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Engineering leadership for the agentic age

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Measuring agentic impact

Measuring agentic impact is tracking whether AI adoption is actually changing delivery outcomes, cycle time, defect rate, review load, not just usage counts like seats or prompts sent. A credible measurement approach ties agent usage to the same metrics the team tracked before adoption, so the comparison holds.

Last reviewed Draft, pending editorial review

Common questions

What is the single most useful metric to start with?

Cycle time on comparable ticket types, before and after, because it is the metric leaders already track and the one hardest to game.

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