Your question is Continuous Improvement Feedback Loop. 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).
How would you design a feedback loop to continuously improve model performance based on user interactions at RBC?
Discuss how interactions become reliable training data, how models are retrained and deployed, and how you would measure improvement without creating harmful feedback loops. Cover online and batch components, monitoring, experimentation, privacy, and rollback. State any scale assumptions you need rather than treating them as known RBC facts.