Mean cycle time
Also known as Average cycle time, Average flow time
Definition
Mean cycle time is calculated by adding the cycle times in a selected population and dividing by the number of items. It can summarize a dataset, but a few long-running items may pull it away from what most work experiences.
One number with a long-tail problem
The mean is easy to calculate and useful for some capacity models. It is sensitive to unusually long cycles, however. If most items finish quickly while a few wait weeks, the average may describe no actual item in the system.
A concrete example
Suppose five illustrative changes take 2, 3, 3, 4, and 18 days. Their mean cycle time is 6 days, while four of five finish in four days or less. Looking only at six days would hide the long-running change that deserves investigation.
Use it with the distribution
Report the item count, time window, exclusions, and workflow boundaries. Compare the mean with a median and high percentile, then inspect the tail. If the work mix changes, segment before interpreting a trend.
Limitations
Mean cycle time is not a service guarantee and does not reveal causation. It can fall when difficult work is excluded or when items are split. Keep the calculation stable and pair it with examples.
How this relates to Weave
Weave can help teams inspect the changes behind a cycle-time average and compare the result with its distribution. Use the measured workflow boundaries from the source system and avoid treating an average as a target for individual contributors.
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