--- title: "Pre-Test a Figma Prototype With Synthetic Users | Minds" canonical_url: "https://getminds.ai/use-cases/pre-test-a-figma-prototype-with-synthetic-users" last_updated: "2026-09-30T12:11:27.750Z" meta: description: "Paste a Figma file or frame link into Minds and ask a synthetic audience what the screen is for, what they would tap, and what they expect to happen next." "og:description": "Paste a Figma file or frame link into Minds and ask a synthetic audience what the screen is for, what they would tap, and what they expect to happen next." "og:title": "Pre-Test a Figma Prototype With Synthetic Users | Minds" "twitter:description": "Paste a Figma file or frame link into Minds and ask a synthetic audience what the screen is for, what they would tap, and what they expect to happen next." "twitter:title": "Pre-Test a Figma Prototype With Synthetic Users | Minds" --- Minds August 20, 2026·Use-case·Minds Team # **Pre-Test a Figma Prototype With Synthetic Users | Minds** Design review tells you whether a flow is coherent to people who already know the product. A synthetic audience tells you what someone seeing the screen cold thinks it does, which is the question a design review structurally cannot answer. Everyone in the design review already knows what the product does. That shared context is what makes review efficient and what makes it blind — the reviewer cannot un-know the model, so they cannot see the screen the way a first-time user does. The result is a flow that is internally coherent and externally confusing, discovered weeks later in a session recording. Paste the file or frame link into Minds and ask an audience that has never seen it what they think it is. ## What a cold read catches**Icon and label ambiguity.** A control that reads as one thing to the team and another to everyone else.**Missing entry context.** The screen assumes the user arrived knowing something the flow never told them.**Expectation mismatch.** People predict a different outcome from the primary action than the one you built, which is the single most expensive class of design bug because it is only visible after the tap.**Unstated cost.** Users hesitate because they assume a commitment — a charge, a permanent change, a shared visibility — that the design never mentions. ## The workflow 1. Connect Figma in Settings → Integrations. 2. Paste the file or frame link into a new study. 3. Define the audience by their prior knowledge, not their demographics. "Has never used a tool like this" and "switched from a competitor" read the same screen very differently. 4. Ask for a cold read first: what is this, who is it for, what would you do here. 5. Then ask for the prediction: what happens after you do that. 6. Compare across segments and fix wherever the prediction diverges from the build. Order matters. Ask for an opinion first and you get politeness; ask for a restatement first and you get the actual comprehension gap. ## What to do with the output Comprehension failures become copy changes, which are cheap. Expectation mismatches become interaction changes, which are less cheap but far less expensive now than after implementation. Unstated costs become a line of reassurance next to the button. An average rating tells you nothing actionable. "Two of them thought this button would publish immediately" tells you exactly what to change. ## Honest limits Synthetic reactions are not observed behaviour. They do not measure time on task, they do not find the tap target that is three pixels too small, and they do not replace watching a real person struggle. What they do is make sure that when you finally book those sessions, you are testing a design whose obvious problems are already gone. Designs that live in a whiteboard rather than a prototype work the same way — and the same import pattern covers tickets, in the [Linear](https://getminds.ai/use-cases/test-a-linear-issue-before-you-build-it) and [Jira](https://getminds.ai/use-cases/validate-a-jira-epic-with-synthetic-users) workflows. ## Sample prompt Look at this screen for the first time. What is it for and who is it for? Which element would you interact with first, and why that one? What do you expect to happen immediately after? What would stop you from acting at all? ## **Frequently asked questions**### **How do I bring a design into Minds?** Connect Figma once, then paste a Figma file or frame link into the composer. The design becomes part of the research context, so the audience reacts to what is actually on the screen rather than to a description of it. ### **Is this usability testing?** No, and the difference matters. Usability testing observes behaviour under a task. This surfaces comprehension and expectation: what people believe the screen is for, what they think a control does, and what they expect after tapping. Those are the failures worth removing before you put the design in front of a person. ### **What should I ask about a screen?** Ask what the screen is for, who it is for, which element they would interact with first and why, what they expect to happen next, and what is missing before they would act. Ask for reasoning rather than preference — 'do you like it' produces nothing you can change. ### **Can I compare two design directions?** Yes. Run both past the same audience and compare where comprehension diverges. Disagreement between segments is more useful than an average, because it usually shows which direction depends on prior knowledge the new user does not have. ### **Does this replace testing with real people?** No. It removes the obvious failures cheaply so live sessions are spent on behaviour and edge cases rather than on discovering that a label was ambiguous. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. 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