Use Cases

Check an AI Test Plan Against Acceptance Criteria

Review three fictional test cases for a hidden default assumption, a missing reload check, and a cancel test that ignores stored state.

Audience and review notes

For: People checking an AI-generated test plan before relying on it for a release or pilot.

Check facts against original sources and remove sensitive information. Review AI output before relying on it.

Check The Test, Not Just Its Name

A test called “settings saved” can pass without showing that anything persisted. For each acceptance criterion, check the starting state, the action, and the observable result that would detect a failure.

This exercise uses a fictional preference screen and test plan. It does not run tests against a real application.

Get The Pack

Give the AI only the test input. Keep the review key and worksheet separate, and retain the first answer before requesting corrections.

Download test input (.txt)

Download review key (.txt)

Download comparison worksheet (.txt)

Review Three Acceptance Checks

CaseWhat the draft checksWhat would detect the failure
TEST-01A profile with an existing saved preference opens with notifications off.Open a fresh profile with no saved preference and verify that notifications default to off.
TEST-02The switch appears on immediately after Save.Start with off, turn it on, save, reload the same profile, and verify it still shows on.
TEST-03The dialog closes after Cancel.Start with a saved on setting, change it to off without saving, cancel, and verify that reopening and reloading still show on.

For TEST-03, the dialog can close even if the draft change was incorrectly applied. Check the state the user returns to.

Compare A Later Review

Reuse the same acceptance criteria and draft cases. Compare which checks each answer adds and whether those checks could catch the specified failure. Keep the proposed test separate from an actual test result.

Return to the test plan pack or choose your next check.

For a real pilot, run the verified cases in the intended environment and record actual results and gaps. The pilot-result review helps distinguish that evidence from a broader release decision.

From reading to a decision

Keep the workflow connected

Choose a task-first path, save candidates locally, compare the shortlist, and recheck official details before use.