By Philip Burgess | UX Research Leader A UX research case study can be a powerful tool to showcase your skills, insights, and impact on a project. But not every case study earns trust or respect. Credibility matters because it helps readers understand your process, learn from your findings, and believe in your conclusions. What exactly makes a UX research case study credible? This post breaks down the key elements that separate strong case studies from weak ones, with practic

By Philip Burgess | UX Research Leader User experience (UX) research plays a crucial role in designing products that truly meet user needs. Yet, many organizations face a challenge: how to make UX research accessible to more team members without sacrificing the quality of insights. Opening up research beyond specialized teams can speed up decision-making and foster a user-centered culture. But if not done carefully, it risks producing unreliable or shallow findings. This post

By Philip Burgess | UX Research Leader Every business today relies heavily on digital assets, and repositories often hold the key to unlocking greater value. Yet many organizations treat their repositories as mere storage spaces for code or documents, missing out on their potential to drive business growth and innovation. Transforming your repository into a strategic asset means using it to support decision-making, improve collaboration, and accelerate product development. Th

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 Agentic AI is changing how we think about artificial intelligence. Unlike traditional AI that follows strict instructions, agentic AI acts with a degree of autonomy, making decisions and taking actions to achieve goals. This shift has significant implications for UX research and the professionals who shape user experiences. What Is Agentic AI? Agentic AI refers to systems designed to operate independently, with the ability to set objecti

By Philip Burgess | UX Research Leader Artificial intelligence has transformed many fields, including research. Yet, AI’s role in research often gets misunderstood. It is not a researcher in the traditional sense but serves best as a research critic. This distinction matters because it shapes how we use AI tools effectively and ethically in academic and scientific work. AI analyzing research data with critical insights Understanding the Difference Between Researcher and Resea

By Philip Burgess | UX Research Leader Artificial intelligence (AI) has transformed many industries, from healthcare to finance, by automating tasks and uncovering insights from vast data. Yet, despite rapid progress, AI systems often fall short of their full potential. The key to unlocking more effective AI lies not just in technology but in the expertise of experienced researchers. These professionals bring critical skills and judgment that machines alone cannot replicate.

By Philip Burgess | UX Research Leader User experience (UX) research has always played a key role in shaping products that meet user needs. Traditionally, UX research involved manual data collection, interviews, and usability testing, which could be time-consuming and limited in scope. Today, artificial intelligence (AI) is transforming how UX research informs decisions, making the process faster, more precise, and more insightful. This shift is changing how teams understand

Research teams often face the challenge of managing vast amounts of information while trying to stay focused on their core tasks. An AI research assistant can help by automating routine tasks, organizing data, and providing quick insights. Building such a tool tailored to your team’s needs can boost productivity and improve the quality of research outcomes. AI research assistant interface on laptop screen AI Research Assistant: Understand Your Team’s Research Workflow Before