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AI-Native Test Analytics For Smarter Reporting

Gain insights into test performance and outcomes with Test Analytics to drive data driven decisions and improve testing efforts.

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AI-Native Test Analytics For Smarter Reporting

The Need for AI-Native Test Analytics

Testing is essential for customer success in today’s digital landscape, but collecting and interpreting testing data from multiple sources can be challenging. Integrating this data into cohesive dashboards with actionable insights often becomes a complex task.

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Features of AI-Native Test Analytics

The report summarizes test performance and status distribution on the platform.

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AI CoPilot Dashboard

Provides automated insights for faster, data-driven decisions.
Offers real-time monitoring to identify issues immediately.
Enhances accuracy for more efficient testing.

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Custom Widgets

Personalize Dashboards to focus on relevant test metrics.
Create Custom Reports for specific testing needs.

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What is Test Analytics and Test Intelligence?

Test Analytics centralizes real-time test execution data, providing insights into performance, coverage, and outcomes that enable teams to make data-driven decisions and continuously enhance their testing efforts. It gives a clear view of current test performance, helping teams identify areas for improvement.

Test Intelligence, however, takes this a step further by incorporating AI to further optimize testing. By identifying flaky tests, Test Intelligence helps stabilize test results. It also forecasts potential issues before they occur, enabling teams to address them effectively. Additionally, RCA helps pinpoint the underlying causes of test failures, allowing teams to improve test strategies and overall reliability.