Prompt Templates

AI Prompts for UX Designers

These UX design prompts help designers create user personas, plan usability tests, write UI copy, generate design specifications, and conduct design critiques. AI accelerates the research and documentation phases of UX work, letting you spend more time on the creative problem-solving that defines great user experiences.

User Persona Creator

User Research
Copy prompt

Create a detailed user persona for a [product/service] user. Include: name, age, occupation, and demographic snapshot, goals (3 primary goals related to the product), frustrations and pain points (4-5 specific pain points), technology comfort level and device usage, a day-in-the-life scenario showing when and how they interact with our product, behavioral patterns (how they make decisions, what influences them), a key quote that captures their attitude, and 3 scenarios where they would use our product. Base the persona on [research data/user type description].

Tip: Provide actual user research data — survey results, interview notes, analytics — so the AI creates a research-backed persona rather than a fictional stereotype.

Usability Test Script

Usability Testing
Copy prompt

Design a 45-minute moderated usability test script for testing [feature/product/prototype]. Include: introduction script with consent and recording disclosure (3 min), warm-up questions about participant background (5 min), 5 task scenarios with specific success criteria and time limits, post-task questionnaires (SUS or SEQ) after each task, probing questions for when participants struggle, a post-test interview guide (5 min), and a debrief script. For each task, include: the scenario context, the specific instruction (without revealing the path), what to observe, and follow-up questions.

Tip: Write task scenarios as realistic user goals, not step-by-step instructions — 'You want to change your delivery address for an upcoming order' rather than 'Click on Account Settings and find the address field.'

UI Microcopy Writer

UX Writing
Copy prompt

Write UI microcopy for these [product] interface elements: [list specific elements — error messages, empty states, loading states, tooltips, confirmation dialogs, onboarding steps, etc.]. For each element, provide: the primary copy, a secondary/supporting copy option, the tone (helpful/playful/serious/encouraging), character count, and rationale for the language choice. Follow these UX writing principles: clarity over cleverness, use active voice, front-load important information, and be specific about what the user should do next. Match a [brand voice description] tone.

Tip: Include the specific error conditions or user states that trigger each message so the AI can write contextually appropriate copy rather than generic text.

Design Critique Facilitator

Design Review
Copy prompt

Help me prepare a structured design critique for [feature/screen/flow]. The design goals are: [list goals]. Organize the critique around these lenses: 1) Does it meet the user's primary goal efficiently? 2) Is the information hierarchy clear and scannable? 3) Are interactive elements discoverable and consistent? 4) How does it handle edge cases and error states? 5) Is it accessible (WCAG AA)? For each lens, provide: 3 specific questions to ask, what to look for in the design, common pitfalls in this type of interface, and a rating framework (works well / needs refinement / needs rethinking).

Tip: Share the actual design or describe it in detail so the AI can generate specific, actionable critique questions rather than generic UX heuristic questions.

Information Architecture Mapper

Information Architecture
Copy prompt

Design an information architecture for a [product/website type] with these content types: [list content types and features]. Create: a site map with primary, secondary, and tertiary navigation levels, card sorting suggestions for organizing content into categories, navigation labeling recommendations with alternatives tested against clarity, user flow diagrams for the 3 most critical tasks, and search and filter taxonomy recommendations. Consider [user research findings] when organizing. Prioritize by user frequency and importance.

Tip: Include your analytics data on most-visited pages and common user paths so the IA reflects actual user behavior rather than organizational assumptions.

Accessibility Audit Checklist

Accessibility
Copy prompt

Create a comprehensive accessibility audit checklist for [product/feature] targeting WCAG 2.1 AA compliance. Organize by category: perceivable (color contrast, alt text, captions), operable (keyboard navigation, focus management, timing), understandable (error handling, labels, predictability), and robust (semantic HTML, ARIA, cross-browser). For each item, include: the specific WCAG criterion, what to check, how to test it (tools and manual methods), common failures in [product type] interfaces, and the fix approach. Prioritize items by impact on users with disabilities.

Tip: Specify the technology stack (React, native iOS, etc.) so the AI can include platform-specific accessibility implementation guidance and testing tools.

Design System Component Spec

Design Systems
Copy prompt

Write a design system specification for a [component name] component. Include: component description and use cases, visual variants (sizes, states, themes), props/API with descriptions and default values, interaction states (default, hover, focus, active, disabled, loading, error), responsive behavior across breakpoints, accessibility requirements (ARIA roles, keyboard behavior, screen reader announcements), content guidelines (character limits, truncation rules), do's and don'ts with examples, and related components. Format as a documentation page.

Tip: Reference your existing design system tokens (colors, spacing, typography) by name so the spec integrates seamlessly with your team's shared language.

User Journey Map

User Research
Copy prompt

Create a user journey map for [persona name] completing [goal] with [product/service]. Map these phases: awareness, consideration, onboarding/first use, regular use, and advocacy. For each phase, document: user actions (what they do), touchpoints (where they interact), thoughts (what they are thinking), emotions (frustrated/neutral/delighted with reasoning), pain points and opportunities, and metrics to track. Highlight the moments of truth — the 3-4 critical interactions that determine whether the user succeeds or churns. Include recommendations for improving each pain point.

Tip: Base the journey on real user research data rather than assumptions — interview 5-8 users about their experience and feed those insights into the prompt for an accurate map.

Test These Prompts on 400+ AI Models

UX designers need AI that produces thoughtful, well-structured design artifacts. Use Compare Chat to test UX prompts across 400+ AI models and find which delivers the most useful personas, test scripts, and design specs. Vincony's Prompt Optimizer helps you refine design prompts for consistently high-quality UX deliverables.

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Frequently Asked Questions

Can AI replace UX designers?

No. AI accelerates UX documentation, research synthesis, and content creation, but it cannot replace the empathy, creative problem-solving, and visual design skills that define great UX work. AI is best used to handle time-consuming deliverable creation so designers can focus on user research, ideation, and crafting exceptional experiences.

How can UX designers use AI effectively?

UX designers benefit most from AI for creating personas, writing usability test scripts, generating UI copy, documenting design specs, synthesizing research findings, and brainstorming solutions. Use AI for the documentation and writing-heavy parts of UX work. Keep the strategic thinking, user empathy, and visual design in human hands.

Is AI-generated UX copy good enough for production?

AI-generated UX copy is an excellent starting point but typically needs refinement for brand voice, specificity, and edge cases. AI tends to produce copy that is clear but generic. A UX writer should review and refine AI-generated microcopy to ensure it matches the brand, handles all states correctly, and feels natural in context.

Can AI help with accessibility?

Yes, AI can generate accessibility audit checklists, suggest ARIA implementations, write alt text for images, and identify common WCAG violations. However, true accessibility testing requires real assistive technology testing, keyboard-only navigation testing, and ideally testing with users who have disabilities. AI helps with the checklist and documentation aspects of accessibility work.

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