customer-feedback-analysis
CommunityUnlock customer insights from feedback.
Product & Management#sentiment analysis#insight generation#customer feedback#customer satisfaction#theme extraction#NPS analysis
Authorseb1n
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill transforms raw, unstructured customer feedback into actionable insights, helping businesses understand customer sentiment, identify key themes, and drive product improvements.
Core Features & Use Cases
- Theme Extraction: Identifies recurring topics and sentiment from open-text feedback.
- Quantitative Analysis: Calculates NPS, CSAT, and score distributions across customer segments.
- Trend Identification: Tracks changes in feedback over time and correlates them with business events.
- Insight Reporting: Generates comprehensive reports with executive summaries and recommended actions.
- Use Case: Analyze NPS survey results to pinpoint why detractors are unhappy and what promoters love, then use these insights to prioritize product roadmap items.
Quick Start
Analyze our Q4 NPS survey results (850 responses) and break down scores by plan tier.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: customer-feedback-analysis Download link: https://github.com/seb1n/awesome-ai-agent-skills/archive/main.zip#customer-feedback-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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