Designing AI Agents: 4 Lessons from China’s Qwen Agent
A study of Qwen's AI agent reveals 4 design lessons: support discoverability, reuse familiar patterns, handle personal data carefully, and protect user auton...
Nielsen Norman Group Articles
Updated just now · 20 articles from Nielsen Norman Group
UX Writing: FAQs from Practitioners
Get answers to frequently asked questions about UX writing from attendees of NN/G’s Writing Compelling Digital Copy course.
Selection Criteria: How to Pick Your Participants
Rigorous selection criteria protect study validity. Learn how to define inclusion, exclusion, and diversity criteria to avoid costly misrecruits.
Information Seeking in China: A Different Ecosystem, Familiar Behavior
Information seeking in China is driven by mobile social-media apps. But how users prompt and engage with genAI mirrors what we've seen in the West.
Job Opening: UX Design Assistant (Remote, World-Wide; Europe Based)
We’re looking for a talented UX design assistant to join the team. Applications due May 18, 2026.
Job Opening: UX Design Assistant (Remote, World-Wide; US Based)
We’re looking for a talented UX design assistant to join the team. Applications due May 18, 2026.
10 Guidelines for Designing Your Site’s AI Chatbots
Helpful site-specific AI chatbots clearly state their capabilities, offer relevant prompt suggestions, and quickly signal they know what users are looking at.
Why User Panels Fail
User panels can deteriorate in predictable ways, introducing bias and reducing their effectiveness for ongoing research.
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Boost Design Autonomy with an Information Pipeline
A four-step framework for building influence over product direction by closing the information gaps that large, complex organizations create.
Less Chat, More Answer: Site AI Chatbots Need to Get to the Point
Users turn to site-specific chatbots for quick answers, not a conversation. Design responses that are direct, scannable, and easy to expand when needed.
Handmade Designs: The New Trust Signal
In an era of AI-generated-everything, AI-fatigued users want designs that look like they were made by a person.
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