A Proposed Mathematical Model for Wardley Maps — Part 4
Working Out the “Evolution” Value for a Single Component
A Proposed Mathematical Model for Wardley Maps — Part 4
Working Out the “Evolution” Value for a Single Component
Following on from Part 3, below is an explanation, how to identify the evolution and visibility for a single component.
1. Model Recap
We use the following formula for Evolution:
Where:
0 means extremely rare or unknown in the market. 1 means widely available, used everywhere.
0 means highly uncertain, no stable best practices, “frontier” territory. 1 means fully standardised, best practices well understood.
Thus, Evolution is the average of two key factors: ubiquity and certainty.
2. Example: “AI-Enhanced Kettle”
Let’s say you have an AI-Enhanced Kettle that uses humidity sensors and AI to adjust the boil temperature. You want to place it on your Wardley Map.
2.1. Ubiquity
It’s only in a few speciality stores, so it’s not widespread.
You might assign
= 0.2.
2.2. Certainty
There are no clear industry standards for AI-based kettle features; it’s new.
You might assign
= 0.3.
2.3. Compute Evolution
Using
we have:
Hence, Evolution = 0.25.
3. Interpretation
A value of 0.25 indicates your kettle is still far left on the “Genesis → Commodity” continuum.
Low ubiquity = not common in stores or homes yet. Low/moderate certainty = no well-established best practices or standards.
Therefore, it resides in a custom / emerging zone, not yet a stable or widely adopted product.
4. Changing Over Time
If market adoption increases (ubiquity ↗) and standardisation (certainty ↗) solidifies, the AI-Kettle’s evolution moves rightward:
Suppose after 2 years, you measure:
Then:
positioning it closer to a product / commodity status.
5. Summary
Determine
Determine
Calculate
The result
defines how far along your component is on the “Genesis → Commodity” scale, providing a clear horizontal coordinate on your Wardley Map.
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