sentiment-analysis

Name: sentiment-analysis
Availability: InStock
Author: osirs

Analyze user feedback to identify market segments with sentiment scores.

Updated Mar 8, 2026

Search Tags:#sentiment analysis #user feedback #market segmentation #qualitative data #jtbd #customer satisfaction

Ready to run

npx skills add https://github.com/Osirs/pm-skills-sc --skill sentiment-analysis-osirs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/Osirs/pm-skills-sc/tree/main/.trae/skills/sentiment-analysis
Command: npx skills add https://github.com/Osirs/pm-skills-sc --skill sentiment-analysis-osirs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the analysis of large volumes of user feedback to identify market segments, gauge satisfaction levels, and uncover opportunities for product enhancement.

Core Features & Use Cases

Feedback Analysis: Processes various feedback sources (surveys, reviews, social media) to extract themes and sentiment.
Segmentation: Identifies distinct user segments based on feedback patterns.
Satisfaction Measurement: Assigns sentiment scores and identifies drivers of satisfaction and dissatisfaction.
Use Case: Analyze customer support tickets to identify the top 3 pain points for users of the 'new dashboard' feature and suggest product improvements.

Quick Start

Analyze the attached customer survey responses to identify key themes and sentiment for each user segment.

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 to identify market segments and satisfaction patterns?▼

User feedback analysis identifies distinct market segments by processing qualitative data like surveys and reviews, assigning sentiment scores to each segment to reveal satisfaction drivers and product improvement opportunities.

How do I extract Jobs-to-be-Done from large volumes of customer survey responses?▼

Extracting Jobs-to-be-Done from customer surveys involves analyzing qualitative data to map user feedback patterns directly to specific market segments, revealing the core tasks users are trying to accomplish and their satisfaction levels.

Can I use this sentiment analysis tool for large-scale customer support tickets?▼

Yes, you can use this sentiment analysis tool for large-scale customer support tickets to identify top pain points, gauge satisfaction levels, and extract actionable product improvement suggestions for specific features like a new dashboard.

What is the best way to measure customer satisfaction across different feedback sources?▼

The best way to measure customer satisfaction across feedback sources is to process qualitative data from surveys, reviews, and social media, assigning sentiment scores to distinct market segments to identify specific drivers of dissatisfaction.

Does this qualitative data analysis approach work for identifying pain points in product reviews?▼

Yes, this qualitative data analysis approach works for product reviews by processing the feedback to identify distinct user segments, assigning sentiment scores, and highlighting specific pain points and improvement opportunities.

What limitations exist when segmenting market segments from social media feedback?▼

When segmenting market segments from social media feedback, the main limitation is relying entirely on the quality of qualitative data provided, as the analysis depends on existing patterns to accurately assign sentiment scores and extract themes.