Due Date Performance Chart for Jira
Assess your due date performance. Evaluate the accuracy of your predictions. Track your on-time delivery ratio.
Assess your due date performance. Evaluate the accuracy of your predictions. Track your on-time delivery ratio.
The Due Date Performance Chart for Jira enables you to assess your due date performance by comparing the time between the start date and due date of an issue against the actual time needed to deliver your work. Each dot on the graph represents a completed issue from your board in Jira, with a cycle time on the horizontal axis and the predicted time displayed on the vertical axis.
Your due-date performance is a representation of reliability. It is a factor measuring the quality of your initial forecast. The accuracy of your forecasts strongly depends on the stability of your system - the more stable your system, the more dependable your forecasts.
The Due Date Performance chart for Jira enables you to compare ‘On-time work items’ and ‘Overdue work items’ in order to perform a more granular analysis of the reasons behind your delays.
The predicted time is the difference between the moment when an issue entered your workflow and the due date of the issue. Your completion time, meanwhile, is calculated as the difference between the same starting point and the issue’s actual completion date.
By clicking on each dot, you can reveal more details of the issue, such as its total cycle time, its predicted time, a direct link to the card on your Jira board as well as its cycle times breakdown.
Monitor your overdue issues individually and pay attention to the states with the longest cycle times in order to point out bottlenecks in your system and identify opportunities for improvement.
The line scattered through the chart is called a regression line. It runs roughly through the middle of all your completed issues. The slope of the line indicates the correlation between your predicted time and the actual time you needed to finish your work.
The due date regression line helps you assess the accuracy of your predictions and determine how efficiently your system is running.
The ‘On-Time Delivery’ widget displays the percentage of times that you managed to deliver before your due date approached. It also visualizes how your due date performance trends have been moving over time.
The most important part of assessing your due date performance is tracking whether your work has been delivered on time. If the percentage is quite low, this denotes that your initial predictions are not reliable. If that’s the case, consider using your past performance data to perform your forecasts with the Cycle Time Scatterplot for Jira.