative research.

Qualitative research is a type of research that is conducted to gain deep or unexpected insights rather than focusing on numeral or quantitative data.

Why is qualitative research conducted?

Qualitative research is conducted to find the “why” of the research subject, rather than the “what’ of that subject. For example, qualitative research might be conducted to understand an issue more deeply, to understand why something is happening, or to learn how to address a target market’s concerns.

What is narrative research?

Narrative research is a type of research that is used to create an in-depth story about a phenomenon or event. It is conducted by interviewing a small group of people who were directly involved in the event.

How is ethnographic research conducted?

When conducting ethnographic research, the researchers use firsthand observations of an environment to more deeply understand the goals, challenges, or opinions of the target audience.

What is action research?

Action research is a type of qualitative research in which researchers and participants collaborate to better understand a phenomenon. Together the group works to find and solve the problem by gathering information on an ongoing and evolving basis.

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Qualitative research examples: How to unlock, rich, descriptive insights

Qualitative research uncovers in-depth user insights, but what does it look like? Here are seven methods and examples to help you get the data you need.

Armin Tanovic

Behind every what, there’s a why . Qualitative research is how you uncover that why. It enables you to connect with users and understand their thoughts, feelings, wants, needs, and pain points.

There’s many methods for conducting qualitative research, and many objectives it can help you pursue—you might want to explore ways to improve NPS scores, combat reduced customer retention, or understand (and recreate) the success behind a well-received product. The common thread? All these metrics impact your business, and qualitative research can help investigate and improve that impact.

In this article, we’ll take you through seven methods and examples of qualitative research, including when and how to use them.

Qualitative UX research made easy

Conduct qualitative research with Maze, analyze data instantly, and get rich, descriptive insights that drive decision-making.

7 Qualitative research methods: An overview

There are various qualitative UX research methods that can help you get in-depth, descriptive insights. Some are suited to specific phases of the design and development process, while others are more task-oriented.

Here’s our overview of the most common qualitative research methods. Keep reading for their use cases, and detailed examples of how to conduct them.

1. User interviews

A user interview is a one-on-one conversation between a UX researcher, designer or Product Manager and a target user to understand their thoughts, perspectives, and feelings on a product or service. User interviews are a great way to get non-numerical data on individual experiences with your product, to gain a deeper understanding of user perspectives.

Interviews can be structured, semi-structured, or unstructured . Structured interviews follow a strict interview script and can help you get answers to your planned questions, while semi and unstructured interviews are less rigid in their approach and typically lead to more spontaneous, user-centered insights.

When to use user interviews

Interviews are ideal when you want to gain an in-depth understanding of your users’ perspectives on your product or service, and why they feel a certain way.

Interviews can be used at any stage in the product design and development process, being particularly helpful during:

• The discovery phase: To better understand user needs, problems, and the context in which they use your product—revealing the best potential solutions
• The design phase: To get contextual feedback on mockups, wireframes, and prototypes, helping you pinpoint issues and the reasons behind them
• Post-launch: To assess if your product continues to meet users’ shifting expectations and understand why or why not

How to conduct user interviews: The basics

• Draft questions based on your research objectives
• Recruit relevant research participants and schedule interviews
• Conduct the interview and transcribe responses
• Analyze the interview responses to extract insights
• Use your findings to inform design, product, and business decisions

💡 A specialized user interview tool makes interviewing easier. With Maze Interview Studies , you can recruit, host, and analyze interviews all on one platform.

User interviews: A qualitative research example

Let’s say you’ve designed a recruitment platform, called Tech2Talent , that connects employers with tech talent. Before starting the design process, you want to clearly understand the pain points employers experience with existing recruitment tools'.

You draft a list of ten questions for a semi-structured interview for 15 different one-on-one interviews. As it’s semi-structured, you don’t expect to ask all the questions—the script serves as more of a guide.

One key question in your script is: “Have tech recruitment platforms helped you find the talent you need in the past?”

Most respondents answer with a resounding and passionate ‘no’ with one of them expanding:

“For our company, it’s been pretty hit or miss honestly. They let just about anyone make a profile and call themselves tech talent. It’s so hard sifting through serious candidates. I can’t see any of their achievements until I invest time setting up an interview.”

You begin to notice a pattern in your responses: recruitment tools often lack easily accessible details on talent profiles.

You’ve gained contextual feedback on why other recruitment platforms fail to solve user needs.

2. Focus groups

A focus group is a research method that involves gathering a small group of people—around five to ten users—to discuss a specific topic, such as their’ experience with your new product feature. Unlike user interviews, focus groups aim to capture the collective opinion of a wider market segment and encourage discussion among the group.

When to use focus groups

You should use focus groups when you need a deeper understanding of your users’ collective opinions. The dynamic discussion among participants can spark in-depth insights that might not emerge from regular interviews.

Focus groups can be used before, during, and after a product launch. They’re ideal:

• Throughout the problem discovery phase: To understand your user segment’s pain points and expectations, and generate product ideas
• Post-launch: To evaluate and understand the collective opinion of your product’s user experience
• When conducting market research: To grasp usage patterns, consumer perceptions, and market opportunities for your product

How to conduct focus group studies: The basics

• Draft prompts to spark conversation, or a series of questions based on your UX research objectives
• Find a group of five to ten users who are representative of your target audience (or a specific user segment) and schedule your focus group session
• Conduct the focus group by talking and listening to users, then transcribe responses
• Analyze focus group responses and extract insights
• Use your findings to inform design decisions

The number of participants can make it difficult to take notes or do manual transcriptions. We recommend using a transcription or a specialized UX research tool , such as Maze, that can automatically create ready-to-share reports and highlight key user insights.

Focus groups: A qualitative research example

You’re a UX researcher at FitMe , a fitness app that creates customized daily workouts for gym-goers. Unlike many other apps, FitMe takes into account the previous day’s workout and aims to create one that allows users to effectively rest different muscles.

However, FitMe has an issue. Users are generating workouts but not completing them. They’re accessing the app, taking the necessary steps to get a workout for the day, but quitting at the last hurdle.

Time to talk to users.

You organize a focus group to get to the root of the drop-off issue. You invite five existing users, all of whom have dropped off at the exact point you’re investigating, and ask them questions to uncover why.

A dialog develops:

Participant 1: “Sometimes I’ll get a workout that I just don’t want to do. Sure, it’s a good workout—but I just don’t want to physically do it. I just do my own thing when that happens.”

Participant 2: “Same here, some of them are so boring. I go to the gym because I love it. It’s an escape.”

Participant 3: “Right?! I get that the app generates the best one for me on that specific day, but I wish I could get a couple of options.”

Participant 4: “I’m the same, there are some exercises I just refuse to do. I’m not coming to the gym to do things I dislike.”

Conducting the focus groups and reviewing the transcripts, you realize that users want options. A workout that works for one gym-goer doesn’t necessarily work for the next.

A possible solution? Adding the option to generate a new workout (that still considers previous workouts)and the ability to blacklist certain exercises, like burpees.

3. Ethnographic research

Ethnographic research is a research method that involves observing and interacting with users in a real-life environment. By studying users in their natural habitat, you can understand how your product fits into their daily lives.

Ethnographic research can be active or passive. Active ethnographic research entails engaging with users in their natural environment and then following up with methods like interviews. Passive ethnographic research involves letting the user interact with the product while you note your observations.

When to use ethnographic research

Ethnographic research is best suited when you want rich insights into the context and environment in which users interact with your product. Keep in mind that you can conduct ethnographic research throughout the entire product design and development process —from problem discovery to post-launch. However, it’s mostly done early in the process:

• Early concept development: To gain an understanding of your user's day-to-day environment. Observe how they complete tasks and the pain points they encounter. The unique demands of their everyday lives will inform how to design your product.
• Initial design phase: Even if you have a firm grasp of the user’s environment, you still need to put your solution to the test. Conducting ethnographic research with your users interacting with your prototype puts theory into practice.

How to conduct ethnographic research:

• Recruit users who are reflective of your audience
• Meet with them in their natural environment, and tell them to behave as they usually would
• Take down field notes as they interact with your product
• Engage with your users, ask questions, or host an in-depth interview if you’re doing an active ethnographic study
• Collect all your data and analyze it for insights

While ethnographic studies provide a comprehensive view of what potential users actually do, they are resource-intensive and logistically difficult. A common alternative is diary studies. Like ethnographic research, diary studies examine how users interact with your product in their day-to-day, but the data is self-reported by participants.

⚙️ Recruiting participants proving tough and time-consuming? Maze Panel makes it easy, with 400+ filters to find your ideal participants from a pool of 3 million participants.

Ethnographic research: A qualitative research example

You're a UX researcher for a project management platform called ProFlow , and you’re conducting an ethnographic study of the project creation process with key users, including a startup’s COO.

The first thing you notice is that the COO is rushing while navigating the platform. You also take note of the 46 tabs and Zoom calls opened on their monitor. Their attention is divided, and they let out an exasperated sigh as they repeatedly hit “refresh” on your website’s onboarding interface.

You conclude the session with an interview and ask, “How easy or difficult did you find using ProFlow to coordinate a project?”

The COO answers: “Look, the whole reason we turn to project platforms is because we need to be quick on our feet. I’m doing a million things so I need the process to be fast and simple. The actual project management is good, but creating projects and setting up tables is way too complicated.”

You realize that ProFlow ’s project creation process takes way too much time for professionals working in fast-paced, dynamic environments. To solve the issue, propose a quick-create option that enables them to move ahead with the basics instead of requiring in-depth project details.

4. Qualitative observation

Qualitative observation is a similar method to ethnographic research, though not as deep. It involves observing your users in a natural or controlled environment and taking notes as they interact with a product. However, be sure not to interrupt them, as this compromises the integrity of the study and turns it into active ethnographic research.

When to qualitative observation

Qualitative observation is best when you want to record how users interact with your product without anyone interfering. Much like ethnographic research, observation is best done during:

• Early concept development: To help you understand your users' daily lives, how they complete tasks, and the problems they deal with. The observations you collect in these instances will help you define a concept for your product.
• Initial design phase: Observing how users deal with your prototype helps you test if they can easily interact with it in their daily environments

How to conduct qualitative observation:

• Recruit users who regularly use your product
• Meet with users in either their natural environment, such as their office, or within a controlled environment, such as a lab
• Observe them and take down field notes based on what you notice

Qualitative observation: An qualitative research example

You’re conducting UX research for Stackbuilder , an app that connects businesses with tools ideal for their needs and budgets. To determine if your app is easy to use for industry professionals, you decide to conduct an observation study.

