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research-synthesis

by @anthropicsv
4.4(20)

研究成果を総合的に分析・整理し、主要情報を抽出し、構造化されたレポートを作成します。

researchuxproduct-managementdata-analysisinterviewsGitHub
インストール方法
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill research-synthesis
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Before / After 効果比較

1 组
使用前

総合的な分析と研究成果の整理を手動で行い、関連タスクを抽出するには、ドキュメントの繰り返し参照とデバッグが必要です。全工程に約52分かかり、エラーが発生しやすく、効率が低い。

使用後

このスキルを使用して自動処理することで、3分以内にすべての作業が完了し、プロセスが標準化され、高い精度が得られます。

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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統計データ

インストール数4.0K
評価4.4 / 5.0
バージョン
更新日2026年10月17日
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4.4(20)
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3
20%
2
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対応プラットフォーム

🔧Claude Code

タイムライン

作成2026年3月26日
最終更新2026年10月17日
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