How do you measure whether your test automation is healthy and worth the investment?
What the interviewer wants to hear
- Feedback time and pipeline duration
- Flake rate and pass rate on unchanged code
- Defects caught before release versus escaped defects
- Maintenance effort and time spent fixing tests
- Coverage of critical risks rather than raw counts
Model answer
I avoid vanity numbers like test count. I look at a small set of signals. Feedback time: how long a developer waits for a result on a pull request. Reliability: the flake rate per test and how often the main branch is red without a real bug, because trust is the whole point. Effectiveness: defects caught by automation before release compared with escaped defects found in production, and whether escaped bugs map to gaps in our risk coverage. Cost: how many hours per sprint go into fixing broken tests and framework issues. I also review coverage of critical journeys and risks rather than raw line coverage. I share these as trends on a dashboard and use them to decide where to invest, for example deleting low-value UI tests, moving checks down to the API level, or fixing the worst flaky tests first.
Can you answer it under time pressure?
Take a timed hard round and get scored on every answer.
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