feedback-analyzer

Categorize customer feedback into six themes and generate prioritized executive reports.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/jtucker9/mystuff --skill feedback-analyzer-jtucker9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-analyzer
Source: https://github.com/jtucker9/mystuff/tree/main/skills/product/feedback-analyzer
Command: npx skills add https://github.com/jtucker9/mystuff --skill feedback-analyzer-jtucker9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps teams transform raw customer feedback into organized, prioritized insights that drive product decisions.

Core Features & Use Cases

  • Feedback categorization: classify input into themes such as Bug Report, Feature Request, UX Issue, Praise, Confusion, and Churn.
  • Sentiment & trend analysis: compute sentiment per category and overall to gauge satisfaction and urgency.
  • Roadmap alignment & quick wins: map feedback to roadmap items and identify high-impact, low-effort actions.
  • Executive reporting: generate summaries and action items suitable for leadership reviews.

Quick Start

Paste your raw feedback data and run the analysis to generate a prioritized report.

Frequently Asked Questions about feedback-analyzer

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

FAQPage Schema
How do I categorize and prioritize customer feedback for my product roadmap?

Categorize and prioritize customer feedback by applying a six-category taxonomy, sentiment analysis, and impact scoring to generate structured data and prioritized roadmap action items.

What types of customer feedback can I analyze to generate feature specs?

You can analyze support tickets, app reviews, surveys, and user forums to generate structured data, executive reports, and feature specs for your product roadmap.

Can I use this tool to identify quick wins from app reviews and support tickets?

Yes, you can identify quick wins by mapping categorized support tickets and app reviews to existing roadmap items to highlight high-impact, low-effort actions.

What is the best way to track churn and confusion trends in user feedback?

Track churn and confusion trends by applying sentiment analysis and frequency ranking to user feedback, computing satisfaction levels and urgency across specific categories.

How do I generate an executive report from raw user survey data?

Generate an executive report from survey data by running raw feedback through categorization and impact scoring to produce summaries and action items suitable for leadership reviews.

Does this feedback analysis approach work for both bug reports and feature requests?

Yes, the feedback analysis explicitly handles both bug reports and feature requests, categorizing them alongside UX issues and praise to align outputs with your roadmap.