By Philip Burgess | UX Research Leader User experience (UX) research relies on clear, accurate insights to shape products that truly meet user needs. As artificial intelligence (AI) tools become more common in UX research, they offer powerful ways to analyze data and uncover patterns. Yet, AI can also introduce errors that reduce the quality of research findings. Avoiding these mistakes is essential to maintain trust in your UX insights and build better user experiences. This

By Philip Burgess | UX Research Leader User experience (UX) researchers face growing challenges as AI tools become part of their daily workflow. Crafting effective AI prompts can unlock powerful insights, speed up analysis, and improve design decisions. Yet, many UX researchers struggle to write prompts that deliver clear, relevant, and actionable results. Mastering the right AI prompt frameworks can transform how you gather and interpret user data. This post explores 10 esse

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

By Philip Burgess | UX Research Leader User experience (UX) design is evolving rapidly, and one of the biggest questions today is how much of this work will be done by artificial intelligence. Agentic AI, which can act independently to complete tasks, is advancing quickly. Some experts predict that it could replace up to 50% of UX tasks in the near future. This shift will change how designers work and what skills they need. Let’s explore what this means for UX design and how

By Philip Burgess | UX Research Leader User experience (UX) research is essential for creating products that truly meet user needs. With the rise of artificial intelligence (AI), many UX research tasks are evolving. AI tools can now handle data collection, analysis, and pattern recognition faster than ever. Yet, some parts of UX research still require human insight, empathy, and creativity. This post explores which UX research tasks AI will automate and which ones will remain

By Philip Burgess | UX Research Leader User experience (UX) research has always been a vital part of designing products that truly meet user needs. As technology advances, the methods and tools used in UX research evolve as well. Artificial intelligence (AI) is set to change the way UX researchers gather, analyze, and apply data by 2026 and beyond. This transformation will make research faster, more accurate, and more insightful, ultimately improving how products connect with

By Philip Burgess | UX Research Leader Cognitive walkthroughs offer a powerful way to evaluate how users interact with a product or system. They focus on understanding the user's thought process as they complete tasks, helping designers spot usability problems early. This method is especially useful for improving software interfaces, websites, and other interactive systems where user experience matters. Person conducting a cognitive walkthrough on a digital interface What Is

When designing a product or interface, identifying usability problems early can save time and resources. One effective method to find these issues is heuristic evaluation. This technique involves experts reviewing a product against established usability principles to spot problems that might confuse or frustrate users. Understanding heuristic evaluations helps teams improve user experience before launching or updating a product. Expert conducting heuristic evaluation on a web

Preference testing plays a crucial role in understanding what people like and why they make certain choices. Whether you are developing a product, designing a website, or creating content, knowing your audience’s preferences helps you make better decisions. This post explores what preference testing is, how it works, and practical ways to apply it effectively. Preference Testing What Is Preference Testing? Preference testing is a method used to find out which option people pr