Being data-driven can become a trap when teams mistake metrics for truth and use numbers to avoid judgment, context, and real conversations with users. The article argues for combining quantitative data with qualitative insight, treating metrics as evidence rather than the final decision-maker

Standard accessibility checklists often stop at interface-level fixes and miss cognitive load, executive function, emotional safety, and cultural context. The author argues that inclusive design should treat accessibility standards as a baseline, not a complete solution

AI makes it so cheap to build and extend agentic systems that users often overengineer them into fragile “big balls of mud” they no longer fully understand. NN/g argues that the key skill is not keeping everything perfectly organized, but periodically reviewing what each part does and knowing when it’s time to rebuild

The article uses biblical stories about creation, idolatry, and human ambition to frame today’s relationship with AI. Its central argument is that AI is less a new kind of mind than a mirror of humanity — carrying our knowledge, biases, and tendency to hand power to things we created

Choosing the right chart starts with the question the user needs to answer, not with visual preference or a dashboard template. The article explains how different encodings suit comparison, trends, outliers, composition, and flow — and why strong data UX often combines several complementary visualisations

A UX case study on why young museum visitors can be interested in art yet still lose engagement during a visit because they lack context, storytelling, and guidance. The team designed and tested Museoko, a personalized museum experience built around tailored routes, richer context, and helping visitors connect artworks to their own interests