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sentiment-analysis

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

Updated Mar 7, 2026
Search Tags:#product management#sentiment analysis#customer insights#user feedback#market segmentation#satisfaction analysis
One-click install
npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill sentiment-analysis-shalevamin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/shalevamin/The-_Ultimate_agents/tree/main/.claude/skills/sentiment-analysis
Command: npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill sentiment-analysis-shalevamin

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 customer segments, understand their satisfaction levels, and pinpoint key areas for product improvement.

Core Features & Use Cases

  • Segment Identification: Groups users based on feedback patterns.
  • Sentiment Scoring: Quantifies satisfaction levels for each segment.
  • Insight Synthesis: Provides actionable recommendations for product development.
  • Use Case: Analyze 1000 customer survey responses to identify which user segments are most dissatisfied and why, then recommend specific features to address their pain points.

Quick Start

Analyze the attached customer survey data 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 to identify dissatisfied customer segments?▼

Analyzing user feedback identifies distinct customer segments by grouping users based on response patterns. The process extracts sentiment signals to measure satisfaction levels and pinpoints specific product improvement opportunities for those market segments.

What is the best way to measure customer satisfaction from large volumes of survey responses?▼

Measuring customer satisfaction from survey responses involves sentiment scoring to quantify satisfaction levels for each identified user segment. This synthesis transforms raw feedback data into actionable insights organized by sentiment and product-segment fit.

Can I use customer insights to pinpoint specific product improvement opportunities?▼

Customer insights directly pinpoint product improvement opportunities by synthesizing feedback into actionable recommendations. It evaluates product-segment fit and extracts jobs-to-be-done themes to guide specific feature development for dissatisfied users.

How do I extract jobs-to-be-done themes from raw user feedback?▼

Extracting jobs-to-be-done themes from user feedback requires analyzing provided sources to identify patterns and sentiment signals. This process profiles user segments based on their underlying needs and satisfaction levels.

Does sentiment analysis work for profiling market segmentation based on feedback patterns?▼

Sentiment analysis works for market segmentation by grouping users based on extracted feedback patterns. It assesses product-segment fit and generates segment profiles that reveal varying satisfaction levels across different customer groups.

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