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AI-Native Test Intelligence for Smarter Insights

Anticipate and mitigate future issues before they take root with AI native test intelligence insights.

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AI-Native Test Intelligence for Smarter Insights

The Need for AI-Native Test Intelligence

Deducing actionable test insights from test runs for complex test builds/systems has always been a grueling activity. QA teams find it hard to monitor and find the issues with ease.

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The Need for AI-Native Test Intelligence

Features of AI-Native Test Intelligence

Speed up issue resolution using RCA, categorize errors, and offer solutions for quick problem solving.

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Error Forecasting

Forecast issues based on log data.
Track test failures with intuitive dashboards.
Analyze failures by error types for effective resolution.

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Notification Updates

Stay informed on the go with notifications via mail or Slack.
Get immediate alerts for critical test results or report updates.
Track and access reports for timely actions without delays.

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What is Test Intelligence and Test Analytics?

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.