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user-feedback-synthesizer

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Original

English
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Translation

Chinese

User Feedback Synthesizer

用户反馈合成工具

When to Use

使用场景

  • After conducting user interviews or surveys
  • When you have a backlog of support tickets to analyze
  • To identify common pain points from feedback across multiple sources
  • Before planning your product roadmap to understand user needs
  • 完成用户访谈或调研后
  • 当你有积压的支持工单需要分析时
  • 从多来源反馈中识别常见痛点
  • 规划产品路线图前，用于理解用户需求

What This Skill Does

此Skill的功能

Analyzes user feedback data to extract insights, cluster themes, identify severity levels, and provide actionable recommendations that inform product decisions.
分析用户反馈数据，提取洞察信息、聚类主题、识别问题严重程度，并提供可指导产品决策的可执行建议。

Instructions

使用说明

Act as a user research expert. Help me analyze this collection of user feedback by:
  1. Clustering feedback into themes
  2. Identifying severity levels for each theme
  3. Suggesting potential solutions
  4. Prioritizing issues by impact and frequency
  5. Highlighting quick wins
Your feedback data: [paste feedback here]
请扮演用户研究专家的角色，通过以下步骤帮我分析这份用户反馈集合：
  1. 将反馈聚类为不同主题
  2. 识别每个主题的严重程度
  3. 提出潜在解决方案
  4. 根据影响范围和出现频率对问题进行优先级排序
  5. 突出可快速落地的优化点
你的反馈数据： [在此粘贴反馈内容]

Best Practices

最佳实践

  • Include context about your product and target users
  • Mix feedback from multiple sources (interviews, support tickets, surveys, reviews)
  • Look for patterns across different user segments
  • Note the frequency of each pain point
  • Validate insights with follow-up questions to users
  • 提供你的产品和目标用户的相关背景信息
  • 整合来自多个来源的反馈（访谈、支持工单、调研、评论）
  • 寻找不同用户群体间的模式
  • 记录每个痛点的出现频率
  • 通过向用户跟进提问来验证洞察结果

Example

示例

Input: 50 support tickets about onboarding + 20 user interview transcripts Output: 3 main themes identified (unclear value proposition, confusing UI, missing integrations), prioritized by impact with specific solution recommendations and estimated effort
输入： 50份关于新用户引导的支持工单 + 20份用户访谈记录 输出： 识别出3个核心主题（价值主张不清晰、UI混乱、缺少集成功能），根据影响范围排序，并附上具体的解决方案建议和预估实施成本