I turn user insights into strategic decisions that drive growth and innovation.
Decisions get grounded in evidence, not opinion. Product and engineering leads stop debating what users want and start working from what users actually do. Roadmap conversations shift from HiPPO-driven to evidence-driven.
Cross-functional teams align faster. Research becomes a shared language across product, design, and engineering. I've spent my career translating between technical and non-technical stakeholders, building the trust and facilitation muscle that makes insights land in the right rooms at the right time.
Your AI and automation features get built right the first time. I bring 25+ years of studying how people calibrate trust in automated systems, from aviation flight decks to enterprise AI. That means fewer costly redesigns when users can't understand what your model is doing or why.
Case studies from recent product research and strategy work.
I designed and validated a new-to-world AI-powered clause library for the Evisort contract management platform, resulting in a successful feature launch and a massive increase in user adoption within three months post-launch.
My research and recommendations improved product-market fit, increased visitor understanding and trust, and led to a 100% increase in conversions.
I built a repeatable three-method evaluation practice and applied it across multiple organizations, leading to better user experiences for my clients' customers and conformance with accessibility guidelines and standards.
Using rapid discovery, facilitation, and design techniques, I designed and validated a predictive analytics application for workers at one of the world's largest copper mines.
I identified key personas and unmet user needs for a next-generation navigation application, leading to a safer and useful in-car navigation experience.
I'm currently exploring principal, staff, and director-level roles at companies building complex products. Open to strategic consulting roles as well. Reach out if your team is working on wicked problems where rapid and valid research needs to be wired into how you make decisions.
I used AI to help me create the content on this site. Did I write every word? No. Did I review, brainstorm, and iterate on the content with some AIs? Of course. Why wouldn't I? Web copy has a distinct rhythm and tone. It's punchy and effortlessly authoritative. That's not how I write. Or think. So of course I used AI for some of the site copy.
Our oldest kid tells me that I should've written all this myself without relying on the clankers. I get it. But I also like to work fast and ship. So I jammed on the content with Opus 4.6, had it build an easily-maintainable site, and stood up v1 within about 24 hours from the first prompt. It's a tool. One I found helpful.
Again, I get it. I understand that current AI offerings are just uncomprehending stochastic parrots that we grant a sometimes-concerning amount of agency. And data centers are the next socio-ecological disaster-in-progress. I feel like I'm making typical Gen-X excuses here, and maybe I am. But what am I gonna do? Not use AI? In this economy? You first. ;-)
I wrote that disclosure. And this sentence. And now I'm trying to avoid an infinite loop.