Framework
The Continuity Gap
The most valuable data in healthcare — and in most SaaS products — exists between appointments, not during them. Building for the gap is the actual product opportunity.
How it works
- 1Healthcare sees the people who are good at making appointments, not the people who actually need to be seen. Most SaaS products have the same problem: they only hear from engaged users.
- 2The gap between a patient visit and the next one is where all the signal lives: medication adherence, side effects, behavioral changes, early warning signs.
- 3An AI that checks in consistently gives you longitudinal data — not snapshots, but trends. A baseline deviation is far more informative than any single reading.
- 4The principle applies everywhere: medication management, employee burnout, customer health scores, post-onboarding drop-off. Behavior is the ultimate data set.
- 5The question for every founder: where does your product go dark on your user? That dark period is your product gap and your next feature.
Hear it on the podcast
The Behavioral Health Crisis Is a Data ProblemListen to the episodeMore from this episode
The Paying Problem FilterCool technology that no one will pay for is not a product. Before you fall in love with your insight, find the customer whose budget line it solves.Build for Signal, Not AssumptionWhen training models for human behavior, go in with as few assumptions as possible. Let the data surface the features. Your intuitions about what matters are often wrong.The Bias Audit TriadThree practices that prevent AI models from encoding discrimination: clean and representative data, demographic testing before launch, and continuous monitoring for drift.
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