Free Acceptance Criteria Generator
Generate testable acceptance criteria with happy path, edge cases, and negative scenarios
Ready to Generate Acceptance Criteria?
Enter a user story or feature description to get started. Our AI will generate comprehensive, testable acceptance criteria organized by scenario type.
Write better acceptance criteria with AI
Acceptance criteria define when a user story is done. They spell out what needs to be true before work can be considered complete. Without clear criteria, developers and product owners disagree about scope, and testers end up guessing what to verify.
This generator takes your user story and produces criteria in three categories: the happy path where everything works, negative scenarios where things go wrong, and edge cases at the boundaries. You pick the format that fits your workflow — Gherkin for BDD teams, checklists for quick reviews, or detailed rules for complex business logic.
Why generating acceptance criteria with AI works
Catch missing scenarios
Most teams underspecify edge cases and error handling. The generator covers boundary conditions, invalid inputs, and failure modes that are easy to miss when writing criteria by hand.
Reduce back-and-forth
When criteria are specific and testable from the start, developers build the right thing the first time. QA knows what to verify without asking for clarification.
Get through refinement faster
Start with a draft instead of a blank page. Your team can review, adjust, and add context rather than writing everything from scratch during grooming.
Keep criteria consistent
Every set of criteria follows the same structure and level of detail. New team members can read any story in the backlog and understand what is expected.
Tips for writing effective acceptance criteria
Good acceptance criteria are specific enough that two people would agree on whether they're met. Here is what works:
1. Use concrete values, not vague language
Write "username must be 3-30 characters" instead of "username must be a reasonable length." If a tester can't write a test case directly from your criterion, it needs to be more specific.
2. One behavior per criterion
If a criterion contains "and" connecting two unrelated outcomes, split it into two. Atomic criteria are easier to test and track.
3. Describe what users see, not how the system works
Write "an error message is displayed" instead of "the database rolls back the transaction." Acceptance criteria are about observable behavior, not implementation details.