Track and analyze engineering team performance metrics focusing on velocity, code quality, and team capacity to optimize development efficiency and delivery.
Report Objective
Monitor and evaluate engineering team performance through key velocity metrics, code quality indicators, and capacity utilization. This monthly analysis helps identify trends, bottlenecks, and opportunities for process improvement while ensuring sustainable delivery practices.
Development Velocity Trends
Line chart showing story points completed and cycle time trends
Questions to Consider:
How has team velocity trended over the past months?
Are there any significant variations in cycle time?
What is the correlation between story points and cycle time?
How does current velocity compare to team capacity?
What is the month-over-month change in completed story points?
Are there any seasonal patterns in velocity?
How does current velocity compare to historical averages?
What is the trend in cycle time over recent months?
Are there specific types of work with longer cycle times?
How do process changes impact cycle time?
Code Quality Metrics
Bar chart displaying test coverage and bugs per release
Questions to Consider:
How is code quality trending over time?
Is there a correlation between test coverage and bug count?
Are quality metrics meeting established thresholds?
What impact do quality metrics have on velocity?
Is test coverage meeting target thresholds?
What is the relationship between coverage and defect rates?
Are there areas needing additional test coverage?
How has the bug rate changed over time?
Are there patterns in types of bugs being found?
What is the impact on team velocity?
Team Capacity and Planning Accuracy
Line chart showing planned vs. actual delivery and team capacity
Questions to Consider:
How accurate is sprint planning?
Are there consistent patterns in capacity utilization?
What factors impact planning accuracy?
How does technical debt affect capacity?
What is the trend in planning accuracy?
How does capacity utilization affect planning accuracy?
Are there specific work types that are consistently under/over estimated?