My Story
I’ve spent over two decades designing, delivering, and scaling learning across industries where performance actually matters. Healthcare, technology, retail, service, and operations have all shaped my work, but the common thread has always been the same: people are asked to make decisions under imperfect conditions, and learning only matters if it improves those decisions. To that end, I developed my personal learning manifesto titled Evidence-Bound Learning Design, a disciplined approach that permits training only when capability is the true constraint and requires evidence of impact by design.
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Early in my career, I focused on delivery. Teaching. Training. Helping people getup to speed. Over time, the work expanded. I began building programs, then departments, then systems. I became responsible not just for what
people learned, but for how quickly they could perform, how consistently they could apply judgment, and how reliably learning translated into measurable outcomes, not just anecdotal evidence.
That shift changed how I think about instructional design.
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​​​​​​​I don’t start with content anymore. I start with performance. I look for where decisions break down, where assumptions fail, where small errors compound, and where systems quietly encourage the wrong behaviors. Only then do I decide whether learning is the right lever, and if it is, what kind of learning is appropriate.
Most real-world performance moments are short. They’re contextual. They’re constrained by time, environment, incomplete information, and human habits. That reality is why my work favors short, decision-driven learning experiences over long-form instruction or information-heavy courses.
Memorization rarely changes behavior. Consequences do.
The projects in my portfolio reflect that belief. Each experience is intentionally brief, under five minutes, and designed around judgment, timing, and tradeoffs rather than recall. Light simulation is used not for spectacle, but to surface cause and effect. Constraints aren’t treated as limitations, but as design inputs.
Alongside my applied work, I write extensively about instructional design, learning systems, and performance-focused practice. My books and frameworks exist because the work demanded clearer language, shared models, and tools that could scale beyond individual projects. Writing’s become a way to test ideas, refine thinking, and make design logic explicit so it can be applied by others.
Despite that systems-level focus, I remain hands-on by choice. I design, build, test, and iterate. I believe credibility in learning design comes from understanding both strategy and execution, and from knowing when to simplify rather than overbuild.
What ultimately guides my work is a simple question: does this help someone make a better decision when it counts?
If you’re looking for someone who can diagnose performance problems, design appropriately scoped learning solutions, and execute with intent and restraint, that’s where I do my best work.
My Career
My career has moved through many companies and roles, from hands-on front-line training to building and leading learning departments. The environments changed, but the focus didn’t: training that improves real-world performance.
