Recipe
User interview transcript → insight summary
Turn raw conversation transcripts into structured, actionable insight summaries in under five minutes.
What you need
- A completed user interview transcript (Zoom, Otter, Grain, or manual notes)
- Your research goal or learning objective for the session
- Meridian workspace with the transcript loaded
Steps
- Paste the transcript. Drop the full raw transcript into a new Meridian document. Do not clean it up — timestamps, filler words, and false starts are fine.
- Set the context. Add a one-line header describing the research goal. Example: “Understand why trial users churn before day 7.”
- Run the summary recipe. Select the transcript block, open the recipe palette, and choose Transcript → Insight Summary.
- Review the output. Meridian produces a structured summary: key themes, verbatim evidence quotes, participant sentiment, and action items.
- Tag and store. Apply tags (participant ID, cohort, date) and save to your research repository for cross-session synthesis.
Output structure
Summary
2–3 sentence synthesis of the session.
Key Themes
Bulleted themes with frequency counts.
Evidence
Direct quotes tied to each theme.
Sentiment
Overall tone and emotional signals.
Actions
Concrete next steps for the team.
Tips
- Run the recipe immediately after the interview while context is fresh.
- For multi-participant studies, use batch mode to process all transcripts at once.
- Combine with the affinity-mapping recipe for synthesis across sessions.
Part of the Meridian research recipe collection. See also: Affinity mapping · Survey analysis