This is a widely spread KPI adopted by many agile teams.
Measure and track it directly on your Jira dashboard with the ‘Performance Objectives’ dashboard gadget.
To measure Defect Removal Efficiency with Performance Objectives: Chart for Jira app, we are using the custom metric formula feature and data segmentation options of the app.
The formula to calculate looks as follows:
DRE = (A/(A + B)) * 100
where A is total defects found in development, B is total defects found in production.
The JQL data segmentation in the configuration is based on Bugs reported by QA team vs. not reported by QA team, instead of reported in Development vs Production environment. The reason is that environment field may not be explicitly filled by a reporter on your instance so the given configuration would provide more accurate results.
Below you can watch the video with the complete steps to configure Defect Removal Efficiency on your Jira dashboard from scratch using the ‘Performance Objectives ‘dashboard gadget (time to watch 02:25 min.).
Here is also a summary of the basic steps to the present configuration:
Step 1: Add the ‘Performance Objectives’ dashboard gadget to your dashboard.
Step 2: Add 2 data sources, one with Bugs reported by QA team, and the second one with Bugs reported outside the QA team.
Step 3: Select ‘Formula’ tab for the Metric calculation.
Step 4: Add 2 parameters – first (P1) with the number of issues from data source A: ‘Reported by QA’ and second (P2) with the number of issues from data source B: ‘Reported by others’.
Step 5: Use the parameters above in the formula equation: “(P1/(P1+P2))*100” for Defect Removal Efficiency (%) KPI.
Step 5: (Optional) Adjust the date granularity according to your needs.
Step 6: (Optional) Set Group by to ‘Components’ or “Priority” or another filed of your choice.
Step 7: Switch on Target section and select ‘Overall’ visualization. Keep the ‘Fixed’ tab selected and set a target value.
Step 8: Expand the ‘More Settings’ section, enable the ‘Warning Threshold Line’ and set value as % target. This will color the results above that value and below the target in amber.
Another visualization is also available for that configuration if you choose ‘per x-axis item’ type in the target section as follows:
You will get the following chart showing % completion against each x-axis item:
You may also check the Formula Metrics Article for more ideas how to use the Formula feature.
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