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todo-analyze-user-feedback

Analyze user feedback from surveys, interviews, and Slack channels for themes, sentiment, and pain points.

2|Updated Feb 9, 2026
Search Tags:#data analysis#sentiment analysis#user feedback#feedback analysis#product improvement
One-click install
npx skills add https://github.com/jasonmeans/pm-skills --skill todo-analyze-user-feedback
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: todo-analyze-user-feedback
Source: https://github.com/jasonmeans/pm-skills/tree/main/.claude/skills/todo-analyze-user-feedback
Command: npx skills add https://github.com/jasonmeans/pm-skills --skill todo-analyze-user-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of analyzing raw user feedback from surveys, interviews, and Slack channels to uncover actionable insights efficiently.

Core Features & Use Cases

  • Feedback Analysis: Extract themes, sentiment patterns, and pain points from user feedback.
  • Actionable Signals: Identify actionable product signals and recommendations.
  • Use Case: Use this Skill to process user feedback after a major product release and quickly identify areas of improvement.

Quick Start

Run the /todo-analyze-user-feedback skill with your feedback data file attached.

Frequently Asked Questions about todo-analyze-user-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze user feedback from surveys and Slack channels to find product insights?▼

Analyzing user feedback from surveys and Slack channels involves clustering themes, scoring sentiment, and identifying pain points to extract actionable product improvement signals.

What is the best way to identify pain points and sentiment patterns from raw user feedback?▼

Identifying pain points and sentiment patterns from raw user feedback requires processing survey and interview data to extract actionable signals and recommendations for product improvement.

Can I process feedback from multiple sources like interviews and Slack in one analysis?▼

Processing feedback from multiple sources like interviews and Slack together is supported, allowing you to extract unified themes and sentiment patterns for product improvement.

How do I extract actionable product signals after a major product release?▼

Extracting actionable product signals after a major release involves running feedback analysis on survey, interview, and Slack data to identify specific areas of improvement.

What data formats do I need to provide for user feedback analysis?▼

User feedback analysis requires data input from sources like surveys, interviews, and Slack channels, which you provide by attaching your feedback data file to start the process.

Does feedback analysis work for identifying specific areas of product improvement?▼

Feedback analysis works for identifying specific areas of product improvement by extracting themes, sentiment patterns, and pain points from your raw survey and Slack data.

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