Your question is Choosing a Classifier Threshold. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You have a binary classifier that outputs probabilities, and the team needs a decision threshold for turning scores into actions. Different thresholds change precision and recall, so the right choice depends on the business cost of false positives and false negatives.
How do you choose an operating threshold for a classifier?