This documentation relates to an older version 1.0 of Rich Filters for Service Desk Dashboards. See the documentation index for other versions.

The Rich Filter Time Series Chart Gadget

Rich Filters for 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 Time Series Chart Gadget page from the Rich Filters for Jira Dashboards documentation. If you’re not sure how the Rich Filter Time Series Chart gadget works, you should check that page first.

Rich Filters for Service Desk Dashboards provides new options for the Rich Filter Time Series Chart gadget which allow you to display time series based on SLA fields:

  • see how the number of issues with SLA Completed, Met, or Breached has evolved over time
  • see how the SLA %Met or %Breached ratios have evolved over time 
  • see how the SLA Average durations have evolved over time

In order to configure these new features, the gadget provides new setting options: 

SettingNew options – description
Value Type

Two new Value type options are available besides Issue Count and Numeric Sum which existed already:

  • Percentage: if this option is selected, then the user can display time series based on SLA %Met and SLA %Breached ratios
  • SLA Average: if this option is select, then the user can display time series based on the average SLA duration

Time Series

Depending on the selected Value Type, the user can select time series based on SLA values:

  • if the Value Type is Issue count, then the user can select time series with values such as SLA Completed, SLA Met and SLA Breached. These can be combined with other time series with Issue Count value type, based on dates such as Created or Resolved.
    if the Value Type is Percentage, then the user can select time series with values such as SLA %Met and SLA %Breached
  • if the Value Type is SLA Average, then the user can select time series with SLA Average values

You can look at the Extending the Time Series page in order to know more about time series based on SLA fields.