Category: Engineering Analytics
-
Software Metrics: A Guide for Engineering Leaders
If you lead an engineering team, you already know: picking the right metrics can be the difference between well-informed decisions and shots in the dark. In this article, we go straight to the point: which software metrics actually help leaders guide their teams with clarity and focus. No magic formulas. Not every software metrics deserves…
-
Lead Time: what it is and what it can reveal about your team
Lead Time is one of the most important metrics for measuring the efficiency of a software development process. Despite its popularity, many companies still don’t fully leverage this metric to identify bottlenecks, improve predictability, and boost team productivity. In this article, I’ll break down what Lead Time is and what insights it can give you.…
-
Software Metrics That Matter for Engineering Leaders
Software metrics are essential for engineering leaders—they provide valuable insights to assess project performance and efficiency. But agreeing on key performance indicators (KPIs) can be tricky since different professionals have different perspectives on what really matters. Our goal here is to highlight and break down the key metrics that help engineering leaders make better decisions…
-
Throughput: Using This Metric to Manage Your Project’s Workflow
If you lead an engineering team, understanding your team’s throughput is essential. Not just to know how many tasks are being delivered per sprint, but to get a clear picture of what’s actually delivering value. Throughput only starts making a difference when it stops being just another dashboard number and becomes a real decision-making tool.…
-
Key Metrics to Measure Your Technical Debt
Software development is a complex field that demands constant decision-making to balance innovation, speed, and quality. The concept of technical debt refers to short-term choices made to accelerate delivery, often compromising quality and creating long-term issues. To keep projects sustainable, it’s essential to measure technical debt using effective metrics that help assess its impact and guide…
-
Throughput Metric: What It Is, How to Measure, and Apply It
Does your team seem to be delivering less than expected? Or maybe you’re struggling to understand if the work pace is really efficient? This is where the Throughput metric comes in—an essential tool for measuring productivity and tracking team performance. The Throughput metric helps answer key questions like: how many tasks can we complete in…
-
Pull Request Metrics for Engineering Managers
Before diving into pull request metrics, here’s a heads-up: don’t use these numbers to evaluate or compare individual team members’ performance. Not every effort shows up in the stats. Solving a complex bug might take days and result in just one line of code, while a simple change might look more “productive.” Alright, now let’s…
-
Flow Metrics for Software Engineering Teams
Striving for efficiency is a constant for software engineering teams. To reach that goal, it’s crucial to understand and monitor flow metrics. These metrics give valuable insights into the team’s performance, helping to identify bottlenecks and improvement opportunities. There are several flow metrics out there, but we believe these three are the key ones every…
-
WIP: learn how to limit it and move faster
In this article, we’re going to talk about why WIP (Work In Progress) is important, how to manage it in engineering teams, and share some strategies to help you set WIP limits in your project. What does WIP mean? WIP, or *Work in Progress*, is a key concept for understanding how efficient a project is.…
