The control chart has several customization options that allow you to fine tune the data being displayed on the chart. These options are displayed below the chart itself, as shown in the following screenshot:
When you first start working with the control chart, you should want to identify and remove the outliers from the chart as they can often skew your data and give you incorrect readings.
Outliers are the green dots far above the light-blue band; these are often issues that are created or transitioned incorrectly because of human error. You can easily filter out these issues by applying a label to each of the issues and creating a new quick filter. To do this, perform the following steps:
- Review each outlying issue and apply a label (outlier) to it if it is confirmed to be an outlier.
- Create a new quick filter for the board with the following JQL: labelsnotin(outlier).
- Select the new quick filter from the Quick Filters field on the control chart.
You can use this technique to filter out other issues that might skew your chart, such as duplicated issues.