Six months after a client turned on predictive opportunity scoring, sales leadership adds a new mandatory technical-validation stage to the sales process and retires an older stage that used to sit between qualification and proposal. A consultant reviewing the model afterward finds that scores for opportunities in the new stage look inconsistent with reps' own assessment of deal health. What should the consultant recommend?
Select an answer to reveal the explanation.
Short Explanation
A predictive model learns its instincts from a specific version of the sales process, so when the process itself gets restructured, like adding a whole new validation step, the model is still reasoning as if that step does not exist. That is why the scores start feeling off to reps who know the deal firsthand. The fix is not to throw the whole capability away, since it still works fine everywhere the process did not change, and it is not to shrug and assume the model was never meant to track process changes, because matching current reality is the entire point of keeping it trained. Telling reps to just override the number by hand for a while patches the symptom for a handful of deals but leaves the same stale assumptions quietly steering every other opportunity moving through that new stage. The real answer is updating what the model learns from so its signals catch up to how the team actually sells now.
Full Explanation
The correct answer is D. Predictive scoring learns patterns from historical opportunity data tied to the stages that existed when it was trained, so when the stage structure itself changes, the model needs to be retrained or recalibrated on data that reflects the new process before its output for the new stage can be trusted again. Option A is incorrect because a process change is a solvable data problem, not a reason to abandon the capability entirely; permanently disabling it discards a tool that works fine for stages that did not change. Option B is incorrect because it treats a one-time training event as permanent, when in reality the model's usefulness depends on its training data continuing to match the current sales process; a stage restructuring is exactly the kind of change that requires updating it. Option C is incorrect because manual overrides are a stopgap that masks the underlying misalignment rather than fixing it, and waiting until the next quarterly review delays a correction that affects every opportunity moving through the new stage in the meantime, not just the ones reps happen to notice.