Evaluate your due date performance. Analyze your delayed work.
Measure your on-time delivery ratio.
The Due Date Performance Chart enables you to evaluate your due date performance by comparing the time between the start date and due date of a task with the actual time it took to deliver your work. Each dot on the graph represents a completed work item on your Kanban board with a cycle time on the horizontal axis and the predicted time on the vertical axis.
Your due-date performance is a measure of reliability. Furthermore, it’s a factor determining the quality of your initial forecast. The accuracy of your forecasts strongly depends on the stability of your system - the more stable your system is, the more reliable forecasts it will produce.
The Due Date Performance chart enables you to filter your completed work by ‘On-time work items’ and ‘Overdue work items’ to perform a more granular analysis of the reasons behind your delays.
The predicted time is calculated as the difference between the moment when a task entered your workflow and the due date of the task, while your completion time is the difference between the same starting point and the task’s actual done date.
By clicking on each dot, you will be able to see more details of the task like its total cycle time, its predicted time, a direct link to your management system as well as the cycle times your work has spent in each process state.
Analyze your overdue tasks individually and pay special attention to the states with the longest cycle times 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 tasks. The slope of the line is the correlation between your predicted time and the actual time you spent finishing your work.
The due date regression line helps you assess the accuracy of your predictions and evaluate 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 arrived. It also shows how your due date performance trends have developed over time.
The most important part of analyzing your due date performance is assessing whether your work has been delivered on time. If the percentage is quite low, this means that your initial predictions are not reliable. If that’s the case, consider forecasting your work using your past performance data with the Cycle Time Scatterplot.
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