Question

Your operations team wants a dashboard in Azure DevOps that surfaces Mean Time To Recovery (MTTR) for production incidents. Incidents are tracked as work items of type 'Incident' with a custom 'Detected On' date field and the standard 'Closed Date' field. Leadership wants to see the average duration between detection and resolution over the last 90 days, refreshed automatically. Which approach best delivers this metric on an Azure DevOps dashboard?

Accepted Answer

Build an Analytics view filtered to Incident work items closed in the last 90 days, then create a Power BI report calculating the average of (Closed Date − Detected On) and pin it to the dashboard, or use an Azure DevOps chart widget over that Analytics view.

Answer

Add the built-in 'Cycle Time' widget, which by definition measures the time between incident detection and closure for any work item type.

Answer

Create a flat-list work item query that returns all closed Incidents and add the 'Query Results' widget, since it automatically computes average date differences.

Answer

Use the 'Lead Time' widget scoped to the Incident work item type, because Lead Time is the standard measure of recovery duration after an outage is detected.