{"id":923,"date":"2026-02-25T10:26:54","date_gmt":"2026-02-25T10:26:54","guid":{"rendered":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/"},"modified":"2026-03-02T09:10:59","modified_gmt":"2026-03-02T09:10:59","slug":"ai-root-cause-analysis","status":"publish","type":"docs","link":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/","title":{"rendered":"Automation and AI-Assisted Root Cause Analysis"},"content":{"rendered":"<p>For years, I\u2019ve led teams through manual Fishbone sessions\u2014laborious, collaborative, and often limited by memory, bias, or incomplete data. Then I saw AI not as a replacement, but as a mirror\u2014reflecting deeper patterns we couldn\u2019t see.<\/p>\n<p>AI root cause analysis isn\u2019t about replacing human insight. It\u2019s about amplifying it. When paired with structured Fishbone frameworks, machine learning fishbone diagram tools transform raw data into visual cause clusters, revealing hidden connections in minutes rather than hours.<\/p>\n<p>You gain faster validation, stronger evidence-based conclusions, and the ability to test hypotheses at scale. This chapter shows how to use intelligent RCA tools, automate problem analysis, and keep your analysis grounded in real data\u2014not assumptions.<\/p>\n<h2>How AI Transforms Fishbone Analysis<\/h2>\n<p>Traditional Fishbone relies on group recall. That works\u2014until the problem has hundreds of potential inputs. AI changes that.<\/p>\n<p>By ingesting historical incident logs, system alerts, or customer feedback, AI models can pre-identify high-probability causes. They don\u2019t replace the team\u2014but they reduce the noise and guide brainstorming toward credible pathways.<\/p>\n<p>For example, in a software deployment issue, AI can analyze commit histories, error logs, and pipeline data to flag \u201cdatabase migration\u201d or \u201cdependency conflict\u201d as top suspects\u2014then map them directly into the Fishbone structure.<\/p>\n<h3>Key Benefits of AI-Enhanced RCA<\/h3>\n<ul>\n<li><strong>Faster root cause detection<\/strong> \u2013 AI processes data in seconds, reducing analysis time from hours to minutes.<\/li>\n<li><strong>Data-driven prioritization<\/strong> \u2013 Instead of guessing, you rank causes by frequency, severity, or recurrence.<\/li>\n<li><strong>Reduced cognitive bias<\/strong> \u2013 AI surfaces lesser-known patterns, avoiding groupthink or over-reliance on dominant voices.<\/li>\n<li><strong>Self-learning improvement<\/strong> \u2013 Each new analysis refines the model, making future AI support more accurate.<\/li>\n<\/ul>\n<h2>Integrating AI Tools into Your Fishbone Workflow<\/h2>\n<p>Start simple. Don\u2019t need a full AI platform. Use a smart template in a tool like Visual Paradigm, Microsoft Power BI, or even a Python script with scikit-learn.<\/p>\n<p>Here\u2019s a 4-step approach that I\u2019ve used in manufacturing, software, and customer support:<\/p>\n<ol>\n<li><strong>Collect and structure data<\/strong> \u2013 Gather logs, tickets, incident reports, or KPIs. Normalize text, tag categories, and timestamp events.<\/li>\n<li><strong>Run AI clustering or classification<\/strong> \u2013 Use NLP to group similar issues. Or train a model to classify root causes based on past cases.<\/li>\n<li><strong>Map results to Fishbone categories<\/strong> \u2013 Let AI suggest where each root cause fits: People, Process, Technology, Environment, etc.<\/li>\n<li><strong>Verify and refine with the team<\/strong> \u2013 AI gives you a starting point. The team validates, adds context, and confirms relevance.<\/li>\n<\/ol>\n<p>This hybrid model\u2014human judgment + AI insight\u2014delivers both rigor and speed.<\/p>\n<h3>Choosing the Right AI Tool<\/h3>\n<p>Not all AI tools are built for RCA. Here\u2019s what to look for:<\/p>\n<table>\n<tbody>\n<tr>\n<th>Feature<\/th>\n<th>For Beginners<\/th>\n<th>For Advanced Teams<\/th>\n<\/tr>\n<tr>\n<td>Pre-built RCA templates<\/td>\n<td>Yes \u2013 e.g., Visual Paradigm<\/td>\n<td>No \u2013 requires custom model training<\/td>\n<\/tr>\n<tr>\n<td>Natural language processing<\/td>\n<td>Yes \u2013 auto-summarizes incident reports<\/td>\n<td>Yes \u2013 detects root causes in unstructured text<\/td>\n<\/tr>\n<tr>\n<td>Integration with logging tools<\/td>\n<td>Basic (e.g., Splunk, Datadog)<\/td>\n<td>Full (APIs for real-time data ingestion)<\/td>\n<\/tr>\n<tr>\n<td>Explainability<\/td>\n<td>High \u2013 shows why a cause was flagged<\/td>\n<td>High \u2013 model transparency for audit<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Start with tools that offer explainability. You need to understand why AI flagged a cause\u2014especially when it contradicts team expectations.<\/p>\n<h2>Real-World Example: AI in a Software Deployment Failure<\/h2>\n<p>A DevOps team was stuck: deployments kept failing after 3 a.m., but the logs showed no clear error.