Research has shown that a combination of clear goals, roles, and team norms can improve team performance.
For decades, measuring the effectiveness of software engineering efforts has been commonplace for engineering leaders. Whether it’s leading indicators such as velocity and sprint burndown charts or lagging metrics like escaped defects and release frequency, each data point tells a story as to how an engineering team is performing.
Metrics, when used in the right situation and accompanied by the correct context, are a powerful means to help improve team performance. However, even the best metrics used in the industry have blindspots and shortcomings.