Skip to main content

Issues and PRs > Sprint | Name

Arnaud Lachaume avatar
Written by Arnaud Lachaume
Updated this week

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 ACTIVE or FUTURE sprint (can only have one of the two), then use this sprint.

  • If the issue only has CLOSED sprints, take the last closed/completed sprint

From:

Github (PRs, Issues)

Repositories: N/A
​Projects: Iteration.title

Gitlab (PRs, Issues)

N/A

Bitbucket (PRs)

N/A

Azure DevOps (PRs, Issues)

N/A

JIRA (Issues)

sprints(last).name

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 Name as the dimension and SUM(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.

Did this answer your question?