PHILIP BURGESS

By Philip Burgess | UX Research Leader When I first started working in user experience, I was eager to quantify every insight I gathered. It seemed logical: if something is important, it should be measurable. But over time, I realized that not every UX insight fits neatly into a metric. Some insights lose their meaning or even mislead when forced into numbers. This post shares why some UX insights should remain qualitative and how turning them into metrics can sometimes do mo

By Philip Burgess | UX Research Leader When I first started working on digital products, I noticed something troubling. Teams often postponed fixing user experience problems, thinking they could handle them later. But those small issues piled up, creating what I now understand as UX debt. Like financial debt, UX debt grows over time and can seriously hurt a product’s success. That’s why measuring UX debt with clear metrics is essential. It helps teams see the real cost of ign

By Philip Burgess | UX Research Leader When I first started working with product teams, I noticed a common problem: the way UX research metrics and business KPIs were handled often caused confusion and misalignment. Teams would focus heavily on UX data without connecting it to business goals, or they would chase KPIs without understanding the user experience behind the numbers. This disconnect slows progress and leads to missed opportunities. In this post, I want to share wha

By Philip Burgess | UX Research Leader User experience (UX) research plays a crucial role in designing products that meet user needs and expectations. However, without clear metrics, it’s difficult to measure success or identify areas for improvement. Choosing the right UX metrics ensures your research plan delivers actionable insights that guide design decisions. This post highlights the essential UX metrics every research plan should include to provide a clear picture of us

By Philip Burgess | UX Research Leader Understanding how users interact with your product is essential to creating a great user experience. But tracking the right data can feel overwhelming, especially if you’re new to UX metrics. This post offers a clear starter kit with practical templates designed for beginners. You will learn which metrics matter, how to collect them, and how to use simple templates to organize your findings. Workspace showing UX metric sketches and notes

By Philip Burgess | UX Research Leader Understanding how your UX research efforts impact product development and user satisfaction can be challenging without clear metrics. A well-designed UX Research KPI Dashboard Template helps teams track progress, identify issues, and communicate results effectively. This post explains how to build and use such a dashboard to measure the success of your UX research initiatives. Dashboard displaying UX research KPIs with charts and data Wh

By Philip Burgess | UX Research Leader User experience (UX) testing aims to understand how real users interact with a product and identify areas for improvement. Among the many metrics available, task success rate stands out as one of the most direct and reliable indicators of usability. It measures whether users can complete a specific task within a product, reflecting how intuitive and effective the design truly is. This post explores why task success rate matters, how to

By Philip Burgess | UX Research Leader Understanding user experience (UX) metrics is crucial for making informed design decisions. However, raw numbers alone can be misleading without a sense of their reliability. Confidence intervals provide a way to express the uncertainty around UX measurements, helping teams understand how much trust to place in their data. This post explains how to build confidence intervals for UX metrics, making your analysis clearer and more actionabl

By Philip Burgess - UX Research Leader UX research is not only about what users do  but also about what they believe, prefer, and expect . While behavioral analytics reveals the actions people take, attitudinal analytics  uncovers the perceptions that drive those actions. Together, they give researchers the full picture: behavior explains the what , and attitudes explain the why . What Is Attitudinal Analytics? Attitudinal analytics is the structured measurement of user belie

By Philip Burgess - UX Research Leader As UX research teams grow, leaders face an important challenge: how do you measure and demonstrate the value of research without reducing people to vanity metrics?  Tracking researcher performance and team outcomes helps align research with business goals, ensures career growth for researchers, and makes a strong case for continued investment in UX research. Here’s a breakdown of what to track, how to track it, and best practices for doi

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