<\/p>\n<p>They used an automated problem analysis tool to scan 300 previous incidents. The AI flagged \u201cdependency conflict\u201d and \u201ctimezone mismatch in cron jobs\u201d as top patterns.<\/p>\n<p>They added these as new branches on their Fishbone diagram. The team then verified: Yes, a new library was released at 2 a.m. local time, but the cron job ran at 2 a.m. UTC\u2014off by 6 hours.<\/p>\n<p>Problem confirmed. Fix: Normalize all job times to UTC. Deployment stability improved by 92% within a week.<\/p>\n<h2>Limitations and When to Hold Back<\/h2>\n<p>AI isn\u2019t magic. It works best when the data is clean, labeled, and consistent. Garbage in, garbage out\u2014especially in machine learning fishbone diagram models.<\/p>\n<p>Don\u2019t use AI when:<\/p>\n<ul>\n<li>You\u2019re analyzing a brand-new problem with no historical data.<\/li>\n<li>The team lacks trust in the tool or can\u2019t verify AI suggestions.<\/li>\n<li>Root causes are deeply contextual\u2014like cultural issues in a team.<\/li>\n<\/ul>\n<p>AI should assist, not decide. The final call must remain with the human team.<\/p>\n<h2>Best Practices for AI-Driven Fishbone Analysis<\/h2>\n<p>Here\u2019s what I\u2019ve learned from mentoring teams:<\/p>\n<ol>\n<li><strong>Use AI as a filter, not a generator<\/strong> \u2013 It shouldn\u2019t invent causes. It should highlight likely ones.<\/li>\n<li><strong>Keep the Fishbone structure intact<\/strong> \u2013 AI helps populate it, but the logic and categories must stay valid.<\/li>\n<li><strong>Validate every AI suggestion<\/strong> \u2013 Never assume. Ask: \u201cWhy did it flag this? Can we test it?\u201d<\/li>\n<li><strong>Document AI inputs and outputs<\/strong> \u2013 This builds trust and supports audits.<\/li>\n<li><strong>Start small, scale fast<\/strong> \u2013 Run AI on one past incident first. Then expand to real-time monitoring.<\/li>\n<\/ol>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Can AI replace human teams in Fishbone analysis?<\/h3>\n<p>No. AI supports, not supplants, human judgment. It excels at pattern recognition and data processing, but only humans can interpret context, intent, and risk.<\/p>\n<h3>How accurate is machine learning fishbone diagram modeling?<\/h3>\n<p>Accuracy depends on data quality. With clean, labeled data, models can achieve 80\u201390% precision. But you still need human oversight to validate findings.<\/p>\n<h3>Do I need programming skills to use AI-assisted RCA tools?<\/h3>\n<p>No. Many tools offer no-code dashboards. But having basic data literacy helps. Learn SQL, JSON, or Python to deepen your control.<\/p>\n<h3>What if AI suggests a cause that conflicts with team experience?<\/h3>\n<p>That\u2019s a signal to investigate further. Use AI\u2019s suggestion as a hypothesis. Test it with logs, experiments, or interviews. Sometimes, AI reveals blind spots.<\/p>\n<h3>Is AI root cause analysis suitable for SMEs or startups?<\/h3>\n<p>Absolutely. Many affordable tools now offer AI-assisted RCA with minimal setup. Focus on one high-impact problem. Prove value before scaling.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For years, I\u2019ve led teams through manual Fishbone sessions\u2014laborious, collaborative, and often limited by memory, bias, or incomplete data. Then I saw AI not as a replacement, but as a mirror\u2014reflecting deeper patterns we couldn\u2019t see. AI root cause analysis isn\u2019t about replacing human insight. It\u2019s about amplifying it. When paired with structured Fishbone frameworks, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":920,"menu_order":2,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"doc_tag":[],"class_list":["post-923","docs","type-docs","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Root Cause Analysis Made Simple<\/title>\n<meta name=\"description\" content=\"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Root Cause Analysis Made Simple\" \/>\n<meta property=\"og:description\" content=\"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"Visual Paradigm Skills Deutsch\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-02T09:10:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data1\" content=\"5\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/\",\"url\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/\",\"name\":\"AI Root Cause Analysis Made Simple\",\"isPartOf\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#website\"},\"datePublished\":\"2026-02-25T10:26:54+00:00\",\"dateModified\":\"2026-03-02T09:10:59+00:00\",\"description\":\"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.