PHILIP BURGESS

By Philip Burgess | UX Research Leader When I first encountered AI confidence scores, I assumed they worked just like the confidence levels I learned about in research studies. It seemed natural to think that a high AI confidence score meant the same thing as a high confidence interval in scientific research. Over time, I realized this assumption was misleading. The two concepts serve different purposes and come from very different processes. Understanding these differences c

Discover how artificial intelligence is revolutionizing UX research, from automated data analysis to predictive user behavior. Learn best practices for combining AI's analytical power with human expertise.

By Philip Burgess - UX Research Leader AI is no longer a futuristic concept—it’s quickly becoming a core part of how UX researchers work. From automating repetitive tasks to uncovering new insights, AI tools can enhance efficiency, but they must be used thoughtfully. The goal is not to replace the researcher’s judgment, but to augment human expertise with machine speed and scale . Why Pair UX Research and AI? Efficiency:  Automate time-consuming tasks like transcription, clus

By Philip Burgess - UX Research Leader AI isn’t replacing UX research—but it can amplify our workflows if used thoughtfully. The key? Knowing how to prompt effectively  so the output supports research goals without introducing bias or over-simplification. Here are some of the the best UX Research AI prompts—plus why they matter and examples you can use right away. 1. Planning & Scoping When time is short, AI can help frame a structured research plan. Prompt Example: “Create a