Verified:GitHub

pm-feedback

Synthesize multi-channel user feedback into prioritized product insights and recommendations.

2|Updated Feb 25, 2026

Search Tags:#qualitative analysis #product insights #user feedback #voice of customer #customer satisfaction #roadmap prioritization

Ready to run

npx skills add https://github.com/elihuvillaraus/skills --skill pm-feedback

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pm-feedback
Source: https://github.com/elihuvillaraus/skills/tree/main/pm-feedback
Command: npx skills add https://github.com/elihuvillaraus/skills --skill pm-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles the challenge of sifting through vast amounts of qualitative user feedback from various sources to identify actionable product insights and strategic priorities.

Core Features & Use Cases

Multi-Channel Feedback Synthesis: Consolidates feedback from surveys, interviews, support tickets, and social media.
Actionable Insight Generation: Transforms raw feedback into quantitative priorities and strategic recommendations.
Use Case: Imagine a product team overwhelmed by hundreds of user comments. This Skill can analyze them, identify the top 5 most requested features with supporting evidence, and present them in a prioritized roadmap format.

Quick Start

Use the pm-feedback skill to synthesize all user feedback from the last quarter and output the top 3 product priorities.

Frequently Asked Questions about pm-feedback

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

FAQPage Schema

How do I synthesize user feedback from multiple channels into product insights?▼

To synthesize user feedback, this Skill consolidates qualitative data from surveys, interviews, support tickets, and social media to generate actionable product insights and quantitative priorities for your roadmap.

What is the best way to prioritize product features from voice of customer data?▼

Prioritizing product features from voice of customer data involves analyzing sentiment and categorizing qualitative feedback to extract top feature requests, transforming raw user comments into strategic roadmap recommendations.

Can I turn qualitative survey responses into quantitative roadmap priorities?▼

Yes, you can turn qualitative survey responses into quantitative roadmap priorities by extracting actionable product insights through sentiment analysis and categorization, converting open text into ranked strategic recommendations.

Does this approach work for analyzing customer satisfaction from support tickets and social media?▼

This approach works for analyzing customer satisfaction by synthesizing multi-channel feedback from support tickets and social media, running sentiment analysis to identify friction points and improvement strategies.

How do I extract the top feature requests from hundreds of user comments?▼

You can extract top feature requests by feeding raw user comments into the feedback synthesis process, which categorizes the qualitative data and outputs prioritized feature requests with supporting evidence.