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research-synthesis

by @anthropicsv
4.4(20)

Synthesize and analyze research findings, extract key information, and generate structured reports.

researchuxproduct-managementdata-analysisinterviewsGitHub
Installation
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill research-synthesis
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Before / After Comparison

1 组
Before

Manually performing comprehensive analysis, organizing research findings, and extracting relevant tasks requires repeated document review and debugging. The entire process takes approximately 52 minutes, is prone to errors, and is inefficient.

After

Using this Skill for automated processing, all work is completed within 3 minutes, with a standardized process and high accuracy.

SKILL.md

research-synthesis

/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.

Weekly Installs266Repositoryanthropics/know…-pluginsGitHub Stars10.3KFirst Seen12 days agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex257gemini-cli256opencode255cursor255kimi-cli254github-copilot254

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Installs4.0K
Rating4.4 / 5.0
Version
Updated2026年10月17日
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Compatible Platforms

🔧Claude Code

Timeline

Created2026年3月26日
Last Updated2026年10月17日
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