UX Digest - best posts

I Thought I Already Knew How to Do Research A reflection on the difference between collecting findings and actually synthesizing them into insights. The key shift is building a traceable chain from evidence to patterns, interpretations, and product decisions NNG: Do Participants Say Less to AI Than to Human Moderators? In a controlled study, participants spoke 45% less with AI moderators, while AI-led interviews were 37% shorter and much more moderator-dominated. The result suggests AI moderation can reduce participant elaboration, although more talking does not automatically mean better insights Prototyping: We’re Trying Hard to Design the Right Solution, But Did We Design the Right Path? A product can be built for the right audience while the path to its value still ignores their needs. The author uses Inflow’s 37-step onboarding for people with ADHD to show why reducing friction and demonstrating value before collecting sensitive data can matter AI: Vibe coding alone Vibe coding let the author turn a decade-old budgeting spreadsheet into a working tool without a developer — and made her question what gets lost when everyone starts replacing colleagues with AI. The punchline comes later: the tool wipes her data, and Claude can’t help her recover it Opinion: Why Researchers Need to Build Researchers lose context when insights pass through reports, designers, and developers before becoming a product. Learning to prototype and build lets them turn research directly into testable solutions without becoming full-time engineers Design: If You Don’t Get Lost in a City, a Designer Probably Did Their Job Well Copenhagen’s public transport shows how wayfinding, consistency, and progressive disclosure can make a complex system feel effortless. Good design gives people the right information at the right moment and often works best when users barely notice it Basics: Low Fidelity - A Concept First Approach to Design Low-fidelity prototypes help teams test the concept before visual polish makes a weak idea look convincing. Their value is not speed itself, but exposing gaps, inviting critique, and making problems cheaper to fix early @uxdigest