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An AI agent pursues a goal by iteratively taking actions, evaluating progress, and deciding next steps. Useful agents must be reliable, adaptive, and accurate.

AI can produce polished survey drafts quickly, but experienced human review is still needed to catch subtle survey-design flaws that weaken data quality.

Generative UI and vibe coding both produce AI-generated interfaces, but they differ in a critical way: who decides to build. Learn how this distinction shapes design accountability, failure modes, and who actually benefits.

MVPs are learning tools that test whether an idea is valuable to users.

NNGroup is excited to announce the NN/G UX Certification program's newest specialty: Artificial Intelligence (AI). As AI reshapes every part of UX work, this specialty helps practitioners demonstrate that they can effectively utilize and adapt these ...

Users see little reason to use site AI chatbots. To prove their value, chatbots must solve problems that existing site features don't.

Well-written informational microcopy should be clear, concise, and have character.

The methodological blind spots in UX research tools have always been a problem. Now that AI is planning and analyzing research, it's gotten worse.

As AI speeds up design work, the argument to "throw out the process" misrepresents how experienced designers work.

Take up to 6 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX professionals. June 13 - June 26, 2026.