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How to Calculate Average Time in Azure
Identify Relevant States: Determine which states you want to measure. For example, tracking how long tasks stay in “To-Do,” “In Progress,” or “Code Review” can highlight areas where work is delayed.
Generate the Report: Follow these steps to calculate Average Time using the Time in State add-on:
Select the Average Time Report in the add-on interface.
Choose a query that defines the Work Items you want to analyze.
Select Time Granularity: Decide how granular you want your report to be — options include hourly, daily, weekly, monthly, or quarterly timeframes.
Optionally, select a specific range of Work Items in the “Work Item” dropdown.
Set a time range to display calculations for a specific period.
Analyze the Insights: Use the report to identify stages where work is delayed. For example, if tasks are spending too much time in the “Code Review” state, it may indicate a need for more reviewers or process improvements.
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Average Time Report is Calculated in Azure?
Calculating the average time for tasks can help you understand your workflow better. Here’s a straightforward guide to help you:
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For example, if two tasks spent 2 and 4 hours in the “To-Do” status respectively, the total time is 6 hours. Divide this by 2 (number of tasks), resulting in an Average Time of 3 hours.
Key insights from Average Time Report:
Resource Management: The report provides data that aids in resource planning. For instance, if a particular stage consistently takes longer, it may indicate a need for additional team members or a review of the task assignment strategy. This allows for a more strategic allocation of resources based on workload and priorities.
Informed Sprint Planning: You can use Average Time metrics to refine sprint planning. Knowing how long tasks typically take in different states helps set realistic expectations and plan more achievable sprints, avoiding overloading or underutilizing team members.
Performance Tracking: The Average Time Report clearly shows team performance over time. It enables you to monitor improvements or identify trends in task duration, providing a basis for performance reviews and continuous improvement efforts.
Enhanced Forecasting: With historical data on how long tasks stay in specific states, you can make more accurate predictions for future timelines. This ensures that stakeholders receive realistic updates, improving communication and trust.
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If you need help or want to ask questions, please contact SaaSJet Support or email us at support@saasjet.atlassian.net |
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Haven't used this add-on yet? Try it now >>>Time in State for Azure DevOps |