{"id":18,"date":"2026-07-21T10:07:47","date_gmt":"2026-07-21T10:07:47","guid":{"rendered":"https:\/\/prequake.ai\/resources\/?p=18"},"modified":"2026-08-01T14:35:22","modified_gmt":"2026-08-01T14:35:22","slug":"the-5c-readiness-model-explained","status":"publish","type":"post","link":"https:\/\/prequake.ai\/resources\/the-5c-readiness-model-explained\/","title":{"rendered":"The 5C Readiness Model, Explained"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Ask most organizations how ready they are for a transformation and you&#8217;ll get a single number back \u2014 a readiness score, an engagement percentage, a color on a dashboard. The number feels precise. It&#8217;s usually hiding more than it reveals.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A blended score can&#8217;t tell you whether a team is unready because they don&#8217;t understand the plan, don&#8217;t believe in it, don&#8217;t have the skills for it, don&#8217;t have the time for it, or because their own leadership can&#8217;t agree on what it actually is. Those are five completely different problems. Averaging them into one figure doesn&#8217;t make the picture clearer \u2014 it makes the wrong fix equally likely as the right one.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That&#8217;s the reasoning behind scoring readiness across five separate dimensions instead of one. We call it the 5C model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The five dimensions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Clarity<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do people understand <em>why<\/em> this change is happening \u2014 not the slide-deck version, the version they&#8217;d repeat to a colleague in their own words. Low clarity usually isn&#8217;t a knowledge problem; it&#8217;s a communication design problem, and it&#8217;s the cheapest of the five to fix once it&#8217;s actually identified.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Conviction<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do they believe it&#8217;s the right call \u2014 for the organization, and specifically for them. A team can score high on clarity and low on conviction: they understand exactly what&#8217;s changing and disagree with it anyway. That&#8217;s a very different intervention than a team that&#8217;s simply confused.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Capability<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do they have the actual skills the change requires. This is the dimension most often assumed rather than checked \u2014 a rollout plan says &#8220;training will be provided,&#8221; which is a plan for capability, not a measurement of it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Capacity<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do they have the time and headcount to take this on, on top of what they&#8217;re already doing. High conviction and high capability don&#8217;t matter much if a team is already at 110% and the transformation is one more thing with no corresponding subtraction.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Cohesion<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Do leaders and teams agree with each other about what&#8217;s actually happening. This is the dimension most likely to be quietly wrong while every other signal looks fine \u2014 see our piece on <a href=\"https:\/\/prequake.ai\/resources\/why-executive-sponsorship-alone-isnt-enough\/\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-luminous-vivid-amber-color\">why executive sponsorship alone isn&#8217;t enough<\/mark><\/a> for what this looks like in practice.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why five, not one<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The value of separating these isn&#8217;t academic \u2014 it&#8217;s that each one points to a different fix. Low clarity gets solved with better communication. Low capability gets solved with training. Low capacity gets solved by removing something else from a team&#8217;s plate, or slowing the timeline. Low cohesion gets solved by talking to leaders individually rather than in a room together, since a shared room tends to produce a polite consensus that private conversations don&#8217;t.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A single blended readiness score can be identical for a team that&#8217;s confused but capable, and a team that&#8217;s clear-eyed but overloaded. The intervention for one would actively waste time on the other.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Scoring it per team, not once for the whole organization<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The other reason a single organization-wide number tends to mislead: readiness is rarely uniform. One department can be genuinely ready while another, doing fundamentally different work under a different manager, is not \u2014 and a rollout sequenced without that visibility often launches everywhere at once, discovering the gap only after the fact in the location where it was actually present all along.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scoring each of the five dimensions per team or department, rather than once for the whole company, is what turns a readiness assessment from a temperature check into something a leadership team can actually act on before launch \u2014 which department goes first, which one needs an extra two weeks, which manager needs support before their team does.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ask most organizations how ready they are for a transformation and you&#8217;ll get a single number back \u2014 a readiness score, an engagement percentage, a color\u2026<\/p>\n","protected":false},"author":1,"featured_media":19,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-18","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-frameworks"],"_links":{"self":[{"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/posts\/18","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/comments?post=18"}],"version-history":[{"count":2,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/posts\/18\/revisions"}],"predecessor-version":[{"id":21,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/posts\/18\/revisions\/21"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/media\/19"}],"wp:attachment":[{"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/media?parent=18"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/categories?post=18"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prequake.ai\/resources\/wp-json\/wp\/v2\/tags?post=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}