Jira Issues → Code Analysis → Performance Dashboard
Connect issue tracking with code quality metrics to automatically generate developer performance insights and identify productivity blockers.
Workflow Steps
Jira
Extract issue and sprint data
Set up API integration to pull ticket completion times, story points, and developer assignments from your current and past sprints.
GitHub
Match commits to tickets
Use commit messages and branch names to automatically link code changes to Jira tickets, tracking time from ticket creation to code deployment.
Google Sheets
Calculate performance metrics
Build formulas to calculate cycle time, throughput, code review time, and identify bottlenecks in your development process.
Google Data Studio
Create visual dashboard
Build an automated dashboard showing team velocity trends, individual developer metrics, and sprint-over-sprint improvements with charts and KPIs.
Workflow Flow
Step 1
Jira
Extract issue and sprint data
Step 2
GitHub
Match commits to tickets
Step 3
Google Sheets
Calculate performance metrics
Step 4
Google Data Studio
Create visual dashboard
Why This Works
Links project management data with actual code output to provide objective performance metrics, helping identify process improvements and recognize high performers.
Best For
Engineering managers who need data-driven insights into team performance and development bottlenecks
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