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Playable → Prototype Handoff: 5 Convert‑Ready Artifacts to Cut Contractor Time‑to‑First‑PR

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PLAYABLE → PROTOTYPE HANDOFF: 5 CONVERT‑READY ARTIFACTS TO CUT CONTRACTOR TIME‑TO‑FIRST‑PR

App IdeasAugust 13, 20265 min read944 words

If you hand contractors a Figma prototype and wait for questions, you pay for idle cycles. This post gives a lightweight, repeatable handoff kit—five convert-ready artifacts plus templates and a sample repo structure—that turns a clickable demo into code-friendly inputs (OpenAPI stubs, acceptance tests, annotated mockups, export presets, telemetry map). Use these artifacts to cut contractor time‑to‑first‑PR and keep iteration loops short.

playable-to-prototype-handoffdesign handoffdeveloper onboardingOpenAPI stubsacceptance testsannotated mockupstelemetry mapexport presets

Section 1

The promise: what 'convert‑ready' means and why it matters

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Convert-ready artifacts sit between a clickable demo and production code: they are compact, executable, and unambiguous. Instead of asking "what did you mean here?", a contractor can run a stub, run an acceptance test, or import assets and produce a small mergeable PR.

This matters because onboarding time is driven less by goodwill and more by friction: unclear API boundaries, missing edge-case specs, and inconsistent assets create back-and-forth that delays a first PR. Make the first meaningful action deterministic (run tests, run stub server, import exports).

  • Deterministic: a contractor can execute something locally within an hour.
  • Executable: artifacts should drive tests, codegen, or build steps.
  • Minimal: provide just enough detail to remove ambiguity without writing a full spec.

Section 2

Artifact 1 — OpenAPI stubs: define the surface contract first

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Export a small OpenAPI document that covers the endpoints used in the prototype flows (requests, response shapes, common error responses). Generate a stub server from that spec and include it in the repo so contractors can hit predictable endpoints while building UI.

Keep the spec focused: one path per prototype interaction, sample payloads for success and failure, and clear field-level notes where design intent matters (e.g., whether a string is an id or a user-visible label). The stub server lets front-end work proceed without backend availability or guessing about payload shapes.

  • Include example request/response payloads and 2–3 error cases.
  • Keep verbose documentation minimal—use inline descriptions and examples.
  • Ship a one-command script: npm run stub or docker compose up stub to start it.

Section 3

Artifact 2 — Acceptance tests (BDD-style) as executable requirements

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Write 3–6 high-value acceptance scenarios in plain language (Gherkin/Cucumber style) that mirror prototype flows: happy path, a common edge case, and an error path. These are both living documentation and automated tests that fail until implemented—perfect for guiding a first PR.

Pair each scenario with a lightweight test harness that runs against the OpenAPI stub or the running app. This ensures contractors know what "done" looks like and reduces ambiguous QA cycles. The act of writing acceptance scenarios also surfaces missing business rules before code is written.

  • Use Gherkin feature files for readability and cross-discipline collaboration.
  • Automate them so they run in CI and locally (e.g., cucumber + Playwright/webdriver, or a service-test script).
  • Keep each feature focused on observable behavior, not implementation details.

Section 4

Artifact 3 — Annotated mockups and export presets: exact assets, exact rules

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Provide a single, annotated Figma page (or equivalent) that contains final screens with callouts: component name, typography tokens, padding rules, interaction notes, and content variations. Avoid large unlabeled files—annotations are the fastest way to remove guesswork.

Alongside annotated mockups, include export presets and a simple assets manifest (file names, expected formats, pixel densities). Ship ready-to-import assets and a short script or instructions so contractors can regenerate optimized assets if needed.

  • Annotate states: default, hover/focus, empty/error, loading.
  • Include exact export settings (SVG/PNG, 1x/2x/3x) and naming conventions.
  • Provide a small icon sprite or component library snapshot if you use one.

Section 5

Artifact 4 — Telemetry map: what to measure and where to send it

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A telemetry map is a compact, tabular list of events associated with prototype interactions: event name, trigger (button id / screen), properties (user_id, plan, item_id), and success/failure markers. This lets engineers wire analytics and observability consistently instead of guessing event names and payloads.

Include where events should flow (analytics vendor or internal endpoint), retention considerations, and which events drive acceptance tests or alerting. Telemetry tied to acceptance tests makes it possible to validate behavior in observability as part of QA.

  • Start with 10–15 events for a feature flow: entry, success, error, key milestones.
  • Keep property lists small and stable—avoid open-ended freeform fields.
  • Annotate which events are required for compliance, billing, or funnels.

FAQ

Common follow-up questions

How long should I expect a contractor to reach first PR with this kit?

With the kit in place (stub server, 3–6 acceptance scenarios, annotated assets, export presets, and a telemetry map) you should target a successful first PR within 48–72 hours of environment access. The actual time depends on role seniority and repo complexity; the artifact set removes the most common blockers so the clock measures implementation, not clarification.

Should designers write the OpenAPI and acceptance tests?

Not necessarily. The goal is cross-functional ownership: designers supply annotated mockups and examples; PMs validate acceptance scenarios; an engineering owner or technical writer converts them into OpenAPI stubs and automated Gherkin files. If you must, small teams can collaborate synchronously to produce minimal specs in 1–2 hours.

What does the sample repo structure look like?

Use a compact top-level layout: /README (runbook), /stub (OpenAPI + stub server + run script), /tests/features (Gherkin feature files), /design (annotated mockups + assets manifest), /telemetry (telemetry_map.csv), and /docs/onboarding.md with exact commands to start the app, run stubs, and run acceptance tests. This keeps the first tasks discoverable.

Will this add overhead to designers?

A bit of upfront work pays off. Aim for templates and copy‑pasteable sections so the incremental time per feature is small (30–90 minutes). The heavier lift—wiring a stub server or CI test—should be an engineering task reused across features.

Sources

Research used in this article

Each generated article keeps its own linked source list so the underlying reporting is visible and easy to verify.

Next step

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