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To be able to pinpoint it, you need to collect the cycle time for the key steps in your process. The problem could be anywhere in the process.
If there’s a sudden spike and the cycle time for bug fixes jumps to eight days, you know something is not right. Then, by measuring variations in that baseline, you will know how you are doing.įor example, let’s say you know your average cycle time for delivering each bug fix is about two days. The key is to start tracking as soon as you can, and establish a baseline. So, how does knowing the average time from coding to production help you? The following chart is an example of the usual development process.
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In a typical software development team, a lot happens between the start and the finish line. In simple terms, average cycle time tells you how long on average it takes for your team to take issues from the start to the finish line.
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I have learned that average cycle time for your development process has a lot to say about your software development practices and the tools you use - code review tools, automated tests, deployment scripts, etc.
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Sign up for free Why cycle time is so important However, unless you automate the measurement process, it's really hard to have enough valid data to be useful. What is difficult is coming up with an automated way of doing the measuring, since a software development team usually works on a large number of issues and tasks. (We used our own software to build a dashboard to measure various teams’ cycle time.)Ĭycle time is not hard to measure if you have the tools and the discipline to do it. The following screen capture shows cycle time for our team. This involves measuring the cycle time for each issue (story, bug, etc.) we work on from the time we start coding until the issue is resolved and the code change is released to production and being used by the customers. In Klipfolio’s case, we started by measuring the development cycle time (see above diagram). You can measure the cycle time of your end-to-end development process or a subset of the process that’s important to you. Within the task or process itself, there can be several individual elements that have their own cycle time, as the following diagram shows.įor example, the cycle time for software development, which goes from the beginning of coding to the release of the software, is different (and shorter) than the cycle time for the end-to-end process, but longer than the cycle time for reviews and verifications. Longer or lengthening cycle times mean there’s waste or inefficiency in the process, and delays for customers.Ĭycle time, a metric borrowed from lean thinking and manufacturing disciplines, is simply the time it takes to bring a task or process from start to finish. Shorter cycle times mean an optimized software development process and faster time to market. It can tell you a lot about the way you work. My experience has led me to believe that cycle time is one the most important of all. There are various standard metrics that software development teams use to measure the performance of their development process.