# Measuring and Improving Test Efficiency with Oobeya Test Analytics

### 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.

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#### **Connect your testing ecosystem**

Integrate your manual and automation test tools — Jira Xray, Zephyr, TestRail, Jenkins, and others — to consolidate all test execution data in Oobeya.
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#### **Measure real test efficiency**

Track pass rates, defect leakage, and automation coverage to identify whether your testing processes are improving release quality — not just increasing test volume.
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#### **Find where quality issues originate**

Drill down by project, team, or phase to uncover systemic weaknesses such as high defect escape rates, long UAT cycles, or low automation success.
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<p align="center"><a href="https://oobeya.io/schedule-a-demo" class="button primary">Explore Test Analytics ></a></p>

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### 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.**

<figure><img src="https://3582076375-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MGIlBSTjQtZxUoFwUx4%2Fuploads%2FZfqLmXRXFjfAkPH8qESS%2Fimage.png?alt=media&#x26;token=20190ad4-500f-4655-8954-46cb044401d1" alt=""><figcaption><p>Test Analytics Dashboard – Manual &#x26; Automation Test Insights</p></figcaption></figure>

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### 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](https://marketplace.atlassian.com/apps/1211769/xray-test-management-for-jira).
* **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](https://docs.oobeya.io/integrations/all-integrations/code-quality-addons/xray-integration).

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### 3. **Key Metrics Tracked**

Oobeya aggregates and visualizes test performance at both the **organization** and **team** levels.

<table><thead><tr><th width="275.1964111328125">Metric</th><th>Description</th></tr></thead><tbody><tr><td><strong>Test Efficiency (%)</strong></td><td>Percentage of successful tests across all runs.</td></tr><tr><td><strong>Escaped Defects (%)</strong></td><td>Ratio of bugs discovered after UAT completion.</td></tr><tr><td><strong>Automation Coverage (%)</strong></td><td>Share of code covered by automated tests.</td></tr><tr><td><strong>UAT Success Rate (%)</strong></td><td>Success ratio of user acceptance testing.</td></tr><tr><td><strong>Defect Resolution Rate (%)</strong></td><td>Percentage of defects resolved during the test cycle.</td></tr><tr><td><strong>Execution Time (ms)</strong></td><td>Average time per test execution.</td></tr></tbody></table>

These metrics appear in team dashboards, organization overviews, and scorecards — with threshold colors defined in Admin Settings.

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### 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.

<div><figure><img src="https://docs.oobeya.io/assets/test-analytics-team-scorecard.png" alt=""><figcaption></figcaption></figure> <figure><img src="https://3582076375-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MGIlBSTjQtZxUoFwUx4%2Fuploads%2FJ4g9bHGXsE7tYuJP61fg%2Fimage.png?alt=media&#x26;token=35e4daad-4524-4028-b34e-9e2f4f4ee9e5" alt=""><figcaption><p>Team Scorecard – Test Analytics Metrics</p></figcaption></figure></div>

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### 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.

<figure><img src="https://3582076375-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MGIlBSTjQtZxUoFwUx4%2Fuploads%2FAOe6AeOkbGhBiPV9OVND%2Fimage.png?alt=media&#x26;token=b1923c07-e087-4ca9-bd05-7bde68dad42c" alt=""><figcaption></figcaption></figure>

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### Typical Outcomes

**Organizations using Oobeya Test Analytics achieve:**

* [x] 25–40% faster UAT cycles
* [x] Up to 30% fewer escaped defects
* [x] Clear traceability between test coverage and release quality
* [x] Standardized testing KPIs across manual and automation teams

<p align="center"><a href="https://oobeya.io/schedule-a-demo" class="button primary">See the Live Demo of Test Analytics ></a></p>