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Would you like to learn in detail what Jira cycle time and lead time are? You can use these Jira metrics to assess your team's productivity and gain relevant insights.
Understanding how well a team is working in addressing client requests and achieving its goals requires measuring productivity. The team can operate at its peak potential, doing what might be deemed normal, or falling short of its potential. In either situation, you should watch the team's output, examine and comprehend the dynamics, and take the appropriate steps. It is crucial to pick the proper metrics and base your analytic efforts on them to quantify productivity.
Jira Cycle time is how long it takes a team to work on the issue from the beginning to solve it. In other words, cycle time begins when the issue moves from "In Progress" and ends when it moves to the “Done” status. The question "Does cycle time include waiting time?" is frequently posed. The response is "Yes." After starting to work on the issue, the team might need to wait for the completed configuration, resolving issues, data creation, etc., before continuing. This wait time is accounted for in the cycle time because it is used up while the issue is "In Progress."
On the other side, Jira lead time is the time from issue creation to resolution. In other words, lead time begins when an issue is added to the Backlog in the "New" status and ends when it is changed to the "Done" status. It may take time for the team to pick up an issue once it has been requested and begin working on it. There could be several causes for this. The team might be unable to start working on the new issue because of some problems etc. If you’re asking whether a lead time includes the “waiting in the Backlog“ time, the answer is “Yes”.
The main goals of businesses are to reduce the Jira cycle and lead time. The most crucial question is, "How can cycle and lead time to be measured effectively?" One of the Jira built-in solutions is Control Chart.
The Cycle or Lead time for your product, version, or sprint is displayed on the Control Chart. It tracks the time each issue spends in a specific status during a particular period. There are two sorts of Jira issues: those that are fixed and those that are solved without a code change (invalid, duplicate, will not fix, etc.). The average can be significantly reduced by taking these problems into account. You can use the JQL shown below to filter them out simply:
resolved = "Fixed"
If you're looking for additional insights while measuring your team productivity, you can try Time in Status for Jira Cloud developed by the SaaSJet team. It has flexible features and more abilities because of its 7 types of Jira reports and Pivots functionality. Its primary function is to generate Jira status reports and help to improve team efficiency. Let’s learn in detail which valuable features you can use in the add-on to get a few Jira Cycle and Lead time reports.
It helps to calculate each issue's cycle time in a few seconds.
This report is especially helpful when you need to identify who is responsible for some delays in the Jira workflow process. You just need to exclude statuses that do not refer to the Cycle time from the calculation and get the pivot table with results.
It's a special feature that helps to choose only the month when the issues have been created and calculate data per this period.
If you need to track Jira Cycle or Lead time only for a particular week or sprint, all you need is to filter issues by Sprint or choose the necessary week as a date range.
As you can see, getting Cycle and Lead time for Jira issues is a speedy and easy process. If you choose the proper add-on, which will simplify it even more, you’ll be delighted with the results! There are lots of add-ons with various functionality on the Atlassian Marketplace. So to save time, we have presented Time in Status for Jira Cloud. There is no need to worry about security or data presentation. Everything about the add-on you can discover in its documentation.
Try to measure your team productivity with Time in Status for Jira Cloud.
Karyna Tyrnavska _SaaSJet