How can I create a filter using days in column?

The Greenhopper cards show how many days the card has been in its current column. I would like to create a filter that show all issues that have been in a column for more than 5 days. It seems this would be possible since the cards show the data I would need to calculate on.

The business reason behind this is to create a focused list for a weekly management meeting to review "exception" issues that might need some management attention. This would be easier than hovering over every card in a complex board with a large number of cards.

6 answers

1 accepted

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There does not appear to be a good way to accomplish this.

This should not be the accepted answer. Alexander Shocke gave a good answer below.

I would suggest using During though. If you use Not Changed DURING(-5d,now()) you select issues that have not left the column. Before will show anything that moved to WIP before that, even if it left the column and returned to WIP. 

JQL:

status = "In Progress" AND status changed to "In Progress" before "-5d" 

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There is one solution, but you have to define it for every column: 

JQL:

status = "In Progress" AND status changed to "In Progress" before "-5d" 

Oh, you can even do it generally for all columns:

 

status CHANGED BEFORE "-5d"

Status changed before -5d and not status changed after -5d

status = "In Progress" and not status changed during (-5, now())

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You might consider using the 'Updated Date' field to your advantage. See the screenshot below. Bear in mind that comments to issues change the updated date.

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+1 I need a daily standup meeting dashboard to quickly look and see who's on what during the sprint. I want to drive that discussion by showing any cards that are sitting in a column for more than some number of days. That data has to be in 

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+1 Agreed.  It would be super helpful to be able to setup a quick filter that showed tickets that have spent a long time in a column.  I like the dots along the bottom, but it's hard to quickly scroll through larger boards and see which are the aging ones. 

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@Dave Clay & @Brandon Gill have a look at my answer below (https://answers.atlassian.com/questions/144207/answers/46082054)

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