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Chapter 7: Finding a New Purpose
Core Focus
Validating the evolution axis of Wardley Maps through research, and discovering that evolution can be measured (but not time-predicted).
Purpose Requirements
Meaningful purpose requires three elements:
- Clear objective
- Defined scope
- Moral imperative
The Evolution Breakthrough
Initial assumptions proved wrong: evolution doesn't correlate with adoption percentages or time. "When 10% adopt something, it becomes a product" doesn't hold across technologies.
The Discovery
Analyzing thousands of publications revealed predictable language pattern shifts:
- Articles progress: "wonder" -> construction -> operation/features -> everyday use
- This linguistic evolution indicates increasing certainty about an activity
- Activities evolve through multiple diffusion waves of improving versions, not single S-curves
Evolution Curve: Ubiquity vs. Certainty
Rather than time or adoption %, evolution tracks how widespread AND certain an activity becomes:
- Genesis -> Custom-built -> Product -> Commodity -> Utility
Diffusion vs. Evolution
Critical distinction:
- Diffusion: adoption of specific innovations over time
- Evolution: changing nature of an activity across multiple improving versions
Activities don't follow predictable timelines but follow predictable paths.
Supply vs. Demand Competition
Two forces drive evolution:
- Demand: useful activities spread (ubiquity driver)
- Supply: providers improve activities (certainty driver)
Chain of Needs
Maps extend beyond single organizations, connecting supplier needs -> user needs -> end-consumer needs. Misalignment between these creates conflict.
Key Insight
Many "innovations" are predictable consequences of evolution, not accidents. Amazon EC2 wasn't a surprise - utility computing was inevitable once computing became sufficiently certain and widespread.
Key Takeaways
- Evolution is measurable but not time-predictable - you know what will happen, not when
- Understanding landscape context prevents strategic mismatch
- Activities follow consistent evolutionary paths regardless of time or adoption rates
- Maps are useful models, not reality - windows on wider systems
- Revenue should flow from meeting user needs, not extracting value