A Control Chart can help your team better plan your delivery pipeline. As a Jira user, you can use this handy chart to map time spent on a product, version, or sprint for comparison against historical performance. 

Control Charts can help answer important Jira project management questions like: 

  • Are you consistently able to deliver on time? 
  • What aspects of a project are bogging you down? 
  • Do you spend a similar amount of time contending with every issue or sprint? 

Armed with a Control Chart, you can quickly identify deviations to better plan future timelines. The fewer variations in average the cycle time, the higher your confidence in using the median to indicate future performance. 

A Control Chart can also measure the effectiveness of process change. Did you recently adjust team sizes, reassign resources, or test a new dev tool to try and boost productivity? Turn to your Control Chart to compare performance against past cycle times to see how the change impacted time spend. 

Additionally, a Control Chart shows whether your historical data is a fit predictor of future success. Did the time your team spent to complete a sprint fall in line with your typical performance? You can view the rolling average, overall average, and the standard deviation, a metric that keys in on whether outliers will endanger overall performance. 

Jira offers tons of ways to customize this helpful report. Let’s see how these customization tools can help your team performance when it comes to project planning. 

Getting Started: How to Customize a Jira  Control Chart

Jira Control Chart

The Control Chart offers several customization options that allow the user to fine-tune the display data. The chart has five main sections, and under these sections, you’ll find various sub-options:

  1. Issue details: Green dots represent an individual issue. You can click on each green dot to see the data for that specific issue. 
  2. Zoom in: Highlight an area on the chart to focus on a specific period.  
  3. Time scale: Use this to configure the time period you’d like to view the data for. You have two options:
    • Timeframe: Choose different time frames such as the past week, past month, all time, etc.
    • Custom date: Select a custom range. 
  4. Refine report: You can select columns, swimlanes, and quick filters.
    • Columns: Filter data by “Starting,” “In Progress,” “Testing,” and more. 
    • Swimlanes: Pick different swimlane categories like Stories, Queries, Assignees, and more.
    • Quick Filters: Pick from a list of available filters or ones you’ve favorited. You can use JQL to create your own  quick filters.
  5. Viewing options: Opt to exclude non-working days from the chart view.

Jira software offers plenty of options for customizing the Control Chart. You can use these customizations to suit your team’s needs or make the Control Chart easier to understand for external stakeholders. 

Use these 4 common tips to customize your Jira Control Chart with JQL

Remove unwanted outliers

What is one of the most valuable benefits of a Jira Control Chart? Identifying outliers. However, you may not need your chart to show them all.  To remove unwanted outliers, add a label to each outlier issue and create a quick filer for it using basic JQL: labels is EMPTY or labels not in (outlier)

Remove triage casualties

Users generally want to track the issues with a “fixed” label.  Perhaps you’ve triaged an issue or are tracking it elsewhere. This can skew the data. So, to remove the triage casualties, you can create a quick filter using JQL: resolution in (Fixed)

Exclude current work

By default, your Jira Control Chart will include issues that are still in progress.  To view data only for the completed work, create a filter using Quick filter using JQL: status in (Resolved, Closed)

Show only working days

Depending on your project, you may or may not need to account for non-working days. At the bottom of the chart in Viewing Options, you can easily configure your Control Chart to calculate only workdays or include total elapsed days. 

Now you’re ready to customize your Jira Control Chart 

The Control Chart is one of the powerful tools in Jira. 

You can customize the process to show time spent in development, QA, lead times, and more. A Control Chart maps the time on issues spent compared against valuable metrics like the maximum and minimum time you’ve spent on historical objectives.  This helps you and your team  monitor for bottlenecks and identify gaps so you can better predict future cycle times.

If you have any questions, contact the Anova Apps Products team at products@anovaapps.com, or please visit the Jira Service Desk to request support, report a bug, or suggest a feature.

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