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sentiment-analysis

Analyze user feedback data to identify market segments with sentiment scores and JTBD insights.

Updated Aug 27, 2026
Search Tags:#jobs-to-be-done#sentiment#data-synthesis#feedback-analysis#product-insights#market-segments#nps-proxy
One-click install
npx skills add https://github.com/jupitermoney/pm-superic-skills --skill sentiment-analysis-jupitermoney
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentiment-analysis
Source: https://github.com/jupitermoney/pm-superic-skills/tree/main/pm-market-research/skills/sentiment-analysis
Command: npx skills add https://github.com/jupitermoney/pm-superic-skills --skill sentiment-analysis-jupitermoney

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze large-scale user feedback data to identify market segments with sentiment scores, JTBD, and product satisfaction insights, enabling data-driven product decisions.

Core Features & Use Cases

  • Segment discovery through sentiment signals and JTBD mapping
  • Per-segment sentiment scoring and prioritization
  • Structured output with actionable recommendations and traceability to sources

Quick Start

Identify segments and produce actionable segment profiles from your feedback dataset.

Frequently Asked Questions about sentiment-analysis

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

FAQPage Schema
How do I analyze large-scale user feedback to identify market segments and sentiment?▼

Segment discovery from user feedback works by identifying sentiment signals and mapping jobs-to-be-done within your data. It synthesizes these inputs to score sentiment per segment and outputs structured profiles with prioritization and an auditable trail to original sources.

Can I use survey and review data from PDFs to extract product satisfaction insights?▼

Yes, you can process feedback data from PDFs, CSVs, surveys, and reviews to extract product satisfaction insights. The analysis identifies distinct market segments and synthesizes structured results with traceable sources for data-driven decisions.

What is the best way to map jobs-to-be-done and sentiment scores from product reviews?▼

Yes, you can process feedback data from PDFs, CSVs, surveys, and reviews to extract product satisfaction insights. The analysis identifies distinct market segments and synthesizes structured results with traceable sources for data-driven decisions.

Does sentiment analysis work with raw CSV exports from customer feedback platforms?▼

The best way to map jobs-to-be-done and sentiment scores is by synthesizing feedback data into actionable segment profiles. This approach scores sentiment per segment, prioritizes the segments, and provides an auditable trail linking insights back to source data.

How do I turn unstructured customer feedback into actionable segment profiles?▼

Yes, sentiment analysis works directly with raw CSV exports alongside surveys, reviews, and PDFs. It reads the raw data, identifies market segments through sentiment signals, and outputs structured segment profiles with prioritization and traceable sources.

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