Extending the time series
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 Configuring Time Series page from the Rich Filters for Jira Dashboards documentation.
Rich Filters::Service Management Dashboards allow you to define time series based on Service Management SLA fields. These time series can be displayed in the Rich Filter Time Series Chart and the Rich Filter Statistics gadgets 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 familiar with these operations, 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 choose from:
Setting | New options – description |
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Series | The user can select any SLA field as the base for the time series. Each SLA option behaves like a date field representing the completion date of the SLA (only issues with their SLA completed are taken into account; the completion date of the last SLA cycle is used). |
Value | If the series are based on an SLA field, then new values are available:
In all the cases, only the issues with the completed SLA are considered, and only the last cycle is included in any computation. |
Value | The field Satisfaction and custom values based on Satisfaction can also be used as values in time series. Users can display average, min, or max values based on customer satisfaction. |
Value Type | 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:
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See The Rich Filter Time Series Chart Gadget and The Rich Filter Statistics Gadget pages to see how the time series based on SLA fields can be displayed.