Be skeptical of the marketing claims being made by AI tools designed for UX researchers. Many of these systems are not able to do everything they claim.
AI is accelerating change. Companies are reacting by “doing AI”without prioritizing the experience of the people on the receiving end–Design is more important than ever. To respond, we must get smart, fast. This starts with understanding the emerging patterns of interaction, affordances, and heuristics in an AI world. The pages below are summaries
Traditional methods for accessibility have been tried for 30 years without substantially improving computer usability for disabled users. It’s time for a change, and AI will soon come to the rescue with the ability to generate a different user interface for every user, optimized for that person’s unique needs.
AI can already perform many UX tasks, ranging from design and research ideation to analyzing qualitative user data at scale. It’s the perfect assistant that quickly produces the first drafts of any UX method plan or deliverable. It will do more in the future,... possibly complete UI designs. But AI will not eliminate the need to watch human users.
In a case study of ChatGPT evaluating 12 e-commerce screenshots, most of the AI-driven redesign suggestions were inconsistent and untrustworthy. Human UX expertise must be employed to judge UX advice from AI.
Use generative-AI tools to support and enhance your UX skills — not to replace them. Start with small UX tasks and watch out for hallucinations and bad advice. All UX professionals should use AI: it’s helpful at any level of seniority and for many tasks within the UX lifecycle (including research, design, and writing).
In a case study of ChatGPT evaluating 12 e-commerce screenshots, most of the AI-driven redesign suggestions were inconsistent and untrustworthy. Human UX expertise must be employed to judge UX advice from AI.
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