Qualitative research is the foundation of product discovery. It is how product teams understand customer problems, uncover unmet needs, and generate insights that quantitative data alone cannot provide. Yet in practice, most product teams treat qualitative research as a checkbox exercise: conduct five interviews, extract a few quotes, and move on to building.

At PR_D_CT DAY 2023, Timote Geimer, CEO of dualoop, presented a talk that challenged the audience to take qualitative research seriously as a craft rather than treating it as a step in a process. dualoop specialises in helping product teams conduct rigorous qualitative research, and Timote's perspective was grounded in years of watching teams do it poorly and helping them do it well.

The talk was especially timely for a product community that has embraced continuous discovery but has not always invested in the quality of the research that discovery depends on.

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Original Presentation Slides

Download the slides from this talk as presented at the gathering.

The Most Common Research Anti-Patterns

The Craft of Doing Qualitative Research Well

The middle section of the talk is dedicated to what good qualitative research actually looks like. Timote presents it as a craft that requires practice, not a method that can be learned from a blog post. The distinction matters because craft implies skill development over time, while method implies a repeatable procedure that anyone can follow.

He outlines several principles that separate rigorous qualitative research from research theatre. The first is preparation: before conducting a single interview, the researcher should have a clear understanding of what they know, what they do not know, and what assumptions they are testing. The interview guide should be a tool for exploration, not a script for confirmation.

lightbulbThe five-why depth test

Timote recommends a simple test for interview depth: if you cannot explain at least five layers of reasoning behind a customer's behaviour (the five whys), you have not gone deep enough. Surface-level research captures what customers do. Deep research captures why they do it, what prevents them from doing it differently, and what would have to change for them to switch their behaviour.

The second principle is analysis rigour. Timote argues that most teams skip from interviews to insights too quickly. Proper analysis involves coding the data (identifying themes and patterns systematically), looking for contradictions and outliers rather than just confirming the dominant narrative, and synthesising findings into a coherent story that can guide product decisions.

The outlier that changed everything

Timote shares an example where a dualoop client was conducting research for a new feature. Eight of ten interviewees confirmed the team's hypothesis. Two contradicted it. The team initially dismissed the outliers. When dualoop pushed them to investigate the contradictions, they discovered that the outlier perspective represented an emerging customer segment that would become the primary growth driver within eighteen months. The outliers were not wrong; they were early.

Qualitative Research: Behind Product Discovery

Original Presentation Slides

The Most Common Research Anti-Patterns

The Craft of Doing Qualitative Research Well

lightbulbThe five-why depth test

The outlier that changed everything

Embedding Research in Continuous Discovery

infoTwo interviews per week

Research as a Strategic Advantage

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