What type of data fields can be used to define benefit group eligibility rules?

The correct choice is the type of data fields that effectively inform benefit group eligibility rules. Worker-related data fields encompass a variety of specific employee attributes such as job title, department, employment status, hours worked, and other criteria directly tied to the employee's role and situation within the organization. These fields allow for precise and personalized benefit eligibility configurations tailored to the needs and circumstances of different groups of workers.

By utilizing worker-related data, organizations can ensure that their benefits program is equitable and aligned with both employee needs and organizational goals. For example, full-time employees may have different eligibility compared to part-time employees, and these distinctions are clearly defined through worker-related data fields. This targeted approach facilitates the administration of benefits and helps ensure compliance with employment laws and internal policies.

In contrast, financial performance metrics may indicate the overall health of the organization but do not specify employee eligibility. Employee satisfaction surveys provide insights into how employees feel about their benefits but do not define rules governing eligibility. External industry trends can inform policies but do not offer specific data about individual employees necessary to determine benefit eligibility.