Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows
In a randomized trial, Figma Make cut completion time by about 20% among finishers, with larger gains for product managers and less certain benefits for professional designers.
A randomized trial assigned **50 product designers** and **50 product managers** to three standardized tasks with or without Figma Make. Among participants who finished, tool access was associated with about **20% shorter completion times**.
Solo builders can use prompt-to-design workflows to accelerate prototype production and let non-design specialists contribute more directly. The larger reported gains for **product managers** suggest the tool may help most when design execution is not already a core skill.
A randomized trial assigned **50 product designers** and **50 product managers** to three standardized tasks with or without Figma Make. Among participants who finished, tool access was associated with about **20% shorter completion times**. Solo builders can use prompt-to-design workflows to accelerate prototype production and let non-design specialists contribute more directly. The larger reported gains for **product managers** suggest the tool may help most when design execution is not already a core skill. The result covers completers rather than every enrolled participant, and the supplied material gives no quality outcome. Benefits for professional designers were **task dependent**, so speed should not be treated as a general productivity or design-quality gain.
This adds randomized evidence that prompt-to-design tools can shorten standardized prototype work for completers, especially non-design specialists. It does not validate the candidates’ stronger claims about taste, coherence, or scalable quality because no quality outcome is supplied and professional-designer gains varied by task. Speed and design quality therefore remain separate evaluation axes.