research-synthesis

par anthropic

Synthétiser les recherches utilisateur en thèmes, insights et recommandations. À utiliser lorsque vous disposez de transcriptions d'entretiens, de résultats d'enquêtes, de notes de tests d'utilisabilité, de support…

npx skills add https://github.com/anthropics/knowledge-work-plugins --skill research-synthesis

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/research-synthesis

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.

Usage

/research-synthesis $ARGUMENTS

What I Accept

Interview transcripts or notes
Survey results (CSV, pasted data)
Usability test recordings or notes
Support tickets or feedback
NPS/CSAT responses
App store reviews

Output

## 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 Connectors Available

If ~~user feedback is connected:

Pull support tickets, feature requests, and NPS responses to supplement research data
Cross-reference themes with real user complaints and requests

If ~~product analytics is connected:

Validate qualitative findings with usage data and behavioral metrics
Quantify the impact of identified pain points

If ~~knowledge base is connected:

Search for prior research studies and findings to compare against
Publish the synthesis to your research repository

Tips

Include raw quotes — Direct participant quotes make insights credible and memorable.
Separate observations from interpretations — "5 of 8 users clicked the wrong button" is an observation. "The button placement is confusing" is an interpretation.
Quantify where possible — "Most users" is vague. "7 of 10 users" is specific.