First run a pilot combining analytical recommendations with frontline review on '1–2 product lines × a small group of non-critical customers,' rather than repricing across the board. The core is to design it as an experiment that can be stopped, attributed, and reversed — not a contest to validate the algorithm.
Decision owner in the teaching simulationChief Commercial Officer in an independent teaching simulation
Human-controlled next action
This week, the CCO will work with the pricing office and regional sales leaders to define the pilot scope: explicitly designate 1–2 product lines and a list of 'non-critical, loss-tolerable' customers, with key accounts explicitly excluded in writing.
What would reverse the recommendation
If, before the pilot begins, the data team still cannot deliver a structured field for review rationale (U2 unresolved), and cannot establish a tracking mechanism that distinguishes price, service, and competitive causes of customer loss (U3, C2), the comparison pilot should not be launched. Instead, both foundational pieces should be prioritized and completed first — otherwise, no pilot result can be attributed or used as grounds for reversal or rollout.
Case theme illustration
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