Category: Engineering Analytics
-
How to Improve Deployment Time
When it comes to software development and delivery cycles, deployment time is one of the most crucial factors for agility. An efficient deployment means reducing the time between creating a feature or fix and getting it into production, resulting in faster value delivery to users. In this article, we’ll cover some practical techniques to help…
-
Lead Time: 6 Tips to Optimize Your Project’s Efficiency
Understanding and managing lead time is critical for any project’s success. A shorter lead time means faster delivery to customers, allowing your company to respond quickly to market demands and user needs. But cutting lead time isn’t easy. It requires a strategic approach, from process optimization to continuous improvement and efficient priority management. The key…
-
The Productivity Trap: Why Metrics Are Failing Engineering Teams
In the last few years, the word “efficiency” has been thrown around everywhere. No surprise that a lot of software engineering teams are trying to find better ways to measure productivity. But honestly? That’s been a real challenge. According to Atlassian’s 2024 State of Developer Experience report, most leaders already realize that traditional metrics just…
-
Throughput: the metric in your project’s flow management
