Category
Engineering Analytics
Leveraging Engineering Analytics to Drive Developer Well-Being
SaaS sprawl and lack of visibility into distributed team work activities are challenging developer well-being. Can engineering analytics help EMs drive developer well-being?
Understanding Developer Productivity using SPACE metrics
Discover what metrics constitute the SPACE framework and how to use these metrics to comprehensively understand developer productivity.
DORA Metrics
What are DORA metrics and how can engineering teams use these metrics to identify high and low performing dev teams?
Effective code review practices for 2022
Code reviews are critical in ensuring code quality and completeness. Tracking these dev metrics can help teams boost the effectiveness and health of their review process.
Code churn: An analysis of troublesome workflows and possible countermeasures
Explore potential workflows that cause code churn and discover counter measures that leaders can use to mitigate the impact of churn.
Code complexity - a comprehensive guide
Understand what complexity in code really is, its business impacts, and how to improve code quality using metrics like code complexity.
Software Development Cycle Time - A deep dive
High cycle time could indicate risks to code quality, delivery and developer experience. Discover the causes and impact of high cycle time and what managers can do about it.
A Framework for Measuring Developer Productivity
SPACE is a framework for measuring and maximizing engineering team productivity. Read how to get a holistic view of your team’s activities using SPACE.
What is code churn?
Code churn indicates how often code changes. High code churn could, at times, be a potential red flag. How to detect unproductive churn and what to do about it?
Maker’s schedule vs manager’s schedule
Maker’s time is at risk in the modern workplace. Discover how managers can protect makers’ schedules while keeping teams in sync.
