PHILIP BURGESS

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 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 (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

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 Quantitative UX research is all about uncovering the “what” and “how much” behind user behavior. It leverages data from surveys, experiments, analytics, and large-scale usability testing to generate statistically valid insights. While qualitative research explains the why , quantitative research measures the scale  and impact . AI can supercharge this work by helping UX researchers craft better survey questions, analyze large datasets, i

By Philip Burgess - UX Research Leader AI isn’t replacing UX research—but it can amplify our workflows if used thoughtfully. The key? Knowing how to prompt effectively  so the output supports research goals without introducing bias or over-simplification. Here are some of the the best UX Research AI prompts—plus why they matter and examples you can use right away. 1. Planning & Scoping When time is short, AI can help frame a structured research plan. Prompt Example: “Create a

By Philip Burgess - UX Research Leader Usability testing is the cornerstone of great UX—rich with user feedback, interaction pain points, and design validation. But once the sessions are over, one thing looms large: the dreaded usability report . For many UX researchers, analyzing sessions, pulling quotes, tagging issues, and building a report can take hours —sometimes days . But what if AI could automate that process without sacrificing depth? Here’s how we used AI to automa

Philip Burgess - UX Research Leader As artificial intelligence (AI) continues to enter the UX world, many researchers are asking: What exactly is the difference between AI-powered research and traditional UX research?  Are we evolving or replacing our practice? The answer lies not in opposition—but in augmentation. Traditional UX Research: Depth Through Human Empathy Traditional UX research is rooted in human-centered principles . Whether it's moderated interviews, contextual

By Philip Burgess - UX Research Leader In the ever-evolving landscape of UX research, artificial intelligence isn’t just a trend—it’s a transformation. From streamlining analysis to unlocking new capabilities, AI is redefining how researchers work, where we spend our time, and what’s possible within our processes. From Labor-Intensive to Lightning Fast Historically, UX research has been time-consuming. Transcribing interviews, synthesizing insights, coding data, and writing r

By Philip Burgess - UX Research Leader AI is quickly becoming an essential partner for UX researchers. From brainstorming research questions to synthesizing findings, the right prompts can unlock faster insights and help teams scale research impact. Below is a curated list of 100 AI prompts for UX research , organized into categories you can use throughout the research lifecycle. Research Planning & Strategy Generate research questions about [specific feature/product]. Create

By Philip Burgess | UX Research Leader User experience (UX) research has always been a vital part of designing products that meet user needs. Yet, traditional methods often involve time-consuming data collection and analysis, which can delay insights and decision-making. Artificial intelligence (AI) is changing this landscape by offering faster, more precise ways to understand users and improve their interactions with digital products. This post explores how AI is transformin