Welcome to your interview.
The question is on your right: Diagnose and Improve Underperforming Model. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You've shipped a machine learning model that looked acceptable during development, but it is now underperforming relative to expectations. The team wants a structured way to diagnose whether the issue comes from data quality, evaluation setup, model fit, or decision threshold choices.
If a machine learning model is underperforming, what steps would you take to diagnose and improve it?