Pilot Metrics That Matter
Recall the metric types needed to judge an AI pilot: outcome, quality, adoption behavior, risk, and learning.
Vanity vs decision metric Which metric helps a scale decision? Usage can support the story, but outcome plus guardrail drives the decision. What is an AI pilot outcome metric? The work result the pilot is meant to improve, such as cycle time, rework rate, coverage, first-contact resolution, or decision preparation time. It should connect to the job-to-be-done, not the model feature. What is a quality guardrail? A minimum acceptable standard that prevents speed from being mistaken for success, such as reviewer confidence, correction rate, CSAT, or error severity. A pilot that violates a guardrail should revise before scale. Usage pressure…
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