What you'll get
- Automated testing coverage benchmarks across unit, integration, and E2E layers.
- Defect Escape Rate (DER) reduction frameworks.
- Test execution cycle time compression models for continuous deployment.
- Performance and load testing standards prior to peak traffic events.
Objectives & Key Results
Test AutomationQ1
Scale Automated End-to-End Test Coverage and Accelerate Release Sign-Off
| Key Result | Metric | Target |
|---|---|---|
| Increase automated regression test coverage for core business journeys from 40% to 85%. | Automation % | 85% |
| Compress full regression test suite execution duration from 6 hours to under 35 minutes in CI. | Test Runtime | <35 Mins |
| Achieve zero false-positive flaky test failures across nightly automated CI test runs. | Test Reliability | 0 Flaky Tests |
Defect PreventionQ2
Drive Down Production Defect Escapes and Protect Customer Experience
| Key Result | Metric | Target |
|---|---|---|
| Reduce Defect Escape Rate (DER) to production from 5.5% to under 1.0%. | Defect Escape Rate | <1.0% |
| Certify platform performance under 5x simulated peak concurrent traffic with zero service crashes. | Load Testing | 5x Peak Load |
| Establish cross-browser and mobile device automated validation across 99% of user configurations. | Device Matrix | 99% |
FAQs — Quality Assurance OKRs
What is Defect Escape Rate in QA OKRs?
Defect Escape Rate is the percentage of software bugs discovered by end-users in production versus those caught by QA during staging.
Want to track these OKRs live?
SleetHR connects key results to real attendance, sales, and payroll data.