\",\"breadcrumb\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/skills.visual-paradigm.com\/de\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Fishbone Diagram Fundamentals for Beginners\",\"item\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Tools, Templates, and Advanced Perspectives\",\"item\":\"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Automation and AI-Assisted Root Cause Analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#website\",\"url\":\"https:\/\/skills.visual-paradigm.com\/de\/\",\"name\":\"Visual Paradigm Skills Deutsch\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/skills.visual-paradigm.com\/de\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"de\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#organization\",\"name\":\"Visual Paradigm Skills Deutsch\",\"url\":\"https:\/\/skills.visual-paradigm.com\/de\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/skills.visual-paradigm.com\/de\/wp-content\/uploads\/sites\/4\/2026\/02\/favicon.svg\",\"contentUrl\":\"https:\/\/skills.visual-paradigm.com\/de\/wp-content\/uploads\/sites\/4\/2026\/02\/favicon.svg\",\"width\":70,\"height\":70,\"caption\":\"Visual Paradigm Skills Deutsch\"},\"image\":{\"@id\":\"https:\/\/skills.visual-paradigm.com\/de\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI Root Cause Analysis Made Simple","description":"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/","og_locale":"de_DE","og_type":"article","og_title":"AI Root Cause Analysis Made Simple","og_description":"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.","og_url":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/","og_site_name":"Visual Paradigm Skills Deutsch","article_modified_time":"2026-03-02T09:10:59+00:00","twitter_card":"summary_large_image","twitter_misc":{"Gesch\u00e4tzte Lesezeit":"5\u00a0Minuten"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/","url":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/","name":"AI Root Cause Analysis Made Simple","isPartOf":{"@id":"https:\/\/skills.visual-paradigm.com\/de\/#website"},"datePublished":"2026-02-25T10:26:54+00:00","dateModified":"2026-03-02T09:10:59+00:00","description":"Discover how AI root cause analysis accelerates Fishbone diagram creation, turning manual problem solving into a data-driven process. Learn how intelligent RCA tools and automated problem analysis enhance accuracy and speed.","breadcrumb":{"@id":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/#breadcrumb"},"inLanguage":"de","potentialAction":[{"@type":"ReadAction","target":["https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/ai-root-cause-analysis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/skills.visual-paradigm.com\/de\/"},{"@type":"ListItem","position":2,"name":"Fishbone Diagram Fundamentals for Beginners","item":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/"},{"@type":"ListItem","position":3,"name":"Tools, Templates, and Advanced Perspectives","item":"https:\/\/skills.visual-paradigm.com\/de\/docs\/fishbone-diagram-fundamentals-for-beginners\/digital-fishbone-diagram-tools\/"},{"@type":"ListItem","position":4,"name":"Automation and AI-Assisted Root Cause Analysis"}]},{"@type":"WebSite","@id":"https:\/\/skills.visual-paradigm.com\/de\/#website","url":"https:\/\/skills.visual-paradigm.com\/de\/","name":"Visual Paradigm Skills Deutsch","description":"","publisher":{"@id":"https:\/\/skills.visual-paradigm.com\/de\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/skills.visual-paradigm.com\/de\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"de"},{"@type":"Organization","@id":"https:\/\/skills.visual-paradigm.com\/de\/#organization","name":"Visual Paradigm Skills Deutsch","url":"https:\/\/skills.visual-paradigm.com\/de\/","logo":{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/skills.visual-paradigm.com\/de\/#\/schema\/logo\/image\/","url":"https:\/\/skills.visual-paradigm.com\/de\/wp-content\/uploads\/sites\/4\/2026\/02\/favicon.svg","contentUrl":"https:\/\/skills.visual-paradigm.com\/de\/wp-content\/uploads\/sites\/4\/2026\/02\/favicon.svg","width":70,"height":70,"caption":"Visual Paradigm Skills Deutsch"},"image":{"@id":"https:\/\/skills.visual-paradigm.com\/de\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/docs\/923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":1,"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/docs\/923\/revisions"}],"predecessor-version":[{"id":2412,"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/docs\/923\/revisions\/2412"}],"up":[{"embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/docs\/920"}],"wp:attachment":[{"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/media?parent=923"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/skills.visual-paradigm.com\/de\/wp-json\/wp\/v2\/doc_tag?post=923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}