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Vision first.

Effective working relationships are built through a cohesive shared vision. By aligning on long-term strategy, we can build consensus on tactics and get things done more quickly and effectively—and it feels like we can win.

Everything interesting comes from cross-disciplinary collaboration.

Complex problems are best solved by people with different orientations. Data, design, and engineering are three different ways of articulating what a product is, each from a different perspective and specialized knowledge of particular constraints. If marketing thinks there’s an obvious solution that engineering doesn't want to work on, there’s usually something that one of them doesn’t understand—whether it’s how the database is structured, or what the marketing team is actually asking for. Without trust and an approach of curiosity, recognizing this is impossible.

The user is looking at this thing while they’re driving a car.

Drunk. An academic background in psychology grounds me in both quantitative and qualitative research methodologies to deeply understand what users want and need. If it isn’t easy to use, it won’t be used.

Less talking, more doing.

Being a generalist in the intersection between design, data, and technology allows me the flexibility to step in wherever there are bottlenecks in the process—whether that’s writing production code, designing full apps, diving into analytics and running A/B tests, writing copy for a marketing page, or creating a project management system.

The future comes at us fast.

We need frameworks that let us move with it. Solutions must be built through a dynamic process of hypothesis-driven experimentation, where each hypothesis targets measurable indicators for revenue, experience, or other goals. We need to learn as much as we can, as quickly as possible. Otherwise, we'll be stuck living in the past.

I’m not a big believer in process that's followed for the sake of itself. Instead, I tackle problems with the general set of principles that guides all the work I do.


Through qualitative and quantitative research, lean into the ambiguity to learn about the problem and its context to really understand the core tensions. Without an openness to being wrong, an admittance of any kernel of bias, and deep-seated curiosity, this is impossible.


By arranging all of the facts into a single core narrative, it’s possible to see the question in its context. From there, we can create measurable objectives that transform abstract ambiguity into concrete experiments that will validate or refute this hypothesis.


Through well-prioritized rapid experimentation, products can be built and iterated upon thoughtfully and strategically. Depending on context, a thoughtful solution may not be as important as a quick, practical, and cheap one.


Assessing success and failure over beers (and snacks) builds solidarity such that this process can be repeated to infinitum. At least until the users transcend the material plane & we're all billionaires. ¯\_(ツ)_/¯