Test Automation Strategy Template

Target 70-80% of scripted test cases automated. The remaining 20-30% should be exploratory testing that is inherently manual. Do not aim for 100% automation. Some tests are not worth automating: they run rarely, change frequently, or require subjective judgment. The [test strategy template](/templates/test-strategy-template) helps you decide the automation split for each test area.

Both. Developers write unit tests and integration tests (they know the code best). QA engineers write E2E tests and maintain the test infrastructure (they know user flows best). In practice, the most effective model is: developers own test quality for their code (unit + integration), QA owns cross-cutting test quality (E2E + smoke + visual regression), and both contribute to the automation suite. Avoid the antipattern where "test automation engineer" is a separate role that writes tests in isolation from both developers and QA.

Maintenance burden. Teams invest 3 months building an automation suite, then the suite decays because nobody owns maintenance. Tests break as the product changes, flaky tests accumulate, and within 6 months the team is back to manual testing. Prevent this by: (1) making test maintenance part of every sprint, not a separate initiative, (2) assigning ownership of test suites to feature teams, (3) quarantining and fixing flaky tests within 48 hours, and (4) deleting tests for removed features immediately.

Do not automate features that change every sprint. The maintenance cost exceeds the value. Instead, write manual test scripts that are easy to update and use [exploratory testing](/templates/exploratory-testing-template) for areas in active development. Once a feature stabilizes (2-3 sprints with minimal changes), add it to the automation queue. This "automate stable, explore unstable" pattern prevents the brittleness that kills automation initiatives.

Track three numbers: (1) manual testing hours saved per release, (2) defect escape rate before and after automation, and (3) release frequency. Convert hours saved to dollars using QA hourly rates. Convert escaped defects to dollars using incident cost estimates. Convert faster releases to revenue impact. Most teams see 3-6x ROI within the first year because the time savings compound with every release. ---