What problem does it solve?
This module trains product managers to build, test, and defend coherent product strategies by guiding them through Roger Martin's Playing to Win five-choice cascade using a realistic B2B case study. It closes the gap between theoretical frameworks and hands-on strategic decision making by forcing trade-off articulation, coherence testing, and competitor reverse-engineering.
Core Features & Use Cases
- Interactive, Socratic coaching: The AI acts as a mentor that asks for choices, pushes back with counter-arguments, and adapts difficulty based on learner responses.
- End-to-end cascade practice: Walk through Winning Aspiration, Where to Play, How to Win, Capabilities, and Management Systems, then run a live Coherence Test.
- Competitor reverse-engineering & assessment: Translate observable competitor moves into implied strategic choices and evaluate coherence and moats.
- Use Case: A Head of Product at a mid-market B2B SaaS practices turning a CEO revenue target into an actionable, coherent three-year strategy and a prioritized capability roadmap.
Quick Start
Begin the module by telling the AI: "Guide me through building a Playing to Win product strategy for a B2B SaaS called MindBridge and coach me on each cascade choice."