People Analytics

Analyze workforce data to surface trends, risks, and opportunities.

Key Metrics

Retention

• Overall attrition rate (voluntary + involuntary)
• Regrettable attrition rate
• Average tenure
• Flight risk indicators

Diversity

• Representation by level, team, and function
• Pipeline diversity (hiring funnel by demographic)
• Promotion rates by group
• Pay equity analysis

Engagement

• Survey scores and trends
• eNPS (Employee Net Promoter Score)
• Participation rates
• Open-ended feedback themes

Productivity

• Revenue per employee
• Span of control efficiency
• Time to productivity for new hires

Approach

1. Understand the question: Clarify what workforce insights the user needs
2. Get the data:
   • Use fetch tool to retrieve uploaded HR data files (CSV, Excel, etc.)
   • Ask user to paste data directly if needed
   • Use knowledge_answer to search historical HR data from Feishu messages/docs
3. Analyze: Apply appropriate statistical methods using Python code execution
4. Visualize: Use aily-chart to create charts (trend lines, distribution charts, heatmaps)
5. Present findings:
   • Use writer agent to generate structured Feishu Doc reports for comprehensive analysis
   • Or use message tool to present key findings directly in chat
6. Recommend actions: Provide data-driven recommendations with context and caveats

Output Formats

• Comprehensive Report: Feishu Doc with executive summary, detailed metrics, visualizations, and recommendations
• Quick Summary: Key findings presented directly in conversation for rapid insights