Dataset: Issues & Pull Requests
Entity: Issues
Field ID: sprint_name
Type: Datetime
Description: The name of the attached sprint
Source: App
Transformation logic
The attached sprint is evaluated as such:
If the issue has an
ACTIVEorFUTUREsprint (can only have one of the two), then use this sprint.If the issue only has
CLOSEDsprints, take the last closed/completed sprint
From: |
|
Github (PRs, Issues) | Repositories: N/A |
Gitlab (PRs, Issues) | N/A |
Bitbucket (PRs) | N/A |
Azure DevOps (PRs, Issues) | N/A |
JIRA (Issues) |
|
ClickUp (Issues) | N/A |
Trello (Issues) | N/A |
Reporting Use Cases
The Sprint Name field is the primary identifier for your agile sprints, making it an essential attribute for all sprint-based reporting, from tracking real-time progress to conducting historical retrospectives. As a text field, it is most commonly used for filtering and as a key dimension in your reports.
Filtering for Sprint-Specific Dashboards: The most fundamental use of this field is to scope your entire dashboard or a set of widgets to a specific sprint.
By applying a filter like
Sprint Name = "October Sprint - Week 2", you can create a focused view to monitor the progress of your current sprint, build burndown charts, and manage the team's workload.You can also use regex to analyze a series of sprints, for example,
Sprint Name ~ "^Q3 Sprint"to see all work from the third quarter.
Reporting and Velocity Tracking: Using sprint_name as a dimension is the best way to track your team's performance and velocity over time.
A column chart with
Sprint Nameas the dimension andSUM(story_points)as the metric will create a classic velocity chart, showing how many story points your team completed in each sprint.
Custom Formulas for Advanced Grouping: If your sprint names follow a consistent convention, you can use custom formulas to group them for higher-level analysis.
For example, if your sprints are named "Q1 Sprint 1", "Q1 Sprint 2", etc., you can create a dimension with a formula like
REGEX_EXTRACT(sprint_name, "^Q\\d")to group your data by quarter, allowing you to see quarterly velocity trends.
