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YME uses Jira mostly for IT work. As such, you can see that most projects relate to specific applications, for example for B2B or B2C.
Three projects are different, and relate to the future YME way of working:
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- As such, we see an active sprint with items in it (centre screen).
- These items are organised into larger topics called Epics (left screen list, but also the coloured labels on centre screen items).
- When one item is clicked, the details are shown (right screen sidebar).
Kanban board
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- Here we see no epic list on the left.
- In the centre we see all items progress through a workflow, with columns turning red if there are too many items in it.
- When clicking one of the item cards, the details are shown on the right hand side.
Issues
At the top of both Scrum and Kanban screens we see a big red "Create" button, which allows us to add new items. When doing so, the correct project and issue-type needs to be chosen.
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These are the most often used ones, though available issue-types will differ per project.
The easiest way to look at issues is on a team board, but it's also possible to Search or use Dashboards.
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To search, choose "Issues" in the top menu, and then "Search for issues":
The basic search allows you to choose values, filtering down until you see the data you want. If you want to add more criteria, click the "more" button and add a field to filter on.
By saving the search, you create a Filter that can be used as basis for a Team Board or Dashboard.
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The "advanced" search allows more features, but requires understanding of simple queries. Jira offers search help to build these queries.
You can choose which details are shown about the results, by choosing the Columns that should be displayed.
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If you are not part of a development team, but wish to understand more about how tickets are processed or other processes, it's possible to build a custom Dashboard that shows you all you require.
Dashboards can collect visualisations of filtered data onto one page, letting you interpret data at a glance, or click on details to uncover the underlying data.
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