"For ideation In the initial stage, we have a Product Requirements Document (PRD) or at least an idea. We already know, either in detail or broadly, what content and architecture the app will have. At this point, we would start researching similar solutions from competitors and references to get inspired, and eventually move into design. We don't have to skip this process; however, with AI assistance, we can go from text to an initial functional design that generates hundreds of ideas and provides direction."
"You can use ChatGPT to help you with the PRD. From there, Figma Make can generate a solution from scratch. The more detailed the PRD, the more accurate the output. The outcome will be a functional prototype that provides inspiration, a foundation to iterate on, or simply ideas you can bring into your own designs in Figma. Let's break down my workflow"
"At this point you want a detailed PRD that will serve as both the base for create the Figma Make prompt and the foundations of your app. Just describe your app, if you have already made some decisions, tell it, if not, it'll make them for you. What to expect from Chat GPT? A document with an overview of the app, Target Audience, Core features, Navigation and structure, Data and Interactions, Techincal requirements and Success metrics."
Figma Make embeds AI inside Figma to remove adoption barriers and accelerate product ideation. Designers can use ChatGPT to produce a detailed PRD, then feed that PRD into Figma Make to automatically generate hundreds of initial design ideas and a functional prototype. The generated output emphasizes structure, custom UI components, layout ideas, user flows, capabilities, and micro-interactions rather than high-fidelity visuals. The more detailed the PRD, the more accurate the result. The prototype serves as inspiration, a foundation for iteration, or concrete ideas to import and refine within existing Figma projects.
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