Recently, I got the requirement to delete all the unwanted sprints from my Azure DevOps dashboard. In this article, I will walk you through all the steps to delete a sprint in Azure DevOps.
Table of Contents
How To Delete A Sprint In Azure DevOps
To delete a sprint in Azure DevOps, follow the below steps.
1. Log in to Azure Portal.
2. Search for Azure DevOps Organizations and click on the search result Azure DevOps Organizations under the services.

3. Click on the My Azure DevOps Organizations link in the screenshot below.

4. Click on the specific project from the lists of projects.

5. Click on the Boards option from the left navigation and then click on the Work items option, as shown in the screenshot below.

6. Select the specific work item, click on the More Actions (three dots menu), and then click the Delete option as shown in the screenshot below.

7. Now, to confirm the deletion process, we can click the Delete button, as shown in the screenshot below.

Check out How To Create A New Sprint In Azure DevOps
FAQs
Can I undo a sprint deletion in Azure DevOps?
No, You won’t able to undo this. This is a permanent deletion process.
Can I delete multiple sprints at once in Azure DevOps?
No, You can delete one by one.
Is deleting a sprint the same as closing it in Azure DevOps?
No, both are different. deleting the sprint means it removes the sprint entirely but closing the sprint is like copleting the sprint that retains the data as well.
What happens to work items in a deleted sprint in Azure DevOps?
It is recommanded to move the work items to a diffrenet sprint before deleting that. Any way, Azure DevOps will not allow you to delete the sprint with work items.
You may also like following the articles below.
- How To Connect Azure DevOps With Visual Studio
- How to create a test plan in Azure DevOps
- How to check Azure DevOps Status

I am Rajkishore, and I am a Microsoft Certified IT Consultant. I have over 14 years of experience in Microsoft Azure and AWS, with good experience in Azure Functions, Storage, Virtual Machines, Logic Apps, PowerShell Commands, CLI Commands, Machine Learning, AI, Azure Cognitive Services, DevOps, etc. Not only that, I do have good real-time experience in designing and developing cloud-native data integrations on Azure or AWS, etc. I hope you will learn from these practical Azure tutorials. Read more.
