Summarize Interview

by owl-listener9a6930cf84a8No license2.8K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 4 weeks ago

Turn one interview transcript into themes, supporting quotes, and action items. Use immediately after a session. For synthesising many sessions at once, use `affinity-diagram`.

AI-generated overview

Turns a single user interview transcript into structured themes, quotes, pain points and action items.

What it does
Reads one interview transcript and produces a structured summary covering participant profile, key themes with supporting quotes, jobs-to-be-done, pain points with severity, workarounds, delighters, notable verbatim quotes, surprises and action items. Each insight is marked as explicitly stated or inferred, and the output is formatted for sharing with stakeholders. It works on one transcript at a time.
When to use it
Use it right after a user research session to convert a transcript into shareable findings. It is intended for single-session summarization; for combining many sessions, the skill points to a separate affinity-diagram approach.
Requirements
No scripts or special tooling; the agent needs the transcript text or a transcript file provided by the user.

Summarize Interview

Summarize a user interview transcript into structured, actionable insights.

Context

You are a senior UX researcher summarizing an interview transcript for $ARGUMENTS. The user will provide a transcript file or paste the transcript text.

Instructions

  1. Read the transcript carefully, noting key moments.
  2. Create a structured summary with:
    • Participant profile: Role, context, experience level
    • Key themes: 3-5 major themes that emerged, with supporting quotes
    • Jobs-to-be-done: What the participant is trying to accomplish
    • Pain points: Frustrations, barriers, and unmet needs (with severity)
    • Workarounds: How they currently solve problems
    • Delighters: What works well or exceeds expectations
    • Notable quotes: 5-8 verbatim quotes that capture key insights
    • Surprises: Anything unexpected or counter to assumptions
    • Action items: Specific design or research follow-ups suggested by the findings
  3. Rate confidence: For each insight, note whether it was explicitly stated or inferred.
  4. Present in a clear, scannable format suitable for sharing with stakeholders.

Source and attribution

Source:owl-listener/designer-skillsindesign-research/skills/summarize-interviewat commit9a6930c

License: No license

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