Skip to main content

Issues and PRs > Sprint | Start at

Arnaud Lachaume avatar
Written by Arnaud Lachaume
Updated this week

Dataset: Issues & Pull Requests

Entity: Issues

Field ID: sprint_start_at

Type: Datetime

Description: The datetime at which the attached sprint is set to start.

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.startDate

Gitlab (PRs, Issues)

N/A

Bitbucket (PRs)

N/A

Azure DevOps (PRs, Issues)

N/A

JIRA (Issues)

sprints(last).startAt

ClickUp (Issues)

N/A

Trello (Issues)

N/A

Reporting Use Cases

The Sprint Start At field is a fundamental timestamp for all real-time and historical sprint reporting, as it marks the official beginning of a sprint cycle. It serves as the primary anchor for burndown charts and for measuring how work progresses from the moment a sprint kicks off.

  • Filtering for Active and Upcoming Sprints: You can use this field to create reports that focus on current or future work.

    • To build a dashboard for the sprint that just began, you can use a filter like Sprint Start At in the previous 7 days.

    • To get a view of upcoming work, you can filter for issues in future sprints with Sprint Start At in the next 14 days.

  • Creating Sprint Burndown Charts: This field is the essential starting point for any sprint burndown chart. It sets the beginning of the time axis, against which all completed work (measured by COUNT() or SUM(story_points)) is plotted, allowing you to visualize if your team is on track to meet the sprint goal by the Sprint End At date.

  • Measuring In-Sprint Responsiveness: You can use this timestamp to calculate how quickly your team starts working on issues once a sprint has begun.

    • A custom formula like (first_commit_at - sprint_start_at) / DAY() can measure the "time to first commit" relative to the sprint's start. A high average for this metric might indicate that there are delays or blockers at the beginning of your sprint, or that issues are being added to the sprint late.

Did this answer your question?