What must you select to generate a load-based schedule?

To generate a load-based schedule, selecting a short-term forecast is essential. A short-term forecast provides specific predictions about workload demands over a brief period, typically ranging from daily to weekly. This granularity is crucial because load-based scheduling relies on accurate forecasts to determine staffing needs based on anticipated call volumes, handling times, and other relevant factors in the near term.

By utilizing a short-term forecast, managers can adjust schedules dynamically to meet immediate operational demands, ensuring that adequate staffing levels are maintained to handle predicted workloads. This adaptability allows for more responsive scheduling, improving service levels and operational efficiency.

The other options do not provide the necessary specificity or immediacy required for load-based scheduling. Long-term forecasts offer insights that might be useful for broader strategic planning but are not detailed enough for day-to-day scheduling needs. A high-level overview lacks the granularity necessary for precise scheduling adjustments, while a detailed manual entry would be impractical and time-consuming, as it does not incorporate predictive analytics that a forecast provides.