Philip Burgess – UX Research Leader Exploring AI + UX Research to shape better human experiences A New Era for UX Research: The Future of AI and UX Research Artificial intelligence is transforming nearly every aspect of how we work, design, and interact. For UX research, this shift is especially powerful. Instead of replacing the researcher’s role, AI has the potential to amplify workflows, accelerate synthesis, and unlock new possibilities  for how we understand people. We a

As user expectations accelerate and product cycles compress, UX researchers must evolve beyond traditional study methods to embrace continuous, real-time feedback systems. Here's how to build research practices that keep pace with modern product development.

By Philip Burgess - UX Research Leader UX Research and AI: Why Cross-Cultural Research Matters As products scale globally, UX research must go beyond a one-size-fits-all approach. Cultural norms, language, accessibility expectations, and digital behaviors vary dramatically across markets. In the era of AI-powered tools, the challenge — and opportunity — is to adapt research methods to honor cultural context while still benefiting from automation and scale. The Risks of Ignori

By Philip Burgess - UX Research Leader Why UX Research Storytelling Matters in the Age of AI AI is transforming UX research by generating faster insights, surfacing hidden patterns, and analyzing vast datasets. But AI alone cannot bridge the gap between raw findings and strategic decisions. That bridge is storytelling . It’s how researchers translate complex, technical AI outputs into compelling narratives that executives can act on. The Challenge of AI-Generated Insights Ove

By Philip Burgess - UX Research Leader Rethinking Research Participants as UX Research AI Agents Traditionally, UX research relies on recruiting human participants to test products, uncover pain points, and validate assumptions. But with the rise of AI, a new possibility is emerging: AI agents acting as simulated users . While not a replacement for real human feedback, AI-driven participants can stress-test digital journeys, highlight obvious flaws, and accelerate pre-launch

By Philip Burgess - UX Research Leader Why Ethics of AI in UX Research Matters AI is reshaping how we conduct UX research — from automated transcription and sentiment analysis to predictive modeling of user behavior. While these tools bring speed and scale, they also introduce new ethical challenges. UX researchers must ensure that automation doesn’t come at the expense of consent, privacy, or participant trust. Key Ethical Challenges Informed Consent : Are participants fully

Why ROI Matters More Than Ever In an era where AI is accelerating workflows and budgets are under constant scrutiny, UX researchers are being asked the same question more often: what’s the measurable business impact of our work?  Demonstrating the ROI (Return on Investment) of UX research is no longer optional — it’s essential for securing executive buy-in, scaling research programs, and proving strategic value. Traditional ROI Challenges in UX Research Intangible outcomes :

By Philip Burgess - UX Research Leader Resumes have barely changed in decades—static documents, bullet points, and PDFs that rarely capture who you are as a professional. They often feel more like checklists than stories, and they rarely give hiring managers, collaborators, or clients a chance to experience who you are in real time. So, I asked myself: What if a resume could talk back? What if it wasn’t just read—but experienced? That’s exactly what I set out to build with my

As user expectations accelerate and product cycles compress, traditional research methods are giving way to continuous feedback loops. Here's how to build a research practice that keeps pace with modern product development.