Sitting in with the participant, you notice they breeze past the onboarding process, quickly creating an account for their company. Yet, after specifying their company’s budget, they suddenly slow down. They open links to each tool’s individual page, confusingly switching from one tab to another. They let out a sigh as they read through each website.

Conducting your observation study, you realize that users find it difficult to extract information from each tool’s website. Based on your field notes, you suggest including a bullet-point summary of each tool directly on your platform.

5. Case study research

Case studies are a UX research method that provides comprehensive and contextual insights into a real-world case over a long period of time. They typically include a range of other qualitative research methods, like interviews, observations, and ethnographic research. A case study allows you to form an in-depth analysis of how people use your product, helping you uncover nuanced differences between your users.

When to use case studies

Case studies are best when your product involves complex interactions that need to be tracked over a longer period or through in-depth analysis. You can also use case studies when your product is innovative, and there’s little existing data on how users interact with it.

As for specific phases in the product design and development process:

• Initial design phase: Case studies can help you rigorously test for product issues and the reasons behind them, giving you in-depth feedback on everything between user motivations, friction points, and usability issues
• Post-launch phase: Continuing with case studies after launch can give you ongoing feedback on how users interact with the product in their day-to-day lives. These insights ensure you can meet shifting user expectations with product updates and future iterations

How to conduct case studies:

• Outline an objective for your case study such as examining specific user tasks or the overall user journey
• Select qualitative research methods such as interviews, ethnographic studies, or observations
• Collect and analyze your data for comprehensive insights
• Include your findings in a report with proposed solutions

Case study research: A qualitative research example

Your team has recently launched Pulse , a platform that analyzes social media posts to identify rising digital marketing trends. Pulse has been on the market for a year, and you want to better understand how it helps small businesses create successful campaigns.

To conduct your case study, you begin with a series of interviews to understand user expectations, ethnographic research sessions, and focus groups. After sorting responses and observations into common themes you notice a main recurring pattern. Users have trouble interpreting the data from their dashboards, making it difficult to identify which trends to follow.

With your synthesized insights, you create a report with detailed narratives of individual user experiences, common themes and issues, and recommendations for addressing user friction points.

Some of your proposed solutions include creating intuitive graphs and summaries for each trend study. This makes it easier for users to understand trends and implement strategic changes in their campaigns.

6. Secondary research

Secondary research is a research method that involves collecting and analyzing documents, records, and reviews that provide you with contextual data on your topic. You’re not connecting with participants directly, but rather accessing pre-existing available data. For example, you can pull out insights from your UX research repository to reexamine how they apply to your new UX research objective.

Strictly speaking, it can be both qualitative and quantitative—but today we focus on its qualitative application.

When to use secondary research

Record keeping is particularly useful when you need supplemental insights to complement, validate, or compare current research findings. It helps you analyze shifting trends amongst your users across a specific period. Some other scenarios where you need record keeping include:

• Initial discovery or exploration phase: Secondary research can help you quickly gather background information and data to understand the broader context of a market
• Design and development phase: See what solutions are working in other contexts for an idea of how to build yours

Secondary research is especially valuable when your team faces budget constraints, tight deadlines, or limited resources. Through review mining and collecting older findings, you can uncover useful insights that drive decision-making throughout the product design and development process.

How to conduct secondary research:

• Outline your UX research objective
• Identify potential data sources for information on your product, market, or target audience. Some of these sources can include: a. Review websites like Capterra and G2 b. Social media channels c. Customer service logs and disputes d. Website reviews e. Reports and insights from previous research studies f. Industry trends g. Information on competitors
• Analyze your data by identifying recurring patterns and themes for insights

Secondary research: A qualitative research example

SafeSurf is a cybersecurity platform that offers threat detection, security audits, and real-time reports. After conducting multiple rounds of testing, you need a quick and easy way to identify remaining usability issues. Instead of conducting another resource-intensive method, you opt for social listening and data mining for your secondary research.

Browsing through your company’s X, you identify a recurring theme: many users without a background in tech find SafeSurf ’s reports too technical and difficult to read. Users struggle with understanding what to do if their networks are breached.

After checking your other social media channels and review sites, the issue pops up again.

With your gathered insights, your team settles on introducing a simplified version of reports, including clear summaries, takeaways, and step-by-step protocols for ensuring security.

By conducting secondary research, you’ve uncovered a major usability issue—all without spending large amounts of time and resources to connect with your users.

7. Open-ended surveys

Open-ended surveys are a type of unmoderated UX research method that involves asking users to answer a list of qualitative research questions designed to uncover their attitudes, expectations, and needs regarding your service or product. Open-ended surveys allow users to give in-depth, nuanced, and contextual responses.

When to use open-ended surveys

User surveys are an effective qualitative research method for reaching a large number of users. You can use them at any stage of the design and product development process, but they’re particularly useful:

• When you’re conducting generative research : Open-ended surveys allow you to reach a wide range of users, making them especially useful during initial research phases when you need broad insights into user experiences
• When you need to understand customer satisfaction: Open-ended customer satisfaction surveys help you uncover why your users might be dissatisfied with your product, helping you find the root cause of their negative experiences
• In combination with close-ended surveys: Get a combination of numerical, statistical insights and rich descriptive feedback. You’ll know what a specific percentage of your users think and why they think it.

How to conduct open-ended surveys:

• Design your survey and draft out a list of survey questions
• Distribute your surveys to respondents
• Analyze survey participant responses for key themes and patterns
• Use your findings to inform your design process

Open-ended surveys: A qualitative research example

You're a UX researcher for RouteReader , a comprehensive logistics platform that allows users to conduct shipment tracking and route planning. Recently, you’ve launched a new predictive analytics feature that allows users to quickly identify and prepare for supply chain disruptions.

To better understand if users find the new feature helpful, you create an open-ended, in-app survey.

The questions you ask your users:

• “What has been your experience with our new predictive analytics feature?"
• “Do you find it easy or difficult to rework your routes based on our predictive suggestions?”
• “Does the predictive analytics feature make planning routes easier? Why or why not?”

Most of the responses are positive. Users report using the predictive analytics feature to make last-minute adjustments to their route plans, and some even rely on it regularly. However, a few users find the feature hard to notice, making it difficult to adjust their routes on time.

To ensure users have supply chain insights on time, you integrate the new feature into each interface so users can easily spot important information and adjust their routes accordingly.

💡 Surveys are a lot easier with a quality survey tool. Maze’s Feedback Surveys solution has all you need to ensure your surveys get the insights you need—including AI-powered follow-up and automated reports.

Qualitative research vs. quantitative research: What’s the difference?

Alongside qualitative research approaches, UX teams also use quantitative research methods. Despite the similar names, the two are very different.

Here are some of the key differences between qualitative research and quantitative research .

Before selecting either qualitative or quantitative methods, first identify what you want to achieve with your UX research project. As a general rule of thumb, think qualitative data collection for in-depth understanding and quantitative studies for measurement and validation.

Conduct qualitative research with Maze

You’ll often find that knowing the what is pointless without understanding the accompanying why . Qualitative research helps you uncover your why.

So, what about how —how do you identify your 'what' and your 'why'?

The answer is with a user research tool like Maze.

Maze is the leading user research platform that lets you organize, conduct, and analyze both qualitative and quantitative research studies—all from one place. Its wide variety of UX research methods and advanced AI capabilities help you get the insights you need to build the right products and experiences faster.

Frequently asked questions about qualitative research examples

What is qualitative research?

Qualitative research is a research method that aims to provide contextual, descriptive, and non-numerical insights on a specific issue. Qualitative research methods like interviews, case studies, and ethnographic studies allow you to uncover the reasoning behind your user’s attitudes and opinions.

Can a study be both qualitative and quantitative?

Absolutely! You can use mixed methods in your research design, which combines qualitative and quantitative approaches to gain both descriptive and statistical insights.

For example, user surveys can have both close-ended and open-ended questions, providing comprehensive data like percentages of user views and descriptive reasoning behind their answers.

Is qualitative or quantitative research better?

The choice between qualitative and quantitative research depends upon your research goals and objectives.

Qualitative research methods are better suited when you want to understand the complexities of your user’s problems and uncover the underlying motives beneath their thoughts, feelings, and behaviors. Quantitative research excels in giving you numerical data, helping you gain a statistical view of your user's attitudes, identifying trends, and making predictions.

What are some approaches to qualitative research?

There are many approaches to qualitative studies. An approach is the underlying theory behind a method, and a method is a way of implementing the approach. Here are some approaches to qualitative research:

• Grounded theory: Researchers study a topic and develop theories inductively
• Phenomenological research: Researchers study a phenomenon through the lived experiences of those involved
• Ethnography: Researchers immerse themselves in organizations to understand how they operate

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7 Types of Qualitative Research + 6 Types of Qualitative Methods of Research

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Farjad Taheer

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Do you want to learn about the types of qualitative research and some examples of methodologies?

Qualitative studies are vital to the market research process. They provide an understanding of the reasons and motivations behind consumer decisions. You can use this information to improve your marketing and increase sales.

What does that mean for your business?

If you have a product that isn’t selling as well as you expected, qualitative research can help you understand why. Or, if you’re launching a new marketing campaign, qualitative studies can help you create ads that will entice your target audience.

If you’re new to this kind of market research, you’re in the right place.

In this guide, you’ll learn the basics of qualitative market research. We’ll also share how your business can use qualitative data to better appeal to your customers.

What is Qualitative Research?

Why use qualitative research, 7 types of qualitative research, 6 types of qualitative methods of research.

• Ideas for Analyzing Qualitative Data

Qualitative market research is a conversational, open-ended research method that relies on techniques like focus groups, in-depth interviews, and other innovative approaches to gather subjective, non-numerical information. It focuses on people: their experiences, beliefs, and behaviors.

Qualitative research is used across many fields and industries, including sales, marketing, health care, education, and social sciences.

Qualitative vs. Quantitative Research

You likely hear the term “qualitative” used in contrast with “quantitative.”

Quantitative research generates specific numerical data. Its goal is to quantify and generalize the results of a study through numbers, percentages, and statistics. Quantitative research seeks to answer the what , where , when, and who of decision-making.

Qualitative market research, on the other hand, provides insights into the deeper motives behind consumer purchases. Qualitative research answers the why and how .

Why should your business use qualitative research as opposed to quantitative research?

Well, first of all, you should not use qualitative market research instead of quantitative. The 2 are complementary to each other.

Qualitative research on its own is not conclusive. However, you can use it to:

• Explain quantitative research results.
• Conduct market research when traditional surveys are unavailable. For instance, when your topic involves sensitive or complex questions.
• Conduct market research when more structured research is not possible.

Let’s look at an example of combining quantitative and qualitative research.

For instance, we’ll say that your business wants to conduct research to improve your website.

