Why "write me some test cases" isn't enough
A vague prompt gets you happy-path-only test cases with vague expected results ("system works correctly") that nobody can actually verify pass or fail. Business users running UAT need steps in their own language, specific test data, and an expected result that's observable — not testing jargon.
What it does
- Traces to source. Every test case references the requirement or story ID it proves.
- Typed coverage. Positive, negative, boundary, permissions and regression cases — not just the happy path.
- Business-readable steps. Written in the user's language, with specific preconditions and test data, not technical scripting.
- Observable expected results. Every expected result is something a business user can actually check.
- Execution-ready. Includes fields for actual result, status and defect reference, ready to drop into a UAT script.
Example
A constructed example, not real client data.
FR-04.2 The system shall reject a password reset if MFA verification fails.
TC-04 — MFA failure blocks password reset Traces to: FR-04.2 Type: negative Preconditions: user has requested a password reset and reached the MFA step Test data: valid username, incorrect MFA code Steps: 1. Enter the incorrect MFA code 2. Submit Expected result: reset is blocked, an error is shown, and no new password is set Status: Not run
How it works with Claude
10 minutes, once, to add it to your Claude account.
Paste your requirements or user stories.
Traceable, business-readable test cases, ready for the UAT script.
FAQs
Can AI generate UAT test cases from requirements?
Yes. Given a clear set of requirements or user stories, AI can generate traceable, business-readable UAT test cases covering positive, negative, boundary and permissions scenarios.
Are the test cases written for business users or testers?
Business-readable by default, since UAT is typically run by business users rather than QA testers. Steps use plain language rather than technical test scripting.