Sentiment Analysis
Skill AktivAnalyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
To analyze large-scale user feedback data for market segmentation, satisfaction measurement, and product improvement opportunities, synthesizing feedback into actionable insights.
Funktionen
- Analyze user feedback data (CSV, PDF, surveys, reviews)
- Identify user segments and personas
- Extract recurring themes, pain points, and positive feedback
- Assign sentiment scores (-1 to +1) and satisfaction levels
- Prioritize insights by frequency, severity, and business impact
- Generate actionable recommendations per segment
Anwendungsfälle
- Analyzing user feedback at scale
- Running sentiment analysis on reviews or surveys
- Identifying satisfaction patterns
- Synthesizing qualitative feedback into market segments
Nicht-Ziele
- Performing direct sentiment analysis on raw text without context
- Providing generic LLM responses without structured analysis
- Replacing dedicated survey platforms or data warehousing tools
Maintenance
- warning:Commit recencyThe last commit was over 12 months ago (2026-04-22), indicating potential unmaintained status.
Trust
- warning:Issues AttentionThere are 8 open issues and 0 closed issues in the last 90 days, indicating slow or no response to reported problems.
Versioning
- warning:Release ManagementNo version information is present in the manifest or CHANGELOG, and installation instructions reference 'main', making version pinning impossible.
Compliance
- info:GDPRThe skill analyzes user feedback data, which may contain personal data. While it doesn't explicitly submit this to a third party, the LLM processing means personal data might be submitted without explicit sanitization beyond what the LLM itself provides.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add phuryn/pm-skills/plugin install pm-market-research@pm-skillsQualitätspunktzahl
Vertrauenssignale
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