After embedding a Data App into your business application, AI Squared provides a reporting dashboard to help you track model usage, feedback, and performance over time. These reports help teams understand how users interact with AI insights and identify opportunities to refine use cases.

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Accessing Reports

  1. Navigate to Reports from the main sidebar.
  2. Select the Data Apps Reports tab.
  3. Choose the Data App you want to analyze.

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Key Metrics Tracked

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1. Sessions Rendered

Tracks the number of sessions where model outputs were displayed to users.

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2. User Feedback Rate

% of sessions where users submitted feedback (thumbs, ratings, etc.).

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3. Positive Feedback Rate

% of total feedback that was marked as positive.

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4. Top Feedback Tags

Most common reasons provided by users (e.g., “Not relevant,” “Incomplete”).

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5. Most Active Users

List of users who frequently interact with the Data App.

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Using Reports to Improve AI Performance

  • Low positive feedback? → Revisit model logic, prompt formatting, or context.
  • Low engagement? → Ensure placement within the business app is visible and accessible.
  • Inconsistent feedback? → Collect additional context using text or multi-select feedback options.

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Exporting Reports

  • Use the Export button in the top-right of the Data App Reports view.
  • Reports are exported in .csv format for deeper analysis or integration into your BI stack.

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Best Practices

  • Regularly review feedback to guide model improvements.
  • Correlate usage with business KPIs for value attribution.
  • Enable feedback on new Data Apps by default to gather early signals.