User experience (UX) metrics guide teams in understanding how users interact with products and services. But how often should teams review these metrics? Monthly or quarterly? The answer depends on the goals, product lifecycle, and the type of data collected. This post explores the benefits and drawbacks of both approaches and offers practical advice on what UX metrics teams should focus on to make informed decisions. Monthly vs. Quarterly UX Metrics Why Frequency Matters in

User experience (UX) research often involves gathering large amounts of data from users. The challenge lies in distinguishing signal —the meaningful insights that guide design decisions—from noise , the irrelevant or distracting information that can cloud judgment. Knowing how to separate these two is essential for creating products that truly meet user needs. Signal vs. Noise What Signal and Noise Mean in UX Research In UX research, signal refers to the valuable information

By Philip Burgess | UX Research Leader When I first started working in UX research, analyzing data felt overwhelming. There were so many numbers, user comments, and behavioral patterns to sift through. I knew AI could help, but I wasn’t sure how to ask the right questions or use prompts effectively. Over time, I discovered specific AI prompts that transformed my approach to data analysis. These prompts helped me uncover insights faster and make stronger design decisions. If y

By Philip Burgess - UX Research Leader Quantitative UX research is all about uncovering the “what” and “how much” behind user behavior. It leverages data from surveys, experiments, analytics, and large-scale usability testing to generate statistically valid insights. While qualitative research explains the why , quantitative research measures the scale  and impact . AI can supercharge this work by helping UX researchers craft better survey questions, analyze large datasets, i