


{"id":707,"date":"2019-10-05T23:55:13","date_gmt":"2019-10-05T23:55:13","guid":{"rendered":"https:\/\/alminawi.com\/?p=707"},"modified":"2025-12-07T18:21:35","modified_gmt":"2025-12-07T18:21:35","slug":"tts-series-b-logical-and-analytical-techniques-episode-06-apollo-root-cause-analysis","status":"publish","type":"post","link":"https:\/\/e.americanpro.org\/?p=707","title":{"rendered":"T&#038;Ts Series B, Logical and Analytical Techniques, Episode 06: Apollo Root Cause Analysis"},"content":{"rendered":"<article class=\"text-token-text-primary w-full\" dir=\"auto\" data-testid=\"conversation-turn-54\" data-scroll-anchor=\"true\">\n<div class=\"text-base my-auto mx-auto py-5 [--thread-content-margin:--spacing(4)] @[37rem]:[--thread-content-margin:--spacing(6)] @[72rem]:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:32rem] @[34rem]:[--thread-content-max-width:40rem] @[64rem]:[--thread-content-max-width:48rem] mx-auto flex max-w-(--thread-content-max-width) flex-1 text-base gap-4 md:gap-5 lg:gap-6 group\/turn-messages focus-visible:outline-hidden\" tabindex=\"-1\">\n<div class=\"group\/conversation-turn relative flex w-full min-w-0 flex-col agent-turn\">\n<div class=\"relative flex-col gap-1 md:gap-3\">\n<div class=\"flex max-w-full flex-col grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"8cef5a21-446b-4b67-b06e-fda8a1ad49b1\" data-message-model-slug=\"gpt-4o\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\">\n<div class=\"markdown prose dark:prose-invert w-full break-words light\">\n<h3 data-start=\"99\" data-end=\"130\">\ud83d\udee0 Introduction to the Tool<\/h3>\n<p data-start=\"132\" data-end=\"592\"><strong data-start=\"132\" data-end=\"169\">Apollo Root Cause Analysis (ARCA)<\/strong> is a cause-and-effect-based problem-solving method that focuses on finding <strong data-start=\"245\" data-end=\"264\">systemic causes<\/strong>, rather than just symptoms. Unlike linear tools, ARCA embraces complexity, helping teams map out all contributing factors to a problem using an evidence-based logic tree. It is particularly valuable in <strong data-start=\"467\" data-end=\"489\">project management<\/strong> and <strong data-start=\"494\" data-end=\"512\">internal audit<\/strong>, where understanding interdependencies is key to sustainable corrective action.<\/p>\n<p data-start=\"594\" data-end=\"723\">The goal of Apollo RCA is not only to solve the problem, but to <strong data-start=\"658\" data-end=\"680\">prevent recurrence<\/strong> by addressing the full chain of causality.<\/p>\n<hr data-start=\"725\" data-end=\"728\" \/>\n<h3 data-start=\"730\" data-end=\"769\">\ud83e\udded Template for Applying Apollo RCA<\/h3>\n<p data-start=\"771\" data-end=\"802\">To apply the Apollo RCA method:<\/p>\n<ul data-start=\"804\" data-end=\"1256\">\n<li data-start=\"804\" data-end=\"880\">\n<p data-start=\"806\" data-end=\"880\"><strong data-start=\"806\" data-end=\"837\">Step 1 \u2013 Define the Problem<\/strong>: Clearly describe the undesirable outcome.<\/p>\n<\/li>\n<li data-start=\"881\" data-end=\"960\">\n<p data-start=\"883\" data-end=\"960\"><strong data-start=\"883\" data-end=\"912\">Step 2 \u2013 Collect Evidence<\/strong>: Gather data, documents, interviews, logs, etc.<\/p>\n<\/li>\n<li data-start=\"961\" data-end=\"1071\">\n<p data-start=\"963\" data-end=\"1071\"><strong data-start=\"963\" data-end=\"1006\">Step 3 \u2013 Build a Cause-and-Effect Chart<\/strong>: Connect conditions and actions that contributed to the outcome.<\/p>\n<\/li>\n<li data-start=\"1072\" data-end=\"1180\">\n<p data-start=\"1074\" data-end=\"1116\"><strong data-start=\"1074\" data-end=\"1115\">Step 4 \u2013 Identify Effective Solutions<\/strong>:<\/p>\n<ul data-start=\"1119\" data-end=\"1180\">\n<li data-start=\"1119\" data-end=\"1134\">\n<p data-start=\"1121\" data-end=\"1134\">Remove causes<\/p>\n<\/li>\n<li data-start=\"1137\" data-end=\"1156\">\n<p data-start=\"1139\" data-end=\"1156\">Modify conditions<\/p>\n<\/li>\n<li data-start=\"1159\" data-end=\"1180\">\n<p data-start=\"1161\" data-end=\"1180\">Strengthen controls<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"1181\" data-end=\"1256\">\n<p data-start=\"1183\" data-end=\"1256\"><strong data-start=\"1183\" data-end=\"1215\">Step 5 \u2013 Implement &amp; Monitor<\/strong>: Assign owners and track implementation.