Your question is Assess Model Probability Calibration. 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 classifier that outputs probabilities, and stakeholders want to know whether those scores can be trusted for decision-making. The model may rank examples well, but the question is whether a predicted 0.8 really means about an 80% chance of the event.
How would you assess whether a model is well-calibrated?