PHILIP BURGESS

By Philip Burgess | UX Research Leader User experience (UX) design shapes how people interact with websites, apps, and digital products. But how do designers know which version of a design works best? A/B testing provides a clear answer by comparing two versions of a design to see which performs better. This method helps UX researchers make decisions based on real user behavior instead of assumptions. Comparing two webpage designs in A/B testing What Is A/B Testing in UX? A/B

By Philip Burgess | UX Research Leader User experience (UX) leadership is often talked about in broad terms, but real lessons come from concrete examples. A recent case study I reviewed revealed practical insights into what makes UX leadership effective and impactful. This post breaks down those lessons, focusing on how UX leaders can guide teams, influence product decisions, and create meaningful user experiences. A UX designer creating wireframes during a brainstorming sess

By Philip Burgess - UX Research Leader Quantitative UX research involves collecting numerical data that can be measured, analyzed statistically, and generalized to larger populations. The focus is on metrics, patterns, and trends—helping teams evaluate usability, identify problem areas, and validate design decisions at scale. Examples of quantitative research in UX include: Surveys & Polls  (CSAT, NPS, SUS scores) Task Success Rates  (e.g., percentage of users who complete a