A sales operations lead is rolling out predictive opportunity scoring and wants to prevent reps and managers from treating the score as a mechanical override of judgment. The lead asks the consultant how the score should factor into forecast category decisions. What guidance should the consultant give?
Select an answer to reveal the explanation.
Short Explanation
The goal here is not to pick between trusting the model and trusting the rep; it is to make sure the score is one voice in the conversation, not the only one. A rep who knows the champion just got promoted, or that a competitor botched their last implementation, has context the model will never see, so the healthiest setup treats the score as a strong data point and asks the rep to explain themselves when their forecast call goes against it. Letting the system automatically flip the forecast category the moment a number crosses a line takes the human out of the loop entirely, which defeats the purpose. Telling managers to just ignore the score swings too far the other way and throws away a signal built from real closed-deal history. And hiding the number from the very people closest to the deal does not fix the underlying worry about blind mechanical reliance; it just makes the tool less useful for the people who would use it best.
Full Explanation
The correct answer is C. Predictive opportunity scoring is a decision-support signal, not a mechanical trigger, so the appropriate governance treats it as one input a rep weighs alongside firsthand context the model cannot see, such as a champion's private commitment or a competitor's recent misstep. Requiring documentation when a rep's forecast category diverges from the score keeps the score influential without letting it override judgment silently. Option A is incorrect because automating forecast category changes purely off a score threshold removes the rep from the decision entirely, the opposite of the balance the sales operations lead is asking for. Option B is incorrect because telling managers to disregard the score entirely discards a genuinely useful signal built from real pipeline history, overcorrecting against the risk of over-reliance rather than managing it. Option D is incorrect because hiding the score from reps, who are closest to the deal and best positioned to reconcile it with what they know, reduces the score's usefulness without solving the stated concern about mechanical override.