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Is there an easy way to track what % of tickets were moved from one status to another?

I'd like to track what percent of tickets were moved from one status (eg, "In QA") back to another status ("Development Backlog").  I'd also like to see a count for how many tickets were moved more than one time to the "Development Backlog" from "In QA".  Any suggestions?

4 answers

2 accepted

Hello @Peggy Haga 

You can try Time in Status for Jira Cloud. This add-on generates a Transition Count report(that shows how much time an issue has been moving to each status): for example to "Development Backlog" from "In QA". 

To get data by the chosen statuses, choose a "Transition count" report and filter by JQL. Then export report in the necessary format and count %.

2021-02-11_9-45-23.png

I hope, you find it helpful.

Best regards, Mariana

0 votes
Answer accepted

Hello @Peggy Haga ,

Our team at OBSS built Time in Status app for this exact need and more. It is available for Jira Server, Cloud and Data Center.

Time in Status mainly allows you to see how much time each issue spent on each status or assigned to each assignee but it also has reports showing how many times each status and each transition was used.

TransitionCount.png  StatusCount.png

You can also calculate averages and sums of those counts grouped by issue fields you select. (For example see the average reopen count per issuetype or per component, etc).

The app calculates its reports using already existing Jira issue histories so when you install the app, you don't need to add anything to your issue workflows and you can get reports on your past issues as well.

Using Time in Status you can:

  • See how much time each issue spent on each status, assignee, user group and also see dates of status transitions.
  • Calculate averages and sums of those durations grouped by issue fields you select. (For example see average InProgress time per project and per issuetype.)
  • Export your data as XLS, XLSX or CSV.
  • Access data via REST API. (for integrations)
  • Visualize data with various chart types.
  • See Time in Status reports on Jira Dashboard gadgets (released for cloud, server&DC gadget coming soon)

https://marketplace.atlassian.com/1211756

EmreT

Hi @Peggy Haga 

To view what percent of tickets moved from one status to another, you could perform a filter with the following JQL:

project = XXX AND status changed from "In QA" to "Development Backlog" during (2021-01-01, 2021-02-06)

Later, in a dashboard you could include the Pie Chart gadget associating the previous filter to show the percentages.

To count how many tickets have been moved more than once from the "In QA" status to the "Development Backlog" status, you can:

  • Create a Number customfield ("Counter")
  • Include an automation rule in which you increment the value of the counter field by 1 each time the Issue goes from one status to another, for example:

 

Automation Incremental Number field.PNG
Then, you can create a filter similar to this one in which it shows you those Issues in which the counter field is> = than 2:

project = XXX AND "Counterfield [Number]" >= "2"

I don't know if it works as an idea, but I hope it helps you.

Greetings.

Hi @Peggy Haga ,

As an alternative, you can try Status Time app developed by our team. It provides reports on how much time passed in each status as well as status entry dates and status transition count. Report can be exported as CSV, so that you can use external tools like Microsoft Excel or Google Spreadsheet to process the exported data.

Once you enter your working calendar into the app, it takes your working schedule into account too. That is, "In Progress" time of an issue opened on Friday at 5 PM and closed on Monday at 9 AM, will be a few hours rather than 3 days. It has various other reports like assignee time, status entry dates, average/sum reports(eg. average in progress time per project).

Here is the online demo link, you can see it in action and try.

If you are looking for a free solution, you can try the limited version Status Time Free. Hope it helps.

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