Measuring and Improving Test Efficiency with Oobeya Test Analytics
Boost testing efficiency and performance with Oobeya Test Analytics. Combine test management (Xray, TestRail) and automation data to improve the overall quality and productivity of teams.
Turn your testing data into actionable insights!
Testing is one of the most critical — and often least measured — stages of the software delivery lifecycle.
Manual testing, automation pipelines, and user acceptance tests (UAT) all produce large amounts of data, yet teams rarely have a clear picture of how efficiently testing contributes to release quality.
Oobeya’s Test Analytics module brings all your testing data — from test management tools (Xray, Zephyr, TestRail, Azure DevOps Test) and external test automation tools (via REST API) — into one place, allowing you to track test efficiency, escaped defects, and overall test coverage.
1. Why Measure Test Efficiency?
Without visibility into testing performance, engineering teams struggle to answer key questions:
Are we catching defects early enough?
Is automation reducing UAT duration?
Which teams have the highest defect leakage?
Is our testing effort aligned with release quality?
Oobeya provides data-driven answers to these questions by combining manual and automated test results into one unified analytics view.
2. Connect and Analyze All Test Sources
Oobeya integrates seamlessly with both manual and automated test systems.
Manual (Xray, Zephyr, TestRail) – Import test runs, UAT mappings, and test case results from Jira Xray.
Automation (Jenkins, CI/CD, Test Automation tools) – Collect automated test executions, coverage, and defect data via API.
Unified Analysis – Combine results from all sources to understand full test efficiency across the SDLC.
🔗 Learn how to connect Jira Xray.
3. Key Metrics Tracked
Oobeya aggregates and visualizes test performance at both the organization and team levels.
Test Efficiency (%)
Percentage of successful tests across all runs.
Escaped Defects (%)
Ratio of bugs discovered after UAT completion.
Automation Coverage (%)
Share of code covered by automated tests.
UAT Success Rate (%)
Success ratio of user acceptance testing.
Defect Resolution Rate (%)
Percentage of defects resolved during the test cycle.
Execution Time (ms)
Average time per test execution.
These metrics appear in team dashboards, organization overviews, and scorecards — with threshold colors defined in Admin Settings.
4. Team-Level Insights
Oobeya’s Team Mapping automatically associates test metrics with the right teams, allowing you to:
Compare the quality performance between squads.
Identify teams with higher escaped defect ratios.
Correlate test efficiency with release stability and developer activity.
5. Turn Data into Continuous Quality Improvement
With Oobeya Test Analytics, teams can move from intuition to evidence-based decisions:
Detect bottlenecks early – Spot failing areas in UAT or automation pipelines.
Improve test planning – Balance manual vs. automated testing efforts.
Track progress over time – Observe how improvements impact key metrics.
Demonstrate ROI – Quantify how testing contributes to better releases.
Typical Outcomes
Organizations using Oobeya Test Analytics achieve:
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