This article will familiarize you with the overview, interpretation, configuration, and best use of the Release Velocity Trend.
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Overview
Release velocity Trend helps you measure how much work you have delivered to your customers in the past releases. Once you have delivered a few releases, you can use the velocity to forecast how much work you can deliver in the upcoming release.
Configuration
To plot a Release Velocity Trend, perform the following steps:
1. Open Analytics Builder and go to Standard Widgets. Click the Release Velocity Trend from the Agile Analytics group of metrics.
2. The Setting page appears where you can specify the settings for the widget:
Widget name: Modify the name, if required.
Data Criteria
1. Select filter: Open the Select filter drop-down and choose an existing item filter for your releases from the drop-down. You can also create an item filter by clicking the Add icon. Moreover, you can also modify an existing filter by clicking the Edit icon. The specified number of releases matching to the applied filter will be plotted in the widget.
2. Release selection: There are two ways to select the releases for plotting the chart.
a. Fixed list of releases: Select this option to choose specific releases from the given date range. To select specific releases, specify a date range in the From and To fields. All the releases whose start date falls between the given date range will be displayed. Select the releases that you want to plot in your widget.
Note: Only past releases (releases with an end date earlier than the current date) are available for selection.
b. Dynamic list of releases: Click this option to dynamically plot the chart based on the past releases (releases with end date earlier than the current date). To select the dynamic releases, enter the number of the releases in the Release field. Note: You can select a maximum up to 99 releases. By default, the past 12 releases are selected.
Chart settings
3. UoM: Select the unit of measurement as points or workitem count for the releases to be plotted.
4. Chart Type: Select the chart type as a bar chart or line chart to plot the widget.
5. Show trend line: Select this option to show the trend based on the linear progression of the selected analytics.
6. Show data labels: Select this check box to show the labels on the chart.
Interpretation
The release names are displayed on the X axis and the Estimates (Points)/ Workitem Count are shown on the Y axis. The trend line shows the increasing or decreasing pattern of the release velocity.
The Chart also shows us the following summary on top:
- Average: Shows the average value of sum of estimated points or workitem count of all the selected releases.
- Last 3: Shows the average value of sum of estimated points or workitem count of the last three releases.
- Best 3: Shows the average value of sum of estimated points or workitem count of 3 releases that have the highest sum of points or workitem count amongst the selected releases.
- Worst3: Shows the average value of the sum of estimated points or workitem count of 3 releases that have the lowest sum of estimated points or number of workitems amongst the selected releases.
Note: For the Medium size widget, only Average and Last 3 values are shown on top.
Best Use
Based on the average velocity you can plan your future releases accordingly.
1. If the complexity level is high for the workitems planned for the Release then the average of the worst 3 releases can give you a perspective of how many story points you might end up delivering in the worst-case scenario.
2. Similarly, if the workitems being planned for the upcoming release are relatively straightforward then the average of the best 3 releases in which the most work had been delivered can act as a guidance.
3. And in cases, where the kind of work being done is same as it has been for the recent 3 releases then the average story points delivered in the past 3 releases will help you plan for your future release.