ChatGPT Prompts for Designers

Designers are finding that AI is surprisingly useful for the parts of design that involve language — UX microcopy, design briefs, critique documentation, user research synthesis, and accessibility audits. The visual work still requires human creativity and tools like Figma, but the written artifacts surrounding design can be dramatically accelerated with well-crafted prompts. A vague request like "write error messages for my app" gives you generic text. A prompt that specifies the product context, the user's emotional state at each error point, your brand voice guidelines, and the action you want users to take produces copy that actually improves the experience.

For UX copy, include the screen context, the user's current task, the action the element should drive, character limits, and your voice and tone guidelines. Design brief prompts should specify the project type (website redesign, mobile app, marketing campaign), target audience, brand constraints, timeline, deliverables, and success criteria. Critique prompts work best when you describe the design decisions made, the problem being solved, the target users, and the specific aspects you want evaluated — hierarchy, accessibility, consistency, or usability. User research prompts should include the research method (interview, survey, usability test), the questions you need answered, participant demographics, and how results will inform design decisions. Accessibility review prompts should specify the WCAG level you are targeting, the platform (web, iOS, Android), and the specific components or flows to evaluate.

Designers who maintain a prompt library for their recurring writing tasks — onboarding flows, error states, empty states, notifications — produce more consistent UX copy and spend more time on actual design. PromptingBox lets you save, organize, and version your design prompts so you can reuse them across projects.