Helpful site-specific AI chatbots clearly state their capabilities, offer relevant prompt suggestions, and quickly signal they know what users are looking at.
User panels can deteriorate in predictable ways, introducing bias and reducing their effectiveness for ongoing research.
Take up to 5 in-depth training courses, teaching user experience best practices for successful design. Courses focused on long-lasting skills for UX professiona...
Users turn to site-specific chatbots for quick answers, not a conversation. Design responses that are direct, scannable, and easy to expand when needed.
A four-step framework for building influence over product direction by closing the information gaps that large, complex organizations create.
AI agents now interact with digital interfaces alongside humans. Designing for both requires rethinking what "user" means and prioritizing accessibility.
In an era of AI-generated-everything, AI-fatigued users want designs that look like they were made by a person.
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.
MVPs are learning tools that test whether an idea is valuable to users.
With generative UI, the AI system decides to generate an interactive element or entire product in response to a user need. Vibe coding is when users request the...
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 sp...
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.
As AI speeds up design work, the argument to "throw out the process" misrepresents how experienced designers work.
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.
Take up to 6 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX profession...
AI chats generate simple UI elements to gather context, reduce typing and memory load, and produce more useful, personalized results.
Statistical significance helps establish whether a result is reliable, while practical significance helps determine whether it is worth acting on.
Take up to 3 in-depth training courses, teaching user experience best practices for successful design. Live online training focused on long-lasting skills for U...
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