Low impact

UX Disciplines: Glossary

Definitions of fields related to user experience, including UX design, UI design, visual design, interaction design, service design, UX research, and DesignOps

AI in UX: Work Is Faster, But Practitioners Have Mixed Feelings

AI saves UX practitioners time on nearly every task, yet most feel lukewarm about it: mandates, unreliable output, and inflated expectations eat the gains.

Synthetic Users vs. Human Respondents: Same Conclusion, Less Variation

Data from AI-generated respondents pointed to the same conclusion as a survey of 604 humans but contained far fewer distinct answers.

Content & Quality

UX Maps: Glossary

Use this glossary to quickly clarify key terms and concepts related to UX maps.

The New Siri’s Biggest Strength Is Not Intelligence

A useful AI assistant needs relevant personal context, the capability to use it, and an experience that helps users understand its limits.

Context Libraries: How AI Power Users Manage Context Engineering

Claude power users rarely edit their context files and often can’t find them. Your AI agent is only as powerful as its context library.

Empathy Mapping: The First Step in Design Thinking

Empathy maps help UX teams visualize user attitudes and behaviors, building a shared understanding of end users while highlighting gaps in existing user data.

The New Big Ball of Mud: Why Agentic AI Systems Turn Fragile

AI makes building nearly free, so users grow agentic systems piecemeal into fragile messes they no longer understand.

How AI Works and How Users Think About It: Study Guide

Unsure where to start? Use this collection of links to our articles and videos to learn about how artificial intelligence works, and how users think about it.

When Should You Disclose AI Use? The PACED Framework

How people react to being told that AI helped create a piece of content varies with audience, context, the nature and degree of AI use.

Designing AI Products and Features: Study Guide

Unsure where to start? Use this collection of links to our articles and videos to learn about recommendations for designing AI products and features.

The 3 Roles of Context for AI Agents

AI-agent power users curate 3 kinds of context: global (across tasks), local (task-specific), and ambient (raw streams like email).