AI Prompts for UX & Product Designers

AI prompts for designers — research, UX copy, and design thinking support

Designers increasingly write as much as they design — research plans, UX copy, design critique notes, and portfolio case studies all live in the job. These AI prompts are built for the writing workload that comes with design work, so you spend more time designing and less time staring at a blank doc.

Top prompts for ux & product designers

1. Write a research discussion guide

Before

"Write user research questions"

Too vague—AI has to guess what you want

After

"Write a user research discussion guide for a 45-minute moderated usability test for a mobile banking app's new savings feature. Include: screener criteria, intro script (2 minutes), warm-up questions (5 mins), task scenarios (25 mins, 3 tasks), follow-up questions (10 mins), and closing (3 mins). Use open questions throughout. Highlight where to probe for mental models vs usability issues."

Specific, clear, ready to use

2. Write UX microcopy

Before

"Write some button labels and error messages"

Too vague—AI has to guess what you want

After

"Write UX microcopy for an onboarding flow for a B2B analytics tool. Provide: 3 options for each of the following: empty state headline and subtext, form submission button label, error message for failed payment, success message after completing onboarding, and tooltip for the most complex feature. Tone: clear, confident, and human — not technical."

Specific, clear, ready to use

3. Write a design critique

Before

"Review this design"

Too vague—AI has to guess what you want

After

"Write a structured design critique for a checkout flow redesign. Framework: Jacob Nielsen's 10 usability heuristics. For each relevant heuristic, note: whether the design passes or fails it, a specific example from the design, and a suggested improvement. Be direct — this is a team review, not client-facing feedback. Prioritise issues by impact on conversion."

Specific, clear, ready to use

4. Write a portfolio case study

Before

"Write a case study for my portfolio"

Too vague—AI has to guess what you want

After

"Write a UX portfolio case study for the redesign of a B2B onboarding flow. My role: sole UX designer. The project: activation rate was 23%, target was 40%. Process: discovery interviews (8 users), competitive audit, 3 rounds of testing. Outcome: activation improved to 38%. Structure: context, problem, my role, process (what I did and why), outcomes, and reflection. Tone: confident and reflective. 600 words max."

Specific, clear, ready to use

5. Write a design proposal

Before

"Write a design proposal"

Too vague—AI has to guess what you want

After

"Write a concise design proposal for adding an AI-powered search feature to an enterprise SaaS dashboard. Audience: product and engineering leads. Include: problem framing (2 sentences), proposed solution overview, user benefit, technical dependencies (flag as placeholder), effort estimate (T-shirt sizing), and risks. Use plain language — not design jargon. Max 400 words."

Specific, clear, ready to use

Quick tips for ux & product designers

Be specific about context

Include your industry, audience, or situation so AI understands the constraints

Set clear output format

Tell AI how to structure the response—bullets, paragraphs, tables, etc.

Define your tone

Specify if you want formal, casual, empathetic, or direct language

Add constraints

Set word limits, exclude certain phrases, or define what not to include

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