Types
- Rule-based: Automated analysis based on metrics
- AI-powered: LLM insights with confidence scores
Categories
- Process: Workflow and review optimizations
- Engagement: Contributor onboarding and recognition
- Issue author participation
- Review diversity improvements
- Discussion engagement
- Performance: Merge times and bottlenecks
- Quality: Testing and documentation
- Diversity: Expanding contributor base across different activities
Priority
🔴 High - Critical impact🟠 Medium - Worth implementing
🔵 Low - Nice to have Each card shows priority, description, confidence score, and action links.
Common Recommendations
Based on the enhanced health metrics, you may see recommendations like:- “Encourage more community members to report issues and provide feedback” (when issue engagement < 3 unique authors)
- “Increase code review coverage to improve quality” (when review coverage < 50%)
- “Expand your reviewer pool for better knowledge distribution” (when reviewer count is low)
- “Improve contributor retention through better onboarding” (when bus factor is concerning)