Artificial intelligence is reshaping many fields, and UX research is no exception. Yet, the introduction of AI tools often brings uncertainty and hesitation among teams. Leading a UX research team through AI adoption requires clear communication, practical strategies, and a focus on human-centered values. This post explores how to guide your team confidently through this change without fear. Leading UX Research Teams Through AI Adoption Without Fear Understand the Role of AI

By Philip Burgess | UX Research Leader User experience (UX) research is essential for creating products that truly meet user needs. Recently, artificial intelligence (AI) tools have become popular for speeding up data analysis and generating insights. While AI offers clear benefits, relying too heavily on it in UX research can lead to serious pitfalls. This post explores why depending too much on AI can harm the quality of UX research and what researchers should keep in mind

By Philip Burgess | UX Research Leader The rise of artificial intelligence has transformed many fields, including user experience (UX) research. AI tools can analyze large datasets, identify patterns, and even generate user insights faster than ever before. Yet, despite these advances, the future of UX research depends heavily on human skills that AI cannot replicate. Understanding why these skills remain essential helps UX professionals prepare for a future where technology