# Research Synthesis

Synthesize user research into themes, insights, and recommendations.

- Repository: https://github.com/TencentCloud/Octop (11420 stars)
- Category: Testing
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add TencentCloud/Octop --skill research-synthesis -g -a claude-code -y`
Codex: `npx skills add TencentCloud/Octop --skill research-synthesis -g -a codex -y`
Cursor: `npx skills add TencentCloud/Octop --skill research-synthesis -g -a cursor -y`
Gemini CLI: `npx skills add TencentCloud/Octop --skill research-synthesis -g -a gemini-cli -y`

## Description

Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NPS responses that need to be distilled into patterns, user segments, and prioritized next steps.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# /research-synthesis

> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../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

```markdown
## 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

The rest: https://github.com/TencentCloud/Octop/blob/HEAD/src/octop/infra/agents/experts/library/design/skills/research-synthesis/SKILL.md