Spec‑First Acceptance Templates: PRD Blocks That Generate Tests, OpenAPI Stubs, and JSON‑LD Feature Cards

Acceptance criteria are the single best place to lock intent between product, engineering, and QA—if they’re written in a consistent, machine-friendly shape. When teams adopt spec‑first templates, the same block of truth can seed tests, API examples, and discoverable metadata without re-writing or interpretation drift.

This approach reduces handoffs and review friction: developers run generated Playwright tests that mirror the PRD language, API teams extract OpenAPI example stubs from the same templates, and marketing or discovery systems consume JSON‑LD feature cards generated from the identical source.

Use a compact schema for each acceptance block with these fields: id, title, personas, given/when/then steps, apiContract (endpoint + example payloads), and featureCard (short summary + attributes). That shape gives you a direct mapping path to test steps, OpenAPI examples, and JSON‑LD.

Keep every field small and explicit. Treat Given/When/Then as playbook steps that map 1:1 to Playwright actions and assertions; keep apiContract examples as concrete JSON objects that can be injected into OpenAPI example stubs; write featureCard text to fit schema.org/Product or a custom additionalProperty block for feature metadata.

Playwright: translate Given/When/Then into a test function where Given defines initial state/setup, When drives user action (page.click, form.fill, direct API calls), and Then contains expect assertions. Use the spec id as the test title and include the original GWT text as a doc comment so reviewers see the canonical requirement inline with the test code.

OpenAPI: extract apiContract examples into the OpenAPI components/examples section or inline operation examples. Concrete request/response JSON in the spec block becomes the example payload—this reduces ambiguity for backend implementers and provides ready-made stubs for contract tests or mock servers.

JSON‑LD feature cards: surface the featureCard block as a small schema.org JSON‑LD snippet (Product or additionalProperty entries) so your README or marketing pages include machine-readable feature metadata. That makes features consumable by automation and internal tooling (feature flags, changelogs) and supports richer indexing where applicable.

Below are compact, paste-ready templates you can put in your project README or PRD. Keep a /specs folder with one YAML/JSON file per feature (id as filename). CI scripts can iterate that folder and generate test files, OpenAPI fragment files, and README feature cards.

Operationalizing: add a small generator (Node script or GitHub Action) that reads each spec block and emits three files: tests/<id>.spec.ts, openapi/examples/<id>.json, and docs/feature-cards/<id>.jsonld. The generator should preserve the original text as comments and fail CI if a required mapping (like apiContract.response) is missing.

Start small: pick 3 active tickets and convert their acceptance criteria into the spec block shape. Wire a generator that produces a Playwright test and one OpenAPI example. Run the tests in CI and iterate on the mapping rules until the generated tests are reliable.

Govern the templates: add lint rules or a simple schema validator to reject spec blocks missing essential fields. Keep the mapping simple and explicit—don’t attempt full NLP translation. Finally, document the pattern in your repo README so new hires and contractors can copy the pattern and contribute additional blocks.