PHILIP BURGESS

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 working on UX projects, I believed that using every research method available would give me the clearest picture of user needs. I thought more data meant better decisions. But soon, I realized that juggling too many methods at once often blurred the insights instead of sharpening them. The challenge is not just collecting data but making sure each method adds value without overwhelming the process or diluting the fin

By Philip Burgess | UX Research Leader User experience (UX) research is essential for designing products that meet real user needs. Yet, even when the research itself is thorough and well-executed, the overall UX research strategy can still fail. This disconnect often leaves teams frustrated and products underperforming. Understanding why this happens helps avoid wasted effort and ensures research truly drives better design decisions. Workspace showing UX research materials a

By Philip Burgess – UX Research Leader UX research is more than a toolkit—it’s a mindset. It’s the discipline that helps teams understand users, reduce risk, and design with empathy. But great research doesn’t happen by accident. It’s built on rigor, clarity, and collaboration. Whether you're scaling a global practice or conducting a single usability test, these best practices will help you deliver insights that matter—and drive decisions that stick. 1. Start with Clear Objec

By Philip Burgess | UX Research Leader User experience (UX) research drives product design and improvement, but its impact depends on clear goals and testable assumptions. When UX research objectives and hypotheses connect well, teams gain focused insights that lead to better decisions. Without this connection, research risks becoming vague or unfocused, wasting time and resources. This post explains how to tie UX research objectives and hypotheses together effectively, with