MUSe is a lightweight framework for estimating product scale through modules, structural depth, unique components, and key user scenarios. It helps teams compare B2B products without confusing the number of screens with actual functional complexity

A curated guide to NN/g’s research on how AI works and how users actually understand and interact with it. It covers prompting patterns, trust and anthropomorphism, AI search behavior, mental models, adoption, and AI literacy

An “optional” field is misleading if skipping it changes what the user gets, breaks functionality, or reduces personalization. The author suggests either explaining the consequence, making the field required, or asking for the data only at the moment it becomes necessary

A practical look at using AI to analyze thousands of reviews, vibe-code research tools, and build a local RAG research repository. The author also stresses privacy, source traceability, and the need to stay critical of confident AI outputs

The case study redesigns NueGo’s booking flow around clearer pickup and drop-off selection, better trip review, and a new round-trip option. The main changes use distance, maps, location details, and stronger visual hierarchy to reduce confusion and booking errors

Two design students reflect on how advocacy work challenged their usual design-thinking process, especially when real people could not easily articulate the problems they faced. By changing their research methods and iterating in the field, they learned that meaningful change often starts with helping people notice and express issues before trying to solve them

UX is not a one-time phase that finishes at launch but a continuous cycle of observing, learning, and improving the product. The article argues that mature teams treat research, feedback, and iteration as an ongoing operating model rather than occasional project work

The article explores how cognitive biases and common UX laws can be used to analyze websites. It focuses on understanding why certain interface patterns influence user attention, behavior, and decision-making