Which of the following is a recommended step in the right sizing process?

Compiling data from existing haulers is a crucial step in the right sizing process. This approach allows for a comprehensive understanding of current waste collection patterns, service frequency, and volume. By analyzing this data, organizations can make informed decisions about their waste management needs, ensuring that they are neither overpaying for unnecessary services nor under-resourced for effective waste management.

This data-driven method ensures that any adjustments made in terms of waste collection services are based on actual usage and needs, fostering a more efficient waste management system. By accurately gauging the amount of waste generated, organizations can align their collection services with their actual demands, ultimately leading to cost savings and improved sustainability practices.

In contrast, the other options do not support effective right sizing. Training staff without collecting data does not provide the necessary foundation for understanding waste generation and management. Ignoring local recycling service options disregards available resources and can lead to inefficiencies. Eliminating all food waste collection removes a valuable opportunity for composting and recycling, further hindering effective waste reduction strategies.