User Research
User Research
Core Principles
Great user research produces not just data, but decision-grade insights. These principles underpin every effective research practice:
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Research without action is entertainment. Every study should end with a clear "so what" — actionable recommendations that change what you build or how you build it.
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Bias is always present. The best you can do is name it, design around it, and account for it in your analysis. Common biases: confirmation bias, interviewer bias, selection bias, social desirability bias.
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Quality over quantity. Five well-recruited, well-moderated interviews produce more insight than fifty poorly run surveys. Depth beats breadth for generative work.
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Triangulate methods. No single method tells the whole story. Combine qualitative (what people say/do) with quantitative (how many, how often) for robust insights.
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Participant comfort is paramount. Research participants are giving you their time, attention, and vulnerability. Respect that. Make them feel safe, valued, and heard.
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Share raw data, not just summaries. Teams make better decisions when they can watch recordings, read transcripts, and see patterns themselves. Don't gatekeep the data.
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Research is a team sport. Invite engineers, designers, and PMs to observe sessions. Direct exposure to users builds empathy and conviction that second-hand reports cannot match.