{
    "id": 4206,
    "date": "2026-07-24T00:30:12",
    "date_gmt": "2026-07-24T00:30:12",
    "guid": {
        "rendered": "https:\/\/fullyops.com\/what-is-root-cause-analysis\/"
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    "modified": "2026-07-24T00:30:15",
    "modified_gmt": "2026-07-24T00:30:15",
    "slug": "what-is-root-cause-analysis",
    "status": "publish",
    "type": "post",
    "link": "https:\/\/fullyops.com\/es\/?p=4206",
    "title": {
        "rendered": "Root cause analysis: a complete guide for professionals"
    },
    "content": {
        "rendered": "<div id=\"bsf_rt_marker\"><\/div><\/p>\n<h2 id=\"what-is-root-cause-analysis\">What is root cause analysis?<\/h2>\n<p>Root cause analysis (RCA) is a <a href=\"https:\/\/asq.org\/quality-resources\/root-cause-analysis\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">structured, data-driven approach<\/a> used to identify the fundamental causes of a problem, rather than addressing its surface symptoms. The goal is not simply to fix what went wrong today, but to understand <em>why<\/em> it went wrong so it cannot happen again. Applied across manufacturing, healthcare, IT, and field operations, RCA gives organisations a repeatable method for turning failures into lasting improvements.<\/p>\n<p>The distinction between a root cause and a symptom is the foundation of the entire process. A machine that keeps overheating is a symptom. The root cause might be a blocked coolant line, an undersized component, or a maintenance schedule that was never updated. Fix only the symptom, and the problem returns.<\/p>\n<p>Key elements of root cause analysis:<\/p>\n<ul>\n<li><strong>Problem definition:<\/strong> A clear, specific statement of what went wrong, when, and under what conditions<\/li>\n<li><strong>Data collection:<\/strong> Gathering evidence, records, and observations before drawing any conclusions<\/li>\n<li><strong>Causal factor identification:<\/strong> Mapping all contributing elements that influenced the outcome<\/li>\n<li><strong>Root cause determination:<\/strong> Pinpointing the fundamental issue whose removal stops recurrence<\/li>\n<li><strong>Corrective action:<\/strong> Developing and implementing targeted solutions<\/li>\n<li><strong>Monitoring:<\/strong> Verifying that the fix holds over time<\/li>\n<\/ul>\n<h2 id=\"table-of-contents\">\u00cdndice<\/h2>\n<ul>\n<li><a href=\"#why-organisations-perform-rca-goals-and-benefits\">Why organisations perform RCA: goals and benefits<\/a><\/li>\n<li><a href=\"#core-principles-that-guide-effective-root-cause-analysis\">Core principles that guide effective root cause analysis<\/a><\/li>\n<li><a href=\"#which-methodologies-and-tools-does-rca-use\">Which methodologies and tools does RCA use?<\/a><\/li>\n<li><a href=\"#how-to-perform-root-cause-analysis-a-step-by-step-process\">How to perform root cause analysis: a step-by-step process<\/a><\/li>\n<li><a href=\"#rca-in-practice-examples-from-manufacturing-healthcare-and-it\">RCA in practice: examples from manufacturing, healthcare, and IT<\/a><\/li>\n<li><a href=\"#best-practices-for-successful-root-cause-analysis\">Best practices for successful root cause analysis<\/a><\/li>\n<li><a href=\"#common-challenges-and-pitfalls-in-root-cause-analysis\">Common challenges and pitfalls in root cause analysis<\/a><\/li>\n<li><a href=\"#how-to-prioritise-root-causes-after-analysis\">How to prioritise root causes after analysis<\/a><\/li>\n<li><a href=\"#how-to-implement-and-monitor-corrective-actions-post-rca\">How to implement and monitor corrective actions post-RCA<\/a><\/li>\n<li><a href=\"#key-takeaways\">Principales conclusiones<\/a><\/li>\n<li><a href=\"#faq\">PREGUNTAS FRECUENTES<\/a><\/li>\n<\/ul>\n<h2 id=\"why-organisations-perform-rca-goals-and-benefits\">Why organisations perform RCA: goals and benefits<\/h2>\n<p>The primary goal of RCA is risk reduction and system reliability, shifting organisations away from reactive firefighting towards proactive process management. That shift has measurable consequences for cost, safety, and operational continuity.<\/p>\n<p><strong>Key goals:<\/strong><\/p>\n<ul>\n<li>Prevent problem recurrence by eliminating root causes, not just causal factors<\/li>\n<li>Build systemic understanding of how processes fail under real conditions<\/li>\n<li>Support continuous improvement by feeding findings back into operational standards<\/li>\n<li>Reduce compliance risk by demonstrating documented, evidence-based corrective action<\/li>\n<\/ul>\n<p><strong>Benefits organisations typically realise:<\/strong><\/p>\n<ul>\n<li><strong>Cost savings:<\/strong> Fewer repeat failures mean lower repair costs, less unplanned downtime, and reduced waste<\/li>\n<li><strong>Improved safety:<\/strong> Identifying hazardous conditions before they cause harm, particularly in high-risk environments such as manufacturing plants or healthcare facilities<\/li>\n<li><strong>Enhanced quality:<\/strong> Addressing process weaknesses at their source produces more consistent outputs<\/li>\n<li><strong>Regulatory compliance:<\/strong> Documented RCA findings satisfy audit requirements in sectors governed by ISO standards, OSHA regulations, or NHS frameworks<\/li>\n<li><strong>Cultural shift:<\/strong> Teams that practise RCA regularly develop a habit of asking \u201cwhy\u201d rather than accepting recurring problems as normal<\/li>\n<\/ul>\n<p><a href=\"https:\/\/online.hbs.edu\/blog\/post\/root-cause-analysis\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">RCA is a critical leadership skill<\/a> for understanding shifting operational conditions and confirming that corrective efforts are both relevant and sustainable.