skills.rest
serejaris
serejarisCOMMUNITY
Explore all skills by this author →
GitHub

pm-feedback

Classifies feedback into six categories and generates a Top-10 pain points report.

215|26|Updated Dec 15, 2025
Search Tags:#product-management#nps#triangulation#sentiment-analysis#feedback-analysis#topic-clustering
One-click install
npx skills add https://github.com/serejaris/personal-corp-skills --skill pm-feedback-serejaris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pm-feedback
Source: https://github.com/serejaris/personal-corp-skills/tree/main/skills/pm-feedback
Command: npx skills add https://github.com/serejaris/personal-corp-skills --skill pm-feedback-serejaris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reviews, support tickets, and survey exports are noisy—pain points hide in volume. This skill structures raw feedback into a decision-driving insight report and surfaces Top-10 pains with actionable recommendations.

Core Features & Use Cases

  • Classifies feedback into six categories (feature request, bug report, usage question, UX complaint, positive review, other) and performs sentiment analysis.
  • Clusters themes, triangulates data across sources, and produces trend analyses to identify persistent issues and opportunities for improvement.
  • Generates persona insights and a concise improvement report to guide backlog prioritization and product decisions.

Quick Start

Analyze this feedback spreadsheet and generate the top pain points with recommended actions.

Frequently Asked Questions about pm-feedback

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

FAQPage Schema
How do I analyze user feedback from an Excel spreadsheet to find product pain points?▼

To analyze user feedback, import your Excel or CSV file containing raw reviews, tickets, or surveys. The system classifies feedback into six categories, performs sentiment analysis, and outputs a Top-10 pain points report with recommended actions.

How does sentiment analysis and topic clustering work on raw survey exports?▼

Sentiment analysis evaluates text to determine user attitude, while topic clustering groups similar feedback to triangulate data across sources. This process identifies persistent issues and trend analyses to guide product backlog prioritization.

Does this feedback analysis tool work with plain text and multiple source channels?▼

Yes, this feedback analysis tool processes plain text alongside Excel and CSV inputs. It accommodates multiple source channels like reviews, support tickets, and surveys to triangulate data and generate comprehensive persona insights.

Can I automatically classify feature requests and bug reports from customer support tickets?▼

You can automatically classify customer support tickets into six distinct categories including feature requests, bug reports, usage questions, and UX complaints. It structures raw feedback to surface actionable insights for product decisions.

What is the best way to prioritize a product backlog using NPS and user review trends?▼

Prioritize a product backlog by applying NPS and trend analysis to your feedback data. The system generates a concise improvement report that highlights the Top-10 pain points and provides recommended actions to guide decisions.

How do I generate a summary report of customer pain points from a CSV file?▼

To generate a summary report of customer pain points, apply the analysis to your CSV file. It extracts themes, calculates NPS, and produces a concise improvement report detailing personas and actionable recommendations.

Related Skills

Explore More Product & Management Skills→
elophantoelophanto
116

feedback-synthesis

Aggregate multi-channel user feedback into actionable product insights.

Community
Advanced
jordi-murgojordi-murgo

backlog-manager

Organize product ideas and pain points into a structured backlog.

Community
Intermediate
nicepkgnicepkg
276

customer-feedback-analyzer

Categorize and prioritize user feedback using a scoring formula.

Official
Advanced
shalevaminshalevamin

sentiment-analysis

Analyze user feedback to identify segments, sentiment, and improvement opportunities.

Community
Intermediate