Category: Engineering Analytics
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Engineering metrics: using data (DORA and others) to improve the team
The conversation around engineering metrics often gets stuck on the wrong things. We end up tracking activities like lines of code or number of commits per week, which say almost nothing about the health of our system or the effectiveness of the team. In practice, these metrics are easy to game and create incentives for…
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Maintainability Metrics in Software Engineering
We’ve all been there. You join a new team, clone the repo, and stare at a file that’s 2,000 lines long. Or you’re asked to add a “simple” feature to a codebase so tangled that changing one thing breaks three others. This is the slow, silent tax of unmaintainable code. It’s what turns shipping features…
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Optimizing PR Cycle Time for Developer Teams
You open a pull request and wait. A day goes by. You send a reminder on Slack. Someone finally leaves a few comments, you push a quick fix, and then you wait again. By the time the PR finally gets merged, the context has cooled off and you’ve already moved on to the next thing.…
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Essential DevOps Metrics for Engineering Teams
Ever get that feeling in an engineering planning meeting? You’re talking about velocity, story points, and sprint goals, but you can’t shake a simple question: “Are we actually getting better?” It’s easy to feel busy, but it’s much harder to know if you’re effective. Gut feelings and vibes don’t cut it. To truly understand and…
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Code Smells in Practice: How to Detect and Refactor
Ever look at a piece of code and just… get a bad feeling? It works, it passes the tests, but something about it feels off. It’s a little too complicated, a bit clunky, or just plain hard to read. That feeling, my friend, is your developer intuition picking up on a code smell. It’s not…
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Key Devops Metrics to Measure Success
If we want to deliver software faster and more reliably, we need to understand how the team is performing—both in development and in operations. That’s where DevOps metrics come in. They’re the most direct way to get real visibility into what’s working, where the bottlenecks are, and how the team’s efforts are turning into actual…
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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…
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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.…
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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…
