AI acceptance criteria generator in Figma Make
Turn a messy idea into clear, testable acceptance criteria in minutes. Figma Make helps you capture flows, logic, and edge cases—then refine with your team in the same file.
Write clear, testable requirements with an AI acceptance criteria generator
Draft criteria from real flows
Generate functional front-end code from interactive prototypes—aligned to your components, structure, and logic.
Make edge cases explicit
Prompt for “what could go wrong” and capture validation, error states, permissions, and empty states before they surprise anyone in sprint review.
Keep requirements close to the work
Create and refine requirements where the prototype lives. Teams can review the criteria alongside the experience and iterate together.
Validate with real data when it matters
When a flow depends on data or auth, connect a Supabase backend to test real states—then tighten criteria with confidence.
Built by real teams.
See how makers, designers, and PMs are using Figma Make to build no-code web apps—from internal tools to product MVPs.
- Jacques Debeuneure Jr.
- Daniela Muntyan
- kishoree04u
- Seungmee Lee
How to generate acceptance criteria with AI in Figma Make
Create a design in Figma Design or start in Figma Make. Sketch the key screens and states you care about (happy path first, then the “yeah, but what if” cases).
Use a prompt that includes roles, triggers, and expected outcomes.
Example prompt: “Generate acceptance criteria for a password reset flow, including invalid email, expired link, rate limiting, and success confirmation.”
Tighten wording so each criterion is observable (what should happen, where, and under which conditions).
Example prompt: “Rewrite these criteria as Given/When/Then statements and add measurable outcomes for error messages and loading states.”
Update the flow, then re-prompt to keep criteria aligned as the UI changes. If the experience depends on auth or data, add a Supabase backend to validate real states.
Example prompt: “Update the criteria to include authenticated and unauthenticated users, and specify what happens when the session expires mid-checkout.”
FAQs
An AI acceptance criteria generator drafts clear, testable requirements from a description of a feature or flow. In Figma Make, teams can generate structured product requirements—then refine acceptance criteria alongside the work.
Good acceptance criteria spells out expected behavior, edge cases, and what “done” looks like. It helps teams align on outcomes across product, design, engineering, and testing.
Yes. Figma Make can create structured requirements from natural language prompts that describe goals, logic, and flows, which can be used to draft acceptance criteria and iterate quickly.
It reduces ambiguity before implementation starts. Developers get clearer expectations for states (loading, empty, error), permissions, and edge cases—so fewer “wait, what do we do here?” moments land mid-sprint.
Yes. Figma Make supports adding a backend via Supabase, which helps teams test flows with real authentication and data states before locking criteria.
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