Category
Engineering Analytics
How to Use and Not Use DORA Metrics for Tracking Software Delivery?
Engineering teams know that DORA metrics is the solution, most of them struggle putting DORA into the right use. In this blog, let’s see how to use and not misuse DORA metrics for assessing project progress along with the software development lifecycle.
Sprint Velocity: The Ultimate Guide
Know everything about sprint velocity, its importance in agile planning, and how to measure and visualize velocity for teams.
9 Best Practices of Software Development Life Cycle (SDLC)
This article provides an overview of the software development life cycle, its importance and how you can improve your SDLC through best practices.
Why Should Engineering Teams Care About Git Analytics
Git is a version control system used to maintain, share, and collaboratively develop code. Analyzing Git data helps engineering managers to drive actionable insights about dev workflows, and project health.
How to Use ClickUp for Software Development Teams
Here’s how software development teams can use ClickUp for better project management
4 Key DevOps Metrics for improved efficiency and performance
Learn how to use DevOps metrics to improve dev team speed, alignment, and efficiency.
How to Calculate and Analyze Code Churn Rate?
Delve into details about code churn metrics, learn how to calculate code churn rate, and how to use the metric to improve dev team performance.
How to use cycle time to improve your dev velocity?
Engineering managers can use the insights from their team’s cycle time metric to improve their velocity. Read how.
Leveraging Engineering Analytics for Developers’ 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.
What are 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.
The SPACE 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.