Quantitative research would give you information such as:

• The number of website visitors
• The length of time users stay on each page
• The number of leads generated from each email signup form
• More quantitative data, such as online shopping statistics and conversion rates

This information is all important data about user behavior. But it doesn’t give you the why behind this behavior.

Qualitative research fills in the rest of the picture with information such as:

• Which parts of your website users find difficult to use
• Whether users find your lightbox popups to be intrusive
• Which special offers and coupon codes shoppers find exciting
• More subjective information about how users view the style, relevance, and usability of your site

A complete website study should include both quantitative and qualitative research. Then, you can improve your website based both on hard numbers and users’ experiences and opinions.

Qualitative market research collects subjective feedback and observations from consumers and users. However, as with most data collection, it’s much more complicated in practice.

Experts divide qualitative research into 7 main types. These are also sometimes called types of qualitative research designs.

Below, we’ll quickly explain the basics of each qualitative research approach before diving into qualitative research methods you can use for your market research.

Don’t feel like you have to memorize and fully understand all of these approaches. However, reviewing them will give you a good introduction to the field of qualitative research.

1. Phenomenology

Phenomenological research is based on the root word “phenomena.” It seeks to discover how individual people view specific experiences. Phenomenology focuses on lived experiences and individuality instead of generalizations about larger groups.

2. Ethnography

In the ethnography approach, researchers immerse themselves in a specific culture to gain qualitative data through observation and interaction. Ethnographic research provides more in-depth and nuanced information than, say, questionnaires or interviews. This approach also provides data about specific demographics.

3. Grounded Theory

The term “grounded theory” essentially describes the order in which researchers develop a theory.

In most other types of qualitative research, researchers start with a hypothesis and then conduct a study to test that hypothesis. However, researchers using grounded theory begin with qualitative data, such as interviews and observations, and then analyze it to develop a theory. This approach is helpful when you have no working theory for why consumers behave in a certain way.

4. Case Study

Case studies are in-depth examinations of a business, process, product, person, or group of people. They also often include quantitative research, but they become qualitative when they focus on the reasons behind that data and the participants’ individual experiences.

For instance, in our case study of AdamEnfroy.com , we present subjective feedback in addition to quantitative data:

See more examples of OptinMonster’s case study research.

5. Historical Research

The historical approach to research is reasonably self-explanatory. Researchers analyze data from the past to form expectations about the present and future. In qualitative market research, this might mean analyzing consumer feedback from throughout the history of your company or industry.

6. Narrative Research

The narrative approach seeks to tell a story about people’s experiences. Researchers conduct interviews and collect observations over a period of time. Then, they use this information to develop a narrative about the experiences of an individual or small group of people.

7. Action Research

Action research aims to investigate and solve a specific, immediate problem. This type of research is cyclical. Researchers apply an action, analyze the data, draw conclusions, and start again.

Now that you have an overview of the different types of qualitative research, we’ll explore types of qualitative methods of research along with some practical examples.

The approaches above are fairly abstract. Now, we’ll share some concrete qualitative methods to collect data for your business. Even beginners and small businesses can use these methodologies.

Here are some of the most common types of qualitative research methods to give you greater insight into your customers. Next time that you are ready to launch a new product or start a new marketing campaign, try out one or more of these methods. You’ll get valuable feedback that will help you succeed.

1. In-Depth Interviews Let You Dig Deep

In-depth interviews (IDIs) are a great way to get detailed consumer feedback. An IDI can be conducted over the phone, in person, or via webcam, using services like Skype or Zoom.

Webcam interviews have become the most common qualitative research method. 34% of researchers report regularly conducting webcam IDIs as 1 of their top 3 data collection methods.

Regardless of your interview method, your IDIs should focus on your ideal user or an existing customer. You ask each person a series of research questions and follow-ups to learn what motivates them to buy a product like yours.

For qualitative research, you should always ask open-ended questions. Avoid simple yes/no questions that provide only quantitative data.

You should go into the interview with some questions prepared, but you shouldn’t stick to a script. If the participant says something interesting, ask follow-up questions that dig deeper.

Here are a few initial questions you could ask:

• What frustrates you about [your topic]?
• If I had a magic wand and could give you the perfect product, what would it look like?
• Have you bought [your type of product] before? If so, what motivated you to buy it?

IDIs provide detailed information about individuals. Therefore, they are especially common in the phenomenology and narrative types of qualitative research.

2. Focus Groups Allow for the Exchange of Ideas

Like IDIs, focus groups can be face-to-face or online. These groups usually involve sample sizes of 6-10 people. They provide a safe and comfortable environment for your users to talk about their thoughts and feelings surrounding your product.

The advantage of in-person focus groups is that you observe the consumer’s verbal and non-verbal reaction to your product or advertising. Group members can also bounce off each other’s thoughts and ideas, which means you’ll get even greater insights.

You can use focus groups to:

• Test a new product or website
• Explore the general concept for your product
• Evaluate your advertising copy and imagery
• Explore new packaging ideas

Online focus groups are similar to in-person ones. They’re more cost-efficient, allow you to include more people, and are less time-consuming to organize. Now that more people are comfortable with Zoom and Skype, online focus groups are more accessible than ever before.

You can also use social media to your advantage. Create a community of people interested in your topic and use it to foster a conversation. Then, observe the dialogue. You’ll gain a lot of interesting insights!

3. Shopping Observations, or “Shop-Alongs,” Give Real-Time Insight

An in-person observation of shopping behavior lets you watch the consumer react to your products in-store. With a shop-along, you get to see consumers’ real-life shopping behavior. Because you see immediate reactions, this method provides different insight than a written survey.

These qualitative studies highlight problems with shelf displays, clutter, or out-of-stock products. You may also interact with consumers to get deeper insights during the shopping process. You can get real-time feedback on package design, for example.

4. In-Home Videos Show Realistic Product Use

In-home videos allow you to observe how users interact with your product in real life, in their own homes.

This research method’s advantage is the setting of the participant observation. You can see your user’s behavior in a natural, comfortable environment. You’ll get a more realistic view of how people use your product.

5. Lifestyle Immersion Lets You Hear Real-World Dialogue

Lifestyle immersion is when you attend an event, such as a party or a family gathering. This research method gives you an uninterrupted view of users’ attitudes and behaviors. Immersion is another excellent way to get candid insight in a comfortable, familiar setting.

During these activities, observe your users having a dialogue with their friends. Listen to these real-world conversations to learn about consumers’ desires, frustrations, and motivations.

6. Journal or Diary Studies for Honest Feedback

Have your user or potential customer keep a journal or a diary to document their experience with your topic or product. Users may be more likely to be completely honest when they’re not face-to-face with an interviewer or moderator.

Journals can be handwritten or digital. Either way, it will capture your user’s voice, which is extremely valuable for optimizing your marketing copy.

3 Tips for Qualitative Data Analysis (to Help You Understand Your Customers)

Using the methods and types of qualitative research discussed above, you can gather excellent information about consumers’ opinions, experiences, and behaviors. The next step is to analyze your data.

Since qualitative data is unstructured, it can be tricky to draw conclusions, let alone present your findings. While qualitative data is not conclusive in and of itself, here are a few tips for analyzing qualitative research data.

“Top 5 Best Survey Data Visualization Tools (In-Depth Comparison)

1. Summarize the Key Points

For interviews and focus groups, have the moderator write up some key points from the discussion. For example: “Common concerns among participants about our pizza were cheese overuse, greasiness, and bland sauce.”

Here is an example of a qualitative summary from a market research project for Pizza Hut Pakistan

2. Code Responses

Coding is the process of organizing and labeling your qualitative data into categories. You can “code” your unstructured data into labels you can summarize with tables or charts.

For example, a researcher might have asked the open-ended question, “How often do you wear a watch?”

Every respondent’s answer would likely be a little different. But you could code them in categories such as:

• Once in a while

This process gives you coded data sets to analyze and report.

3. Create a Word Cloud

Create a “word cloud” out of the keywords used by consumers. Put your field notes into a word cloud generator like WordClouds.com . In your cloud, the words that research participants used most often will be the largest. You’ll be able to spot the most prominent words easily.

Use Qualitative Research to Improve Marketing and Sales

You can use these qualitative research types, methods, and analysis strategies to understand your users and customers. Qualitative data collection will help you improve your product development and marketing strategy, leading to more sales and revenue.

If online surveys are part of your research process, check out our survey best practices .

Once you clearly understand your customers, apply what you’ve learned to your email marketing strategy . Using in-depth qualitative data, you’ll generate more leads and sales than ever before.

Disclosure : Our content is reader-supported. This means if you click on some of our links, then we may earn a commission. We only recommend products that we believe will add value to our readers.

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6 Qualitative data examples for thorough market researchers

Types of qualitative data in market research, 6 qualitative data examples, get nuanced insights from qualitative market research.

There are plenty of ways to gather consumer insights for fresh campaigns and better products, but qualitative research is up there with the best sources of insight.

This guide is packed with examples of how to turn qualitative data into actionable insights, to spark your creativity and sharpen your research strategy. You’ll see how qualitative data, especially through surveys, opens doors to deeper understanding by inviting consumers to share their experiences and thoughts freely, in their own words — and how qualitative data can transform your brand.

Before we dig into some examples of how qualitative data can empower your teams to make focused, confident and quick decisions on anything from product to marketing, let’s go back to basics. We can categorize qualitative data into roughly three categories: binary, nominal and ordinal data. Here’s how each of them is used in qualitative data analysis.

Binary data

Binary data represents a choice between two distinct options, like ‘yes’ or ‘no’. In market research, this type of qualitative data is useful for filtering responses or making clear distinctions in consumer preferences.

Binary data in qualitative research is great for straightforward insights, but has its limits. Here’s a quick guide on when to use it and when to opt for qualitative data that is more detailed:

Binary data is great for:

• Quick Yes/No questions : like “Have you used our app? Yes or No.”
• Initial screening : to quickly sort participants for further studies.
• Clear-cut answers : absolute factors, such as ownership or usage.

Avoid binary data for:

• Understanding motivations : it lacks the depth to explore why behind actions.
• Measuring intensity : can’t show how much someone likes or uses something.
• Detail needed for product development : misses the nuanced feedback necessary for innovations.

Nominal data

Nominal data categorizes responses without implying any order. For example, when survey respondents choose their favorite brand from a list, the data collected is nominal, offering insights into brand preferences among different demographics.

Some other examples of qualitative data that can be qualified as nominal are asking participants to name their primary information source about products in categories like social media, friends, or online reviews. Or in focus groups, discussing brand perceptions could classify brands into categories such as luxury, budget-friendly, or eco-conscious, based on participant descriptions.

