This page relates to an older version 1.2 of Rich Filters::Service Desk Dashboards. See the documentation index for other versions.
Rich Filters::Service Desk Dashboards is an extension of the Rich Filters for Jira Dashboards app. This extension adds functionality specific to Jira Service Desk on top of the existing rich filters. If you are not already familiar with the rich filters, you should first have a look at the Rich Filters for Jira Dashboards documentation.
This page extends The Rich Filter Two Dimensional Statistics Gadget page from the Rich Filters for Jira Dashboards documentation. If you're not sure how the Rich Filter Two Dimensional Statistics gadget works, you should check that page first.
Rich Filters::Service Desk Dashboards provides new options for the Rich Filter Two Dimensional Statistic gadget:
- display statistics based on Service Desk fields – Customer Request Type and Organizations
- display statistics based on the completion date of any Service Desk SLA field
- compute values based on Service Desk SLA fields
In order to configure these new features, the gadget provides new setting options:
|Setting||New options – description|
The users can select three new options:
The difference between Customer Request Type and Customer Request Type (by project) is that the latter also splits the issues by project and displays the icons of the request types. The former merges together the request types with the same name but from different projects.
The users can select SLA fields in order to display statistics based on the completion date of the SLA field.
The statistic type list contains all the SLA fields. Each SLA option behaves like a date field representing the completion date of the last SLA cycle. The statistic will contain only the issues which have their SLA completed.
New values based on the Service Desk SLA fields are available. For each SLA field, the available options are:
In all the cases, only the issues with the SLA completed are taken into account and only the last cycle is included in any computation.