SAFE-SPC · Question #61
(Select 2) What are the 2 biggest reasons to reduce batch size?
The correct answer is C. Increase throughput. E. Increase delivery reliability. Reducing batch size is a foundational lean/agile principle, and throughput (C) and delivery reliability (E) are the two primary payoffs. Smaller batches reduce work-in-progress (WIP), which shrinks queue times and allows work to flow through the system faster - directly…
Question
(Select 2) What are the 2 biggest reasons to reduce batch size?
Options
- AMake it easier to assess the state of smaller batches.
- BDecrease stress on the system.
- CIncrease throughput.
- DProduce less measurement overhead.
- EIncrease delivery reliability.
How the community answered
(55 responses)- A2% (1)
- B7% (4)
- C89% (49)
- D2% (1)
Explanation
Reducing batch size is a foundational lean/agile principle, and throughput (C) and delivery reliability (E) are the two primary payoffs. Smaller batches reduce work-in-progress (WIP), which shrinks queue times and allows work to flow through the system faster - directly increasing throughput. They also make individual units of work more predictable and consistent in size, so delivery timelines become more stable and reliable.
The distractors are plausible but secondary or outright incorrect:
- A (easier assessment) is a minor side effect, not a driver - you'd reduce batch size for flow, not visibility.
- B (decrease stress) is vague and arguably backwards - more frequent small batches can increase transaction overhead.
- D (less measurement overhead) is wrong - smaller batches typically increase the frequency of measurements, not reduce them.
Memory tip: Think "FASTER and CONSISTENT" - smaller batches make work move faster (throughput) and consistently (reliability). Everything else is noise.
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