# Chapter 3: Exploring the Map ## Core Focus Applying climatic patterns - universal business dynamics - to Wardley Maps to anticipate change and improve strategic decisions. ## Climatic Patterns ### 1. Everything Evolves Components move left-to-right due to supply-demand competition. All activities, practices, and mental models progress from novel to commonplace. ### 2. Characteristics Change As components evolve, properties shift predictably: - **Uncharted**: rare, poorly understood, unpredictable, high uncertainty, potential competitive advantage - **Industrialised**: commonplace, well-defined, standardised, predictable, cost of doing business ### 3. No One Size Fits All Different evolutionary stages require different management: - **Genesis/Uncharted**: Agile (exploration, experimentation) - **Transitional/Product**: Lean (efficiency, measurement, MVP) - **Industrialised**: Six Sigma / ITIL (deviation reduction, standardization) Single-methodology organizations fail because components occupy different stages simultaneously. ### 4. Efficiency Enables Innovation Industrialised components become building blocks for higher-order systems. "Genesis begets evolution begets genesis." ### 5. Higher-Order Systems Create New Worth Commodification (social-to-economic value) differs from commoditisation (differentiated-to-undifferentiated). Transitional domains generate highest profitability. But industrialised components enable unpredictable future opportunities. ### 6. No Choice on Evolution (Red Queen Hypothesis) Competitors adapting to evolved components force others to follow. Stagnation becomes unviable. ### 7. Past Success Breeds Inertia Existing suppliers resist evolution because transitional domains deliver maximum profitability. Amazon - unencumbered by legacy models - industrialised computing while established vendors resisted. ## Key Insight Amazon dominated cloud not through superior engineering but because they had no legacy business model creating inertia. Pat Gelsinger dismissed Amazon as "a company that sells books" - precisely why Amazon could disrupt. ## Application Using these patterns on a map enables: - Anticipating which components will commoditize - Predicting resistance to change (inertia) - Identifying platform evolution trajectories - Spotting opportunities from compound evolution - Making assumptions visible for collaborative discussion ## Key Takeaways 1. Maps enable pattern recognition for strategic foresight 2. Evolution is inevitable but uneven across components 3. Industrialization paradox: reduces near-term advantage while enabling unpredictable future value 4. Organizational adaptation is competitive necessity 5. Visible assumptions on maps beat assumptions locked in minds