Product Philosophy
Research-grade essays for practitioners who distrust easy answers. No hand-waving. No buzzwords. Just the machinery beneath the surface.
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'You'll know product-market fit when you feel it' is advice that has burned through billions in venture capital. Here's a quantitative framework that replaces gut feeling with a composite score — and it starts with retention curves, not surveys.
How cognitive biases, prospect theory, and decision architecture shape product adoption, pricing perception, and user behavior at scale.
The microeconomics of platforms, network effects, data moats, and winner-take-most dynamics in software and marketplace businesses.
Causal inference, econometric attribution, incrementality testing, and the measurement architectures that separate marketing science from guesswork.
Survival analysis, Bayesian experimentation, cohort economics, and the statistical infrastructure that turns raw data into decisions worth acting on.
Recommendation systems, dynamic pricing algorithms, demand forecasting, and the machine learning infrastructure behind modern commerce.
Mental availability, category entry points, brand-performance allocation, and the quantitative frameworks behind durable competitive positioning.