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.
Design Prompts You Can Copy Right Now
Practical prompts for briefs, audits, documentation, and UX writing. Copy, customize the variables, and paste into ChatGPT.
Design Brief Generator
Create a comprehensive design brief for a {{project_type}} project. Client/stakeholder: {{client_name}} Business objective: {{business_objective}} Target audience: {{target_audience}} Brand guidelines: {{brand_constraints}} Timeline: {{timeline}} Budget tier: {{budget_tier}} The brief should include: 1. Project overview (2-3 sentences) 2. Problem statement — what user/business problem this design solves 3. Target audience profile with key behaviors and pain points 4. Scope and deliverables (be specific: screens, components, assets) 5. Design requirements and constraints (platforms, existing systems, technical limitations) 6. Success metrics — how we will measure if this design works 7. Competitive/inspirational references (suggest 3 based on {{industry}}) 8. Timeline with milestones (discovery, wireframes, visual design, handoff) 9. Out of scope (explicitly state what this project does NOT include) Write in clear, actionable language. Avoid subjective terms like "modern" or "clean" — use specific, measurable descriptors.
Why it works: Explicitly listing what is out of scope prevents scope creep. Banning vague terms like 'modern' forces specific design direction that the whole team can align on.
UX Audit Checklist
Conduct a UX audit of {{product_name}} focusing on the {{flow_name}} flow. Platform: {{platform}}. Current flow steps: {{flow_steps}} User persona: {{user_persona}} Key user goal: {{user_goal}} Evaluate each step against: 1. **Usability heuristics** (Nielsen's 10) — flag specific violations 2. **Cognitive load** — identify steps that require too much mental effort 3. **Error prevention and recovery** — how does the flow handle mistakes? 4. **Accessibility** — WCAG {{wcag_level}} compliance issues 5. **Mobile experience** — touch targets, thumb zones, responsive behavior 6. **Copy and microcopy** — clarity, tone consistency, action-oriented labels For each issue found: - Severity (critical / major / minor / cosmetic) - Screenshot location (describe which screen/element) - Specific recommendation with reasoning - Effort estimate (quick fix / medium / major redesign) Prioritize findings by impact-to-effort ratio.
Why it works: Tying each finding to Nielsen's heuristics gives credibility in stakeholder presentations. The impact-to-effort prioritization makes the audit immediately actionable instead of an overwhelming list.
Color Palette Generator
Generate a color palette for {{project_type}} targeting {{target_audience}}. Brand personality: {{brand_personality}} Industry: {{industry}} Existing brand colors (if any): {{existing_colors}} Mood/emotion to evoke: {{target_emotion}} Provide: 1. **Primary palette** (3 colors): hex values, usage rationale, and where each is used (backgrounds, text, CTAs) 2. **Secondary palette** (2-3 colors): supporting colors for accents, illustrations, data viz 3. **Neutral palette** (4 shades): backgrounds, borders, disabled states, body text 4. **Semantic colors**: success, warning, error, info — with hex values 5. **Accessibility check**: contrast ratios for all text/background combinations against WCAG {{wcag_level}} 6. **Dark mode variant**: adjusted palette that maintains brand recognition and meets contrast requirements 7. **Usage examples**: describe how the palette applies to a card component, a form, and a dashboard Include CSS custom properties (HSL format) ready to paste into a stylesheet.
Why it works: Including semantic colors and dark mode from the start prevents the common redesign where these are bolted on later. HSL format makes programmatic adjustment easy.
Accessibility Review
Perform an accessibility review of the {{component_or_flow}} in {{product_name}}. Platform: {{platform}}. Target: WCAG {{wcag_level}} conformance. Component/flow description: {{description}} Current implementation details: {{implementation_notes}} Review against these categories: 1. **Perceivable**: Color contrast, text alternatives, captions, content structure 2. **Operable**: Keyboard navigation, focus management, touch targets (min 44x44px), motion/animation 3. **Understandable**: Error messages, labels, predictable behavior, reading level 4. **Robust**: Semantic HTML, ARIA usage (check for misuse), screen reader testing notes For each issue: - WCAG success criterion violated (e.g., 1.4.3 Contrast) - Current behavior vs. expected behavior - Code fix or design change needed (be specific) - Impact on users with specific disabilities Also provide: - Recommended testing tools for {{platform}} - Manual testing checklist (what automated tools cannot catch) - Screen reader announcement script for the happy path
Why it works: Mapping each issue to a specific WCAG criterion makes compliance trackable. The screen reader announcement script is something most audits miss but is critical for blind users.
Design System Documentation
Write documentation for the {{component_name}} component in our design system. Component purpose: {{purpose}} Variants: {{variants}} Platform: {{platform}} Design tool: {{design_tool}} Code framework: {{code_framework}} Documentation should include: 1. **Overview**: When and why to use this component (and when NOT to use it — suggest alternatives) 2. **Anatomy**: Label each part of the component (e.g., icon, label, helper text, container) 3. **Variants and states**: Describe each variant with its use case. States: default, hover, active, focus, disabled, error, loading 4. **Props/properties table**: Name, type, default value, description 5. **Spacing and sizing**: Padding, margins, and min/max dimensions using our {{spacing_scale}} scale 6. **Accessibility**: Required ARIA attributes, keyboard behavior, screen reader expectations 7. **Do/Don't examples**: 3 correct usages and 3 common misuses with explanations 8. **Content guidelines**: Character limits, tone, capitalization rules for any text within the component Write for a mixed audience of designers and developers.
Why it works: The 'when NOT to use it' section prevents component misuse, which is the most common design system problem. Do/Don't examples are the fastest way to communicate intent.
User Flow Mapping
Map the complete user flow for {{flow_name}} in {{product_name}}. User persona: {{persona}} Entry point: {{entry_point}} Success state: {{success_state}} Key decision points: {{decision_points}} For each step in the flow, provide: 1. Step number and name 2. Screen/page description 3. User action (what they click, type, or swipe) 4. System response (what happens after the action) 5. Data needed (what info must the user provide or the system display) 6. Potential drop-off risk and mitigation Also include: - **Error paths**: What happens when things go wrong at each step (network error, validation failure, permission denied) - **Edge cases**: Empty states, first-time vs. returning user, maximum data scenarios - **Alternate paths**: Shortcuts or alternative routes to the same success state - **Metrics to track**: One key metric per step (e.g., completion rate, time-on-step, error rate) Format as a numbered flow that can be translated into a Figma flowchart. Include a text-based diagram using arrows (-->) to show the flow visually.
Why it works: Including error paths and edge cases up front prevents the common pattern of designing only the happy path. Per-step metrics enable data-driven iteration after launch.
Recommended tools & resources
Browse design-focused prompt templates from the community.
Prompt BuilderBuild custom design prompts with guided steps.
Prompt TipsTechniques to get better design feedback from AI models.
Prompt PatternsReusable structures for briefs, critiques, and research.
AI Prompt ExamplesReal-world examples of effective design prompts.
PersonasDefine AI personas for design critique and UX writing.