research-synthesis
综合分析和整理研究成果,提取关键信息并生成结构化报告
npx skills add anthropics/knowledge-work-plugins --skill research-synthesisBefore / After 效果对比
1 组手动完成综合分析和整理研究成果,提取关相关任务,需要反复查阅文档和调试,整个过程大约需要52分钟,容易出错且效率低下
使用该 Skill 自动化处理,3分钟内完成全部工作,流程标准化且准确率高
description 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
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Interview transcripts or notes
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Survey results (CSV, pasted data)
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Usability test recordings or notes
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Support tickets or feedback
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NPS/CSAT responses
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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:
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Pull support tickets, feature requests, and NPS responses to supplement research data
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Cross-reference themes with real user complaints and requests
If ~~product analytics is connected:
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Validate qualitative findings with usage data and behavioral metrics
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Quantify the impact of identified pain points
If ~~knowledge base is connected:
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Search for prior research studies and findings to compare against
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Publish the synthesis to your research repository
Tips
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Include raw quotes — Direct participant quotes make insights credible and memorable.
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Separate observations from interpretations — "5 of 8 users clicked the wrong button" is an observation. "The button placement is confusing" is an interpretation.
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Quantify where possible — "Most users" is vague. "7 of 10 users" is specific.
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