[{"data":1,"prerenderedAt":715},["ShallowReactive",2],{"/en-us/blog/feature-preview-introducing-cycle-analytics/":3,"navigation-en-us":32,"banner-en-us":460,"footer-en-us":477,"Erica Lindberg":687,"next-steps-en-us":700},{"_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/feature-preview-introducing-cycle-analytics","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"Feature Preview: Introducing Cycle Analytics","Cycle Analytics allows you to measure the time it takes you to move from idea to production!","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749683600/Blog/Hero%20Images/data.png","https://about.gitlab.com/blog/feature-preview-introducing-cycle-analytics","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"Feature Preview: Introducing Cycle Analytics\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Erica Lindberg\"}],\n        \"datePublished\": \"2016-09-16\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21},[18],"Erica Lindberg","2016-09-16","\n{::options parse_block_html=\"true\" /}\n\n\u003Cp  class=\"alert alert-orange\" style=\"background-color: rgba(252,163,38,.3);\n    border-color: rgba(252,163,38,.3); color: rgb(226,67,41) !important; text-align: center;\">\n    \u003Ci class=\"fab fa-gitlab\" style=\"color:rgb(226,67,41); font-size:.85em\" aria-hidden=\"true\">\u003C/i>\n      \n    [Join us for our next release webcast][webcast-registration]{: .purple} on September 29 to\n    learn more about Cycle Analytics and our upcoming GitLab 8.12!\n      \u003Ci class=\"fab fa-gitlab\" style=\"color:rgb(107,79,187); font-size:.85em\" aria-hidden=\"true\">\u003C/i>\n\u003C/p>\n\nTime to market is quickly becoming one of the most important, competitive factors \nfor software development companies. However, development teams \naren't able to track cycle time, largely because there isn't an easy way to do it. \n\n*Cycle Analytics changes that.* It gives you the ability to measure how much time \nit takes to go [from an idea to production][idea-production] so you can monitor and improve overall cycle time for continuous improvement. \n\n\u003Cdiv class=\"panel panel-info\">\n\n**What Is Cycle Analytics?**\n{: .panel-heading}\n\n\u003Cdiv class=\"panel-body\">\n\nCycle Analytics measures the time it takes to go from an idea to production for each project you have. \nNot only do we indicate the total time it takes to achieve this, but we break this total time down \ninto the multiple stages an idea has to pass through to be shipped. \n\n\u003C/div>\n\u003C/div>\n\nCycle Analytics enables you to reduce your cycle time by helping you to identify which steps\nin the modern development cycle are slowing down your team. Our [vision][vision] is to bring you all 10 steps of the modern development cycle into one cohesive experience. \nFrom idea to production, you should be able to monitor the entire process in one place.\n[Check out this video][demo] to learn more about our product vision.\n\n![FROM IDEA TO PRODUCTION IN 10 STEPS](https://about.gitlab.com/images/blogimages/idea-to-production-10-steps.png)\n\n## How Does Cycle Analytics Help Teams Work Better?##\n\nIt's easy to think that you are shipping quickly as a team, but issues can get stuck \nat a specific stage. Without metrics and a high-level \noverview of progress, we just don't know how long it takes to move from stage to stage, making it much harder \nto identify *why* something stalled. \n\nCycle Analytics is a way to prevent this from happening by giving you the data you \nneed to make better decisions and work better as a team. With metrics to measure \nhow long it takes your team to move from idea to production, you can pinpoint areas \nof improvement and more accurately predict your releases. Many teams already measure\na portion of their workflow, such as how long they spend writing code, but Cycle Analytics\nallows you to see the entire flow from end-to-end, starting right at the idea stage. \n\nReducing cycle time is the competitive advantage of the future. In fact, it's the \nfirst principle of [Conversational Development][convdev]. Yet, few teams have cycle times of weeks, days, or even hours. \nThe goal should be to reach [maximum efficiency][tech-beacon]. 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