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1258\" data-end=\"1261\" \/>\n<h3 data-start=\"1263\" data-end=\"1323\">\ud83c\udfe2 Example: ACME Corp \u2013 Project Delay on Digital Rollout<\/h3>\n<p data-start=\"1325\" data-end=\"1508\">At <strong data-start=\"1328\" data-end=\"1336\">ACME<\/strong>, Internal Auditor <strong data-start=\"1355\" data-end=\"1364\">Auren<\/strong> was called to review a delayed digital rollout led by <strong data-start=\"1419\" data-end=\"1443\">Project Manager Aven<\/strong>. CEO <strong data-start=\"1449\" data-end=\"1458\">Liora<\/strong> requested a full review to avoid future overruns.<\/p>\n<p data-start=\"1510\" data-end=\"1527\">Using Apollo RCA:<\/p>\n<ul data-start=\"1528\" data-end=\"1933\">\n<li data-start=\"1528\" data-end=\"1667\">\n<p data-start=\"1530\" data-end=\"1667\">Auren mapped the root cause tree: The delay (problem) was caused by delayed testing (action) + underestimated resource needs (condition).<\/p>\n<\/li>\n<li data-start=\"1668\" data-end=\"1796\">\n<p data-start=\"1670\" data-end=\"1796\">Further back, resource underestimation stemmed from vague scoping, and testing delays were worsened by unclear task ownership.<\/p>\n<\/li>\n<li data-start=\"1797\" data-end=\"1933\">\n<p data-start=\"1799\" data-end=\"1933\">Recommendations included improving scope definition workshops, assigning test leads early, and revising the resource estimation model.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1935\" data-end=\"1938\" \/>\n<p data-start=\"1940\" data-end=\"2179\" data-is-last-node=\"\" data-is-only-node=\"\"><strong data-start=\"1940\" data-end=\"1954\">Conclusion<\/strong>:<br data-start=\"1955\" data-end=\"1958\" \/>Apollo RCA helped Auren and the ACME team <strong data-start=\"2000\" data-end=\"2035\">visualize interconnected causes<\/strong> and identify fixes that improved both planning and execution. This tool supports strong, logic-based decisions in complex project environments.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"flex min-h-[46px] justify-start\">\n<div class=\"touch:-me-2 touch:-ms-3.5 -ms-2.5 -me-1 flex flex-wrap items-center gap-y-4 p-1 select-none touch:w-[calc(100%+--spacing(3.5))] -mt-1 w-[calc(100%+--spacing(2.5))] duration-[1.5s] focus-within:transition-none hover:transition-none pointer-events-none [mask-image:linear-gradient(to_right,black_33%,transparent_66%)] [mask-size:300%_100%] [mask-position:100%_0%] motion-safe:transition-[mask-position] group-hover\/turn-messages:pointer-events-auto group-hover\/turn-messages:[mask-position:0_0] group-focus-within\/turn-messages:pointer-events-auto group-focus-within\/turn-messages:[mask-position:0_0] has-data-[state=open]:pointer-events-auto has-data-[state=open]:[mask-position:0_0]\">\n<p>&nbsp;<\/p>\n<div class=\"flex items-center\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mt-3 w-full empty:hidden\">\n<div class=\"text-center\"><\/div>\n<\/div>\n<\/div>\n<div class=\"absolute\">\n<div class=\"flex items-center justify-center\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<div class=\"pointer-events-none h-px w-px\" aria-hidden=\"true\" data-edge=\"true\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udee0 Introduction to the Tool Apollo Root Cause Analysis (ARCA) is a cause-and-effect-based problem-solving method that focuses on finding systemic causes, rather than just symptoms. Unlike linear tools, ARCA embraces complexity, helping teams map out all contributing factors to a problem using an evidence-based logic tree. It is particularly valuable in project management and internal [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1026,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[12,22],"tags":[],"class_list":["post-707","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-project-management","category-tt-internal-audit"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/e.americanpro.org\/wp-content\/uploads\/2021\/03\/18-e1750016273976.avif","_links":{"self":[{"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/posts\/707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=707"}],"version-history":[{"count":1,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/posts\/707\/revisions"}],"predecessor-version":[{"id":1320,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/posts\/707\/revisions\/1320"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=\/wp\/v2\/media\/1026"}],"wp:attachment":[{"href":"https:\/\/e.americanpro.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e.americanpro.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}