Nominal data is great for:

• Categorizing responses : such as types of consumer complaints (product quality, customer service, delivery issues).
• Identifying preferences : like favorite product categories (beverages, electronics, apparel).
• Segmentation : grouping participants based on attributes (first-time buyers, loyal customers).

Nominal data is not for:

• Measuring quantities : it can’t quantify how much more one category is preferred over another.
• Ordering or ranking responses : it doesn’t indicate which category is higher or lower in any hierarchy.
• Detailed behavioral analysis : While it can group behaviors, it doesn’t delve into the frequency or intensity of those behaviors.

Ordinal data

Ordinal data introduces a sense of order, ranking preferences or satisfaction levels. In qualitative analysis, it’s particularly useful for understanding how consumers prioritize features or products, giving researchers a clearer picture of market trends.

Other examples of qualitative data analyses that use ordinal data, are for instance a study on consumer preferences for coffee flavors, participants might rank flavors in order of preference, providing insights into flavor trends. You can also get ordinal data from focus groups on things like customer satisfaction surveys or app usability, by asking users to rate their ease of use or happiness on an ordinal scale.

Ordinal data is great for:

• Ranking preferences : asking participants to rank product features from most to least important.
• Measuring satisfaction levels : using scales like “very satisfied,” “satisfied,” “neutral,” “dissatisfied,” “very dissatisfied.”
• Assessing Agreement : with statements on a scale from “strongly agree” to “strongly disagree.”

Ordinal data is not for:

• Quantifying differences : it doesn’t show how much more one rank is preferred over another, just the order.
• Precise measurements : can’t specify the exact degree of satisfaction or agreement, only relative positions.

This mix of qualitative and quantitative data will give you a well-rounded view of participant attitudes and preferences.

The things you can do with qualitative data are endless. But this article shouldn’t turn into a work of literature, so we’ll highlight six ways to collect qualitative data and give you examples of how to use these qualitative research methods to get actionable results.

How to get qual insights with Attest

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1. Highlighting brand loyalty drivers with open-ended surveys and questionnaires

Open-ended surveys and questionnaires are great at finding out what makes customers choose and stick with a brand. Here’s why this qualitative data analysis tool is so good for gathering qualitative data on things like brand loyalty and customer experience:

Straight from the source

Open-ended survey responses show the actual thoughts and feelings of your target audience in their own words, while still giving you structure in your data analysis.

Understanding ‘why’

Numbers can show us how many customers are loyal; open-ended survey responses explain why they are. You can also easily add thematic analysis to the mix by counting certain keywords or phrases.

Guiding decisions

The insights from these surveys can help a brand decide where to focus its efforts, from making sure their marketing highlights what customers love most to improving parts of their product.

Surveys are one of the most versatile and efficient qualitative data collection methods out there. We want to bring the power of qualitative data analysis to every business and make it easy to gather qualitative data from the people who matter most to your brand. Check out our survey templates to hit the ground running. And you’re not limited to textual data as your only data source — we also enable you to gather video responses to get additional context from non verbal cues and more.

2. Trend identification with observation notes

Observation notes are a powerful qualitative data analysis tool for spotting trends as they naturally unfold in real-world settings. Here’s why they’re particularly valuable insights and effective for identifying new trends:

Real behavior

Observing people directly shows us how they actually interact with products or services, not just how they say they do. This can highlight emerging trends in consumer behavior or preferences before people can even put into words what they are doing and why.

Immediate insights

By watching how people engage with different products, we can quickly spot patterns or changes in behavior. This immediate feedback is invaluable for catching trends as they start.

Context matters

Observations give you context. You can see not just what people do, but where and how they do it. This context can be key to understanding why a trend is taking off.

Unprompted reactions

Since people don’t know they’re being observed for these purposes, their actions are genuine. This leads to authentic insights about what’s really catching on.

3. Understanding consumer sentiments through semi-structured interviews

Semi-structured interviews for qualitative data analysis are an effective method for data analysts to get a deep understanding of consumer sentiments. It provides a structured yet flexible approach to gather in-depth insights. Here’s why they’re particularly useful for this type of research question:

Personal connection

These interviews create a space for a real conversation, allowing consumers to share their feelings, experiences, and opinions about a brand or product in a more personal setting.

Flexibility

The format lets the interviewer explore interesting points that come up during the conversation, diving deeper into unexpected areas of discussion. This flexibility uncovers richer insights than strictly structured interviews.

Depth of understanding

By engaging in detailed discussions, brands can understand not just what consumers think but why they think that way and what stations their train of thought passes by.

Structure and surprise

Semi-structured interviews can be tailored to explore specific areas of interest while still allowing for new insights to emerge.

4. Using focus groups for informing market entry strategies

Using a focus group to inform market entry strategies provides a dynamic way to discover your potential customers’ needs, preferences, and perceptions before launching a product or entering a new market. Here’s how focus groups can be particularly effective for this kind of research goal:

Real conversations

Focus groups allow for real-time, interactive discussions, giving you a front-row seat to hear what your potential customers think and feel about your product or service idea.

Diverse Perspectives

By bringing together people from various backgrounds, a focus group can offer a wide range of views and insights, highlighting different consumer needs and contextual information that you might miss out on in a survey.

Spotting opportunities and challenges

The dynamic nature of focus groups can help uncover unique market opportunities or potential challenges that might not be evident through other research methods, like cultural nuances.

Testing ideas

A focus group is a great way to test and compare reactions to different market entry strategies, from pricing models to distribution channels, providing clear direction on what approach might work best.

5. Case studies to gain a nuanced understanding of consumers on a broad level

Case studies in qualitative research zoom in on specific stories from customers or groups using a product or service, great for gaining a nuanced understanding of consumers at a broad level. Here’s why case studies are a particularly effective qualitative data analysis tool for this type of research goal:

In-depth analysis

Case studies can provide a 360-degree look at the consumer experience, from initial awareness to post-purchase feelings.

This depth of insight reveals not just what consumers do, but why they do it, uncovering motivations, influences, and decision-making processes.

Longitudinal insight

Case studies can track changes in consumer behavior or satisfaction over time, offering a dynamic view of how perceptions evolve.

This longitudinal perspective is crucial for giving context to the lifecycle of consumer engagement with a brand.

Storytelling power

The narrative nature of case studies — when done right — makes them powerful tools for communicating complex consumer insights in an accessible and engaging way, which can be especially useful for internal strategy discussions or external marketing communications.

6. Driving product development with diary studies

Diary studies are a unique qualitative research method that involves participants recording their thoughts, experiences, or behaviors over a period of time, related to using a product or service. This qualitative data analysis method is especially valuable for driving product development for several reasons:

Real-time insights

Diary studies capture real-time user experiences and feedback as they interact with a product in their daily lives.

This ongoing documentation provides a raw, unfiltered view of how a product fits into the user’s routine, highlighting usability issues or unmet needs that might not be captured in a one-time survey or interview.

Realistic user journey mapping

By analyzing diary entries, you can map out the entire user journey, identifying critical touch points where users feel delighted, frustrated, or indifferent.

This then enables you to implement targeted improvements and innovations at the moments that matter most.

Identifying patterns

Over the course of a diary study, patterns in behavior, preferences, and challenges can emerge, which is great for thematic analysis.

It can guide product developers to prioritize features or fixes that will have the most significant impact on user satisfaction, which is especially great if they don’t know what areas to focus on first.

Qualitative research brings your consumers’ voices directly to your strategy table. The examples we’ve explored show how qualitative data analysis methods like surveys, interviews, and case studies illuminate the ‘why’ behind consumer choices, guiding more informed decisions. Using these insights means crafting products and messages that resonate deeply, ensuring your brand not only meets but exceeds consumer expectations.

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Home Market Research

Qualitative Research Methods: Types, Analysis + Examples

Qualitative research is based on the disciplines of social sciences like psychology, sociology, and anthropology. Therefore, the qualitative research methods allow for in-depth and further probing and questioning of respondents based on their responses. The interviewer/researcher also tries to understand their motivation and feelings. Understanding how your audience makes decisions can help derive conclusions in market research.

What is qualitative research?

Qualitative research is defined as a market research method that focuses on obtaining data through open-ended and conversational communication .

This method is about “what” people think and “why” they think so. For example, consider a convenience store looking to improve its patronage. A systematic observation concludes that more men are visiting this store. One good method to determine why women were not visiting the store is conducting an in-depth interview method with potential customers.

For example, after successfully interviewing female customers and visiting nearby stores and malls, the researchers selected participants through random sampling . As a result, it was discovered that the store didn’t have enough items for women.

So fewer women were visiting the store, which was understood only by personally interacting with them and understanding why they didn’t visit the store because there were more male products than female ones.

Gather research insights

Types of qualitative research methods with examples

Qualitative research methods are designed in a manner that helps reveal the behavior and perception of a target audience with reference to a particular topic. There are different types of qualitative research methods, such as in-depth interviews, focus groups, ethnographic research, content analysis, and case study research that are usually used.

The results of qualitative methods are more descriptive, and the inferences can be drawn quite easily from the obtained data .

Qualitative research methods originated in the social and behavioral research sciences. Today, our world is more complicated, and it is difficult to understand what people think and perceive. Online research methods make it easier to understand that as it is a more communicative and descriptive analysis .

The following are the qualitative research methods that are frequently used. Also, read about qualitative research examples :

1. One-on-one interview

Conducting in-depth interviews is one of the most common qualitative research methods. It is a personal interview that is carried out with one respondent at a time. This is purely a conversational method and invites opportunities to get details in depth from the respondent.

One of the advantages of this method is that it provides a great opportunity to gather precise data about what people believe and their motivations . If the researcher is well experienced, asking the right questions can help him/her collect meaningful data. If they should need more information, the researchers should ask such follow-up questions that will help them collect more information.

These interviews can be performed face-to-face or on the phone and usually can last between half an hour to two hours or even more. When the in-depth interview is conducted face to face, it gives a better opportunity to read the respondents’ body language and match the responses.

2. Focus groups

A focus group is also a commonly used qualitative research method used in data collection. A focus group usually includes a limited number of respondents (6-10) from within your target market.

The main aim of the focus group is to find answers to the “why, ” “what,” and “how” questions. One advantage of focus groups is you don’t necessarily need to interact with the group in person. Nowadays, focus groups can be sent an online survey on various devices, and responses can be collected at the click of a button.

Focus groups are an expensive method as compared to other online qualitative research methods. Typically, they are used to explain complex processes. This method is very useful for market research on new products and testing new concepts.

3. Ethnographic research

Ethnographic research is the most in-depth observational research method that studies people in their naturally occurring environment.

This method requires the researchers to adapt to the target audiences’ environments, which could be anywhere from an organization to a city or any remote location. Here, geographical constraints can be an issue while collecting data.

