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Platform value modeling

As explained in Effective Platform Engineering

Platform value modeling is the practice of estimating and evaluating the costs, benefits, and outcomes of platform capabilities.

Platform value modeling estimates and evaluates the costs, benefits, adoption, and outcomes of platform capabilities so investments can be prioritized against measurable value. section 3.2.2

Use a six-step value-modeling loop:

  • Identify inefficiencies and potential improvements. section 3.2.2
  • Calculate the current cost of the inefficiency. section 3.2.2
  • Simulate potential return on investment through increased throughput or reduced cost. section 3.2.2
  • Secure investment using the projected return. section 3.2.2
  • Compare actual results with projections. section 3.2.2
  • Adjust investments according to delivered value. section 3.2.2

Self-service replacement

A manual process consumes one full-time person and wastes 1,000 developer hours per quarter. Replacing it with self-service requires measuring orientation time, automation completion time, and resulting value. section 3.2.2

Figure 3.5 Components of value modeling process. These are both subjective and objective measurements that a technical product owner should identify by working with stakeholders and engineers, which will be used to show platform value.
A screenshot of a computer screen

AI-generated content may be incorrect.

Use the value-modeling components to combine stakeholder-defined business context with subjective and objective measurements. section 3.2.2

How Effective Platform Engineering covers it

How deep it goes
Defines a six-step measurement loop and identifies business, product, subjective, and objective inputs without detailing full calculation methods.
Examples
Uses a manual process replaced by self-service and a standardized container orchestration platform targeting 90% team adoption.
What it assumes
Requires business context and stakeholder collaboration to define goals, costs, adoption, and expected outcomes.
What you can do after
Evaluate platform investments, compare actual results with projections, and adjust investments based on delivered value.
How it connects
Connects platform capabilities with ROI, adoption, cognitive load, self-service, and operational metrics.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Platform Engineering. The section links point to the parts of the book it draws on.