Which rule would you use to automatically advance a loan request to the correct user based on credit score?

The decision tree is the appropriate rule to use for automatically advancing a loan request to the correct user based on credit score because it allows for a structured evaluation of conditions that lead to various outcomes based on specific criteria.

In this scenario, each branch of the decision tree can represent different ranges of credit scores, and the corresponding actions based on those scores, such as assigning the loan request to different users or teams based on predetermined thresholds. Decision trees facilitate clear and logical pathways that are easy to follow and maintain, making them ideal for scenarios where complex decision-making is involved, particularly when there are multiple outcomes based on varying data inputs.

Other options may not be as suitable: a map value is better for looking up static values, a when rule evaluates boolean conditions and is more straightforward, and a decision table is typically used when there are multiple input combinations leading to distinct outputs but lacks the visual clarity of a decision tree for this specific scenario. Hence, the decision tree's ability to handle multiple decision points effectively makes it the best choice for this context.