Intuitive Dashboards & In-platform Analytics

The User Problem This Pattern Solves

As organizations invest in AI, administrators and leadership are often flying blind. They lack visibility into critical questions: Who is using the AI? How much is it costing us? Is it actually improving productivity? Without a way to measure performance and ROI, AI remains a high-cost, low-accountability "black box" from a business perspective.

The Design Solution & UI Mockup

This pattern provides a centralized, in-platform analytics dashboard that makes AI usage transparent and manageable. The UI is designed for at-a-glance comprehension, with high-level KPIs presented first. It uses clear data visualizations like line and doughnut charts to illustrate trends and breakdowns. This "command center" empowers administrators with the data they need to optimize costs, measure impact, and make informed strategic decisions about their AI investment.

Use case has been documented, for design process see below.

Key Benefits & Impact

Design Considerations

A successful analytics dashboard must serve multiple audiences. It should provide a high-level executive summary while also allowing technical administrators to drill down into more granular data (e.g., usage per user, queries by model type). Custom date ranges, data exporting capabilities (e.g., to CSV), and the ability to create and save custom report views are essential features for a truly useful analytics platform.