Habit Machine: AI Product Management: Who It's For and Who Sponsors It

Est. audience: 100
Apple rating: 5 from 1
Cadence: Weekly
Latest: 2026-11-02
By: Vladimir Dyachkov PhD
Based on: 12 recent episodes

Covers: AI-era product management, validation loops, behavioral product design, agile execution, and evidence-driven decision making.
For: Product managers, product leaders, and tech founders building AI and software products.
Best for: Product managers wanting to integrate AI and behavioral science into product development.
Skip if: Non-technical consumers or people outside of software product development.

Start with

The Pre-Launch Risk Diagnostic: 6 Patterns That Activate The Launch Kill Switch — Deep Dive Episode 37: Identifies six deadly patterns that cause product failure immediately following launch.
How to Apply The AI Multiplier: From Signal to Product Action Without Losing Your Compass — Deep Dive Episode 36: Explains five practical layers where AI helps product teams turn data into decisions.
How to Build an Evidence-Driven Team: The AI Multiplier Playbook — Deep Dive Episode 34: Provides a blueprint for assembling product teams that use AI and data over intuition.

Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.