{"id":7345,"date":"2022-03-28T03:33:24","date_gmt":"2022-03-28T03:33:24","guid":{"rendered":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/?post_type=article&#038;p=7345"},"modified":"2024-10-18T11:14:10","modified_gmt":"2024-10-18T11:14:10","slug":"cycle-time-distribution","status":"publish","type":"article","link":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/cycle-time-distribution\/","title":{"rendered":"Cycle Time Distribution"},"content":{"rendered":"<p>Start with the video first to get a better grasp of the topic!<br \/>\n<iframe loading=\"lazy\" title=\"Learn to Plot Cycle Time Distribution Widget\" src=\"https:\/\/player.vimeo.com\/video\/988399545?dnt=1&amp;app_id=122963\" width=\"500\" height=\"269\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write\"><\/iframe><\/p>\n<table style=\"line-height: 10px; height: 77px; width: 99.2704%; border-collapse: collapse; background-color: #f7f7f7;\">\n<tbody>\n<tr style=\"height: 108px;\">\n<td style=\"width: 100%; height: 77px;\">\n<p style=\"text-align: left;\"><strong>Skip Ahead to:<\/strong><\/p>\n<p style=\"line-height: 10px; text-align: left;\"><a href=\"#Overview\">Overview<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#Configuration\">Configuration<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#Interpretation\">Interpretation<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><a id=\"Overview\"><\/a>Overview<\/h2>\n<p class=\"whs1\">Cycle Time Distribution charts are histograms showing the frequency distribution of cards.<\/p>\n<p class=\"whs1\">The distribution chart also enables you to view the troubled cards\/exceptions. The number of cards or the percentages of cards that fall in ranges beyond the Upper Control Limit (UCL) is indicated as red bars. Check out the UCL calculation in the Cycle Time Control Chart section.<\/p>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/CTD1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-9480\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/CTD1.jpg\" alt=\"\" width=\"535\" height=\"409\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/CTD1.jpg 535w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/CTD1-300x229.jpg 300w\" sizes=\"(max-width: 535px) 100vw, 535px\" \/><\/a><\/p>\n<h2><a id=\"Configuration\"><\/a>Configuration<\/h2>\n<p class=\"whs1\">To configure a Cycle Time Distribution Chart, perform the following steps &#8211;<\/p>\n<p class=\"whs1\">1. Click the\u00a0<b>Add Widget<\/b>\u00a0icon on the Analytics page. The Analytics Builder appears.<\/p>\n<p class=\"whs1\">2. Click the\u00a0<b>SKIP<\/b>\u00a0button at the bottom right of the Analytics Builder to see the\u00a0<b>Standard Widgets<\/b>\u00a0screen.<\/p>\n<p class=\"whs1\">3. From the\u00a0<b>Lean Analytics<\/b>\u00a0section, click the Cycle Time Distribution Chart. The\u00a0<b>Settings<\/b>\u00a0page appears.<\/p>\n<p class=\"whs1\"><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/Settings_CTD.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-9551\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/Settings_CTD.jpg\" alt=\"\" width=\"903\" height=\"494\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/Settings_CTD.jpg 903w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/Settings_CTD-300x164.jpg 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/03\/Settings_CTD-768x420.jpg 768w\" sizes=\"(max-width: 903px) 100vw, 903px\" \/><\/a><\/p>\n<p class=\"whs1\"><span style=\"color: black;\">To plot the widget, \u00a0specify the following information:<\/span><\/p>\n<p class=\"whs1\"><b>Data Criteria<\/b><\/p>\n<ul class=\"whs4\" type=\"disc\">\n<li class=\"p\">\n<p class=\"whs5\">Workitem type:\u00a0Select the values based on your requirement.<\/p>\n<\/li>\n<li class=\"p\">\n<p class=\"whs6\"><b>Start Date and End Date<\/b>: Select both these dates from the calendar to limit the scope of data.<\/p>\n<\/li>\n<li class=\"p\">\n<p class=\"whs6\"><b>Select Filter:<\/b>\u00a0Select or create a filter to apply on the specified data.<\/p>\n<\/li>\n<li class=\"p\">\n<p class=\"whs1\"><b>Lane<\/b>: \u00a0Select the lane from the list box for which you want to plot the chart.<\/p>\n<\/li>\n<li class=\"p\">\n<p class=\"whs1\"><b>From<\/b>\u00a0and<b>To Column:<\/b>\u00a0Select the exact stages for which you want to generate by defining the Start Column and End Column.<\/p>\n<\/li>\n<\/ul>\n<p class=\"whs1\"><b>Dimensions and Settings<\/b><\/p>\n<ul class=\"whs4\" type=\"disc\">\n<li class=\"p\">\n<p class=\"whs1\"><b>Y Axis (Card Data):<\/b>\u00a0Select the unit of measurement (Hours\/Days\/Weeks) for Cycle Time to be scaled on the Y-axis in the chart.<\/p>\n<\/li>\n<li class=\"p\">\n<p class=\"whs1\"><b>X Axis (Cycle Time):<\/b>\u00a0Snapshot of time (Daily, Weekly, Monthly, and Quarterly) for Analytics to be rolled up or unrolled on the X-axis of the chart.<\/p>\n<\/li>\n<\/ul>\n<p class=\"whs7\"><b>Note<\/b>: If you select the Time Period as Weekly, then the week is considered from Sunday to Saturday.<\/p>\n<h2><a id=\"Interpretation\"><\/a>Interpretation<\/h2>\n<p class=\"whs1\">The frequency ranges are generated based on the actual Analytics (for example, average Cycle Time in the Cycle Time Distribution chart) rounded off to the nearest digit.<\/p>\n<p class=\"whs1\"><a id=\"Video\"><\/a>The height of the bars represents the count of cards\/% of cards. On hovering over a bar, the tooltip displays the metric value and the count of cards \/ % of cards.<\/p>\n<p class=\"whs1\">The red bar indicates outliers in the range i.e. cards that are beyond the UCL of the metric value. If there are multiple numbers of cards or the % is high, your process needs a change.<\/p>\n<div class=\"helpful-block-content wth-theme-thumbs\" data-title=\"\" >\n<ul>\n<li><span class=\"wth-title\">Was this helpful?<\/span><\/li>\n<li><a data-post=\"7345\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/cycle-time-distribution\/\" data-post-title=\"Cycle Time Distribution\" data-response=\"1\" href=\"#\" class=\"wth-green-btn icon-thumbsup\">Yes<\/a>&nbsp; &nbsp;<a data-response=\"0\" data-post=\"7345\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/cycle-time-distribution\/\" data-post-title=\"Cycle Time Distribution\" href=\"#\" class=\"wth-red-btn icon-thumbsdown\">No<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","multi-rating":{"mr_rating_results":[]},"_links":{"self":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7345"}],"collection":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/comments?post=7345"}],"version-history":[{"count":13,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7345\/revisions"}],"predecessor-version":[{"id":19813,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7345\/revisions\/19813"}],"wp:attachment":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/media?parent=7345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}