Category: Engineering Analytics

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…

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.…

Throughput in Scrum is a key metric for evaluating the efficiency and productivity of software development teams. It shows the amount of work completed in a certain period, helping to identify potential bottlenecks and areas for improvement. What is Throughput? Throughput is a metric that measures the amount of work completed by a team within…

The world of software delivery is full of terms and metrics that can seem confusing at first glance. Two of these commonly used but often misunderstood terms are Cycle Time and Lead Time. While they may seem similar at first, these metrics play distinct roles in process and project management. In this article, we’ll break…

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…