Leveraging AI tools across different stages of the UX process can speed up decision-making and free up time for critical thinking and creative problem solving.
Here are some common (and powerful) ways to use AI across the entire UX lifecycle:
UX research
AI can analyze data faster and surface patterns that might take hours (or days) to uncover manually.
Dovetail – Automatically generates highlights, clusters insights, and summarises findings from interviews, surveys, and usability tests using AI
UserTesting – Uses AI to analyse user video sessions, surfacing key patterns, pain points, and actionable insights with minimal manual effort
Maze – AI-enhanced usability testing tool that provides instant reports and auto-summarised insights from user interactions and feedback
Ideation & prototyping
Quickly move from idea to UI with tools that generate design assets or entire screens from simple inputs.
Magician (Figma plugin) – An AI-powered design assistant in Figma that helps generate copy, icons, and design ideas from text prompts
UIzard – Transforms hand-drawn sketches or text descriptions into functional wireframes and high-fidelity UI mockups
Stitch (formerly Galileo) – Converts natural language prompts into clean, production-quality UI mockups
v0 – Translates natural language prompts into fully functional React + Tailwind components, allowing designers and developers to instantly generate editable, production-ready UIs
Content design
AI helps create consistent and clear copyfaster.
Writer – An enterprise-grade AI writing assistant that ensures consistent UX copy across products by enforcing style guides, improving readability, and adapting to your brand voice
ChatGPT / Claude – Great for writing microcopy, generating ideas, summarising research findings, and drafting early content – all from simple prompts
Accessibility & QA
Catch compliance issues early with AI-powered checkers.
Stark (Figma plugin) – An accessibility checker for Figma, Sketch, and web that uses AI to detect colour contrast issues, missing alt text, and WCAG compliance gaps
✅ Best practices when using AI for UX
Validate output – AI can hallucinate. Always review and test anything before going live
Use as a collaborator, not a crutch – AI should support your creativity, not replace your judgment
Prompt wisely – The better your input, the better the output. Be specific and provide context
Respect privacy – Avoid feeding sensitive data into AI tools that don't guarantee security
AI won't replace good UX. But used properly, it can dramatically increase your output and quality. Think of it as an intelligent assistant that's always ready to help – just don't hand it the steering wheel.
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