Claude Code GitHub Issue Clustering

Analyzes GitHub issues to identify user pain clusters, severity trends, and actionable recommendations for product teams.

What it does

• Clusters issues by root cause - Groups related issues even if they have different titles
• Calculates severity scores - Based on issue count, comment velocity, critical keywords, and escalation patterns
• Detects trends - Compares recent vs previous week to identify problems getting worse
• Generates recommendations - Prioritized actions with team ownership

Usage

python pain_analyzer.py

Outputs a markdown report with:

• Executive summary
• Top pain clusters ranked by severity
• Trending up/down analysis
• Recommended actions with P0/P1/P2 priorities

Sample Output

See sample_report.md for an example analysis.

Requirements

• Python 3.8+
• No external dependencies (uses only stdlib)