Critical evaluation of AI for product research and strategy

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The measure of product research success should be business outcomes, not output volume.

Much of the AI product/UX training available today is thinly veiled marketing tutorials or risky productivity hacks. This provides short-term gains, but devalues your work in the long run.

I help product leaders evolve their product design process with a deep understanding of the benefits and trade-offs of AI tools, based on academic research and rigorous real-world testing. By implementing better research practices, my clients have saved up to 8 figures in engineering costs per project.

The long-term winners in emerging tech adoption are the most critical thinkers.

I've spent my 15-plus-year career figuring out the most effective ways to leverage emerging technologies. A veteran of AI and HoloLens at Microsoft, as well as Disney's experimental media lab, I've developed product strategy for AI/ML products and tools ranging from intelligent agents and social robots, to computer vision and physical AI. My unique focus is on helping product leaders gather evidence for where AI provides measurable value, regardless of hype.

 
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I’m curating Rosenfeld Media’s 2025 Designing with AI conference. Register to attend!

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What you can expect from working with me

Human-centricity

I believe the best products and services, AI or otherwise, are built around human needs.

Evidence-based strategy

I believe both product strategy and our design processes should be formed through rigorous evaluation.

Physical-digital integration

I believe technology is gradually becoming more integrated into our physical environment, and we should account for it in product design.

Participatory methods

I believe everyone can (and should) understand research and incorporate it into their work.

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Recent blog posts

 

Want more strategic impact with your research?

Schedule a call with me to discuss your goals and what’s blocking you from getting there.

 
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