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analyzing-user-feedback分析用户反馈

Agent Skill

analyzing-user-feedback 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyzing-user-feedback(分析用户反馈)
来源仓库:https://github.com/refoundai/lenny-skills
仓库路径:skills/analyzing-user-feedback
安装命令:
npx skills add https://github.com/refoundai/lenny-skills --skill analyzing-user-feedback
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/refoundai/lenny-skills --skill analyzing-user-feedback

简介

使用 56 位产品领导者的框架将客户反馈综合为可行的产品见解。

  • 指导用户跨多个反馈渠道(NPS、支持、访谈、社交)识别模式,并按行为途径而非人口统计进行聚类
  • 强调区分根本原因和表面投诉,并采用技术来发现用户未明确说明的内容
  • 包括优先考虑信号而非噪音、与流失的用户交谈以及跨孤岛汇总见解以防止知识差距的原则
  • 标记常见错误,例如字面理解反馈、过度索引少数群体以及忽视非用户观点

SKILL.md

Analyzing User Feedback

Help the user extract actionable insights from customer feedback using techniques from 56 product leaders.

How to Help

When the user asks for help analyzing feedback:

  1. Understand their sources - Ask where feedback is coming from (NPS, support, sales, social, interviews)
  2. Help identify patterns - Assist in clustering feedback into themes and prioritizing by frequency and impact
  3. Challenge surface-level interpretations - Push them to find root causes, not just stated complaints
  4. Connect to action - Help translate insights into product decisions

Core Principles

Feedback is a river, not a lake

Shaun Clowes: "Really smart product managers are constantly swimming in a feedback river. Set up streams of user interview data, NPS, and competitor info to wash over you daily." Make feedback consumption continuous, not episodic.

Users lie (unintentionally)

Bret Taylor: "Taking what a customer says in a focus group is rarely correct. Practice intellectual honesty to distinguish surface-level complaints from root causes." When users say "price," they often mean "value."

Cluster, don't segment

Bob Moesta: "Instead of segmenting by demographics, we cluster by behavioral pathways. It's not one reason why people do things—it's sets of reasons." Look for the 'hire and fire' criteria for different user clusters.

Every support ticket is a product failure

Geoff Charles: "We literally have 'every support ticket is a failure of our product' posted on all channels. Share every negative review with the relevant PM and designer monthly."

The silent signals matter

Ramesh Johari: "There's a lot of information in ratings that are NOT left. The absence of a rating is often a strong signal of a mediocre experience users are too polite to report."

Filter the 80% noise

Jen Abel: "80% of feedback is noise based on legacy habits, 20% is gold that guides the future product. It's the founder's job to interpret what's 'the old way' versus real market needs."

Aggregate across all channels

Brian Balfour: "AI can analyze existing feedback AND identify knowledge gaps—what customers are NOT saying. Aggregate feedback from all sources into a centralized repository."

Talk to churned users

Uri Levine: "The most critical insights come from users who dropped out of the funnel, not those who succeeded. Interview users who churned to find the 'why' behind the failure."

Prioritize future users over vocal minorities

Tamar Yehoshua: "Don't over-index on people unhappy with your changes. Design for the bigger number of people who will use it tomorrow, not the vocal few complaining today."

Make insights stick

Yuhki Yamashata: "The goal is 'memification'—synthesize insights so they're catchy enough for execs to cite in meetings. Use real-world metaphors to explain complex concepts."

Questions to Help Users

  • "Where is your feedback coming from? Are you missing any channels?"
  • "Have you talked to churned users, or only happy customers?"
  • "What's the pattern behind these complaints—what's the root cause?"
  • "Are these requests from early adopters or from users stuck in old habits?"
  • "How will you act on this insight?"

Common Mistakes to Flag

  • Taking feedback literally - Users say they want X but often need Y
  • Only listening to vocal users - Silent majority may have different needs
  • Ignoring non-users - People who didn't convert have critical insights
  • Feedback hoarding - Insights trapped in silos don't help anyone
  • Hindsight bias - Don't dismiss research findings as "obvious" after the fact

Deep Dive

For all 64 insights from 56 guests, see references/guest-insights.md

Related Skills

  • Conducting User Interviews
  • Measuring Product-Market Fit
  • Prioritizing Roadmap
  • Setting OKRs & Goals

适合场景

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用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算3,182

Claude

29.63%
按下载量换算2,581

Cursor

17.54%
按下载量换算1,528

Gemini CLI

9.62%
按下载量换算838

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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