Claude for Enterprise provides comprehensive audit logs that enable organizations to gain valuable insights into their Claude usage patterns. This guide will walk you through creating an interactive analytics dashboard using your organization's audit log data.
Prerequisites
Access to Claude for Enterprise
Primary Owner privileges to access Recorded Events in audit logs (available in CSV or JSON format)
A Claude project for analytics
Step-by-Step Implementation
1. Create a Dedicated Analytics Project
Begin by creating a new Claude project specifically for usage analytics:
Navigate to your Claude workspace
Create a new project named "Usage Analytics"
Open the project settings to add custom instructions
2. Configure Project Instructions
Add the custom instructions that are pasted at the end of this document to your Usage Analytics project. These instructions will enable Claude to create consistent, interactive dashboards whenever you upload audit log data.
The dashboard will provide:
Key Metrics Display
Total unique users
Total conversations
Total projects
Total uploaded files
Interactive Features
Overview tab showing daily active users trend
Conversations tab with detailed metrics:
Period summaries (7-day, 30-day, all-time)
Per-user conversation statistics
User engagement leaderboard
Daily conversation trends
3. Generate Analytics
Once your project is configured:
Download your organization's audit log in CSV format (Instructions to access audit logs)
Start a new chat in your Usage Analytics project
Upload the audit log CSV file
Ask Claude: "Can you create an interactive dashboard for me using the project custom instructions?"
4. Explore and Customize
The resulting dashboard provides various ways to analyze your organization's Claude usage:
Track user adoption through the daily active users chart
Monitor conversation volumes across different time periods
Identify usage patterns
Analyze file and project volumes
You can further customize the dashboard by asking Claude to modify specific aspects or add new visualizations based on your needs.
Technical Implementation Notes
The dashboard implementation includes:
Automated CSV parsing and data processing
Interactive data visualizations using Recharts
Sortable tables with Tailwind CSS styling
Error handling for JSON parsing
Real-time data updates
Best Practices
To get the most value from your analytics dashboard:
Regularly update your analysis with fresh audit log data
Use consistent time periods for trend analysis
Track key metrics that align with your organization's goals