# Interview Signal Synthesis

> Synthesize interviews into themes, contradictions, opportunities, and product implications.

- Skill: `danielpradilla/interview-signal-synthesis` (Agent Skill)
- Install (CLI): `npx skillmds add danielpradilla/interview-signal-synthesis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/danielpradilla/interview-signal-synthesis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: danielpradilla (https://skillmd.com/u/danielpradilla)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/danielpradilla/interview-signal-synthesis

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# 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
1. Read all provided transcripts fully before drawing conclusions
2. Identify recurring themes (minimum 3 mentions to qualify as a theme)
3. Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
4. Select 2-3 verbatim quotes per theme that best represent the pattern
5. Draft "So What" implications for each theme - what does this mean for the product?
6. **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")