Research guide
Which user journeys belong in a release smoke test?
A smoke suite should answer whether customers can still complete the few actions that matter to the release. Choose journeys by business risk, not by the number of screens they touch.
Start with the decision you need to make
A release smoke test should help the team decide whether to ship. It is not a compact version of every regression test. Pick the journeys that would make the release unsafe if they failed for a customer today.
For many SaaS products, that means a new user can sign up, an existing user can sign in, a buyer can reach the intended billing action, and a customer can recover access. Your product may have different critical paths. Name them before you automate them.
Choose a clean starting state
Playwright recommends isolated tests because independent sessions and controlled data make failures easier to reproduce. The same principle applies to smoke coverage. A journey that depends on leftovers from an earlier run gives weak evidence.
Create dedicated accounts and predictable data for each path. When a run fails, the team can then investigate the product rather than guessing which earlier test polluted the state.
Write an outcome, not a click list
Describe the role, business goal, critical action, and final proof. For example: “As a trial user, create a workspace, invite one teammate, and confirm the workspace opens with the invitation shown.”
That prompt is concrete enough to review and broad enough to stay useful when the interface changes. CueTest can run the browser journey while coded tests continue to protect precise rules underneath it.
Keep the suite small enough to believe
Review the list after each major release. Remove paths that no longer change a ship decision, then add the new path that would. A short suite that runs consistently and leaves evidence is more useful than a long suite that people ignore.
Key takeaways
- Choose smoke journeys by the business decision they protect.
- Use isolated accounts and controlled data so failures are reproducible.
- Write outcome-based prompts for the changing UI and retain precise coded checks for stable rules.