pain-gain-detector

Name: pain-gain-detector
Availability: InStock
Author: anserindicus

Analyze user discussions to extract and quantify pain points and delights.

1|Updated Mar 5, 2026

Search Tags:#prioritization #delight #sentiment analysis #product insights #user feedback #pain point

Ready to run

npx skills add https://github.com/anserIndicus/community-research-skills --skill pain-gain-detector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pain-gain-detector
Source: https://github.com/anserIndicus/community-research-skills/tree/main/pain-gain-detector
Command: npx skills add https://github.com/anserIndicus/community-research-skills --skill pain-gain-detector

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill pinpoints and quantifies user pain points and delights from community discussions, providing clear priorities for product development.

Core Features & Use Cases

Pain Point Identification: Extracts and categorizes user complaints (functional defects, missing features, performance issues, etc.).
Delight Identification: Identifies user positive feedback and unique product advantages.
Impact Scoring: Quantifies the severity and frequency of each point using a multi-dimensional scoring system.
Use Case: A product manager wants to understand the most critical issues users face with their new feature. They can use this Skill to get a ranked list of pain points, complete with user quotes and severity levels, to guide the next iteration.

Quick Start

Analyze the provided discussion data to identify and rank the top 5 user pain points.

Frequently Asked Questions about pain-gain-detector

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

FAQPage Schema

How do I extract and prioritize user pain points from community discussions?▼

To extract and prioritize user pain points from discussions, this Skill analyzes sentiment, frequency, user diversity, and engagement to generate a ranked list of functional defects and performance issues based on impact score.

What is the best way to identify user delights and positive feedback in product insights?▼

Identifying user delights in product insights involves analyzing discussions to extract user-generated positive feedback and unique product advantages, categorizing them alongside pain points to balance product development priorities.

How do I quantify the severity of missing features and performance issues reported by users?▼

Quantifying the severity of missing features and performance issues requires a multi-dimensional impact scoring system that evaluates scenario specificity, user diversity, and complaint frequency to generate detailed insights.

Can I use sentiment analysis to rank product feedback for my next iteration?▼

Yes, you can use sentiment analysis to rank product feedback. This Skill processes user discussions to quantify both delights and pain points, providing a prioritized list complete with severity levels and user quotes to guide iterations.

Does this approach work for analyzing diverse user feedback across different scenarios?▼

Yes, this approach works for diverse user feedback by specifically measuring user diversity and scenario specificity during the analysis, ensuring the ranked reports reflect varied engagement contexts and distinct product use cases.