Interactive AI Eval Dashboards with Data Studio

In the concluding part of our series on designing, analyzing, and visualizing AI evaluations, we link our evaluation dataset to Data Studio to create codeless, interactive dashboards. While the inspection view provides developer-focused trace diagnostics, Google Sheets offers tabular sparklines, but non-technical stakeholders require interactive dashboards that allow them to quickly slice performance across our fundamental 3D Evaluation Matrix without writing code.

Our dashboard accommodates key operational booleans such as "completed" (Conditional Accuracy) and "is_baseline_or_has_activated_skill" (Conditional Uptake Slicer).

We provide a pre-configured Master Dashboard Template containing all pre-styled components. To set it up, clone the master template, add data from Google Sheets, select all components, set their data source to the sheet, and customize the bubble chart's bubble color to 'model'. Your interactive dashboard is now live, bound to your evaluation data.

Data Studio translates multi-dimensional evaluation CSV data into intuitive visual dimensions like spatial X/Y coordinates, bubble area scaling, color coding, and hover popovers. Each pre-built dashboard element measures evaluation performance differently:

Chart A: Performance and cost (scatter/bubble chart) maps average task duration, accuracy, and cost. Hover tool tips display latency, accuracy, model, skill group, and cost as currency.

Chart B: Accuracy and error bars (±1 SEM whiskers) visualizes accuracy scores alongside standard error of the mean (SEM) whiskers. Visual whisker bounds show average accuracy, while floating dots display upper and lower standard error bounds.