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...
When users didn’t know whether an image was AI-generated, the images we tested did not create any perception penalty compared to stock photos.
Plain-language definitions of the AI terms that come up in product and design work, from tokens and context windows to agents, evals, and prompt injection.
One output cannot establish how well an AI system performs. Evaluate with multiple representative inputs, repeated runs, and confidence intervals.
Psychological ownership can make you more effective, but you’ll struggle if it attaches to things you can’t control. Spot misplaced ownership and redirect it.
Dogfooding, or using your own products internally, helps catch bugs, but it can't replace user research: your team knows too much to represent real users.
Pressure to adopt AI isn't evidence that a tool helps. The PROVE framework tests one tool against one task and produces a provisional decision you can defend.
Take up to 2 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX profession...
NN/G is hiring a People & Culture Generalist. This is a fully remote, permanent role running the day-to-day of our People function. Three to five years of Peopl...
Mentorship is an essential growth tool that offers substantial personal and career benefits, but only if you engage in it properly.
A survey of 604 tech and design professionals found that “UX” remains the default name for our field, while alternative names remain fragmented.
Product sense means predicting which product decisions will succeed based on patterns learned through experimentation — and knowing when those patterns apply.
As more interface work is AI-generated, the output of research and design shifts from documents written for humans to curated context that guides AI.
Even if AI matches researcher-output quality, human-led research will remain essential — the team learning from observing users can't be outsourced.
Dropdown lists can be used in narrow, specific scenarios, but misuse can cause more harm than alternatives.
Take up to 5 in-depth training courses, teaching user experience best practices for successful design. Training focused on long-lasting skills for UX profession...
Handoff willingness, flexibility, proactivity, emotional responsiveness, and transparency help you build trustworthy AI chatbots that guide users well.
Use this maturity model to assess your design system’s health and identify where to focus next.
Different enterprise roles need different types of explanations for AI outputs.
UX teams should report business outcomes — not activity or UX metrics — to show impact on revenue, cost, risk, speed, retention, and to secure resources.
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