Complex-app users don’t always fit neatly into “novice” or “expert” labels. Designing for Legacy, Legend, and Learner users leads to more inclusive, effective systems.

Use-case prompt suggestions show how to effectively prompt AI tools. They aid learnability and creativity, helping users explore what AI tools can do.

UX benchmarking allows us to track the long-term changes in the overall user experience of our product, while UX success metrics help us assess the short-term impact of a specific project or feature…

AI hallucinations threaten the usefulness of LLM-generated text in professional environments, but today’s LLMs encourage users to take outputs at face value.

Despite improvements in narrow-scope AI design tools, most design-specific AI cannot replicate human designers’ output quality.

AI is a new tool, not a replacement for UX professionals.

AI advances make UX generalists valuable, reversing the trend toward specialization. Understanding multiple disciplines is increasingly important.

By adopting the mindset of a product leader, UXers can build support and buy-in within their company.

Two types of foldable smartphones blur the boundaries between traditional device sizes. Fold-out and flip phones create new viewports that hint at future smartphones.