PHILIP BURGESS

By Philip Burgess | UX Research Leader When I first started working in UX research, I often felt overwhelmed by the uncertainty that came with interpreting user data. We would gather feedback, run tests, and analyze results, but there was always a lingering question: Are we really understanding what users need? Over time, I realized that the challenge wasn’t just about collecting data quickly—it was about making sense of it in a way that reduces doubt and leads to confident

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 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