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From Columbia University alumni built in San Francisco

Nia: Hey Miles! I was just chatting with a friend who's building a Product Operations function from scratch at her healthcare AI startup. She's feeling a bit overwhelmed—there's so much to consider when you're starting with a blank slate.
Miles: Oh, that's such a critical role in healthcare tech specifically. Product Ops sits right at the intersection of clinical, operational, and technical teams. It's like building the connective tissue that makes everything work together.
Nia: Exactly! And what's fascinating is how different it looks in healthcare compared to other industries. I was reading that in healthcare AI specifically, Product Ops creates the infrastructure that enables teams to scale innovation while navigating all those regulatory hurdles.
Miles: Right, and without solid Product Ops, we see the same pattern repeatedly—pilots stall in isolation, teams struggle to scale success, and innovations fail to reach their full impact. It's especially challenging in healthcare where trust is paramount.
Nia: I'm curious, what would you say is the first step someone should take when building this function from scratch?
Miles: You know, contrary to what most people think, it's not about implementing complex tools or processes right away. The most successful Product Ops leaders start small and leverage existing tools. They focus on one area where they can demonstrate quick value—like aligning metrics to strategic priorities or improving roadmap visibility.
Nia: That makes so much sense. So instead of trying to build the perfect system from day one, you start with targeted improvements that show clear value. Let's break down the practical steps for building a Product Operations function in healthcare AI, starting with that foundation and moving toward a comprehensive roadmap.