<\/p>\n<h2 id=\"core-principles-that-guide-effective-root-cause-analysis\">Core principles that guide effective root cause analysis<\/h2>\n<p>RCA works when it is conducted with discipline and objectivity. Without these principles, even the most thorough investigation can produce misleading conclusions.<\/p>\n<ul>\n<li><strong>Focus on systems, not individuals:<\/strong> Effective RCA targets process and system failures, not personal blame. A blame-free environment encourages honest reporting and open investigation.<\/li>\n<li><strong>Distinguish root causes from causal factors:<\/strong> Causal factors are contributing elements that influenced the outcome; root causes are the fundamental issues whose removal stops recurrence. Fixing causal factors alone may reduce severity but rarely prevents the problem from returning.<\/li>\n<li><strong>Ground findings in evidence:<\/strong> Every conclusion must be supported by data, observations, or documented records. Assumptions without evidence produce unreliable results.<\/li>\n<li><strong>Involve the right people:<\/strong> Cross-functional teams bring diverse perspectives that a single analyst will miss. Stakeholders who understand the process from different angles surface causes that would otherwise remain hidden.<\/li>\n<li><strong>Maintain objectivity:<\/strong> Confirmation bias, where investigators unconsciously seek evidence that supports an existing theory, is one of the most common reasons RCA fails. Structured methods counteract this tendency.<\/li>\n<li><strong>Document everything:<\/strong> A well-documented RCA creates an organisational record that informs future investigations and supports compliance reporting.<\/li>\n<\/ul>\n<p>Embedding RCA in a continuous improvement workflow, alongside a blame-free culture, significantly increases the likelihood that findings translate into lasting change.<\/p>\n<h2 id=\"which-methodologies-and-tools-does-rca-use\">Which methodologies and tools does RCA use?<\/h2>\n<p>Several established methods exist, each suited to different problem types and organisational contexts. Choosing the right one depends on the complexity of the problem, the data available, and the team\u2019s familiarity with the technique.<\/p>\n<p><strong>5 Whys technique<\/strong><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/csuxjmfbwmkxiegfpljm.supabase.co\/storage\/v1\/object\/public\/blog-images\/organization-13009\/1784671490335_Infographic-outlining-root-cause-analysis-steps.jpeg\" alt=\"Infographic outlining root cause analysis steps\"><\/p>\n<p>The simplest and most widely used method. You ask \u201cwhy\u201d repeatedly, typically five times, until you reach a cause that cannot be traced back to another process failure. It works well for straightforward problems with a clear causal chain, and requires no specialist software. For instance: a production line stops. Why? A motor failed. Why? It overheated. Why? The cooling fan was blocked. Why? Debris had accumulated. Why? No cleaning schedule existed. The root cause is the absent maintenance procedure, not the blocked fan.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/csuxjmfbwmkxiegfpljm.supabase.co\/storage\/v1\/object\/public\/blog-images\/organization-13009\/1784671408845_Hands-marking-5-Whys-diagram-on-table.jpeg\" alt=\"Hands marking 5 Whys diagram on table\"><\/p>\n<p><strong>Fishbone (Ishikawa) diagram<\/strong><\/p>\n<p>A visual tool that maps potential causes across defined categories, commonly people, processes, equipment, materials, environment, and management. The problem sits at the \u201chead\u201d of the fish; contributing causes branch off the \u201cbones.\u201d This method excels when a problem has multiple potential causes and the team needs a structured way to organise and prioritise them. For HVAC technicians, for example, applying this approach to <a href=\"https:\/\/akita.ac\/blogs\/news\/commercial-hvac-troubleshooting-steps-a-technicians-guide\" target=\"_blank\" rel=\"noopener\">commercial HVAC troubleshooting<\/a> can surface equipment, environmental, and procedural causes simultaneously.<\/p>\n<p><strong>Fault tree analysis (FTA)<\/strong><\/p>\n<p>A top-down, logic-based diagram that works backwards from an undesired event to identify all possible causes and their relationships. FTA is particularly suited to safety-critical systems in aerospace, nuclear, and chemical industries, where understanding the combination of failures that leads to a catastrophic outcome is essential.