Analytics
Gain insights into your AI agents performance, usage patterns, and operational efficiency
The Analytics section provides comprehensive insights into your AI agents’ performance, usage patterns, and operational efficiency, helping you make data-driven decisions about optimization and development.
Analytics Overview
The analytics dashboard is divided into several focused areas:
Usage Metrics
Track how your agents are being used
Performance Comparison
Compare different agents or versions
Cost Analysis
Monitor and optimize your spending
Usage Trends
Identify patterns and forecast future needs
Usage Metrics
The Usage Metrics section tracks how your agents are being used:
- Total requests over time
- Requests by agent or category
- Peak usage periods
- Request distribution by time
- Total requests over time
- Requests by agent or category
- Peak usage periods
- Request distribution by time
- Active users
- Session duration
- Conversation length
- Return rate
- Usage by region
- Time zone patterns
- Language preferences
- Regional performance variations
- Tool usage frequency
- Command popularity
- Feature adoption rates
- Unused capabilities
Performance Comparison
The Performance Comparison section allows you to compare different agents or versions:
Response Time
Compare processing speed and efficiency
Success Rates
Analyze task completion and error rates
User Satisfaction
Compare feedback and satisfaction scores
Cost Efficiency
Analyze value delivered per token or request
Comparison features include:
- Side-by-side metric visualization
- Percentage difference calculation
- Statistical significance testing
- Historical trend comparison
- Benchmark comparison
Cost Analysis
The Cost Analysis section helps you monitor and optimize your spending:
Usage Tracking
Monitor token consumption and API calls
Cost Breakdown
Analyze spending by agent, feature, or time period
Budget Management
Track spending against budgets and set alerts
Optimization Recommendations
Receive suggestions for cost reduction
Usage Trends
The Usage Trends section helps you identify patterns and forecast future needs:
- Daily patterns
- Weekly cycles
- Monthly trends
- Seasonal fluctuations
- Daily patterns
- Weekly cycles
- Monthly trends
- Seasonal fluctuations
- User growth rate
- Usage intensity changes
- Feature adoption velocity
- Retention patterns
- Related usage patterns
- Impact of external factors
- Feature interdependencies
- User behavior correlations
- Short-term projections
- Long-term forecasts
- Capacity planning
- Resource allocation guidance
Custom Reports
Xenovia allows you to create custom reports tailored to your specific needs:
Select Metrics
Choose which data points to include
Configure Visualizations
Select chart types and display options
Set Filters
Define data subsets to analyze
Schedule Delivery
Set up automated report generation and distribution
Data Export
Analytics data can be exported in various formats:
- CSV/Excel: For detailed data analysis
- PDF Reports: For sharing and presentation
- API Access: For integration with other systems
- Dashboard Links: For sharing interactive views