Feedback Analyzer by jmsktm/claude-settings
npx skills add https://github.com/jmsktm/claude-settings --skill 'Feedback Analyzer'专业的客户反馈分析系统,将非结构化反馈转化为可操作的产品和服务洞察。此技能提供结构化工作流程,用于从多个来源收集、分类、分析客户反馈并采取行动。
客户反馈是了解哪些方面有效、哪些方面无效的最直接信号。但原始反馈嘈杂、矛盾且数量庞大。此技能帮助您提取模式、确定主题优先级并有效完成反馈闭环。
基于客户之声最佳实践和定性研究方法,此技能结合文本分析、模式识别和利益相关者沟通,将反馈转化为行动。
从所有来源收集反馈到统一视图中
反馈来源
数据标准化
| 字段 | 描述 |
|---|---|
| 来源 | 反馈来自何处 |
| 日期 | 接收时间 |
| 客户 ID |
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
| 链接到客户记录 |
| 细分 | 客户类型/层级 |
| 原始文本 | 原始反馈 |
| 类别 | 主题分类 |
| 情感 | 积极/中性/消极 |
| 优先级 | 紧急程度/影响级别 |
收集自动化
质量过滤器
将反馈组织成有意义的类别
分类体系
子类别示例
产品功能 ├── 功能请求 │ ├── 新功能想法 │ └── 功能增强 ├── 缺失功能 │ ├── 竞品比较 │ └── 工作流程差距 └── 功能反馈 ├── 运行良好的方面 └── 运行不佳的方面
标记最佳实践
自动分类
理解情感背景和优先级
| 情感 | 指标 | 行动级别 |
|---|---|---|
| 非常消极 | 愤怒、威胁离开 | 紧急升级 |
| 消极 | 沮丧、投诉 | 在迭代中解决 |
| 中性 | 建议、问题 | 标准审查 |
| 积极 | 赞扬、感谢 | 与团队分享 |
| 非常积极 | 倡导、推荐 | 请求案例研究 |
紧急性评分因素
趋势检测
警报触发器
从大量反馈中提取可操作的模式
定量分析
定性分析
洞察综合
洞察模板:
发现: [数据显示的内容]
证据: [支持的数据点和引述]
影响: [如果不解决,对业务/客户的影响]
建议: [建议的行动]
优先级: [高/中/低,附理由]
4. 根本原因分析
* 分组相关反馈
* 识别根本原因
* 映射到用户旅程阶段
* 连接到产品/流程差距
* 区分症状与原因
传达洞察并推动改进
| 受众 | 关注点 | 频率 |
|---|---|---|
| 产品 | 功能请求、可用性 | 每周 |
| 支持 | 培训需求、流程问题 | 每周 |
| 高管 | 战略主题、流失驱动因素 | 每月 |
| 工程 | 错误、性能问题 | 实时 |
| 市场 | 定位、信息差距 | 每月 |
报告组成部分
反馈闭环完成
行动优先级排序
| 操作 | 命令/触发器 |
|---|---|
| 导入反馈 | "从 [来源] 导入反馈" |
| 分类反馈 | "分类反馈批次" |
| 分析情感 | "对 [数据] 运行情感分析" |
| 查找模式 | "识别反馈中的模式" |
| 生成报告 | "为 [受众] 创建反馈报告" |
| 提取引述 | "查找关于 [主题] 的引述" |
| 趋势分析 | "分析反馈趋势" |
| 细分分析 | "按细分比较反馈" |
| 优先级评分 | "按优先级对反馈评分" |
| 行动跟踪 | "跟踪反馈到行动" |
通过客户目标分析反馈:
对功能反馈进行分类:
对行动进行优先级排序:
高影响
│ 速赢 │ 重大项目
│ (立即执行) │ (仔细规划)
────┼───────────────┼───────────────
│ 填充项 │ 吃力不讨好
│ (有时间再做)│ (重新考虑)
低 │ │ 高
└───────────────┴───────────────
努力
将反馈映射到旅程阶段:
# 反馈摘要: [周]
## 关键数字
- 接收到的总反馈: [X]
- 情感细分: [+/中性/-]
- 主要类别: [类别] ([%])
## 本周主题
### 主题 1: [标题]
[模式简要描述]
- 数量: [X] 次提及
- 受影响的细分: [列表]
- 代表性引述: "[引述]"
- 建议: [行动]
### 主题 2: [标题]
[相同格式]
## 新出现的问题
- [需要关注的新问题]
## 积极亮点
- "[积极引述]" - [客户]
## 上周的行动
- [采取的行动] → [结果]
# 客户之声: [月份]
## 执行摘要
[关于关键发现和业务影响的 2-3 句话]
## 指标
| 指标 | 本月 | 上月 | 趋势 |
|--------|------------|------------|-------|
| NPS | [分数] | [分数] | [↑↓] |
| CSAT | [分数] | [分数] | [↑↓] |
| 反馈量 | [X] | [X] | [↑↓] |
## 战略主题
### 1. [主题名称]
**影响**: [如果不解决,对业务的影响]
**证据**: [数据摘要]
**建议**: [战略行动]
### 2. [主题名称]
[相同格式]
## 竞争情报
[客户对竞争对手的评价]
## 客户引述
[3-5 条有影响力的引述,附上下文]
## 建议行动
1. [优先级行动,附负责人]
2. [优先级行动,附负责人]
## 附录
[详细数据表]
每周安装次数
–
代码仓库
GitHub 星标数
2
首次出现时间
–
安全审计
Expert customer feedback analysis system that transforms unstructured feedback into actionable product and service insights. This skill provides structured workflows for collecting, categorizing, analyzing, and acting on customer feedback from multiple sources.
