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

Stay ahead in the ever-evolving field of UX research. Discover the top 5 trends that will shape the industry in 2025, from AI-powered insights to continuous user feedback.

Philip Burgess – UX Research Leader Exploring AI + UX Research to shape better human experiences A New Era for UX Research: The Future of AI and UX Research Artificial intelligence is transforming nearly every aspect of how we work, design, and interact. For UX research, this shift is especially powerful. Instead of replacing the researcher’s role, AI has the potential to amplify workflows, accelerate synthesis, and unlock new possibilities  for how we understand people. We a

As user expectations accelerate and product cycles compress, UX researchers must evolve beyond traditional study methods to embrace continuous, real-time feedback systems. Here's how to build research practices that keep pace with modern product development.

By Philip Burgess - UX Research Leader UX Research and AI: Why Cross-Cultural Research Matters As products scale globally, UX research must go beyond a one-size-fits-all approach. Cultural norms, language, accessibility expectations, and digital behaviors vary dramatically across markets. In the era of AI-powered tools, the challenge — and opportunity — is to adapt research methods to honor cultural context while still benefiting from automation and scale. The Risks of Ignori

By Philip Burgess - UX Research Leader Why UX Research Storytelling Matters in the Age of AI AI is transforming UX research by generating faster insights, surfacing hidden patterns, and analyzing vast datasets. But AI alone cannot bridge the gap between raw findings and strategic decisions. That bridge is storytelling . It’s how researchers translate complex, technical AI outputs into compelling narratives that executives can act on. The Challenge of AI-Generated Insights Ove

By Philip Burgess - UX Research Leader Rethinking Research Participants as UX Research AI Agents Traditionally, UX research relies on recruiting human participants to test products, uncover pain points, and validate assumptions. But with the rise of AI, a new possibility is emerging: AI agents acting as simulated users . While not a replacement for real human feedback, AI-driven participants can stress-test digital journeys, highlight obvious flaws, and accelerate pre-launch

By Philip Burgess - UX Research Leader Why ROI Matters More Than Ever In an era where AI is accelerating workflows and budgets are under constant scrutiny, UX researchers are being asked the same question more often: what’s the measurable business impact of our work?  Demonstrating the ROI (Return on Investment) of UX research is no longer optional — it’s essential for securing executive buy-in, scaling research programs, and proving strategic value. Traditional ROI Challenge

By Philip Burgess - UX Research Leader Resumes have barely changed in decades—static documents, bullet points, and PDFs that rarely capture who you are as a professional. They often feel more like checklists than stories, and they rarely give hiring managers, collaborators, or clients a chance to experience who you are in real time. So, I asked myself: What if a resume could talk back? What if it wasn’t just read—but experienced? That’s exactly what I set out to build with my

By Philip Burgess - UX Research Leader AI is no longer a futuristic concept—it’s quickly becoming a core part of how UX researchers work. From automating repetitive tasks to uncovering new insights, AI tools can enhance efficiency, but they must be used thoughtfully. The goal is not to replace the researcher’s judgment, but to augment human expertise with machine speed and scale . Why Pair UX Research and AI? Efficiency:  Automate time-consuming tasks like transcription, clus

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 Artificial Intelligence is becoming a powerful partner for UX researchers, not a replacement. With the right prompts, AI can accelerate analysis, uncover themes, draft reports, and even suggest new research questions. Below are 50 of the best AI prompts for qualitative UX research , organized by stage of the research process. 1. Research Planning “Suggest 5 open-ended interview questions to understand user frustrations with [product/feat

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

By Philip Burgess - UX Research Leader Competitive audits are essential for identifying UX opportunities, understanding market standards, and guiding product differentiation. But let’s be honest—they’re time-intensive, messy, and often hard to scale across multiple competitors and platforms. This case study explores how our team leveraged AI tools to cut audit time in half , enhance pattern recognition, and deliver richer, more actionable insights to stakeholders. The Challen

Philip Burgess - UX Research Leader Large Language Models (LLMs) like ChatGPT, Claude, and Gemini are transforming the digital landscape—and UX research is no exception. As these tools become more embedded in our workflows and the products we help shape, every UX researcher needs to understand what they are, how they work, and what they mean for our craft. This isn’t just about learning a new tool. It’s about understanding the new terrain of human-computer interaction . What

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 How to Ask Smarter Questions in an AI-Augmented Workflow As UX research evolves in tandem with AI, the way we ask questions is changing. Prompts—whether used in generative tools, synthesis engines, or stakeholder conversations—are becoming the new currency of insight. But not all prompts are created equal. The best prompts don’t just extract data. They unlock meaning. Whether you're guiding AI tools to generate personas, summarize interv