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Toggle between count of Issues or Points (in the right hand panel)
Select the date range - either manually or with the slider
Adjust the rate at which the scope line is flattened out.
The projected scope is based on the historical rate of scope growth. Higher numbers will flatten out the projected scope. e.g. a number of 3 means that each day into the future the rate of scope growth will be decreased by 3%
Adjust projected completion rate. This shows the range of completion rates, based on historical completion rate.
The manual forecast enables you to adjust the throughput rate. You might use this if there is not yet any history for the fix version / epic.
Use the number in (7) to decide what is a good manual rate to use
Choose how many recent weeks you want to use to calculate the recent average throughput rate
This is the average throughput rate for the last 3 weeks (which is set in the slider above)
Use the slicers to select Team, Fix Version or Epic
Decide on which states make up your squad's 'team’s Definition of Done' state
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Purpose: See the mix of work being done by a squad team or Swimlane - showing Issue Type
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Review if it is the optimal balance of work being done
Decide if adjustments need to be made in the prioritisation of work coming to the squadteam
Settings:
Change the date range (or use the slider) to select dates that issues were closed
Slice by project or team
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Purpose: Use to identify outliers and trends in cycle times
Primary audience: The squad / team
Uses:
Useful input to retrospectives to review the trends and patterns
Identify outlier stories and see if there is a pattern or underlying cause
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Purpose: Predict how long it will take to finish a new story.
Primary audience: Squad Team, Delivery managers
Uses:
Identify outliers (very long cycle time) and investigate root causes
See what the 85% is (not yet on this chart -coming in later version, may need non-PowerBI functionality)
Can then say that the squad team is able to turn around 85% of work within x days. This can be compared over time
See how predictable the squad team is. Tighter spread of columns indicates more predictable
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Purpose: Identify work that has become stuck or forgotten whilst in the selected state e.g. In progress or 'ready for deployment'
Primary audience: Squad Team and Delivery manager
Uses:
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