Synthesize Interviews
技能 已验证 活跃Turn raw user interviews, transcripts, and feedback into structured themes, pain points, and recommendations. Produces both a synthesis report and a standalone pain points document. Triggers on: "synthesize interviews", "interview findings", "user research synthesis", "what did users say", "analyze feedback".
To efficiently extract meaningful insights from qualitative user research data, enabling product teams to quickly understand user needs and prioritize development efforts.
功能
- Transforms raw interview transcripts and feedback into structured themes.
- Identifies and documents user pain points.
- Generates recommendations based on research findings.
- Produces both a synthesis report and a standalone pain points document.
- Handles various input modes: pasted content, file paths, and workspace references.
使用场景
- When you need to quickly understand common themes across multiple user interviews.
- After conducting user research and needing to distill findings into actionable pain points.
- To create a structured report for stakeholders based on raw customer feedback.
- When preparing for product strategy discussions and needing a clear overview of user challenges.
非目标
- Creating solutions or product designs based on the pain points identified.
- Performing sentiment analysis on feedback without thematic grouping.
- Automating the entire user research process (recruitment, interviewing).
- Generating marketing copy from feedback.
工作流
- Extract raw observations from each interview/feedback source.
- Identify and cluster themes across multiple sources.
- Generate a standalone document of pain points only.
- Generate a comprehensive synthesis report including themes, recommendations, and methodology.
- Cross-reference findings with related skills for further action.
实践
- User Research Synthesis
- Documentation Generation
- Information Extraction
Compliance
- info:GDPRThe skill operates on user-provided text, which may include personal data. While not submitting to a third party, it does not explicitly sanitize this data before processing.
安装
npx skills add mshadmanrahman/pm-pilot通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Ux Research
100Plan and execute user research including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, research synthesis, recruitment, interview guide, jobs to be done. Also triggers when product decisions are being made without user input and the user wants to fix that.
Pm Feedback Categorizer
99Categorize user feedback using affinity mapping. Ingest from multiple sources, de-duplicate, cluster into themes, score by frequency + severity + sentiment, and output a theme map with representative quotes and recommended actions. Distinguishes bugs, feature requests, usability issues, and praise. Use when someone says "categorize feedback", "sort feedback", "feedback analysis", "NPS comments", "what are users saying", "support themes", "voice of customer".
Interview Synthesis
98Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings.
Sentiment Analysis
77Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
Drive Motivation
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Pricing Strategy
100Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.