Monitor input, that is, predictors, and output of your models and predictions to observe whether they behave as you expect.

Models use predictors, such as age, income, location, or current product subscriptions, to predict customer responses or case outcomes. The output is the data that model generate, including propensities, numeric output for continuous models, and symbolic output (labels) for binary and categorical models.

Monitoring predictors and output can provide useful insights about the performance of your predictions and models. It helps in the early stages of model development, before you capture any responses. It also helps for certain model types that do not receive responses regularly or at all, such as predictive models.