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Comment on When efficiency hurts more than it helps (2015)

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You can think of a team as a queueing system. Tasks arrive in your queue at random intervals, and they take unpredictable amounts of time to complete. Each member of the team is a processor, and when everybody’s working as hard as they can, the system is at 100% capacity.

Don't teams often have shared queues though (tickets, etc.)? Rather than queued work being pre-assigned to each person?

Depends on level of specialisation, but yes. The problem is the same, though: the only way to guarantee 100 % utilisation is to have a long queue of things waiting to be done so nobody runs out of work. But a long queue also means high latency.

In order to reduce latency, you have to have a short queue, which means people will run out of work sometimes and be idle.

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