This research design aims to understand the cultures, challenges, motivations, and settings that occur. Instead of relying on interviews and discussions, you experience the natural settings firsthand.

This type of research method can last from a few days to a few years, as it involves in-depth observation and collecting data on those grounds. It’s a challenging and time-consuming method and solely depends on the researcher’s expertise to analyze, observe, and infer the data.

4. Case study research

T he case study method has evolved over the past few years and developed into a valuable quality research method. As the name suggests, it is used for explaining an organization or an entity.

This type of research method is used within a number of areas like education, social sciences, and similar. This method may look difficult to operate; however , it is one of the simplest ways of conducting research as it involves a deep dive and thorough understanding of the data collection methods and inferring the data.

5. Record keeping

This method makes use of the already existing reliable documents and similar sources of information as the data source. This data can be used in new research. This is similar to going to a library. There, one can go over books and other reference material to collect relevant data that can likely be used in the research.

6. Process of observation

Qualitative Observation is a process of research that uses subjective methodologies to gather systematic information or data. Since the focus on qualitative observation is the research process of using subjective methodologies to gather information or data. Qualitative observation is primarily used to equate quality differences.

Qualitative observation deals with the 5 major sensory organs and their functioning – sight, smell, touch, taste, and hearing. This doesn’t involve measurements or numbers but instead characteristics.

Explore Insightfully Contextual Inquiry in Qualitative Research

Qualitative research: data collection and analysis

A. qualitative data collection.

Qualitative data collection allows collecting data that is non-numeric and helps us to explore how decisions are made and provide us with detailed insight. For reaching such conclusions the data that is collected should be holistic, rich, and nuanced and findings to emerge through careful analysis.

• Whatever method a researcher chooses for collecting qualitative data, one aspect is very clear the process will generate a large amount of data. In addition to the variety of methods available, there are also different methods of collecting and recording the data.

For example, if the qualitative data is collected through a focus group or one-to-one discussion, there will be handwritten notes or video recorded tapes. If there are recording they should be transcribed and before the process of data analysis can begin.

• As a rough guide, it can take a seasoned researcher 8-10 hours to transcribe the recordings of an interview, which can generate roughly 20-30 pages of dialogues. Many researchers also like to maintain separate folders to maintain the recording collected from the different focus group. This helps them compartmentalize the data collected.
• In case there are running notes taken, which are also known as field notes, they are helpful in maintaining comments, environmental contexts, environmental analysis , nonverbal cues etc. These filed notes are helpful and can be compared while transcribing audio recorded data. Such notes are usually informal but should be secured in a similar manner as the video recordings or the audio tapes.

B. Qualitative data analysis

Qualitative data analysis such as notes, videos, audio recordings images, and text documents. One of the most used methods for qualitative data analysis is text analysis.

Text analysis is a  data analysis method that is distinctly different from all other qualitative research methods, where researchers analyze the social life of the participants in the research study and decode the words, actions, etc. 

There are images also that are used in this research study and the researchers analyze the context in which the images are used and draw inferences from them. In the last decade, text analysis through what is shared on social media platforms has gained supreme popularity.

Characteristics of qualitative research methods

• Qualitative research methods usually collect data at the sight, where the participants are experiencing issues or research problems . These are real-time data and rarely bring the participants out of the geographic locations to collect information.
• Qualitative researchers typically gather multiple forms of data, such as interviews, observations, and documents, rather than rely on a single data source .
• This type of research method works towards solving complex issues by breaking down into meaningful inferences, that is easily readable and understood by all.
• Since it’s a more communicative method, people can build their trust on the researcher and the information thus obtained is raw and unadulterated.

Qualitative research method case study

Let’s take the example of a bookstore owner who is looking for ways to improve their sales and customer outreach. An online community of members who were loyal patrons of the bookstore were interviewed and related questions were asked and the questions were answered by them.

At the end of the interview, it was realized that most of the books in the stores were suitable for adults and there were not enough options for children or teenagers.

By conducting this qualitative research the bookstore owner realized what the shortcomings were and what were the feelings of the readers. Through this research now the bookstore owner can now keep books for different age categories and can improve his sales and customer outreach.

Such qualitative research method examples can serve as the basis to indulge in further quantitative research , which provides remedies.

When to use qualitative research

Researchers make use of qualitative research techniques when they need to capture accurate, in-depth insights. It is very useful to capture “factual data”. Here are some examples of when to use qualitative research.

• Developing a new product or generating an idea.
• Studying your product/brand or service to strengthen your marketing strategy.
• To understand your strengths and weaknesses.
• Understanding purchase behavior.
• To study the reactions of your audience to marketing campaigns and other communications.
• Exploring market demographics, segments, and customer care groups.
• Gathering perception data of a brand, company, or product.

LEARN ABOUT: Steps in Qualitative Research

Qualitative research methods vs quantitative research methods

The basic differences between qualitative research methods and quantitative research methods are simple and straightforward. They differ in:

• Their analytical objectives
• Types of questions asked
• Types of data collection instruments
• Forms of data they produce
• Degree of flexibility

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Qualitative Research Definition

Qualitative research methods and examples, advantages and disadvantages of qualitative approaches, qualitative vs. quantitative research, showing qualitative research skills on resumes, what is qualitative research methods and examples.

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Table of Contents

Qualitative research seeks to understand people’s experiences and perspectives by studying social organizations and human behavior. Data in qualitative studies focuses on people’s beliefs and emotional responses. Qualitative data is especially helpful when a company wants to know how customers feel about a product or service, such as in user experience (UX) design or marketing . 

Researchers use qualitative approaches to “determine answers to research questions on human behavior and the cultural values that drive our thinking and behavior,” says Margaret J. King, director at The Center for Cultural Studies & Analysis in Philadelphia.

Data in qualitative research typically can’t be assessed mathematically — the data is not sets of numbers or quantifiable information. Rather, it’s collections of images, words, notes on behaviors, descriptions of emotions, and historical context. Data is collected through observations, interviews, surveys, focus groups, and secondary research. 

However, a qualitative study needs a “clear research question at its base,” notes King, and the research needs to be “observed, categorized, compared, and evaluated (along a scale or by a typology chart) by reference to a baseline in order to determine an outcome with value as new and reliable information.”

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Who Uses Qualitative Research?

Researchers in social sciences and humanities often use qualitative research methods, especially in specific areas of study like anthropology, history, education, and sociology. 

Qualitative methods are also applicable in business, technology , and marketing spaces. For example, product managers use qualitative research to understand how target audiences respond to their products. They may use focus groups to gain insights from potential customers on product prototypes and improvements or surveys from existing customers to understand what changes users want to see. 

Other careers that may involve qualitative research include: 

• Marketing analyst
• UX and UI analyst
• Market researcher
• Statistician
• Business analyst
• Data analyst
• Research assistant
• Claims investigator

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Good research begins with a question, and this question informs the approach used by qualitative researchers. 

Grounded Theory

Grounded theory is an inductive approach to theory development. In many forms of research, you begin with a hypothesis and then test it to see if you’re correct. In grounded theory, though, you go in without any assumptions and rely on the data you collect to form theories. You start with an open question about a phenomenon you are studying and collect and analyze data until you can form a fully-fledged theory from the information. 

Example: A company wants to improve its brand and marketing strategies. The company performs a grounded theory approach to solving this problem by conducting interviews and surveys with past, current, and prospective customers. The information gathered from these methods helps the company understand what type of branding and marketing their customer-base likes and dislikes, allowing the team to inductively craft a new brand and marketing strategy from the data. 

Action Research

Action research is one part study and one part problem-solving . Through action research, analysts investigate a problem or weakness and develop practical solutions. The process of action research is cyclical —- researchers assess solutions for efficiency and effectiveness, and create further solutions to correct any issues found. 

Example: A manager notices her employees struggle to cooperate on group projects. She carefully reviews how team members interact with each other and asks them all to respond to a survey about communication. Through the survey and study, she finds that guidelines for group projects are unclear. After changing the guidelines, she reviews her team again to see if there are any changes to their behavior.  

>>MORE: Explore how action research helps consultants serve clients with Accenture’s Client Research and Problem Identification job simulation .

Phenomenological Research

Phenomenological research investigates a phenomenon in depth, looking at people’s experiences and understanding of the situation. This sort of study is primarily descriptive and seeks to broaden understanding around a specific incident and the people involved. Researchers in phenomenological studies must be careful to set aside any biases or assumptions because the information used should be entirely from the subjects themselves. 

Example : A researcher wants to better understand the lived experience of college students with jobs. The purpose of this research is to gain insights into the pressures of college students who balance studying and working at the same time. The researcher conducts a series of interviews with several college students, learning about their past and current situations. Through the first few interviews, the researcher builds a relationship with the students. Later discussions are more targeted, with questions prompting the students to discuss their emotions surrounding both work and school and the difficulties and benefits arising from their situation. The researcher then analyzes these interviews, and identifies shared themes to contextualize the experiences of the students.

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Ethnography

Ethnography is an immersive study of a particular culture or community. Through ethnographic research, analysts aim to learn about a group’s conventions, social dynamics, and cultural norms. Some researchers use active observation methods, finding ways to integrate themselves into the culture as much as possible. Others use passive observation, watching closely from the outside but not fully immersing themselves. 

Example: A company hires an external researcher to learn what their company’s culture is actually like. The researcher studies the social dynamics of the employees and may even look at how these employees interact with clients and with each other outside of the office. The goal is to deliver a comprehensive report of the company’s culture and the social dynamics of its employees.

Case Studies

A case study is a type of in-depth analysis of a situation. Case studies can focus on an organization, belief system, event, person, or action. The goal of a case study is to understand the phenomenon and put it in a real-world context. Case studies are also commonly used in marketing and sales to highlight the benefits of a company’s products or services. 

Example: A business performs a case study of its competitors’ strategies. This case study aims to show why the company should adopt a specific business strategy. The study looks at each competitor’s business structure, marketing campaigns, product offerings, and historical growth trends. Then, using this data on other businesses, the researcher can theorize how that strategy would benefit their company.

>>MORE: Learn how companies use case study interviews to assess candidates’ research and problem-solving skills. 

Qualitative research methods are great for generating new ideas. The exploratory nature of qualitative research means uncovering unexpected information, which often leads to new theories and further research topics. Additionally, qualitative findings feel meaningful. These studies focus on people, emotions, and societies and may feel closer to their communities than quantitative research that relies on more mathematical and logical data. 

