acceptance-criteria-builder

Testable acceptance criteria are generated by transforming ambiguous product intent into a contract with explicit actors, preconditions, actions, postconditions, rejection criteria, and verification methods. This ensures user-facing behaviors and business rules are independently verifiable without hidden assumptions.

You can generate Gherkin-style acceptance criteria by providing the feature description and required constraints. The output specifies what must be true for API contracts and sets measurable non-functional thresholds for performance and security authorization without dictating implementation details.

For experiment rollouts, acceptance criteria should define exposure events, assignment units, guardrail metrics, and rollback or rejection thresholds. This produces experiment-quality criteria ensuring rollout decisions are driven by measurable data rather than subjective judgments.

Yes, it ensures full behavioral coverage across happy paths, negative paths, edge cases, and permission or authorization cases. It systematically maps these scenarios to observable outcomes and explicit rejection criteria to prevent gaps in regression coverage.

To avoid implementation coupling, acceptance criteria should specify what must be true rather than how it is built. This approach focuses on observable outcomes and verification methods, while surfacing any open questions as explicit placeholders for the development team.