Prompt to Design Interfaces: Why Vague Prompts Fail and How to Fix Them

Create better AI-prototyping designs by using precise visual keywords, references, analysis, as well as mock data and code snippets.

Summary: Create better AI-prototyping designs by using precise visual keywords, references, analysis, as well as mock data and code snippets.

The rise of GenAI tools has introduced a new paradigm for design work — rather than crafting interfaces by directly manipulating elements in design tools, designers can prompt AI-prototyping tools to generate designs.

When you’re working with AI, the output quality will be largely dependent on the specificity of the prompt. This article discusses common issues with vague text prompts and offers recommendations on how to achieve better results from AI-prototyping tools without undertaking the bulk of the design work yourself.

Research Recap

When we asked AI-prototyping tools to generate a live-training profile page for NN/G course attendees , a detailed prompt yielded quality results resembling what a human designer created, whereas a vague prompt generated inconsistent and unpredictable outcomes across the board. (For more information about the prompts and tools we used, see our description of the study methodology .)

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