Digital Product Design
AI in UX: Work Is Faster, But Practitioners Have Mixed Feelings
A survey of 521 UX practitioners finds broad access to AI and reported time savings, but concerns about output quality and privacy remain. The task and workplace matter.
Synthetic Users vs Human Respondents: What NN/g’s 604-Person Study Found
NN/g ran the same open-ended survey question through 604 humans and 120 AI-generated respondents. The headline conclusion matched. The texture of the answers did not.
shadcn/ui vs Radix vs Bootstrap: Which Free UI Library Fits Your Project?
Six free component libraries, one real decision. Here’s what each one actually asks of you before you ship.
10 Free Anthropic Courses on Coursera: Which Ones Are Worth It
Anthropic put 10 courses on Coursera for free on 5 October 2026. Only a few of them are actually built for designers and makers — here is how to pick.
Free UI Libraries for Product Designers: Which Fit?
Some options provide unstyled components; others are icon collections. Compare the free and paid choices by framework, price and the trade-off each asks you to accept.
Are Coursera’s free AI courses useful for designers?
Coursera’s new set of free Anthropic courses includes options for creative work and product development. The useful choice depends on what you want to learn.
Uxcel vs Memorisely vs Designlab: Which Design Certification Is Worth Paying For in 2026
Three paid design-certification platforms, three different bets. Here’s how Uxcel, Memorisely and Designlab differ in 2026 — and which one is worth the money for a working designer or a student.
Figma’s 2026 Release Wave: What Actually Changed for Working Designers
Figma’s 2026 release notes list a lot: Weave nodes, publishable Weave tools, opacity variables, Motion in beta. Here’s which of it touches a real file this month, and which is safe to leave alone.
NN/g’s AI Design Study Guide: What to Read First
NN/g’s new study guide pulls its AI product-design research into one place. The interesting part isn’t the list — it’s that the list starts with whether you should build the feature at all.
Designing AI Products: The Learning Path NN/g Actually Recommends
NN/g’s new study guide collects years of AI design research into one page. Here’s the order to actually read it in, and the three questions that decide whether your AI feature is worth building.
