What do hard rules typically determine?

Hard rules are structured conditions that directly outline specific criteria or constraints that must be met in order to take action within a Pega decisioning framework. They provide definitive guidelines for decision-making processes, ensuring that only those who meet established criteria are considered for certain outcomes.

In the context of the options provided, a hard rule determining customer eligibility for specific products aligns perfectly with its characteristic function. These rules will assess whether a customer meets the necessary requirements—such as age, credit score, or account status—before allowing access to certain products. This deterministic nature of hard rules ensures that they uphold qualification standards that are non-negotiable.

In contrast, the other options involve aspects of decision-making that are typically influenced by probabilistic or analytical approaches rather than strict conditions. For example, proposition relevance pertains to assessing how relevant a product offer is to a customer based on their profile or behavior, which might consider various data points and insights rather than a fixed rule. Prioritization of product offers is often driven by complex algorithms that analyze data and model predictions rather than being solely based on hard and fast rules. Similarly, the application of adaptive models focuses on learning from data to improve recommendations over time, relying on data-driven insights rather than hard criteria.