Technical leaders who communicate engineering economics well translate technical decisions into cost curves before presenting them. They do not present the streaming infrastructure investment as “better architecture” — they present it as “current cost at 1x data volume, projected cost at 2x, projected cost with streaming at 2x, breakeven at month nine given projected growth.”
They maintain a cost model for the engineering organisation’s most significant infrastructure investments — not a spreadsheet of every cloud resource, but a model that makes visible how costs scale with product growth. A cost model that cannot explain a 3x cost increase when data volume doubled is a model that has missed a scaling assumption.
The best technical leaders use cost of delay explicitly when prioritising engineering investments. The question is not “which of these projects is most technically interesting?” or “which has been on the backlog longest?” — it is “which of these has the highest cost of delay?” The cost of delay calculation is imperfect but directional: it consistently surfaces the investments that are costing the business most per week by not being done.