Software development is a complex and demanding process. You need to be able to execute on a vision, stay focused, and maintain momentum. In addition, you also need to keep an eye on the big picture. However, because it can be hard enough just doing your job as a developer, sorting out all of these aspects of software development can be overwhelming.
Today, software developers use KPIs to track their performance, but a lot of people don’t know exactly what those KPIs are or how to interpret the information they produce. Of some of the most popular KPIs used in software development, cycle time is one of the most important. The lower the cycle time, the better. Click here to learn more about the software development cycle.
There are different ways to improve a software development cycle. Here are 3 such strategies.
Benchmark your cycle time and identify the areas that need focus
Cycle time is the amount of time it takes to complete a software development process, such as writing code, testing it, and delivering it to the customer. When you benchmark, you compare how long each step of your cycle takes with how long it should take in order for you to meet your overall objectives. By identifying areas where you need to focus on optimizing, you can improve the cycle time and save time and money in the long run.
Set team goals to improve each sprint
Creating a sense of shared ownership and accountability in your team is one of the best ways to improve software development cycle time. To do this, you’ll need to clearly set goals for each sprint. Acknowledging the importance of our tasks for the whole team can lead to better results and improved software development cycle time.
Automate continuous improvement with WorkerB
The goal of WorkerB is to achieve continuous improvement by automating the process. The application helps you track your cycle time data and use it to find areas for improvement. WorkerB shows you exactly how long each step of your process takes so that you can benchmark your cycle time and identify opportunities for improvement. Automating the task analysis process helps streamline implementation at a pace that fits your team, saving you time and resources to focus on other aspects of building great software.