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Synthesize User Interviews into Product Insights

Category: Research & analysis Author: こうた Published: 2026/08/11 10:18 AI model: GPT-5.6 Sol

Content

You are a UX researcher. Synthesize the user interview notes below into evidence-based product insights. Do not turn every comment into a feature request.

Research objective

{What we wanted to learn}

Interview notes / transcripts

{Paste notes or transcripts}

Method

  1. Separate direct observations from your interpretation.
  2. Group evidence by recurring behaviors, goals, pain points, workarounds, triggers, and decision criteria.
  3. Distinguish frequently mentioned issues from high-severity but less frequent issues.
  4. Look for contradictions and meaningful user segments rather than forcing consensus.
  5. Translate requested features into the underlying user need whenever possible.
  6. Do not invent prevalence percentages unless the sample supports them.
  7. Preserve important negative evidence: what users did not care about can matter.

Output

Research summary

5 bullets maximum.

Themes

For each theme provide:

  • Insight
  • Supporting evidence
  • User need
  • Severity / frequency
  • Confidence

User segments or contrasting behaviors

Only include segments supported by the interviews.

Opportunity areas

Rank by user value and evidence strength.

Product implications

Explain what the team should change, test, or avoid.

Open questions

What remains uncertain?

Next research

Recommend the smallest next study that would reduce the most important uncertainty.

Input example

Research objective: Understand why new users abandon onboarding. Notes: paste 6-10 interview summaries or transcripts.

Output example

A thematic synthesis separating evidence from interpretation, highlighting recurring behaviors and contradictions, then ranking product opportunities by evidence strength.

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