Recently, we changed the sprint dates in our Azure DevOps project as we were not able to complete a sprint in the specified timeline. So, in this article, I will walk you through all the steps to change sprint dates in Azure DevOps.
How To Change Sprint Dates In Azure DevOps
To change sprint dates in Azure DevOps, follow the steps below.
1. Log in to Azure Portal.
2. Search for Azure DevOps Organizations, and then you can click on the search result for Azure DevOps Organizations under the Services node.

3. Now, let us click the My Azure DevOps Organizations link, as shown in the screenshot below.

4. Click on the Azure DevOps project from the list below.

5. Click on the Boards link from the left navigation and click on the Sprints link, as shown in the screenshot below.

6. Select the sprint from the dropdown and then click the respective dates as shown in the screenshot below.

7. On the Edit iteration window, select the new start date and end date, and then click on the Save and Close button.

As shown in the screenshot below, the sprint date has been changed successfully.

Alternatively, you can click the Project settings option and then click Project Configuration. Then, under iterations, select the respective sprint, click the More Actions (three dots) menu, and then click the Edit option, as shown in the screenshot below.

Now, select the new start date and end date and click the Save and Close button as shown in the screenshot below.

The date of the sprint in Azure DevOps has changed successfully, as shown in the screenshot below.

You may also like the following articles.
- How To Move User Story From One Sprint To Another Azure DevOps
- How To Rename Sprint In Azure DevOps
- How To Create A New Sprint In Azure DevOps
- How To Delete A Sprint In Azure DevOps
- What Is Work Items in Azure DevOps

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.
