About John

I'm a UX research leader who specializes in AI products: how people come to notice, use, and trust them. I've spent 6 years in tech at Google, Meta, JPMorgan Chase, and DAT, building on a background in behavioral science. Most of that time I've been standing up research where it was broken or didn't exist, and turning it into product and business strategy.

At JPMorgan Chase, I was the sole UX researcher in MLIO, the firm's machine learning and AI product space, and led the research on the agent-assist pilot that became EVEE. The work became a patented team invention, and the changes it drove preceded a 30% drop in average handle time. At DAT, I led research on a $358M ARR load board, including trust and adoption of ML pricing and fraud-detection products, led the 0-to-1 discovery behind a product that reached $4.93M peak MRR in its launch year, and built the firm-wide CSAT practice that lifted broker experience from 57% to 83%. At Google AI, I took an ML-powered captioning wearable out of the lab and into real-world testing. At Meta, my research informed advertiser messaging through Apple's App Tracking Transparency rollout.

I build people, not just practices. At JPMorgan Chase, TriumphPay, and DAT, I trained the researchers who went on to succeed me, and I've taught designers and product managers to run their own studies to a defined standard. I use AI to draft, synthesize, and pressure-test faster; the judgment about what matters and what ships stays with me.

Underneath it all is a behavioral science lens: operational definitions, careful measurement, and attention to what people actually do, not just what they say. It's the foundation of how I approach AI maturity.