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- Customer Issue Statistics
- Customer Issue Charts
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Customer Issue Statistics
Open Customer Issues by Priority
Shows the breakdown of all Customer Issues by JIRA priority
- Blocker = P0
- Critical = P1
- Major = P2
- Minor = P3
- Trivial = P4
Open P1 & P2 Customer Issues by Status
Shows the breakdown of all P1 & P2 Customer Issues by JIRA status
- Open
- In Development
- Waiting for QA
- In QA
All Open Customer Issues by Status
Shows the breakdown of all Customer Issues by JIRA status
Heat Map – Open Customer Issues by Customer
Heat map emphasizing customers with the most open issues.
Selecting the customers name will provide a list of their individual issues.
Customer Issue Charts
Created vs. Resolved Chart: P1 & P2 Customer Issues
- Shows the created and resolved P1 and P2 Customer Issues over the last 180 days
- Totals grouped weekly
- Bottom of the chart shows the running backlog trend
- Resolved issues are issues that have been fixed and included in a build or issues that have been closed out without needing a fix (duplicate, not an issue, etc.)
Average Age Chart: P1 & P2 Customer Issues
- Shows weekly the average number of days that P1 and P2 Customer Issues have been unresolved for the last 180 days
- Unresolved in JIRA refers to issues with a status of “Open” or “In Development”
- Current average age is skewed due to the initial import but should normalize over time
Created vs. Resolved Chart: All Customer Issues
- Shows all created and resolved Customer Issues over the last 180 days
- Totals are grouped weekly
- Bottom of the chart shows the running backlog trend
- Resolved issues are issues that have been fixed and included in a build or issues that have been closed out without needing a fix (duplicate, not an issue, etc.)
Average Age Chart: All Customer Issues
- Shows weekly the average number of days that all Customer Issues have been unresolved for the last 180 days
- Unresolved in JIRA refers to issues with a status of “Open” or “In Development”
- Current average age is skewed due to the initial import but should normalize over time
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