AI Can Help with Survey Writing, But It Still Requires Human Expertise
AI can produce polished survey drafts quickly, but experienced human review is still needed to catch subtle survey-design flaws that weaken data quality.
Nielsen Norman Group Articles
Updated 3 min ago · 20 articles from Nielsen Norman Group
A Concrete Definition of an AI Agent
An AI agent pursues a goal by iteratively taking actions, evaluating progress, and deciding next steps. Useful agents must be reliable, adaptive, and accurate.
Minimum Viable Product (MVP): Definition
MVPs are learning tools that test whether an idea is valuable to users.
GenUI vs. Vibe Coding: Who’s Designing?
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 ...
New Artificial Intelligence Specialty for UX Certification
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...
The 3 C’s of Informational Microcopy
Well-written informational microcopy should be clear, concise, and have character.
What Is Your Site's AI Chatbot for? Users Can't Tell
Users see little reason to use site AI chatbots. To prove their value, chatbots must solve problems that existing site features don't.
The Methodological Problems Hiding in Your Research Tools
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.
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Design Process Isn't Dead, It’s Compressed
As AI speeds up design work, the argument to "throw out the process" misrepresents how experienced designers work.
UX Conference June Announced (Jun 13 - Jun 26)
Take up to 6 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX profess...
Statistical Significance Isn’t the Same as Practical Significance
Statistical significance helps establish whether a result is reliable, while practical significance helps determine whether it is worth acting on.
The Most Exciting Development in GenUI: Buttons and Checkboxes
AI chats generate simple UI elements to gather context, reduce typing and memory load, and produce more useful, personalized results.
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