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汇总和综合来自多个来源的用户反馈。当用户需要分析用户反馈、对反馈主题进行分类、了解用户情绪，或说"分析反馈"、"用户在说什么"、"综合反馈"时使用。即使没有明确说"反馈综合"，当用户正在处理来自任何来源的用户反馈时也应激活。 Also triggers on: analyze feedback, what are users saying, synthesize user feedback.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/kelegele/oh-my-pm --skill feedback-synthesisコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
从 PRD 到上线后分析的功能发布物料与编排。核心是一套发布物料库——发布策略选型、灰度放量、回滚计划、上线后监控基线、分阶段 checklist（见 references/launch-playbook.md）；另提供可选的 Plan-and-Execute 编排（PRD 定稿→发布→复盘）。当准备发布功能、协调功能发布，或用户说"发布这个功能"、"功能发布计划"、"从 PRD 到上线"、"灰度计划"、"回滚方案"、"上线 checklist"、"发布策略"时使用。 Also triggers on: launch this feature, feature launch plan, from PRD to launch, release checklist, rollout plan, rollback plan.
Oh-My-PM 全系统前门与全局意图路由：理解用户想做什么，路由到最合适的 skill 或 workflow 并一句话说明理由。当用户提出产品管理相关需求但不确定该用哪个能力时使用；也覆盖广义入口请求，如"产品经理工作入口"、"下一步该做什么"、"帮我规划产品工作"、"我要写 PRD"、"分析竞品"、"复盘"等。 Also triggers on: PM work entry point, what should I do next, help me plan product work, route my PM request.
一次性产出产品策略三件套：定位声明、优先级排序（RICE/MoSCoW）与产品路线图，三段一条主线（定位定权重、权重定排序、排序定排期）。当用户需要产品定位、差异化策略、定义价值主张，或需要对待办事项排序、决定先构建什么、用 RICE/MoSCoW 给功能排名，或需要创建路线图、定义里程碑、规划产品方向，或说"我们如何定位 X"、"我们有什么不同"、"给这个排优先级"、"我们应该先构建什么"、"创建路线图"、"我们的计划是什么"、"下季度路线图"时使用。即使没有明确说"定位"、"优先级排序"或"路线图"，当用户正在制定产品战略、对竞争项目进行排名、规划产品时间线或向干系人沟通产品方向时也应激活。 Also triggers on: product positioning, prioritize this with RICE, what should we build first, create a roadmap, next quarter roadmap.
SOC 職業分類に基づく
SKILL.md を表示中
| name | feedback-synthesis |
| description | 汇总和综合来自多个来源的用户反馈。当用户需要分析用户反馈、对反馈主题进行分类、了解用户情绪，或说"分析反馈"、"用户在说什么"、"综合反馈"时使用。即使没有明确说"反馈综合"，当用户正在处理来自任何来源的用户反馈时也应激活。 Also triggers on: analyze feedback, what are users saying, synthesize user feedback. |
| layer | validation |
| input-from | user |
| output-to | retrospective,product-strategy |
Turn user noise into actionable insights.
Aggregates feedback from multiple sources, identifies themes and patterns, categorizes by severity and frequency, and synthesizes into actionable insights. Makes sense of scattered user input.
Activate this skill when:
The synthesis process ensures comprehensive feedback understanding:
| Parameter | Type | Required | Description |
|---|---|---|---|
sources | list | No | Feedback sources (default: all available) |
timeframe | string | No | Period to analyze (default: "last 30 days") |
focus | string | No | Specific feature or area to focus on |
| Source | Type | What It Provides |
|---|---|---|
| Support tickets | Structured | Detailed issues, urgent problems |
| App reviews | Public | Overall sentiment, common complaints |
| User interviews | Qualitative | Deep insights, nuanced feedback |
| Surveys | Structured | Quantifiable satisfaction, NPS |
| In-app feedback | Contextual | Real-time, situation-specific |
| Social media | Public | Brand perception, common requests |
| Sales/CS notes | Filtered | Prospect/customer requests |
The skill generates synthesis outputs:
# User Feedback Synthesis
**Period**: [Start] - [End]
**Total Feedback Items**: [Number]
**Primary Sources**: [List]
## Executive Summary
### Overall Sentiment
| Metric | Value | Change from Previous |
|:-------|:-----|:----------------------|
| Overall Sentiment | 🟢 Positive / 🟡 Neutral / 🔴 Negative | [Change] |
| NPS Score | [Score] | [+/- X] |
| Satisfaction | [Score]/5 | [+/- X] |
| Total Feedback | [Count] | [+/- X] |
### Top Themes This Period
1. **[Theme 1]** - [Count] mentions, [trend]
2. **[Theme 2]** - [Count] mentions, [trend]
3. **[Theme 3]** - [Count] mentions, [trend]
## Categorized Feedback
### Bugs & Issues
| Issue | Count | Severity | Trend | Status |
|:------|:-----|:--------|:------|:--------|
| [Bug description] | 25 | High | ↗ Increasing | 🔄 Investigating |
| [Bug description] | 12 | Medium | → Stable | ✅ Fixed |
| [Bug description] | 8 | Low | ↘ Decreasing | 📋 Backlog |
**Total bugs**: 45 | **High severity**: 15
### Feature Requests
| Request | Count | Priority | Segment | Estimate |
|:--------|:-----|:---------|:--------|:---------|
| [Feature request] | 38 | P0 | Enterprise | 2 weeks |
| [Feature request] | 24 | P1 | SMB | 1 week |
| [Feature request] | 19 | P2 | All | 3 days |
