Analytics & Monitoring

Comprehensive analytics and monitoring capabilities to track your AI agent performance, user engagement, and system health.

Overview

Trogent provides detailed analytics to help you understand how your agents are performing, who they’re engaging with, and how to optimize their effectiveness. Monitor real-time activity, track key metrics, and make data-driven decisions to improve your agent strategy.

Key Features

Real-time Monitoring: Live agent status and activity tracking
Performance Metrics: Response times, engagement rates, and success metrics
User Analytics: User interaction patterns and behavior insights
Platform Breakdown: Performance across different platforms (Telegram, Website)
Conversation Analysis: Detailed conversation history and patterns
Export Capabilities: Data export for further analysis

Dashboard Overview

Quick Stats

Access key metrics at a glance from your main dashboard:

Total Agents: Number of active and inactive agents
Active Conversations: Current ongoing conversations
Messages Today: Daily message volume
Response Rate: Average response success rate
Uptime: System availability percentage
Platform Status: Health status for each platform integration

Real-time Indicators

Agent Status: Live online/offline status for all agents
Platform Connectivity: Real-time platform connection status
Processing Queue: Current knowledge base processing status
System Health: Overall system performance indicators

Agent Performance Analytics

Individual Agent Metrics

Response Performance

Average Response Time: How quickly agents respond to messages
Response Success Rate: Percentage of successful responses
Error Rate: Failed response attempts and reasons
Message Volume: Total messages processed over time periods

Engagement Quality

Conversation Length: Average number of exchanges per conversation
User Retention: Return user percentages
Satisfaction Indicators: User engagement patterns
Knowledge Base Utilization: How often custom knowledge is used

Platform-Specific Performance

Telegram Metrics: Bot command usage, group vs. private message performance
Website Widget Metrics: Visitor engagement, conversion rates, session duration

Comparative Analysis

Agent Comparison: Side-by-side performance metrics
Time Period Analysis: Performance trends over days, weeks, months
Platform Comparison: Performance differences across platforms
Model Comparison: Performance differences between AI models

User Analytics

User Interaction Patterns

User Segmentation

New vs. Returning Users: First-time interactions vs. repeat users
Platform Preferences: User distribution across platforms
Geographic Distribution: User locations (where available)
Activity Patterns: Peak usage times and patterns

Conversation Analysis

Session Duration: How long users engage with agents
Message Frequency: Average messages per user session
Topic Distribution: What users are asking about most
Resolution Rates: How often user queries are successfully resolved

User Journey Tracking

Conversation Flow: How conversations typically progress
Drop-off Points: Where users typically end conversations
Success Paths: Common patterns in successful interactions
Escalation Points: When users need human intervention

Privacy-Compliant Analytics

Anonymized Data: User analytics without personal identification
Aggregated Metrics: Statistical analysis without individual tracking
Retention Policies: Automatic data cleanup based on retention settings
GDPR Compliance: Privacy-first analytics approach

Platform-Specific Analytics

Telegram Analytics

Bot Performance

Command Usage: Most used custom commands
Group vs. Private: Performance differences between message types
User Growth: New bot users over time
Message Types: Text, media, document interaction rates

Engagement Metrics

Response Rates: How often users respond to bot messages
Session Patterns: Common interaction flows
Active Hours: Peak usage times for bot interactions
Error Analysis: Common issues and failure points

Visitor Engagement

Widget Impressions: How often the widget is viewed
Engagement Rate: Percentage of visitors who start conversations
Page Performance: Which pages generate most interactions
Conversion Tracking: From widget interaction to desired outcomes

Technical Metrics

Load Times: Widget loading performance
Device/Browser Distribution: Technology usage patterns
Mobile vs. Desktop: Platform usage differences
Geographic Distribution: Visitor location analysis

Activity Logs & Conversation History

Conversation Monitoring

Real-time Activity Feed

Live Conversations: Currently active conversations
Recent Activity: Latest interactions across all agents
Platform Activity: Activity breakdown by platform
Error Notifications: Real-time error and issue alerts

Conversation History

Complete Transcripts: Full conversation records
Searchable Archive: Find specific conversations or topics
User Journey: Complete user interaction history
Context Preservation: Maintain conversation context over time

