A study of Qwen's AI agent reveals 4 design lessons: support discoverability, reuse familiar patterns, handle personal data carefully, and protect user autonomy.
Helpful site-specific AI chatbots clearly state their capabilities, offer relevant prompt suggestions, and quickly signal they know what users are looking at.
AI can assist your UX research analysis — but shouldn't lead it. Discover four responsible ways to use AI as a thought partner while keeping critical thinking and interpretation in your hands.
Users turn to site-specific chatbots for quick answers, not a conversation. Design responses that are direct, scannable, and easy to expand when needed.
AI agents now interact with digital interfaces alongside humans. Designing for both requires rethinking what "user" means and prioritizing accessibility.
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.
AI interviewers can conduct user interviews on your behalf, but they come with real limitations. Learn how they work, how well they perform, and the best use cases for adding them to your research toolkit.
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 AI to build it.
Outcome-oriented design shifts how we approach UX in the AI era. Instead of designing single interfaces, designers now define adaptive frameworks that respond to individual user goals rather than optimizing for average user needs.
Although AI is (usually) good at editing, it doesn’t mean good prompting practices should be ignored. These 3 tips will help take AI edits to the next level.
As AI becomes central to service delivery, traditional service metrics must evolve — new measures will assess AI-to-AI performance, human-AI collaboration, data quality, and user trust.