However, qualitative research can be unreliable at times. It’s difficult to replicate qualitative studies since people’s opinions and emotions can change quickly. For example, a focus group has a lot of variables that can affect the outcome, and that same group, asked the same questions a year later, may have entirely different responses. The data collection can also be difficult and time-consuming with qualitative research. Ultimately, interviewing people, reviewing surveys, and understanding and explaining human emotions can be incredibly complex.

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While qualitative research deals with data that isn’t easily manipulated by mathematics, quantitative research almost exclusively involves numbers and numerical data. Quantitative studies aim to find concrete details, like units of time, percentages, or statistics. 

Besides the types of data used, a core difference between quantitative and qualitative research is the idea of control and replication. 

“Qualitative is less subject to control (as in lab studies) and, therefore, less statistically measurable than quantitative approaches,” says King.

One person’s interview about a specific topic can have completely different responses than every other person’s interview since there are so many variables in qualitative research. On the other hand, quantitative studies can often be replicated. For instance, when testing the effects of a new medication, quantifiable data, like blood test results, can be repeated. Qualitative data, though, like how people feel about the medication, may differ from person to person and from moment to moment.

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You can show your experience with qualitative research on your resume in your skills or work experience sections and your cover letter . 

• In your skills section , you can list types of qualitative research you are skilled at, like conducting interviews, performing grounded theory research, or crafting case studies. 
• In your work or internship experience descriptions , you can highlight specific examples, like talking about a time you used action research to solve a complex issue at your last job. 
• In your cover letter , you can discuss in-depth qualitative research projects you’ve completed. For instance, say you spent a summer conducting ethnographic research or a whole semester running focus groups to get feedback on a product. You can talk about these experiences in your cover letter and note how these skills make you a great fit for the job. 

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• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on 4 April 2022 by Pritha Bhandari . Revised on 30 January 2023.

Qualitative research involves collecting and analysing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analysing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, and history.

• How does social media shape body image in teenagers?
• How do children and adults interpret healthy eating in the UK?
• What factors influence employee retention in a large organisation?
• How is anxiety experienced around the world?
• How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography, action research, phenomenological research, and narrative research. They share some similarities, but emphasise different aims and perspectives.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves ‘instruments’ in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analysing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organise your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorise your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analysing qualitative data. Although these methods share similar processes, they emphasise different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

Researchers must consider practical and theoretical limitations in analysing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analysing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalisability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalisable conclusions because the data may be biased and unrepresentative of the wider population .

• Labour-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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Pritha Bhandari

Qualitative research: methods and examples

Last updated

13 April 2023

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Qualitative research involves gathering and evaluating non-numerical information to comprehend concepts, perspectives, and experiences. It’s also helpful for obtaining in-depth insights into a certain subject or generating new research ideas. 

As a result, qualitative research is practical if you want to try anything new or produce new ideas.

There are various ways you can conduct qualitative research. In this article, you'll learn more about qualitative research methodologies, including when you should use them.

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• What is qualitative research?

Qualitative research is a broad term describing various research types that rely on asking open-ended questions. Qualitative research investigates “how” or “why” certain phenomena occur. It is about discovering the inherent nature of something.

The primary objective of qualitative research is to understand an individual's ideas, points of view, and feelings. In this way, collecting in-depth knowledge of a specific topic is possible. Knowing your audience's feelings about a particular subject is important for making reasonable research conclusions.

Unlike quantitative research , this approach does not involve collecting numerical, objective data for statistical analysis. Qualitative research is used extensively in education, sociology, health science, history, and anthropology.

• Types of qualitative research methodology

Typically, qualitative research aims at uncovering the attitudes and behavior of the target audience concerning a specific topic. For example,  “How would you describe your experience as a new Dovetail user?”

Some of the methods for conducting qualitative analysis include:

Focus groups

Hosting a focus group is a popular qualitative research method. It involves obtaining qualitative data from a limited sample of participants. In a moderated version of a focus group, the moderator asks participants a series of predefined questions. They aim to interact and build a group discussion that reveals their preferences, candid thoughts, and experiences.

Unmoderated, online focus groups are increasingly popular because they eliminate the need to interact with people face to face.

Focus groups can be more cost-effective than 1:1 interviews or studying a group in a natural setting and reporting one’s observations.

Focus groups make it possible to gather multiple points of view quickly and efficiently, making them an excellent choice for testing new concepts or conducting market research on a new product.

However, there are some potential drawbacks to this method. It may be unsuitable for sensitive or controversial topics. Participants might be reluctant to disclose their true feelings or respond falsely to conform to what they believe is the socially acceptable answer (known as response bias).

Case study research

A case study is an in-depth evaluation of a specific person, incident, organization, or society. This type of qualitative research has evolved into a broadly applied research method in education, law, business, and the social sciences.

Even though case study research may appear challenging to implement, it is one of the most direct research methods. It requires detailed analysis, broad-ranging data collection methodologies, and a degree of existing knowledge about the subject area under investigation.

Historical model

The historical approach is a distinct research method that deeply examines previous events to better understand the present and forecast future occurrences of the same phenomena. Its primary goal is to evaluate the impacts of history on the present and hence discover comparable patterns in the present to predict future outcomes.

Oral history

This qualitative data collection method involves gathering verbal testimonials from individuals about their personal experiences. It is widely used in historical disciplines to offer counterpoints to established historical facts and narratives. The most common methods of gathering oral history are audio recordings, analysis of auto-biographical text, videos, and interviews.

Qualitative observation

One of the most fundamental, oldest research methods, qualitative observation , is the process through which a researcher collects data using their senses of sight, smell, hearing, etc. It is used to observe the properties of the subject being studied. For example, “What does it look like?” As research methods go, it is subjective and depends on researchers’ first-hand experiences to obtain information, so it is prone to bias. However, it is an excellent way to start a broad line of inquiry like, “What is going on here?”

Record keeping and review

Record keeping uses existing documents and relevant data sources that can be employed for future studies. It is equivalent to visiting the library and going through publications or any other reference material to gather important facts that will likely be used in the research.

Grounded theory approach

The grounded theory approach is a commonly used research method employed across a variety of different studies. It offers a unique way to gather, interpret, and analyze. With this approach, data is gathered and analyzed simultaneously.  Existing analysis frames and codes are disregarded, and data is analyzed inductively, with new codes and frames generated from the research.

Ethnographic research

Ethnography  is a descriptive form of a qualitative study of people and their cultures. Its primary goal is to study people's behavior in their natural environment. This method necessitates that the researcher adapts to their target audience's setting. 

Thereby, you will be able to understand their motivation, lifestyle, ambitions, traditions, and culture in situ. But, the researcher must be prepared to deal with geographical constraints while collecting data i.e., audiences can’t be studied in a laboratory or research facility.

This study can last from a couple of days to several years. Thus, it is time-consuming and complicated, requiring you to have both the time to gather the relevant data as well as the expertise in analyzing, observing, and interpreting data to draw meaningful conclusions.

Narrative framework

A narrative framework is a qualitative research approach that relies on people's written text or visual images. It entails people analyzing these events or narratives to determine certain topics or issues. With this approach, you can understand how people represent themselves and their experiences to a larger audience.

Phenomenological approach

The phenomenological study seeks to investigate the experiences of a particular phenomenon within a group of individuals or communities. It analyzes a certain event through interviews with persons who have witnessed it to determine the connections between their views. Even though this method relies heavily on interviews, other data sources (recorded notes), and observations could be employed to enhance the findings.

• Qualitative research methods (tools)

Some of the instruments involved in qualitative research include:

Document research: Also known as document analysis because it involves evaluating written documents. These can include personal and non-personal materials like archives, policy publications, yearly reports, diaries, or letters.

Focus groups:  This is where a researcher poses questions and generates conversation among a group of people. The major goal of focus groups is to examine participants' experiences and knowledge, including research into how and why individuals act in various ways.

Secondary study: Involves acquiring existing information from texts, images, audio, or video recordings.

Observations:   This requires thorough field notes on everything you see, hear, or experience. Compared to reported conduct or opinion, this study method can assist you in getting insights into a specific situation and observable behaviors.

Structured interviews :  In this approach, you will directly engage people one-on-one. Interviews are ideal for learning about a person's subjective beliefs, motivations, and encounters.

Surveys:  This is when you distribute questionnaires containing open-ended questions

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• What are common examples of qualitative research?

Everyday examples of qualitative research include:

Conducting a demographic analysis of a business

For instance, suppose you own a business such as a grocery store (or any store) and believe it caters to a broad customer base, but after conducting a demographic analysis, you discover that most of your customers are men.

You could do 1:1 interviews with female customers to learn why they don't shop at your store.

In this case, interviewing potential female customers should clarify why they don't find your shop appealing. It could be because of the products you sell or a need for greater brand awareness, among other possible reasons.

Launching or testing a new product

Suppose you are the product manager at a SaaS company looking to introduce a new product. Focus groups can be an excellent way to determine whether your product is marketable.

In this instance, you could hold a focus group with a sample group drawn from your intended audience. The group will explore the product based on its new features while you ensure adequate data on how users react to the new features. The data you collect will be key to making sales and marketing decisions.

Conducting studies to explain buyers' behaviors

You can also use qualitative research to understand existing buyer behavior better. Marketers analyze historical information linked to their businesses and industries to see when purchasers buy more.

Qualitative research can help you determine when to target new clients and peak seasons to boost sales by investigating the reason behind these behaviors.

• Qualitative research: data collection

Data collection is gathering information on predetermined variables to gain appropriate answers, test hypotheses, and analyze results. Researchers will collect non-numerical data for qualitative data collection to obtain detailed explanations and draw conclusions.

To get valid findings and achieve a conclusion in qualitative research, researchers must collect comprehensive and multifaceted data.

Qualitative data is usually gathered through interviews or focus groups with videotapes or handwritten notes. If there are recordings, they are transcribed before the data analysis process. Researchers keep separate folders for the recordings acquired from each focus group when collecting qualitative research data to categorize the data.

• Qualitative research: data analysis

Qualitative data analysis is organizing, examining, and interpreting qualitative data. Its main objective is identifying trends and patterns, responding to research questions, and recommending actions based on the findings. Textual analysis is a popular method for analyzing qualitative data.

Textual analysis differs from other qualitative research approaches in that researchers consider the social circumstances of study participants to decode their words, behaviors, and broader meaning. 

Learn more about qualitative research data analysis software

• When to use qualitative research

Qualitative research is helpful in various situations, particularly when a researcher wants to capture accurate, in-depth insights. 

Here are some instances when qualitative research can be valuable:

Examining your product or service to improve your marketing approach

When researching market segments, demographics, and customer service teams

Identifying client language when you want to design a quantitative survey

When attempting to comprehend your or someone else's strengths and weaknesses

Assessing feelings and beliefs about societal and public policy matters

Collecting information about a business or product's perception

Analyzing your target audience's reactions to marketing efforts

When launching a new product or coming up with a new idea

When seeking to evaluate buyers' purchasing patterns

• Qualitative research methods vs. quantitative research methods

Qualitative research examines people's ideas and what influences their perception, whereas quantitative research draws conclusions based on numbers and measurements.

