This page relates to an older version 1.2 of Rich Filters::Service Desk Dashboards. See the documentation index for other versions.
Extending the Time Series
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 Configuring Time Series page from the Rich Filters for Jira Dashboards documentation. If you're not sure how the time series work, you should check that page first.
Rich Filters::Service Desk Dashboards allows you to define time series based on Service Desk SLA fields. These time series can be displayed in the Rich Filter Time Series Chart and in the Rich Filter Statistics gadgets in order to see trends based on SLA values: Completed, Met, Breached, %Met, %Breached, or Average.
The time series based on SLA fields can be created, edited, deleted or reordered like any other time series. If you are not already familiar with these operations, have a look at the Configuring Time Series page from the Rich Filters for Jira Dashboards documentation. The difference is that now you have new options you can chose from:
|Setting||New options – description|
The user can select any SLA field as base for the time series. Each SLA option behaves like a date field representing the completion date of the SLA (only issues which have their SLA completed are taken into account; the completion date of the last SLA cycle is used).
If the series are based on an SLA field, then new values are available:
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.
The Value Type is automatically computed based on the Value setting. For the new value options based on SLA fields, we have the following value types:
See The Rich Filter Time Series Chart Gadget and The Rich Filter Statistics Gadget pages in order to see how the time series based on SLA fields can be displayed.