Detailed Conversation Analysis

Message Timestamps: Precise timing of all interactions
Response Generation: How responses were created (knowledge base, AI model, etc.)
Success Indicators: Whether responses satisfied user queries
Escalation Points: When conversations needed human intervention

Export and Reporting

Data Export Options

CSV Export: Spreadsheet-compatible data for analysis
JSON Export: Machine-readable data for integrations
PDF Reports: Formatted reports for sharing
Custom Date Ranges: Export data for specific time periods

Report Types

Performance Summary: Key metrics overview
Conversation Reports: Detailed interaction analysis
User Behavior Reports: User engagement patterns
Platform Performance Reports: Platform-specific insights

Notifications & Alerts

Real-time Notifications

System Alerts

Agent Status Changes: When agents go online/offline
Platform Connectivity Issues: Connection problems with Telegram, etc.
Error Notifications: Critical errors requiring attention
Performance Warnings: Unusual activity or performance issues

Customizable Alerts

Threshold Alerts: Set custom thresholds for metrics
Error Rate Alerts: Notifications when error rates exceed limits
Usage Alerts: Notifications about unusual usage patterns
Maintenance Alerts: Scheduled maintenance notifications

Notification Channels

In-Platform Notifications: Real-time notifications within Trogent
Email Alerts: Critical notifications sent to your email
Webhook Integration: Send notifications to external systems
Mobile Notifications: Push notifications for critical issues

Performance Optimization

Analytics-Driven Insights

Automated Recommendations

Performance Optimization: Suggestions based on analytics data
Content Improvements: Knowledge base optimization recommendations
Configuration Adjustments: Agent settings optimization
Resource Allocation: Optimal resource usage suggestions

A/B Testing Support

Configuration Variants: Test different agent configurations
Performance Comparison: Compare results across variants
Statistical Significance: Automated statistical analysis
Rollout Management: Gradual deployment of optimizations

Resource Management

Usage Monitoring: Track API usage and costs
Capacity Planning: Predict future resource needs
Cost Optimization: Identify opportunities to reduce costs
Performance Scaling: Automatic scaling based on demand

Advanced Analytics Features

Custom Dashboards (Coming Soon)

Personalized Views: Create custom dashboard layouts
Widget Configuration: Choose which metrics to display
Team Dashboards: Shared dashboards for team collaboration
Embedded Analytics: Embed analytics in external systems

API Analytics Access (Coming Soon)

REST API: Programmatic access to analytics data
Real-time Streaming: Live data feeds for external systems
Custom Integrations: Connect with business intelligence tools
Data Warehouse Integration: Export to data warehouses

Advanced Reporting (Coming Soon)

Scheduled Reports: Automated report generation and delivery
Custom Report Builder: Create tailored reports
Trend Analysis: Advanced statistical analysis and forecasting
Competitive Analysis: Benchmark against industry standards

Data Privacy & Security

Data Protection

Encryption: All analytics data encrypted at rest and in transit
Access Control: Role-based access to sensitive analytics
Audit Logs: Complete tracking of data access
Retention Policies: Configurable data retention periods

Compliance

GDPR Compliance: European data protection compliance
Data Anonymization: Remove personally identifiable information
Right to be Forgotten: User data deletion capabilities
Data Portability: Export user data on request

Security Monitoring

Access Monitoring: Track who accesses analytics data
Anomaly Detection: Unusual access pattern alerts
Intrusion Detection: Monitor for unauthorized access
Security Audits: Regular security assessment and reporting

Best Practices

Analytics Strategy

Define Key Metrics: Identify what success looks like for your agents
Regular Monitoring: Establish routine analytics review schedules
Baseline Establishment: Create performance baselines for comparison
Goal Setting: Set specific, measurable improvement targets

Data-Driven Optimization

Regular Analysis: Consistent analysis of performance trends
Iterative Improvement: Use data to guide incremental improvements
Testing Culture: Regular A/B testing of configurations
User Feedback Integration: Combine analytics with user feedback

Privacy Considerations

Minimal Data Collection: Collect only necessary data
User Consent: Ensure proper consent for data collection
Regular Cleanup: Implement data retention and cleanup policies
Transparency: Be clear about what data is collected and how it’s used