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.
如果看到不熟悉的占位符或需要查看已连接的工具,请参阅CONNECTORS.md。
将用户研究数据转化为可执行的洞察。如需了解研究方法、访谈指南和分析框架,请查看user-research技能。
Usage
使用方法
/research-synthesis $ARGUMENTS/research-synthesis $ARGUMENTSWhat I Accept
支持的输入类型
- Interview transcripts or notes
- Survey results (CSV, pasted data)
- Usability test recordings or notes
- Support tickets or feedback
- NPS/CSAT responses
- App store reviews
- 访谈记录或笔记
- 调查结果(CSV格式或粘贴的数据)
- 可用性测试录制内容或笔记
- 支持工单或反馈
- NPS/CSAT反馈
- 应用商店评论
Output
输出格式
markdown
undefinedmarkdown
undefinedResearch Synthesis: [Study Name]
研究合成报告:[研究名称]
Method: [Interviews / Survey / Usability Test] | Participants: [X]
Date: [Date range] | Researcher: [Name]
研究方法: [访谈 / 调研 / 可用性测试] | 参与人数: [X]
研究日期: [日期范围] | 研究员: [姓名]
Executive Summary
执行摘要
[3-4 sentence overview of key findings]
[3-4句话概括关键发现]
Key Themes
核心主题
Theme 1: [Name]
主题1:[主题名称]
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]
普遍性: [Y位参与者中的X位]
主题概述: [主题内容简介]
支撑证据:
- "[引用内容]" — 参与者[X]
- "[引用内容]" — 参与者[X] 对产品的意义: [该主题对产品的影响]
Theme 2: [Name]
主题2:[主题名称]
[Same format]
[相同格式]
Insights → Opportunities
洞察→机遇
| Insight | Opportunity | Impact | Effort |
|---|---|---|---|
| [What we learned] | [What we could do] | High/Med/Low | High/Med/Low |
| 洞察 | 机遇 | 影响程度 | 实施难度 |
|---|---|---|---|
| [我们的发现] | [可采取的行动] | 高/中/低 | 高/中/低 |
User Segments Identified
识别出的用户细分群体
| Segment | Characteristics | Needs | Size |
|---|---|---|---|
| [Name] | [Description] | [Key needs] | [Rough %] |
| 细分群体 | 特征 | 核心需求 | 规模占比 |
|---|---|---|---|
| [群体名称] | [特征描述] | [核心需求] | [大致占比] |
Recommendations
建议
- [High priority] — [Why, based on which findings]
- [Medium priority] — [Why]
- [Lower priority] — [Why]
- [高优先级] — [依据哪些发现提出此建议]
- [中优先级] — [建议理由]
- [低优先级] — [建议理由]
Questions for Further Research
后续研究待解决问题
- [What we still don't know]
- [我们仍未明确的问题]
Methodology Notes
研究方法说明
[How the research was conducted, any limitations or biases to note]
undefined[研究开展方式,需注意的局限性或偏差]
undefinedIf Connectors Available
当已连接相关工具时
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
如果已连接~~user feedback:
- 拉取支持工单、功能请求和NPS反馈以补充研究数据
- 将主题与真实用户的投诉和请求进行交叉对比
如果已连接~~product analytics:
- 用使用数据和行为指标验证定性研究发现
- 量化已识别痛点的影响程度
如果已连接~~knowledge base:
- 搜索过往研究报告和发现进行对比
- 将合成报告发布到你的研究知识库
Tips
小贴士
- 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.
- 包含原始引用——直接引用参与者的原话能让洞察更可信、更易记。
- 区分观察结果与解读——"8位用户中有5位点击了错误按钮"是观察结果。"按钮位置设计令人困惑"是解读。
- 尽可能量化——"大多数用户"表述模糊。"10位用户中有7位"则更具体。