Qualitative research is descriptive, and its primary goal is to comprehensively understand people's attitudes, behaviors, and ideas.

In contrast, quantitative research is more restrictive because it relies on numerical data and analyzes statistical data to make decisions. This research method assists researchers in gaining an initial grasp of the subject, which deals with numbers. For instance, the number of customers likely to purchase your products or use your services.

What is the most important feature of qualitative research?

A distinguishing feature of qualitative research is that it’s conducted in a real-world setting instead of a simulated environment. The researcher is examining actual phenomena instead of experimenting with different variables to see what outcomes (data) might result.

Can I use qualitative and quantitative approaches together in a study?

Yes, combining qualitative and quantitative research approaches happens all the time and is known as mixed methods research. For example, you could study individuals’ perceived risk in a certain scenario, such as how people rate the safety or riskiness of a given neighborhood. Simultaneously, you could analyze historical data objectively, indicating how safe or dangerous that area has been in the last year. To get the most out of mixed-method research, it’s important to understand the pros and cons of each methodology, so you can create a thoughtfully designed study that will yield compelling results.

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Explore top qualitative research types and examples.

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Qualitative research types offer rich insights into human behaviors, motivations, and experiences. In exploring these methodologies, researchers can uncover nuanced perspectives that quantitative approaches may overlook. This section delves into various qualitative research types, illustrating their distinctive characteristics and applications.

By understanding these research types, stakeholders can select the most suitable methods for their objectives. From in-depth interviews to focus groups, each type serves a unique purpose in gathering data. This nuanced understanding not only enhances the research quality but also informs decision-making processes across various sectors.

Top Qualitative Research Types

Qualitative research types provide valuable insights through a variety of methods focused on understanding human behavior, emotions, and experiences. Among the most popular types are interviews, focus groups, ethnography, and case studies. Each method offers unique advantages in collecting data that reflects the subjective perspectives of participants.

In-depth interviews allow researchers to explore personal experiences and motivations, yielding rich qualitative data. Focus groups facilitate dynamic discussions and highlight collective opinions or trends among participants. Ethnography immerses researchers in the participants' environments, often revealing how context influences behavior. Finally, case studies focus on a specific instance or population, helping to gather detailed information that can inform broader conclusions. Understanding these qualitative research types is crucial for anyone looking to gain deeper insights into human behavior and societal trends.

Ethnography: Exploring Cultural Phenomena

Ethnography serves as a vital qualitative research type, delving deep into cultural phenomena. By immersing researchers in specific communities, it unveils the subtleties of social interactions and behaviors. This form of research not only captures the lived experiences of individuals but also highlights the broader cultural narratives at play. Ethnographers may conduct interviews, observe daily activities, and participate in community events, providing striking insights into cultural values and practices.

This method enriches our understanding of human experiences by revealing trends that survey data may overlook. It empowers researchers to explore topics such as identity, tradition, and social structures in authentic contexts. Ethnography, therefore, plays an essential role in qualitative research types, making it a powerful tool for uncovering the complexities of cultural dynamics. By appreciating these nuances, we can foster a deeper understanding of society and its diverse practices.

Phenomenology: Understanding Human Experiences

Phenomenology focuses on understanding human experiences by exploring how individuals perceive and make sense of their worlds. In qualitative research types, it emphasizes lived experiences, allowing researchers to delve deeply into individuals' subjective realities. This approach seeks to gather rich, detailed descriptions of experiences and identify common themes that resonate within these narratives.

When employing phenomenology, researchers often conduct in-depth interviews, facilitating open-ended conversations that encourage participants to share their feelings and thoughts. By analyzing these narratives, researchers can uncover underlying meanings and insights about specific phenomena. This qualitative research type not only enhances comprehension but also fosters empathy towards diverse human experiences, making it invaluable in fields like psychology, healthcare, and education. Through this approach, phenomenology enriches qualitative research, clarifying the complexities of human existence and behavior.

Examples of Qualitative Research Types in Practice

Qualitative research types are widely used to better understand people's experiences, behaviors, and emotions. One prominent method is in-depth interviews, where researchers engage participants in one-on-one discussions to gather rich, detailed insights. This approach allows the researcher to explore participants' feelings and motivations behind their actions, providing a deeper context than quantitative data alone.

Another common practice is focus groups, which facilitate dynamic discussions among a small group of individuals. This setting encourages participants to share ideas and opinions, often leading to revelations about group dynamics and collective preferences. Observational studies also play a crucial role; researchers directly observe subjects in natural settings to capture authentic behavior. These qualitative research types collectively enhance understanding of complex social phenomena, making them invaluable tools for exploring nuanced human experiences.

Ethnographic Study: Observing Social Interactions

Ethnographic study involves immersive research methods aimed at understanding social interactions within specific cultures or communities. Researchers typically observe participants in their natural environments, noting behaviors, rituals, and social dynamics over time. This approach helps uncover nuanced insights that quantitative methods might overlook.

One key element involves participant observation, where researchers engage with subjects to gain deeper insights into their experiences and perspectives. Another crucial aspect is in-depth interviews, allowing researchers to capture personal narratives and contextual stories that enrich the data. Moreover, annotating environmental factors, like the setting and community dynamics, enables a comprehensive understanding of social interactions. Ultimately, through these qualitative research types, ethnographic studies reveal complex layers of meaning within social contexts, offering invaluable insights for various fields, including anthropology, sociology, and market research.

Phenomenological Study: Investigating Lived Experiences

Phenomenological studies focus on exploring the lived experiences of individuals, aiming to understand how they interpret their reality. This qualitative research type is grounded in the belief that personal experiences shape human perception and understanding. By engaging with participants through in-depth interviews, researchers can delve into the subjective meanings assigned to different experiences, such as health challenges, educational journeys, or traumatic events.

The process involves multiple steps, including selecting participants, designing open-ended questions, and analyzing responses for thematic patterns. Each participant's unique perspective contributes to the richness of the data collected. This method enables researchers to gain profound insights into how individuals navigate and make sense of their world, ultimately informing broader implications for practices, policies, and community understanding. Through such interpretations, phenomenological studies illuminate the essence of human experiences, contributing significantly to qualitative research types.

Conclusion: The Importance of Qualitative Research Types

Qualitative research types play a pivotal role in understanding human behavior, emotions, and reactions. By embracing methods such as interviews, focus groups, and observations, researchers can gather deep insights that are often overlooked in quantitative studies. These qualitative insights aid in uncovering motivations and pain points, leading to more targeted solutions for real-world problems.

Moreover, the diversity of qualitative research approaches allows for a comprehensive view of complex issues. This breadth enables researchers to adapt their methods to suit specific contexts, ensuring that the data collected is both relevant and actionable. In conclusion, qualitative research types are indispensable for obtaining meaningful insights that foster innovation and improve decision-making across various fields.

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From Idea to Insight: A 7-Step Market Research Guide

• by Alice Ananian
• September 4, 2024

In today’s fast-paced business world, guesswork is a luxury no one can afford. Enter market research: your secret weapon for making bold, informed decisions that propel your business forward. Whether you’re an ambitious entrepreneur, a savvy small business owner, or a cutting-edge marketing professional, mastering the market research process is the key to unlocking unprecedented growth and staying ahead of the competition.

Ready to transform raw data into golden opportunities? This guide will walk you through seven essential steps that turn the complex art of market research into a streamlined, powerful tool for success. From defining laser-focused objectives to leveraging cutting-edge AI analysis, you’re about to embark on a journey that will reshape how you understand your market, your customers, and your business potential.

The 7-Step Market Research Process: An Overview

Before diving into the details, let’s take a quick look at the seven steps that comprise an effective market research process:

• Define Your Research Objectives
• Develop Your Research Plan
• Collect Relevant Data
• Analyze and Interpret the Data
• Present Your Findings
• Make Informed Decisions
• Monitor and Iterate

Following this structured approach ensures that your market research is comprehensive, focused, and yields valuable insights. It’s worth noting that modern tools, such as AI-powered market research platforms like Prelaunch.com’s AI Market Research feature , can significantly streamline this process, making it more efficient and accessible for businesses of all sizes.

Now, let’s explore each step in detail.

Step 1: Define Your Research Objectives

The first and perhaps most crucial step in the market research process is defining your research objectives. This step sets the foundation for your entire research effort and ensures that you’re asking the right questions to get the information you need.

Identifying the problem or opportunity

Start by clearly articulating the business problem you’re trying to solve or the opportunity you’re looking to explore. Are you considering launching a new product? Trying to understand why sales are declining? Or perhaps you’re looking to enter a new market? Clearly defining the issue at hand will help focus your research efforts.

Setting clear, measurable goals

Once you’ve identified the problem or opportunity, set specific, measurable, achievable, relevant, and time-bound (SMART) goals for your research. For example, instead of a vague goal like “understand customer preferences,” you might set a goal to “identify the top three features that 70% of our target market considers essential in a new product within the next two months.”

Formulating research questions

Based on your goals, develop a set of research questions that will guide your data collection efforts. These questions should be specific and directly related to your objectives. For instance, if your goal is to understand customer preferences, you might ask questions like:

• What features do customers value most in similar products?
• How much are customers willing to pay for these features?
• What unmet needs exist in the current market?

By clearly defining your research objectives, you’ll ensure that your market research efforts are focused and yield the insights you need to make informed business decisions.

Step 2: Develop Your Research Plan

With your objectives clearly defined, the next step is to develop a comprehensive research plan. This plan will serve as your roadmap, outlining how you’ll gather the information needed to answer your research questions.

Choosing research methodologies

Decide whether qualitative research, quantitative research, or a combination of both will best serve your objectives:

• Qualitative research : This method explores the “why” and “how” of consumer behavior through in-depth interviews, focus groups, or observational studies. It’s excellent for gaining deep insights into customer motivations and perceptions.
• Quantitative research : This approach focuses on numerical data and statistical analysis. Surveys and polls are common quantitative methods that can provide measurable data on consumer preferences and behaviors.

Often, a mixed-method approach combining both qualitative and quantitative research can provide the most comprehensive insights.

Determining your target audience

Identify the specific group of people from whom you need to gather information. This could be based on demographics, psychographics, or behavioral characteristics. The more precisely you define your target audience, the more relevant and valuable your research findings will be.

