
Takes messy user research data like interview transcripts, survey results, or support tickets and turns it into structured themes with quotes, user segments, and prioritized recommendations. The output format is solid: executive summary, key themes with prevalence counts, an insights-to-opportunities matrix with impact/effort scoring, and clear next steps. Works best when you have qualitative data that needs patterns pulled out. If you have analytics or a knowledge base connected, it'll cross-reference findings with usage data or pull in prior studies. The "separate observations from interpretations" tip is worth keeping in mind since it's easy to blur those lines when synthesizing.
$ npx -y skills add anthropics/knowledge-work-plugins --skill research-synthesis --agent claude-codeInstalls into .claude/skills of the current project.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Synthesize user research data into actionable insights. See the user-research skill for research methods, interview guides, and analysis frameworks.
/research-synthesis $ARGUMENTS
## Research Synthesis: [Study Name]
**Method:** [Interviews / Survey / Usability Test] | **Participants:** [X]
**Date:** [Date range] | **Researcher:** [Name]
### Executive Summary
[3-4 sentence overview of key findings]
### Key Themes
#### Theme 1: [Name]
**Prevalence:** [X of Y participants]
**Summary:** [What this theme is about]
**Supporting Evidence:**
- "[Quote]" — P[X]
- "[Quote]" — P[X]
**Implication:** [What this means for the product]
#### Theme 2: [Name]
[Same format]
### Insights → Opportunities
| Insight | Opportunity | Impact | Effort |
|---------|-------------|--------|--------|
| [What we learned] | [What we could do] | High/Med/Low | High/Med/Low |
### User Segments Identified
| Segment | Characteristics | Needs | Size |
|---------|----------------|-------|------|
| [Name] | [Description] | [Key needs] | [Rough %] |
### Recommendations
1. **[High priority]** — [Why, based on which findings]
2. **[Medium priority]** — [Why]
3. **[Lower priority]** — [Why]
### Questions for Further Research
- [What we still don't know]
### Methodology Notes
[How the research was conducted, any limitations or biases to note]
If ~~user feedback is connected:
If ~~product analytics is connected:
If ~~knowledge base is connected:
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