What Makes a Product Worth Building?
Decide where to focus, what it will cost to maintain, and which other work you’re willing to defer.
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A collection of 6 posts
AI Made Building Cheap. It Made Judgment Expensive.
AI can produce dashboards in seconds. Healthcare data leaders still need a way to decide what deserves to be built and prove it creates value.
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Role Operating Systems: The Missing Layer Between Personal Productivity and Team Execution
Intelligence is getting cheaper. Coordination is not. Role Operating Systems close the gap between individual productivity and team execution.
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Data Governance for Healthcare Data Product Teams in the Age of GenAI, Analysis, and Agents
A practitioner's guide to governed objects, executable data contracts, stewardship that ships, and why catalogs won't save you in the agent era.
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The DPOS Kernel: Principles for the AI Era
Part 2 of 5: The 15 principles that form the foundation of the Data Product Operating System. Seven philosophical beliefs about how data products work differently, and eight strategic principles for making decisions.
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DPOS: The Operating System for Data Products in the AI Era
Your day looks like this: standup, sync, planning, review, requirements. Somewhere in there you're supposed to actually analyze data. The system was designed for software teams, not data teams. DPOS fixes that.
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