Problem
Scenario
You've shipped a model that looked strong in offline training and validation, but it is underperforming in production. The team wants you to figure out why the offline results did not carry over.
Question
How do you debug a model that looks good offline but fails in production?
Observed Signals
Production AUC-ROC·0.74Validation AUC-ROC·0.92Offline recall @ 0.42·0.76Offline precision @ 0.42·0.81Production recall @ 0.42·0.41Production precision @ 0.42·0.52
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