Selecting appropriate data collection methods

Choose the most suitable methods for collecting data from your target audience. Some options include:

• Surveys (online, phone, or in-person)
• Interviews (structured or unstructured)
• Focus groups
• Observational studies
• Secondary data analysis

Consider factors such as cost, time constraints, and the type of information you need when selecting your methods. AI-powered tools like Prelaunch.com’s AI Market Research feature can be particularly helpful in this stage, offering efficient ways to gather and analyze data from various sources.

By developing a thorough research plan, you’ll ensure that your data collection efforts are efficient, targeted, and aligned with your research objectives.

Step 3: Collect Relevant Data

With your research plan in place, it’s time to gather the data that will form the basis of your insights. This step involves implementing the data collection methods you’ve chosen and ensuring that you’re gathering high-quality, relevant information.

Primary research methods

Primary research involves collecting original data directly from your target audience. This can include:

• Conducting surveys: Use online platforms, email, or in-person methods to gather quantitative data from a large sample of your target audience.
• Performing interviews: Engage in one-on-one conversations with key individuals to gain in-depth qualitative insights.
• Organizing focus groups : Bring together small groups of people to discuss your research topics in a moderated setting.
• Observational studies: Watch and record how people interact with products or services in real-world settings.

Secondary research sources

Secondary research involves analyzing existing data from various sources. This can be a cost-effective way to gather background information and supplement your primary research. Sources may include:

• Industry reports and market studies
• Government databases and publications
• Academic research papers
• Competitor websites and annual reports
• Trade association publications

Leveraging AI for efficient data collection

Modern AI-powered tools can significantly enhance your data collection efforts. These tools can:

• Automate the process of gathering and organizing secondary research data
• Analyze large datasets quickly to identify trends and patterns
• Generate survey questions based on your research objectives
• Provide real-time insights as data is collected

By leveraging both traditional methods and advanced AI tools, you can ensure that you’re collecting a comprehensive and diverse set of data to inform your market research.

Step 4: Analyze and Interpret the Data

Once you’ve collected your data, the next crucial step is to analyze and interpret it. This process involves transforming raw data into actionable insights that can guide your business decisions.

Data cleaning and preparation

Before analysis can begin, it’s essential to clean and prepare your data:

• Remove any duplicate or irrelevant entries
• Check for and correct any errors or inconsistencies
• Standardize data formats for easier analysis
• Organize data into a structure that facilitates analysis

Statistical analysis techniques

Depending on the type of data you’ve collected and your research objectives, you may employ various statistical analysis techniques :

• Descriptive statistics: Calculate means, medians, modes, and standard deviations to summarize your data.
• Inferential statistics: Use techniques like hypothesis testing and regression analysis to draw conclusions about larger populations based on your sample data.
• Correlation analysis: Identify relationships between different variables in your dataset.
• Segmentation analysis: Group your data into meaningful segments based on shared characteristics.

Identifying patterns and trends

As you analyze your data, look for patterns, trends, and insights that address your research objectives:

• Compare results across different demographic groups or market segments
• Identify common themes in qualitative data
• Look for unexpected or surprising findings that challenge your assumptions
• Consider how different data points relate to each other and what story they tell together

Remember that the goal of this step is not just to summarize data, but to derive meaningful insights that can inform your business strategy. Be open to unexpected findings and be prepared to dig deeper into areas that seem particularly relevant or intriguing.

Step 5: Present Your Findings

After analyzing your data, it’s time to communicate your findings effectively to stakeholders. The way you present your research can significantly impact how it’s received and acted upon.

Creating clear and visually appealing reports

• Organize your findings logically, starting with an executive summary of key insights
• Use charts, graphs, and infographics to visualize data and make it easier to understand
• Include relevant quotes or case studies from qualitative research to bring your data to life
• Ensure your report is well-structured with clear headings and subheadings

Tailoring presentations to different stakeholders

• Consider the specific interests and needs of your audience (e.g., executives, marketing team, product developers)
• Adjust the level of detail and technical language based on your audience’s expertise
• Focus on the findings most relevant to each stakeholder group

Highlighting key insights and actionable recommendations

• Clearly state the main takeaways from your research
• Connect your findings directly to your initial research objectives
• Provide specific, actionable recommendations based on your insights
• Include potential implications of your findings for different areas of the business

Remember, the goal is not just to share information, but to tell a compelling story with your data that motivates action and informs strategy.

Step 6: Make Informed Decisions

The true value of market research lies in its ability to inform better business decisions. This step is where you translate your research findings into strategic action.

Connecting research findings to business objectives

• Revisit your initial research objectives and evaluate how your findings address them
• Identify which insights are most critical for achieving your business goals
• Consider both the opportunities and potential risks highlighted by your research

Assessing risks and opportunities

• Use your research to evaluate the potential success of new products, services, or marketing strategies
• Identify potential obstacles or challenges that your research has uncovered
• Consider how your findings might impact different scenarios or future market conditions

Developing data-driven strategies

• Create action plans based on your research insights
• Set specific, measurable goals for implementing changes or new initiatives
• Assign responsibilities and timelines for acting on your research findings
• Ensure that all strategic decisions are directly supported by your research data

Remember that while your research should guide your decisions, it’s also important to balance data with experience, intuition, and other business considerations.

Step 7: Monitor and Iterate

The market research process doesn’t end with implementation. Continuous monitoring and iteration are crucial for long-term success.

Implementing decisions based on research

• Put your data-driven strategies into action
• Ensure that all team members understand the research findings and their role in implementing changes

Tracking results and KPIs

• Set up systems to monitor the impact of your decisions
• Track relevant key performance indicators (KPIs) that align with your research objectives
• Regularly review performance against your goals and expectations

Conducting follow-up research for continuous improvement

• Plan for periodic follow-up research to assess the effectiveness of your strategies
• Be prepared to adjust your approach based on new data and changing market conditions
• Consider implementing ongoing research methods, such as customer feedback loops or regular market surveys

By viewing market research as an ongoing process rather than a one-time event, you can ensure that your business remains agile and responsive to market changes.

Mastering the market research process is essential for making informed business decisions in today’s competitive landscape. By following these 7 steps – defining objectives, developing a plan, collecting data, analyzing results, presenting findings, making decisions, and monitoring outcomes – you can gain valuable insights that drive business growth and innovation.

As markets evolve and consumer preferences change, ongoing market research will be key to staying ahead. Embrace this process as a fundamental part of your business strategy, and you’ll be well-equipped to make decisions that resonate with your target audience and drive your business forward.

Alice Ananian

Alice has over 8 years experience as a strong communicator and creative thinker. She enjoys helping companies refine their branding, deepen their values, and reach their intended audiences through language.

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Market Research Plan

In 1970, food and drink sales of the  US restaurant industry  reached only 42.8 billion US dollars, which is way behind the 745.61 billion US dollar sales of 2015. According to the statistic posted in statista, this number should grow in the next few years. In fact, the website reported that from the 2015’s over 14 million employees of the restaurant industry, it should increase up to 16 million in 2026. However, as a result of this growth, there will be possibilities that the market will be saturated and more competitive. Thus, as a business owner, you will need to gear up and gain an edge to stand out in the market. By conducting market research for a restaurant, you can prepare your business to become more competitive and strategic, which will ensure its success.

What Do You Need to Know About Market Research?

Market research is an essential component of a business plan which aims to get information concerning the target market of a business. Through this study, you will determine the chances of a proposed service or new product to survive in the market. As part of market research, you need to develop a research plan.

What is Market Research Plan?

In general, market research plan is the foundation of a detailed research proposal . This document contains the initial thoughts about the research project that you are planning to take place logically and concisely, which is a crucial content of market research. Simply put, by obtaining a market research plan, you can thoroughly examine how your product or service will proceed in a specific domain.

2+ Market Research Plan Examples

Conducting market research will give significant benefits to your business. However, to materialize it, you may need to ensure that you build your market research plan correctly. Below is a list of the market research plan samples and templates that you can use as a guide.

1. Market Research Plan Template

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2. Sample Market Research Plan Example

Size: 68 KB

3. Basic Market Research Plan Example

Size: 151 KB

4. Market Research Business Plan Example

Size: 600 KB

How to Develop a Strong Market Research Project Plan?

Now that you know how a marketing research plan should look, make a secure market research plan by following the steps below:

1. Set Goals and Objectives

What do you want to attain with your research? Your goals and objectives should answer that question. You can start by forming a general marketing goal . You will, then, make it more specific. This goal will help you focus and direct the entire research process to make the best data-driven marketing decisions. To determine the most critical issue, you may conduct qualitative research . This research methodology ensures that you address the issue that really requires an urgent solution.

2. Determine Your Target Respondents and Appropriate Distribution Method

In this step, you will identify the right people to get the information that you need to create the right decision for your marketing goals. After that, list down the best possible ways for the data gathering. For example, your target market is veterans. You may want to use more appropriate channels such as direct mails, phone, or personal interview. Once you have chosen the most appropriate data collection method, create an outline that will allow your team to get the most relevant information from your target market or audience.

4. Brainstorm for the Right Questions

In deciding the right questions for your marketing research, it is crucial to keep your study goals in mind. Only include items that are relevant to the study to come up with the best business decisions. Asking the wrong questions may lead to inadequate conclusions. Data-driven solutions mostly obtained through quantitative research questions. You can still use qualitative research questions but make it minimal to avoid making the respondents bored and held up, which can lead to survey abandonment. As much as possible, make your survey short and answerable in less than 5 minutes. Otherwise, you may want to find an alternative option in getting the desired data. Also, it would help if you will consider other factors in building the right questions. Refrain from asking sensitive, personal, and offensive questions. To do it, research your target audience.

5. Analyze the Data

Start this step by cleaning your survey data. To do it, filter out any low-quality responses. These items can affect your decision-making negatively. Basing on the set standards, remove the outlier responses. To do that, determine if the respondents answered in the desired format. If not, especially if it has become a trend, disqualify the question or conduct another data-gathering or investigation for this question. In this process, you will also find out if the answers of the participants are contributing to your research goals. At the end of this stage, you will, then, share your findings. To effectively show your results, you can use data visualization methods such as charts, graphs, and infographics.

6. Create a Data-Driven Marketing Decisions

Now that you have the necessary market research data, you can come up with a data-driven decision. Whether you are running a pharmaceutical firm or a corporal business such as Coca Cola, you can develop a new marketing campaign and other relevant business actions without unnecessary worries since you have directly reached out to your target market.

In a market that is becoming more competitive, creating a market research plan for a new product of your business can give you an advantage and an edge over your opponents. This type of method will also save your time, effort, and money because it allows you to determine the proper actions that you can take towards the corporate goals in terms of marketing and other relevant sectors.

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Create a study plan for final exams in high school

Develop a project timeline for a middle school science fair.