Summary
Astra provides detailed analytics for each AI agent, helping you understand how well an individual agent is performing across your website and messaging channels. Use these reports to track conversation outcomes, measure business impact, identify knowledge gaps, and find opportunities to improve your agent's performance.
Instructions
The Agent Analytics page gives you a detailed view of how a specific AI agent is performing. Unlike the main Astra Dashboard, which shows account-wide metrics, Agent Analytics focuses on a single agent.
You can use these reports to:
Monitor conversation performance
Measure how effectively the agent resolves customer inquiries
Understand business impact and time savings
Identify common customer questions
Discover knowledge gaps and escalation trends
Access agent analytics
To view analytics for a specific AI agent:
Log in to your Astra account.
Navigate to Agents from the left-hand menu.
Select the agent you want to analyze.
Open the Analytics section.
The analytics page will display performance data for the selected agent.
Review Astra's business impact
The Astra Impact section provides a high-level overview of how the selected agent contributes to your business.
1. Conversations handled
Shows the total number of conversations handled by the agent across all supported channels during the selected timeframe.
2. Time saved
Estimates the amount of time saved by automating conversations that would otherwise require assistance from a human support team member.
3. Resolution rate
Shows the percentage of conversations successfully resolved without human intervention.
4. Languages handled
Displays the number of unique languages in which the agent successfully supported users.
Analyze conversation performance
The Overview Report and Conversation Funnel provide a detailed breakdown of how conversations are handled from start to finish.
1. Core metrics
These metrics help you evaluate the overall effectiveness of the agent.
Total conversations
The total number of conversations handled during the selected period.
Resolution rate
The percentage of conversations resolved without escalating to a human team member.
Average handle time
The average time required to resolve a conversation, measured in minutes.
Drop-off rate
The percentage of users who leave the conversation before receiving a helpful answer or after expressing dissatisfaction with the AI's response.
2. Understand conversation trends and outcomes
The analytics page also includes reports that help you understand customer behavior and identify improvement opportunities.
Conversation funnel
The conversation funnel shows how conversations progress through different stages:
Total conversations
Resolved conversations
Escalated conversations
Dropped conversations
This helps you understand where conversations are succeeding and where users may be leaving the experience.
Conversation volume trend
Displays conversation activity over time, allowing you to identify trends and peak traffic periods.
You can view performance across:
Text Agent performance
Voice Agent performance
This helps you understand when customers are most actively engaging with your AI agent.
Coming soon
The following analytics capabilities are currently under development and will be available in a future release:
Top FAQ categories
View the topics and categories customers ask about most frequently.
This will help you:
Understand customer interests and support needs
Identify trending topics and recurring questions
Improve knowledge base content and training materials
Prioritize areas that need additional documentation or support resources
Knowledge gaps
Identify questions and topics that your AI agent is unable to answer confidently.
This will help you:
Discover missing information in your knowledge base
Expand coverage for frequently asked questions
Improve AI agent training and response quality
Reduce unanswered queries and improve customer experience






