Which statement is true about batch size?

Batch size is the size, measured in work product, of one completed unit of work. Cycle time is the amount of time it takes to complete one batch of work. What we focus on with lean development is reducing batch sizes, thereby reducing cycle times, thus increasing potential learning points over time1. The bigger a batch of work, the slower it flows through the system. We also have greater variability in the system because one big batch item may take 5 days to flow through the system whilst another big batch item may take 25 days to flow through the system. So that variability will impact the rate at which we can deliver value to customers2. Therefore, large batch sizes increase variability and reduce flow, which is contrary to the principles of lean development. References: Principle #6 – Visualize and limit WIP, reduce batch sizes, and manage queue lengths, Principle #6 - Make Value Flow Without Interruptions, What is the good batch size for large datasets?, Understanding Lean product development: Batch Size, Work in Process (WIP), Risk for Small Teams, SAFe Principle 6: Visualise and limit WIP, reduce batch sizes, and manage queued lengths