PHILIP BURGESS

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

When it comes to sharing UX research insights, clarity is king. We all know that a well-structured report can make or break how our findings are received. But how do we craft a UX findings template that’s not just functional but also engaging and easy to digest? Let’s dive into the art and science of creating effective UX findings templates that help us communicate our discoveries clearly and inspire action. Why a UX Findings Template Guide Matters We’ve all been there: stari

By Philip Burgess | UX Research Leader When I first started working in the UX field, I often found myself confused by the terms "UX research case study" and "UX design case study." They seemed similar on the surface, but as I gained experience, I realized they serve very different purposes and highlight distinct parts of the product development process. Understanding these differences can help you communicate your work more clearly and showcase your skills effectively. A UX r

By Philip Burgess | UX Research Leader User experience (UX) research generates vast amounts of qualitative and quantitative data. Organizing this data effectively is essential to uncover meaningful insights that improve product design and user satisfaction. One powerful method to manage and analyze UX data is through tagging taxonomies . This guide explains how to build and use tagging taxonomies in UX research, offering practical advice and examples to help you get started.

By Philip Burgess - UX Research Leader Role:  Manager, User Experience Research (player/coach) Company:  Fortune 50 healthcare organization (multi‑line) Timeline:  12 weeks (Phase 1) Team:  1 PM, 2 Product Designers, 1 Content Designer, 1 Data Analyst, 1 UXR (me), Eng Lead Headline Outcome We improved task success and perceived ease/satisfaction for “Find Your Benefits” by  ~20–22%  and lifted engagement with the benefits area to a top‑five feature within a month of release.