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

By Philip Burgess - UX Research Leader What the Balance Looks Like As AI continues to reshape the landscape of design and decision-making, UX research stands at a pivotal crossroads. The question is no longer whether machine intelligence will play a role—it already does. The real question is: how do we balance the precision of algorithms with the depth of human empathy? This isn’t a story of replacement. It’s a story of integration. Empathy Isn’t Optional At its core, UX rese

By Philip Burgess - UX Research Leader Why Human-Centered Insight Still Matters in an AI-Driven World The rise of AI has sparked a wave of speculation across industries, and UX research is no exception. With machine learning models capable of parsing user behavior, generating personas, and even predicting design outcomes, it’s fair to ask: will AI replace UX researchers? The short answer? No. But the long answer is far more interesting—and essential for leaders navigating the

By Philip Burgess - UX Research Leader As AI continues to reshape industries, UX researchers face a pivotal opportunity: not just to adapt, but to lead. In AI-first organizations—where machine learning, automation, and predictive systems drive product strategy—the role of UX research is evolving from tactical support to strategic stewardship. Here’s what that future looks like. From Usability to Explainability Traditional UX research has focused on usability, clarity, and sat

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 transforming UX research and what this means for c