Atri AI Chat Analytics

Transform every conversation into actionable intelligence with comprehensive analytics that reveal user behavior, content performance, and engagement patterns to optimize your AI chat experience.

Analytics Overview

Atri AI Chat Analytics provides deep insights into how users interact with your AI assistant, what topics they're most interested in, and how your knowledge sources are performing. Our analytics suite helps you understand user needs, identify content gaps, and continuously improve your conversational AI experience.

📊 Real-Time Insights

Monitor conversations, user behavior, and content performance as they happen

🎯 User Segmentation

Automatically categorize users based on engagement patterns and behavior

📈 Actionable Intelligence

Transform raw data into strategic insights for optimization and growth

Core Analytics Features

Our analytics platform provides comprehensive insights across four key areas of your conversational AI performance:

Conversation Metrics

Track essential conversation statistics including unique consumers, chat sessions, message volume, and response times to understand overall platform usage and performance.

  • Real-time conversation volume tracking
  • Average response time monitoring
  • Chat session analysis and duration metrics
  • User engagement patterns over time

User Insights & Segmentation

Gain deep understanding of your users through behavioral analysis, conversation patterns, and automated user categorization that helps personalize experiences.

  • Consumer category classification (Strangers, Acquaintances, Familiar Faces, Confidants, Evangelists)
  • Individual user journey tracking and conversation history
  • User intent analysis and preference identification
  • Behavioral pattern recognition across user segments

Topic & Content Analysis

Discover what topics users are most interested in, identify trending conversation themes, and understand which content areas need attention or expansion.

  • Popular topic identification and trending analysis
  • Consumer intent categorization and distribution
  • Content gap analysis through conversation patterns
  • Topic evolution tracking over time

Source Attribution & Performance

Monitor how your knowledge sources are being utilized, which documents are most frequently cited, and identify opportunities to optimize your content strategy.

  • Source citation frequency and popularity tracking
  • Knowledge source utilization analysis
  • Content performance metrics by source type
  • Citation patterns and user preference insights

Analytics Tiers

Our analytics platform offers three levels of insight depth to match your analytical needs:

Basic Analytics

Essential metrics for understanding overall platform performance and user engagement patterns.

  • Core conversation metrics dashboard
  • User engagement trends over time
  • Basic topic and source performance
  • Standard reporting and data visualization

Advanced Analytics

Detailed insights into user behavior, conversation patterns, and content performance with enhanced segmentation capabilities.

  • Detailed user segmentation and journey mapping
  • Advanced topic analysis and intent categorization
  • Comprehensive source attribution tracking
  • Custom filtering and drill-down capabilities

Analyze with AI

Coming Soon

Intelligent insights powered by AI that offers a conversational way to deep dive into your data.

  • Query your data about user behavior, conversation patterns, and content performance
  • Generate custom visualizations by giving instructions to an AI analytics assistant
  • Intelligent alerting for significant changes

Key Performance Indicators

Monitor the metrics that matter most for your conversational AI success:

  • Unique Consumers: Track the number of distinct users engaging with your AI assistant over time
  • Chat Sessions: Monitor conversation frequency and user return patterns
  • Average Response Time: Ensure optimal performance with real-time response time tracking
  • Message Volume: Understand conversation depth and user engagement levels
  • Source Citations: Track which knowledge sources are most valuable to users
  • Topic Trends: Identify emerging topics and popular conversation themes

User Segmentation

Automatically categorize users based on their interaction patterns and engagement levels:

  • Strangers: New users in their first interactions with the AI assistant
  • Acquaintances: Users who have had multiple conversations but limited depth
  • Familiar Faces: Regular users with established conversation patterns
  • Confidants: Highly engaged users with deep, frequent interactions
  • Evangelists: Power users who demonstrate strong engagement and advocacy

Data Export & Integration

Download your raw data for custom analysis and reporting purposes. Download options are available in the analytics dashboard. You can download either the raw messages data under Basic Analytics or processed data in different formats under Advanced Analytics. The data will be downloaded in .csv format.