Build prototype that align with human behaviour

When Figma make was introduced, I started working with it from the very beginning. It was the feature I had been waiting for—the missing link in the UX workflow.

For years, I have poured my heart into Figma prototypes, trying to give life to "natural" user interactions. But if we’re being honest, something was always complete. We would prioritise a few key paths, focus on the visuals, and end up with a "point-and-click" experience. The "product life" was missing.

Today, that has changed.

I haven’t stopped my traditional prototyping, I have evolved it. I have a comparably big database of existing Figma designs, and I am now converting that some of those into Figma Make along with all new topics I am working. This allows me to generate prototypes that perform the exact user flow and interaction we plan for the actual product.

Usability testing isn't just a final check anymore; it's faster, deeper, and more honest.

My goal isn't to replace my work with AI, but to integrate it in the spaces required to do a "better job". I can identify the right problem worth solving before a single developer starts a sprint.

1. The Database as Context: I use my core Figma frames as the "DNA" for Figma Make. By feeding my actual design system into the AI, I ensure the generated flows look and feel exactly like our brand.
2. Adding the Logic Layer: If the topic is greenfield, Once the interactive structure is there, I use the Model Context Protocol (MCP) to bridge the design into my coding environment. Using GitHub Copilot, I add real logic - actual data inputs and functional filters that "fake" prototypes just can't handle.
3. High-Fidelity Discovery: Because the prototype now behaves like the final product, the user's feedback becomes the truth. We stop testing "pictures of software" and start testing "software behavior."

Why the "Fidelity Gap" Matters

People use products for their own wants—not because the product "wants" them to. When we test with static prototypes, we often force users down a narrow path. We say, "Imagine this works," or "Don't click that; it's not connected." When we do this, we aren't testing the product; we are testing the user's ability to follow instructions. We miss the subtle friction points. By using Figma Make to create high-fidelity, functional prototypes, we finally have a mirror that reflects true human behavior.

The era of "imaginary" prototyping is over. It’s time to start making.