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Average Time in Status
Cumulative Time in Status
How metric helps
Time in Status helps to find bottlenecks in the project via highlighting those statuses which consume unacceptable amount of time. For example, long time "In Testing" might be caused by a lack of QA engineers on a project. Further analysis of items in their statuses leads to understanding of root causes - and appropriate decisions how a process should be adjusted in order to eliminate inefficiencies.
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| Note |
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1 If an issue is put in the same status several times within the selected time period, time is summarized for several occurrences. 2 Only statuses from the "To Do" and "In Progress" buckets are included into the calculation, i.e. statuses of "Done" bucket are not counted - because a very last status in each workflow will consume all averages thus showing irrelevant statistics. |
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