Customer feedback is the most direct signal of what's working and what isn't. But raw feedback is noisy, contradictory, and overwhelming. This skill helps you extract patterns, prioritize themes, and close the feedback loop effectively.
Built on voice-of-customer best practices and qualitative research methods, this skill combines text analysis, pattern recognition, and stakeholder communication to turn feedback into action.
Gather feedback from all sources into unified view
Feedback Sources
Data Standardization
| Field | Description |
|---|---|
| Source | Where feedback came from |
| Date | When received |
| Customer ID | Link to customer record |
| Segment | Customer type/tier |
| Raw Text | Original feedback |
| Category | Topic classification |
| Sentiment | Positive/neutral/negative |
| Priority | Urgency/impact level |
Collection Automation
Quality Filters
Organize feedback into meaningful categories
Category Taxonomy
Subcategory Examples
Product Features ├── Feature Requests │ ├── New feature ideas │ └── Feature enhancements ├── Missing Features │ ├── Competitor comparisons │ └── Workflow gaps └── Feature Feedback ├── What works well └── What doesn't work
Tagging Best Practices
Automated Classification
Understand emotional context and priority
| Sentiment | Indicators | Action Level |
|---|---|---|
| Very Negative | Anger, threats to leave | Urgent escalation |
| Negative | Frustration, complaints | Address in sprint |
| Neutral | Suggestions, questions | Standard review |
| Positive | Praise, appreciation | Share with team |
| Very Positive | Advocacy, testimonial | Request case study |
Urgency Scoring Factors
Trend Detection
Alert Triggers
Extract actionable patterns from feedback mass
Quantitative Analysis
Qualitative Analysis
Insight Synthesis
Insight Template:
FINDING: [What the data shows]
EVIDENCE: [Supporting data points and quotes]
IMPACT: [Business/customer impact if unaddressed]
RECOMMENDATION: [Suggested action]
PRIORITY: [High/Medium/Low with rationale]
4. Root Cause Analysis
* Group related feedback
* Identify underlying causes
* Map to user journey stages
* Connect to product/process gaps
* Distinguish symptoms from causes
Communicate insights and drive improvements
| Audience | Focus | Frequency |
|---|---|---|
| Product | Feature requests, usability | Weekly |
| Support | Training needs, process issues | Weekly |
| Executive | Strategic themes, churn drivers | Monthly |
| Engineering | Bugs, performance issues | Real-time |
| Marketing | Positioning, messaging gaps | Monthly |
Report Components
Feedback Loop Closure
Action Prioritization
| Action | Command/Trigger |
|---|---|
| Import feedback | "Import feedback from [source]" |
| Categorize feedback | "Categorize feedback batch" |
| Analyze sentiment | "Run sentiment analysis on [data]" |
| Find patterns | "Identify patterns in feedback" |
| Generate report | "Create feedback report for [audience]" |
| Extract quotes | "Find quotes about [topic]" |
| Trend analysis | "Analyze feedback trends" |
| Segment analysis | "Compare feedback by segment" |
| Priority scoring | "Score feedback by priority" |
| Action tracking | "Track feedback to action" |
Analyze feedback through customer goals:
Categorize feature feedback:
Prioritize actions:
High Impact
│ Quick Wins │ Major Projects
│ (Do Now) │ (Plan Carefully)
────┼─────────────────┼───────────────────
│ Fill-ins │ Thankless Tasks
│ (Do If Time) │ (Reconsider)
Low │ │ High
└─────────────────┴───────────────────
Effort
Map feedback to journey stages:
# Feedback Summary: [Week]
## Key Numbers
- Total feedback received: [X]
- Sentiment breakdown: [+/neutral/-]
- Top category: [Category] ([%])
## This Week's Themes
### Theme 1: [Title]
[Brief description of pattern]
- Volume: [X] mentions
- Segments affected: [List]
- Representative quote: "[Quote]"
- Recommendation: [Action]
### Theme 2: [Title]
[Same format]
## Emerging Issues
- [New issue to watch]
## Positive Highlights
- "[Positive quote]" - [Customer]
## Actions from Last Week
- [Action taken] → [Result]
# Voice of Customer: [Month]
## Executive Summary
[2-3 sentences on key findings and business impact]
## Metrics
| Metric | This Month | Last Month | Trend |
|--------|------------|------------|-------|
| NPS | [Score] | [Score] | [↑↓] |
| CSAT | [Score] | [Score] | [↑↓] |
| Feedback Volume | [X] | [X] | [↑↓] |
## Strategic Themes
### 1. [Theme Name]
**Impact**: [Business impact if unaddressed]
**Evidence**: [Data summary]
**Recommendation**: [Strategic action]
### 2. [Theme Name]
[Same format]
## Competitive Intelligence
[What customers are saying about competitors]
## Customer Quotes
[3-5 impactful quotes with context]
## Recommended Actions
1. [Priority action with owner]
2. [Priority action with owner]
## Appendix
[Detailed data tables]
Weekly Installs
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Repository
GitHub Stars
2
First Seen
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Security Audits
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42,000 周安装