Читать книгу Habit Machine. AI Product Management - Ар'лан ис'Дрекхэм - Страница 41

Product management has always been cross-disciplinary. The difference now is depth of execution across four core domains:

— Behavioral Design: Mapping cognitive load, habit loops, and switching costs so products feel inevitable, not optional.

— Systems Thinking: Understanding APIs, data flows, unit economics, and network effects so features don’t break adjacent workflows.

— Evidence-Driven Execution: Running experiments, reading cohort telemetry, and prioritizing by impact instead of internal volume.

— AI-Native Orchestration: Designing prompt flows, RAG trust layers, and multi-agent workflows instead of static interfaces.

You don’t need to be the deepest expert in every discipline. You need enough literacy to make high-quality trade-offs. The PM who understands SQL can query their own retention curves. The PM who grasps behavioral economics won’t design onboarding that violates Fogg’s model. The PM who can vibe-code tests hypotheses before engineering commits. Literacy compounds into leverage.