[{"data":1,"prerenderedAt":700},["ShallowReactive",2],{"/en-us/blog/reduce-cycle-time/":3,"navigation-en-us":32,"banner-en-us":449,"footer-en-us":461,"Suri Patel":672,"next-steps-en-us":685},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":22,"_id":25,"_type":26,"title":27,"_source":28,"_file":29,"_stem":30,"_extension":31},"/en-us/blog/reduce-cycle-time","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"Want to reduce cycle time? Commit to a new approach.","We have a new way of looking at cycle time. Let’s talk about it.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749671258/Blog/Hero%20Images/just-commit-blog-cover.png","https://about.gitlab.com/blog/reduce-cycle-time","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"Want to reduce cycle time? Commit to a new approach.\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Suri Patel\"}],\n        \"datePublished\": \"2019-03-04\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21},[18],"Suri Patel","2019-03-04","\nTraditionally, software leaders use `cycle time` to refer to [the time between\nstarting and delivering software](https://www.isixsigma.com/tools-templates/software/software-projects-cycle-time-%E2%90%98are-we-there-yet%E2%90%99/).\nMore specifically, it's the time between an engineer beginning work on an\nissue/feature and when that code is finally deployed to production and accessible\nto users. Historically, this definition has arisen from a siloed view of software\ndevelopment. Engineering leaders talk about the cycle time that affects engineering,\nbut they don't include the planning cycle time that the PMO contributed before\nthe project was handed off to the engineering org. Ultimately, this widely accepted\ndefinition of cycle time doesn't fully capture every stage of the software development lifecycle.\n\nWe've seen how powerful it can be when teams collaborate rather than work in silos,\nso we recommend including the planning stage when measuring cycle time. By measuring\ncycle time in this way, you capture the full efficiency of your end-to-end process,\nwhich can help you focus on finding and fixing inefficiencies across the full\nlifecycle of your software – not just one part of it.\n\n## A new perspective on cycle time\n\n{::options parse_block_html=\"true\" /}\n\n\u003Cdiv class=\"panel panel-success\">\n\n**CYCLE TIME**\n{: .panel-heading}\n\n\u003Cdiv class=\"panel-body\">\n\n/ˈsīk(ə)l/ /tīm\n\n_noun_\n\n1. The elapsed time between starting to work on an idea and delivering to production.\n1. A determining factor in whether organizations can meet business demands while delivering value to customers.\n\n\u003C/div>\n\u003C/div>\n\n{::options parse_block_html=\"false\" /}\n\nThis new understanding of cycle time covers the entire software development\nlifecycle and accounts for the time invested in planning what actions\nto take to ship an idea. The planning stage of the software development lifecycle\nis one of the most crucial components, because it builds the foundation for\nworkflows, project management, and resource allocation.\n\n>Cycle time is a metric that measures the amount of time in a process between the start,\nwhich often begins with an idea, and the end when it’s finally in the hands of customers.\n\nReducing cycle time is a competitive advantage, and this new perspective enables\nteams to take an end-to-end approach to rapid delivery.\n\n## Why you should reduce cycle time\n\nSince software touches nearly every aspect of daily life, reducing the time\nbetween thinking of an idea and having the code in production is vital to\nproviding value to customers. Maintaining velocity is an important step in\nlistening to customers and meeting business demands. Because the market moves\nso quickly, organizations must find ways to simplify processes to empower teams\nto focus on delivering value to customers faster. When teams aren’t picking\nthrough tangled processes, they can quickly ship code and innovate to create\nfeatures that customers want.\n\n>“Cycle time compression may be the most underestimated force in determining winners and losers in tech.” — [Marc Andreessen](https://medium.com/digital-customer-experience/the-untapped-creative-potential-of-big-data-39dfe1916d07)\n\nWhen organizations experience long cycle time, they risk losing market share.\nSince competitors are faster to market and can rapidly respond to customer\nneeds, organizations with slow cycle time are left behind to perfect the\npast needs of users. Organizations face lost revenue and opportunities,\nsince they’re unable to react quickly to changing market needs. A build-up of\ntechnical debt and rising costs make problems worse, and organizations are\nforced to play catch-up with their competitors.\n\nOrganizations that rapidly deliver see an increase in the number of projects and\nbudgets that stay on track, with developers spending more time delivering new\nfunctionality rather than fixing defects, and faster response to constantly\nevolving customer needs.\n\nIf organizations want to differentiate their software and gain market share,\nreducing cycle time should be a business imperative.\n\n## How to start\n\nThere are several ways to reduce cycle time, but the two most immediate ways to\nrapidly see your ideas in the hands of customers is to increase visibility and\nadopt a CI/CD approach to development.\n\n### Visibility\n\nTeams require end-to-end visibility and traceability of issues\nthroughout the software development lifecycle – from idea to production – in\norder to ship features at the speed customers demand. An increase in visibility\nreduces silos and facilitates collaboration, ensuring that everyone is aware of\nwhat’s going on and where they’re needed. To give you an example of the power of\nvisibility, let's take a look at GitLab. If we calculated the average time to\ndeliver all the features in [11.8](/releases/2019/02/22/gitlab-11-8-released/), it would\nbe 250 days. With an increase in visibility, we're able to see that some features\nwe shipped took only 30 days, while others were in our backlog for three years.\nSince we're on a monthly release cadence, knowing that many of our features were\nstarted and delivered in 30 days helps us determine whether we're quickly\ndelivering value to our customers.\n\n### Continuous integration and continuous delivery\n\nQuickly delivering what customers\nwant requires a modernized software development lifecycle that saves time,\neffort, and cost. According to a 2017 Forrester Wave report, “CI enables software\ndevelopment teams to work collaboratively, without stepping on each other’s toes,\nby automating builds and source code integration to maintain source code integrity.”\nA [continuous delivery](/topics/ci-cd/) approach automates testing and deployment capabilities so\nthat software can be developed and deployed rapidly and reliably.\n\nAre you ready to reduce cycle time? **[Just commit](/blog/strategies-to-reduce-cycle-times/)**.\n","insights",{"slug":23,"featured":6,"template":24},"reduce-cycle-time","BlogPost","content:en-us:blog:reduce-cycle-time.yml","yaml","Reduce Cycle 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