danielpradilla 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")