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title: Configure and monitor sprint burndown
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titleSuffix: Azure DevOps
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description: Learn how to configure and monitor sprint burndown charts in Azure DevOps to track team progress and ensure your sprint plan stays on track.
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::: moniker range="azure-devops"
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<aid="use-ai-monitor-sprint-burndown"> </a>
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## Use AI to monitor sprint burndown
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If you configure the [Azure DevOps MCP Server](/azure/devops/mcp-server/mcp-server-overview), you can use AI assistants to help configure and interpret sprint burndown charts.
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| Task | Example prompt |
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|------|----------------|
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| Configure the report |`Help me set up a sprint burndown widget that tracks Remaining Work for my team's current sprint in <Contoso> project`|
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| Interpret the chart |`My sprint burndown shows a flat line for the first 3 days — what does that indicate and what should my team do?`|
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| Compare approaches |`What's the difference between the in-context sprint burndown report and the Sprint Burndown widget? Which should I use?`|
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| Track by story points |`Help me configure sprint burndown by Story Points instead of work item count in <Contoso> project`|
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| Retrospective insights |`Based on sprint burndown patterns, what process improvements should my team discuss in our retrospective?`|
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| Scope changes |`How can I tell from the sprint burndown chart whether scope was added mid-sprint?`|
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| Predict risk early |`Our sprint burndown is flat after day 3 of a 10-day sprint — what's the likelihood we'll finish on time and what should we adjust?`|
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| Compare sprints |`Compare our last three sprint burndown patterns and identify whether our estimation accuracy is improving`|
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| Optimize sprint length |`Based on our burndown history, would our team benefit from shorter two-week sprints instead of three-week sprints?`|
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| View the report |`Open the in-context sprint burndown report for <team> in <project> (<organization>) and explain what I'm seeing`|
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| Configure the widget |`Help me set up a Sprint Burndown widget on the <dashboard> dashboard for <team> in <project> (<organization>) that burns down Remaining Work`|
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| Troubleshoot an empty chart |`My sprint burndown chart is empty for <team> in <project> (<organization>) — walk me through what to check (iterations, tasks, Remaining Work, and parent items)`|
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| Track by story points |`Help me configure sprint burndown by Story Points for <team> in <project> (<organization>) and explain any prerequisites`|
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| Interpret a flat burndown |`In sprint <sprint-name>, our burndown is flat for the first <n> days — what does that usually indicate, and what should <team> do next?`|
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| Identify scope changes |`In the sprint burndown for <team> in <project> (<organization>), how do I tell whether scope was added mid-sprint and when it happened?`|
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| Compare report vs widget |`What's the difference between the in-context Burndown Trend report and the Sprint Burndown widget in Azure DevOps, and when should <team> use each?`|
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| Compare sprints |`Compare the last <n> sprints for <team> in <project> (<organization>) using burndown patterns and summarize whether our estimation accuracy is improving`|
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| Prepare for a retrospective |`Based on the last sprint burndown for <team> in <project> (<organization>), suggest 3 retrospective questions and 3 process improvements to discuss`|
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> [!TIP]
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> If you're using Visual Studio Code, agent mode is especially helpful for iterating on multi-step analysis (for example, comparing burndown trends across multiple sprints and summarizing the takeaways).
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