What types of data can this skill process?

The skill can analyze a wide variety of sources including CSV files, PDFs, survey responses, social listening reports, and raw review datasets.

How does it prioritize product recommendations?

Insights are prioritized by a combination of frequency, the severity of the friction point, and the estimated impact on business goals.

Can I use this for NPS (Net Promoter Score) analysis?

Absolutely. It identifies key satisfaction drivers and detractors, acting as a powerful proxy for understanding the 'why' behind your NPS results.

How is the sentiment score calculated?

The skill assigns a qualitative-to-quantitative score ranging from -1 (extremely negative) to +1 (extremely positive) based on the tone and context of user feedback.

Does this skill support Jobs-to-be-Done (JTBD) frameworks?

Yes, it specifically identifies the core jobs users are trying to accomplish and maps them to desired outcomes for each identified segment.

User Sentiment Analysis

Name: User Sentiment Analysis
Author: bowiemax

bybowiemax

0•

데이터 과학 및 ML

Analyzes qualitative user feedback at scale to identify market segments, sentiment scores, and product improvement opportunities.

The Sentiment Analysis skill empowers product managers and researchers to transform raw feedback—from surveys, reviews, and social listening—into structured, actionable insights. By leveraging Claude’s synthesis capabilities, it identifies distinct user segments, assigns sentiment scores, and uncovers Jobs-to-be-Done (JTBD) patterns across large datasets. This skill is particularly useful for quickly processing thousands of customer interactions to discover the root causes of churn or to validate feature satisfaction across diverse personas, providing a balanced view of product strengths and weaknesses.

주요 기능

010 GitHub stars

02Sentiment scoring (-1 to +1) for quantitative satisfaction mapping

03Impact assessment based on frequency and business severity

04Automated segmentation and persona identification from raw data

05Synthesis of Jobs-to-be-Done (JTBD) and desired outcomes

06Direct quote extraction to ground findings in qualitative evidence

사용 사례

01Processing NPS survey responses to segment users by sentiment and usage patterns

02Synthesizing qualitative interview transcripts into structured JTBD frameworks

03Analyzing thousands of customer reviews to identify top pain points for a mobile app

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bowiemax/pm-skills sentiment-analysis

For use in Claude.ai and ChatGPT

주요 기능

010 GitHub stars

02Sentiment scoring (-1 to +1) for quantitative satisfaction mapping

03Impact assessment based on frequency and business severity

04Automated segmentation and persona identification from raw data

05Synthesis of Jobs-to-be-Done (JTBD) and desired outcomes

06Direct quote extraction to ground findings in qualitative evidence

사용 사례

01Processing NPS survey responses to segment users by sentiment and usage patterns

02Synthesizing qualitative interview transcripts into structured JTBD frameworks

03Analyzing thousands of customer reviews to identify top pain points for a mobile app

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bowiemax/pm-skills sentiment-analysis

For use in Claude.ai and ChatGPT