sentiment-analysis

Analyze user feedback from CSV, PDF, or surveys to identify market segments and sentiment scores.

Updated Mar 15, 2026

Search Tags:#market research #sentiment analysis #product insights #user feedback #user segmentation #customer satisfaction

Ready to run

npx skills add https://github.com/bowiemax/pm-skills --skill sentiment-analysis-bowiemax

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/bowiemax/pm-skills/tree/main/pm-market-research/skills/sentiment-analysis
Command: npx skills add https://github.com/bowiemax/pm-skills --skill sentiment-analysis-bowiemax

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill analyzes large volumes of user feedback to identify distinct market segments, gauge their satisfaction levels, and pinpoint areas for product improvement.

Core Features & Use Cases

Segment Identification: Automatically groups feedback into meaningful user segments.
Sentiment Scoring: Assigns sentiment scores to understand user satisfaction.
Actionable Recommendations: Provides targeted suggestions for product enhancements per segment.
Use Case: Analyze thousands of app reviews to understand why different user groups are happy or unhappy, and identify the top 3 features to improve for each group.

Quick Start

Analyze the attached user survey responses to identify key segments and their sentiment.

Frequently Asked Questions about sentiment-analysis

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

FAQPage Schema

How do I analyze user feedback data for sentiment and product satisfaction insights?▼

To analyze user feedback for sentiment and product satisfaction, provide raw data sources like CSV, PDF, or survey responses for direct analysis. The system identifies market segments, assigns sentiment scores, and extracts jobs-to-be-done to pinpoint areas for product improvement.

Can I use survey responses to identify market segments and their specific sentiment scores?▼

Yes, you can use survey responses to identify market segments and their sentiment scores. The analysis automatically groups feedback into meaningful user segments and gauges their satisfaction levels to reveal distinct patterns across different user groups.

What is the best way to process large-scale app reviews for user segmentation?▼

The best way to process large-scale app reviews for user segmentation is to submit the raw feedback data directly for automated grouping. This approach automatically categorizes responses into meaningful segments and extracts targeted product enhancement recommendations per group.

Does sentiment analysis on CSV or PDF feedback generate actionable recommendations?▼

Sentiment analysis on CSV or PDF feedback does generate actionable recommendations. It evaluates satisfaction levels within user segments and provides targeted suggestions for product enhancements, highlighting the top features to improve for each distinct group.

How do I extract jobs-to-be-done from customer satisfaction surveys?▼

To extract jobs-to-be-done from customer satisfaction surveys, input the survey responses for direct analysis. The system processes the feedback to identify these jobs alongside market segments and sentiment scores, translating raw data into clear product insights.

What limitations exist when processing raw user feedback for product insights?▼

A key limitation when processing raw user feedback for product insights is the requirement for direct analysis of provided sources like CSV or PDF. The accuracy of the segment identification and sentiment scoring depends entirely on the quality and structure of the input feedback data.