By Philip Burgess | UX Research Leader When AI tools deliver insights at lightning speed, it feels like decision-making should become faster too. Yet, I’ve noticed the opposite happening in many cases: quicker AI insights sometimes slow down the actual decisions. This might sound counterintuitive, but the reality is more complex. I want to share what I’ve learned about why faster AI insights don’t always translate into faster decisions and what we can do about it. Faster AI I

By Philip Burgess | UX Research Leader Artificial intelligence research moves fast. Every week, new papers, models, and breakthroughs appear, promising to change how we live and work. But I’ve learned that taking AI research outputs at face value can lead to misunderstandings, misplaced trust, and even setbacks. In this post, I want to share my experience and insights on why it’s crucial to look beyond the headlines and dig deeper into what AI research really means. What happ

By Philip Burgess | UX Research Leader When I first started writing UX research case studies, I thought the story was simple: show the problem, explain the research, and present the solution. But over time, I realized many case studies miss a crucial part — demonstrating the real impact of the research. This gap often leaves readers wondering if the research made any difference at all. In this post, I want to share what I’ve learned about why most UX research case studies fai

By Philip Burgess | UX Research Leader When I first started working in the UX field, I often found myself confused by the terms "UX research case study" and "UX design case study." They seemed similar on the surface, but as I gained experience, I realized they serve very different purposes and highlight distinct parts of the product development process. Understanding these differences can help you communicate your work more clearly and showcase your skills effectively. A UX r

By Philip Burgess | UX Research Leader Starting a ResearchOps function can feel overwhelming. When I first faced this challenge, I didn’t have a clear roadmap. I knew research was crucial for product success, but organizing it efficiently was a puzzle. Over time, I learned that building ResearchOps is about creating a system that supports research activities, making them smoother and more impactful. If you’re ready to build your ResearchOps function from scratch, I’ll share p

When I first started designing research projects, I often relied on intuition or traditional methods without much reflection on what data could tell me about my approach. Over time, I realized that analytics could be a powerful tool to guide my decisions about which research methods to use next. Using analytics not only saves time and resources but also improves the quality and relevance of research outcomes. In this post, I’ll share how I use analytics to shape my research m

Landing a UX research role often means sending out dozens of resumes, each tailored to a specific job description. But rewriting your entire resume for every application can be exhausting and time-consuming. I’ve been there, and I found a way to make this process smarter and more efficient. You can tailor your UX research resume for each role without rewriting it from scratch. Here’s how I do it, step-by-step, so you can spend less time editing and more time preparing for int

By Philip Burgess | UX Research Leader When I first joined a product team as a UX researcher, I quickly realized that not all research efforts were pulling in the same direction. Some projects focused heavily on usability testing, while others prioritized market trends or stakeholder opinions. At first, I thought this diversity was a strength. But soon, I noticed a pattern: when UX research priorities were misaligned, the product suffered in ways that were hard to measure but

By Philip Burgess | UX Research Leader When I first started designing research studies, I often faced a frustrating challenge: investing weeks or even months recruiting participants only to find that my hypotheses were weak or flawed. This meant wasted time, resources, and sometimes the need to start over. Over time, I discovered a powerful way to avoid this pitfall—using artificial intelligence to stress-test research hypotheses before recruiting anyone. This approach transf