Behavior. Built.
Health technology has no shortage of innovation. What it lacks is follow-through.
I write about why products that promise better health so often fail to deliver it, and what it actually takes to design for sustained behavior change. My work sits at the intersection of behavioral science, product strategy, and real-world health outcomes, with a focus on the decisions leaders make long before a feature ships.
Here you’ll find essays that examine why engagement collapses, why incentives and AI underperform, and why designing for human behavior (not just technical feasibility) is the hardest problem in health tech. This is writing for people building, buying, and scaling health products who care less about hype and more about what actually works in practice.
If you’re interested in how systems shape behavior, how products earn trust over time, and how health tech can move from impressive pilots to durable outcomes, you’re in the right place.
Why behavior change—not technology—is the hardest problem in health tech
Health tech keeps building smarter tools for a problem it rarely designs for:
getting real people to change what they do when no one is watching.
We’ve poured billions into AI, data, sensors, and dashboards—yet engagement collapses, outcomes stagnate, and products that “work” in pilots quietly fail in real life.
The bottleneck isn’t technology.
It’s behavior change.
Most health products optimize for what can be built, not what people can realistically sustain. Behavior change gets treated as content, nudges, or motivation—when it’s actually architecture.
This essay unpacks why behavior change—not technology—is the hardest problem in health tech, and what leaders need to do differently if outcomes actually matter.