About Qualitative Research

What is Qualitative Research?

Qualitative research collects in-depth information from a small number of participants. It focuses on understanding thoughts, motivations and experiences rather than measuring how often something happens. 

The output is not a number or a score. It is words, observations and behaviours. The value comes from depth, not volume. A well-run qualitative study with a small number of participants can surface insights that a large-scale survey would not uncover. 

How Qualitative Differs from Quantitative Research

Qualitative and quantitative research answer different kinds of questions. The two methods are often used together. Qualitative research helps you understand a problem. Quantitative research helps you measure how widespread that problem is. You can run them in either order depending on what you already know. 

When to Use Qualitative Research

Use qualitative research when you need to understand something, not measure it. 

• You are early in a project: Use qualitative research when you need to understand the problem before designing a solution. It helps define what to build before any design or development decisions are made.
• You have quantitative data that raises questions: When survey results or analytics show a pattern but do not explain why it is happening, qualitative research fills that gap. Sessions with participants can reveal the reasoning behind the numbers. 
• You are testing a concept or prototype: Qualitative research shows how participants interpret a design, what they assume about it and what concerns they have. This level of detail is not captured by task completion rates or preference scores alone.
• You need to understand the language users use: The words participants use to describe a problem or experience matter when writing surveys, product copy or positioning. Qualitative research captures this vocabulary directly from participants.
• You are researching emotional responses: When you need to understand how a product makes someone feel, what builds or breaks trust or how a brand is perceived, qualitative research is the appropriate method. These responses do not translate well into rating scales. 
• Your audience is small or specialised: When large-scale sampling is not practical because the user group is small or hard to reach, qualitative research allows you to get meaningful findings from a limited number of participants.

Five to eight participants is usually enough to surface the main themes in a qualitative study. Add more sessions only if you are comparing across meaningfully different user groups, as each additional session beyond that point tends to surface fewer new insights. 

What Good Qualitative Research Looks Like

A clear research question

A research question defines what the study is trying to find out. Without one, sessions can cover a lot of ground but produce findings that are difficult to act on. A good research question focuses on understanding behaviour or experience, not evaluating whether something is good or bad. 

A discussion guide, not a script: 

A discussion guide lists the topics and questions a moderator plans to cover. It is not read word for word. The moderator follows the participant when something unexpected comes up rather than moving rigidly to the next question.

A good discussion guide includes a warm-up section to establish context, core questions linked to the research objective, follow-up prompts for going deeper and an open closing question to capture anything the moderator did not think to ask.

The right participants

Qualitative findings are only as reliable as the people in the sessions. Recruiting participants who do not match your actual user base will produce feedback that does not reflect real behaviour. Define who should participate before recruiting and use a screener to filter out anyone who does not meet the criteria. 

Separating observation from interpretation

During analysis, keep a clear distinction between what a participant said or did and what you think it means. Working from recordings and transcripts rather than memory keeps this distinction clear. Have more than one person review the data independently, trace every pattern back to specific moments across multiple sessions, and avoid drawing conclusions from a single session or a single participant's response.

Enough sessions to see patterns

Qualitative research works best when you run enough sessions to identify recurring themes across participants. A finding that appears once is a data point. A finding that appears across multiple sessions independently is a pattern worth acting on. 

Common Use Cases

Usability Testing

Use qualitative research to understand where and why users struggle with a product flow. Participants attempt real tasks while thinking aloud. The moderator probes when hesitation or confusion appears. The output identifies where the experience breaks down and the specific reasons behind it. 

Concept and Prototype Testing

Use qualitative research when you have design directions to evaluate before deciding which to pursue. Sessions reveal what participants assume about a design, what they find useful and what raises concerns. This level of detail is not captured by a preference survey.

Discovery Research

Use qualitative research when you are exploring a problem space you do not yet understand. Sessions focus on participants' current behaviours, workarounds and frustrations rather than evaluating a specific solution. The findings inform what the team should build, not just how to build it.

Brand and Communication Research

Use qualitative research to understand how a campaign or piece of messaging is received by its audience. Participants respond to materials in their own words, showing whether the message people receive matches the message that was intended.

Post-launch Evaluation

Use qualitative research after a feature has launched to understand how it is being used in practice and where friction remains. Sessions with actual users surface issues that usage data alone would not explain.