Our review
Synthesizes interview transcripts into themes, contradictions, opportunities, and product implications.
Strengths
- Systematically structures findings into themes, quotes, and implications.
- Validates theme robustness with a minimum of 3 participant mentions.
- Flags low-confidence signals separately to prevent premature decisions.
- Produces actionable recommendations directly tied to the data.
Limitations
- Requires at least 3 participants per theme for high confidence.
- May miss subtle nuances if transcripts are too brief.
- Does not replace deep qualitative analysis by a human researcher.
Use this skill when you have raw interview transcripts and need a structured, reliable synthesis to inform product decisions.
Avoid using it if you only have quantitative data or a very small number of interviews (fewer than 3 participants).
Security analysis
SafeThis skill only processes text inputs and provides a structured methodology for interview synthesis. It does not use or require any executable tools, system access, or potentially dangerous operations.
No concerns found
Examples
I have interview transcripts from 10 user research sessions about a new note-taking app. Synthesize themes, pain points, and implications using the interview signal synthesis method.Here are notes from 5 customer discovery calls with startup founders. Please apply the interview signal synthesis technique to identify recurring themes and product opportunities.We conducted 20 interviews on remote work challenges. Use the interview signal synthesis process to produce a research synthesis with themes, quotes, and next steps.name: interview-signal-synthesis description: "Synthesize interviews into themes, contradictions, opportunities, and product implications."
Interview Signal Synthesis
Transform raw interview transcripts into a structured synthesis document that surfaces themes, pain points, and actionable insights.
Required Inputs
Ask the user for these if not provided:
- Interview transcripts or notes (even rough notes work)
- Number of participants and their profiles (role, company size, context)
- Research questions (what was the study trying to answer?)
- Date range of research (for context)
Process
- Read all provided transcripts fully before drawing conclusions
- Identify recurring themes (minimum 3 mentions to qualify as a theme)
- Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
- Select 2-3 verbatim quotes per theme that best represent the pattern
- Draft "So What" implications for each theme - what does this mean for the product?
- Validate - Confirm every theme has quotes from at least 3 participants. Flag any insight resting on fewer as low-confidence.
Output Structure
Research Synthesis: [Study Name]
Participants: [n] Date Range: [dates] Research Questions: [list]
Theme 1: [Theme Name]
- Summary (2-3 sentences)
- Supporting quotes (from at least 3 participants)
- Implication for product
[Repeat for each theme]
Low-Confidence Signals (1-2 participants only)
[Findings worth tracking but not acting on yet - note what further research would confirm or deny]
Recommended Next Steps
[Specific, actionable recommendations based on findings]
Quality Checks
- [ ] Every theme is supported by quotes from at least 3 participants
- [ ] Implications connect to specific product decisions, not just observations
- [ ] Researcher bias check: no leading language, findings don't all support one hypothesis
- [ ] Single-source signals are flagged separately, not mixed into main themes
- [ ] Research questions from the study brief are each addressed (even if the answer is "inconclusive")
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