**Total requests**: 81 | **Top 3 account for 45% of volume
### UX & Usability
| Issue | Count | Impact | Location | Fix |
|:------|:-----|:-------|:---------|:----|
| [UX problem] | 32 | High | Onboarding | Quick |
| [UX problem] | 21 | Medium | Settings | Moderate |
| [UX problem] | 15 | Low | Dashboard | Complex |
**Total UX issues**: 68
### Performance & Reliability
| Issue | Count | Severity | Trend |
|:------|:-----|:--------|:------|
| [Performance issue] | 18 | Medium | ↘ Improving |
| [Performance issue] | 9 | High | → Stable |
| [Performance issue] | 5 | Low | → Stable |
### Praise & Positive Feedback
| Theme | Count | Representative Quote |
|:------|:-----|:---------------------|
| [Positive theme] | 24 | "Love how easy this is!" |
| [Positive theme] | 18 | "Finally, a feature that works" |
| [Positive theme] | 12 | "Customer support is amazing" |
**Positive mentions**: 54 (35% of total feedback)
## Detailed Analysis
### Top Issues (by Impact)
#### 1. [Issue Title]
**VolumeSeverityTrendUser QuotesImpactRecommended ActionPriorityEffortVolumeSeverityTrendWeek 1 |████████| 4.2/5 - Mostly Positive Week 2 |███████| 3.9/5 - Slight Decline Week 3 |██████| 3.7/5 - Quality Issue? Week 4 |█████████| 4.3/5 - Recovery After Fix
**Key Event**: [Explanation of notable changes]
## Recommendations
### Immediate (This Week)
1. **Fix blocking bug**: [Bug] affecting [X] users
2. **Address top complaint**: [Complaint] with [Y] mentions
3. **Acknowledge feedback**: Respond to [Z] pending items
### Short-term (This Month)
1. **Implement quick win**: [Feature] requested by [X] users
2. **Improve onboarding**: [Y]% drop off at step [Z]
3. **Address performance**: [Performance issue]
### Long-term (This Quarter)
1. **Evaluate strategic request**: [Feature] with revenue impact
2. **UX improvements**: [Top UX issues] grouped
3. **Proactive outreach**: [Segment] showing declining sentiment
## Feedback Loop Actions
This analysis triggers the following actions:
- **New high-severity bugs** → Engineering escalation
- **Common feature requests** → Consider for prioritization
- **Declining sentiment trend** → Activate market-research skill
- **UX patterns** → Update design system
## Appendices
### Source Breakdown
| Source | Items | % of Total | Primary Themes |
|:--------|:-----|:----------|:---------------|
| Support tickets | 95 | 40% | Bugs, how-to |
| App reviews | 62 | 26% | Features, UX |
| In-app feedback | 42 | 18% | UX, bugs |
| User interviews | 24 | 10% | Deep insights |
| Social media | 16 | 6% | Brand, requests |
### Methodology
- **Deduplication**: Items merged if similar intent + same source area
- **Severity**: Based on user impact, not volume
- **Trend**: Compared to previous period (last 30 days)
- **Sentiment**: Calculated from coded feedback (positive/neutral/negative)
| Category | Subtypes | Example |
|---|---|---|
| Bugs | Broken, error, crash | "App crashes when I click save" |
| Features | Request, enhancement | "Would love to see X feature" |
| UX | Confusing, hard to use | "Can't find how to do X" |
| Performance | Slow, laggy | "Takes too long to load" |
| Praise | Compliment, love | "This is amazing!" |
| Pricing | Expensive, confused | "Too expensive for what I get" |
Before delivering, ensure synthesis:
Reads:
docs/product/release-plan.md - Release scope to categorize feedbackdocs/product/.ompm/impact-analysis.json - Combine quantitative and qualitativeWrites:
docs/product/.ompm/feedback-synthesis.json - Structured synthesis datadocs/product/feedback-reports/[period].md - Full synthesis reportRead By:
retrospective - Uses feedback for planningproduct-strategy - Incorporates requests into prioritizationmarket-research - Identifies areas needing deeper researchUser: "What are users saying about the new feature?"
→ Synthesizes feedback specifically about that feature
User: "Analyze all feedback from last month"
→ Generates comprehensive synthesis report
User: "What are the top complaints?"
→ Summarizes highest-volume negative feedback
docs/product/.ompm/memory/feedback-synthesis.md——跨会话积累经验（优质信源、领域基线、分析框架）；执行开始时读取、结束时更新；文件不存在则新建本 skill 完成后，如果用户没有明确下一步，引导用户使用 ompm skill 做意图路由——它会读取本轮产出和当前状态，判断最有价值的下一步。不要替用户预设固定长链；output-to 声明的是数据流向，不是强制路径。