Issues likely to spill

Definition

It gives intelligence to the team about number of issues that could potentially not get completed during the iteration. Issues which have a Predicted Completion date > Sprint end date are considered.

Calculation Logic

This widget shows number of issues likely to spill.

It is based on the logic of remaining estimate of an issue and comparing it with the remaining time in the sprint. 1 day considered as 8 hours

Filters

Filter by Issue type

Filter by Priority

Columns in Overlay Screen

1. Issue ID

2. Issue Type

3. Issue Description

4. Issue Priority

5. Size (Story Point/Days)

6. Issue Status 

7. Due Date

8. Remaining Estimate

9. Predicted Completion Date

Configurations