1. Understand business context and objective for the ML model
  2. Check featurization and modelling are done correctly with no leakage
    • Inspect that suitable model architecture is used
  3. Inspect data and label distributions
    • Are there drifts?
    • How does it perform against random? (Check F1 score)
  4. Inspect data and label quality
  5. Inspect features used
  6. Inspect poor hyperparameter choice