Analytics
The Analytics section helps you monitor how your AI agents are performing over time. It provides insights into conversation volume, user feedback, lead generation, and Knowledge Base usage so you can continuously improve accuracy and engagement.
Note: Analytics data is refreshed every hour.
Analytics Filters
Date Range
Select the time period for which you want to view analytics.
- All Time
- Custom date ranges
Agent Filter
View analytics for:
- All agents
- A specific agent only
This helps compare performance across different agents.
Key Metrics
Total Conversations
Shows the total number of conversations handled by your agents within the selected time range.
Use this to:
- Measure chatbot adoption
- Track usage growth over time
Liked Responses
Number of AI responses marked with 👍 by users or reviewers.
Use this to:
- measure response quality
- identify high-performing knowledge sources.
Disliked Responses
Number of AI responses marked with 👎
Use this to:
- Detect knowledge gaps
- Identify responses that need improvement.
- Refine Knowledge Base content
Leads Generated
Shows how many leads were captured through conversations or forms.
Use this to:
- Measure business impact
- Track conversions driven by AI agents.
Most Used Datasource
Displays the Knowledge Base that is referenced most often when generating responses.
Use this to:
- Understand which knowledge sources are most valuable
- Identify underused or missing data
Conversation Trends
Number of Conversations Over Time
A visual chart showing how conversation volume changes across days, weeks, or months.
Use this to:
- Understand user behavior patterns
- Evaluate the impact of new deployments or content updates