A strong candidate has four characteristics.
1. It protects meaningful risk.
The workflow matters to users or the business. Automating a low-value check perfectly is still low-value automation.
2. It is repeated often.
Checks performed every release, every pull request or across multiple environments can earn back automation effort faster than rarely used scenarios.
3. The behaviour is stable enough.
If the product flow or expected result changes constantly, maintenance can overwhelm the value of the test. Exploration may be a better tool until the behaviour stabilizes.
4. The result can be judged reliably.
The test needs a clear observable outcome. If success requires nuanced human judgement, forcing it into a binary automated assertion can create false confidence.
Good early Playwright candidates.
- Authentication and access to core product areas.
- Stable CRUD workflows that protect important data behaviour.
- Critical end-to-end journeys with deterministic outcomes.
- High-value regression checks that are repeatedly executed by hand.
Keep some testing human.
Exploratory testing, usability observations and unfamiliar edge cases benefit from human judgement. A healthy QA strategy combines exploration with repeatable protection rather than treating manual and automated testing as competing camps.
Let real product risk shape the regression suite, then automate the stable parts that deserve frequent protection.