user-interview-synthesis
Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps. For mixed sources beyond interviews (surveys, tickets, feedback) use user-research-synthesis instead.
npx skills add mohitagw15856/pm-claude-skills --skill user-interview-synthesis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# User Interview Synthesis Skill 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) - Suppor
- Required Inputs
- Process
- Output Structure
- Research Synthesis: [Study Name]
- Deeper Materials
- Scoring Rubric (0–40)
- Quality Checks
- Anti-Patterns
What does the user-interview-synthesis skill do?
Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps. For mixed sources beyond interviews (surveys, tickets, feedback) use user-research-synthesis instead.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill user-interview-synthesis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.