The rich filter two dimensional statistics gadget
Rich Filters::Service Management Dashboards is an extension of the Rich Filters for Jira Dashboards app. This extension adds functionality specific to Jira Service Management to the existing rich filters. Please check the Rich Filters for Jira Dashboards documentation before you proceed.
This page extends The Rich Filter Two Dimensional Statistics Gadget page from the Rich Filters for Jira Dashboards documentation.Â
Rich Filters::Service Management Dashboards provides new options for the Rich Filter Two Dimensional Statistic gadget:
display statistics based on Service Management fields – Customer Request Type and Organizations
display statistics based on the completion date of any Service Management SLA field
compute values based on Service Management SLA fields
display statistics on the Service Management Satisfaction field
To configure these new features, the gadget provides new setting options:Â
Setting | New options – description |
---|---|
Statistic Type | 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 the request types with the same name but from different projects. |
Statistic Type | The users can select SLA fields 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 statistics will contain only the issues that have their SLA completed. |
Values | New values based on the Service Management SLA fields are available. For each SLA field, the available options are:
In all the cases, only the issues with the SLA completed are considered, and only the last cycle is included in any computation. |
Values | The field Satisfaction and custom values based on satisfaction can be used as values. Users can display average, min or max values based on customer satisfaction. |