PHILIP BURGESS

By Philip Burgess | UX Research Leader When I first started using AI tools in my UX research, I was excited about the speed and scale they offered. But I quickly realized that without clear guardrails, these tools could lead me astray. AI can generate insights fast, but it can also introduce bias, misinterpret data, or overlook important human context. Designing guardrails for AI-assisted UX research is essential to get reliable, ethical, and useful results. In this post, I’l

By Philip Burgess | UX Research Leader User experience (UX) research has always played a key role in shaping products that meet user needs. Today, artificial intelligence (AI) is transforming this field, shifting UX research from a purely tactical function to a strategic driver of innovation and business growth. This change affects how teams gather insights, make decisions, and design experiences that truly resonate with users. UX researcher reviewing AI-driven insights AI En

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 Research today moves faster than ever, and artificial intelligence plays a key role in helping scholars, scientists, and students manage data, analyze results, and generate insights. Choosing the right AI tools can save time, improve accuracy, and open new possibilities in research. This post highlights some of the best AI tools available in 2025 that are worth using for various research tasks. Researcher working with AI software on lapt

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) 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 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 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 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 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 research demands creativity, precision, and efficiency. AI tools can help researchers generate ideas, analyze data, and communicate findings faster. However, knowing which AI prompts to use can make a big difference in the quality and speed of your work. This post shares essential AI prompts every UX researcher should save to improve their workflow and deliver better insights. A UX research dashboard with visual data and

By Philip Burgess | UX Research Leader Agentic AI is changing how we think about artificial intelligence. Unlike traditional AI that follows strict instructions, agentic AI acts with a degree of autonomy, making decisions and taking actions to achieve goals. This shift has significant implications for UX research and the professionals who shape user experiences. What Is Agentic AI? Agentic AI refers to systems designed to operate independently, with the ability to set objecti

By Philip Burgess | UX Research Leader User experience (UX) research has always played a key role in shaping products that meet user needs. Traditionally, UX research involved manual data collection, interviews, and usability testing, which could be time-consuming and limited in scope. Today, artificial intelligence (AI) is transforming how UX research informs decisions, making the process faster, more precise, and more insightful. This shift is changing how teams understand

By Philip Burgess | UX Research Leader Research teams often face the challenge of managing vast amounts of information while trying to stay focused on their core tasks. An AI research assistant can help by automating routine tasks, organizing data, and providing quick insights. Building such a tool tailored to your team’s needs can boost productivity and improve the quality of research outcomes. AI research assistant interface on laptop screen AI Research Assistant: Understan

By Philip Burgess | UX Research Leader Artificial intelligence (AI) has transformed many industries, from healthcare to finance, by automating tasks and uncovering insights from vast data. Yet, despite rapid progress, AI systems often fall short of their full potential. The key to unlocking more effective AI lies not just in technology but in the expertise of experienced researchers. These professionals bring critical skills and judgment that machines alone cannot replicate.

By Philip Burgess | UX Research Leader Creating user experience (UX) designs quickly without losing quality is a challenge many designers face. AI prompt templates offer a practical way to speed up UX synthesis by providing structured starting points for generating ideas, wireframes, and user flows. This post explores how using AI prompt templates can help UX professionals work more efficiently while maintaining creativity and clarity. UX wireframe template displayed on lapto

By Philip Burgess | UX Research Leader Artificial intelligence has transformed many fields, including research. Yet, AI’s role in research often gets misunderstood. It is not a researcher in the traditional sense but serves best as a research critic. This distinction matters because it shapes how we use AI tools effectively and ethically in academic and scientific work. AI analyzing research data with critical insights Understanding the Difference Between Researcher and Resea

Discover how artificial intelligence is revolutionizing UX research, from automated data analysis to predictive user behavior. Learn best practices for combining AI's analytical power with human expertise.

Discover how artificial intelligence is revolutionizing UX research methodologies, making user insights faster, more scalable, and more actionable than ever before.

By Philip Burgess - UX Research Leader By Philip Burgess – UX Research Leader 📧 phil@philipburgess.net  | 🌐 www.philipburgess.net Understanding the Foundation: What Is UX Research Card Sorting? Card sorting has been a cornerstone of UX research and information architecture (IA) for decades. It’s a deceptively simple method—participants group related concepts or “cards” into categories that make sense to them.The outcome?A clearer understanding of how users mentally organize