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