<\/p>\n<p><strong>Failure mode and effects analysis (FMEA)<\/strong><\/p>\n<p>Rather than investigating a failure that has already occurred, FMEA anticipates potential failure modes before they happen and assesses their likelihood and impact. It is widely used in product design and manufacturing process planning.<\/p>\n<p><strong>Software and digital tools<\/strong><\/p>\n<p>Digital platforms can accelerate RCA by centralising data, automating data collection, and providing templates for structured analysis. Linking RCA findings directly to <a href=\"https:\/\/fullyops.com\/work-order-management-process-reduce-downtime\" target=\"_blank\" rel=\"noopener\">gesti\u00f3n de \u00f3rdenes de trabajo<\/a> systems means corrective actions can be assigned, tracked, and closed within the same workflow, reducing the gap between analysis and implementation.<\/p>\n<p><strong>Consejo profesional:<\/strong> <em>When selecting a method, match complexity to the tool. Use the 5 Whys for contained, single-cause problems. Reach for a Fishbone diagram or FTA when multiple departments or systems are involved.<\/em><\/p>\n<h2 id=\"how-to-perform-root-cause-analysis-a-step-by-step-process\">How to perform root cause analysis: a step-by-step process<\/h2>\n<p>The typical RCA process follows a structured sequence that keeps the investigation focused and the findings defensible.<\/p>\n<ol>\n<li>\n<p><strong>Define the problem clearly.<\/strong> Write a specific problem statement that describes what happened, when, where, and how often. Vague problem statements produce vague findings. \u201cMachine downtime increased\u201d is too broad; \u201cConveyor line 3 stopped three times in the week of 14 April due to motor failure\u201d gives the team something concrete to investigate.<\/p>\n<\/li>\n<li>\n<p><strong>Collect data and evidence.<\/strong> Gather maintenance logs, incident reports, sensor data, operator observations, and any other relevant records before the investigation begins. Evidence degrades quickly after an incident, so speed matters here.<\/p>\n<\/li>\n<li>\n<p><strong>Identify causal factors.<\/strong> Map all the conditions and events that contributed to the problem. Use a timeline or process map to establish sequence. This step is about breadth: capture everything that played a role, without yet judging which factors are most significant.<\/p>\n<\/li>\n<li>\n<p><strong>Determine the root cause.<\/strong> Apply your chosen methodology, whether the 5 Whys, Fishbone diagram, or FTA, to trace causal factors back to their origin. Look for the point at which a different decision or process would have prevented the entire chain of events.<\/p>\n<\/li>\n<li>\n<p><strong>Develop corrective actions.<\/strong> For each root cause identified, design a specific, measurable action. Assign ownership and a completion date. Actions that lack an owner rarely get implemented.<\/p>\n<\/li>\n<li>\n<p><strong>Implement and communicate.<\/strong> Execute the corrective actions and communicate the findings and changes to all relevant teams. Transparency here is not optional: people who were not part of the investigation need to understand what changed and why.<\/p>\n<\/li>\n<li>\n<p><strong>Monitor effectiveness.<\/strong> Track whether the problem recurs after implementation. Set a review date, typically 30, 60, or 90 days post-implementation, and assess whether the corrective action held. If the problem returns, the root cause determination may need revisiting.<\/p>\n<\/li>\n<\/ol>\n<h2 id=\"rca-in-practice-examples-from-manufacturing-healthcare-and-it\">RCA in practice: examples from manufacturing, healthcare, and IT<\/h2>\n<p>RCA is not a theoretical exercise. Across industries, it produces concrete, measurable improvements when applied consistently.<\/p>\n<p><strong>Manufacturing: recurring equipment failure<\/strong><\/p>\n<p>A food processing facility experienced repeated conveyor belt failures every six to eight weeks. Initial responses replaced the belt each time, but the failures continued. An RCA using the 5 Whys revealed that the belt was being overloaded during peak production shifts because operators had not been informed of the equipment\u2019s rated capacity. The root cause was a gap in operator training, not a defective component. Once training was updated and load limits were posted at the line, failures stopped.<\/p>\n<p><strong>Healthcare: medication administration errors<\/strong><\/p>\n<p>A hospital trust recorded a cluster of medication dosage errors over a three-month period. A Fishbone diagram mapped causes across people, processes, and environment. The investigation found that the primary root cause was an ambiguous labelling convention on two similarly named drugs stored adjacent to each other. Relabelling, physical separation of the drugs, and a revised dispensing checklist eliminated the error pattern within the following quarter.<\/p>\n<p><strong>IT: repeated system outages<\/strong><\/p>\n<p>An IT operations team faced monthly outages on a customer-facing platform. Each time, the immediate fix was a server restart. RCA using fault tree analysis traced the outages to a memory leak in a third-party integration that had never been load-tested under peak traffic conditions. The root cause was a gap in the release testing protocol. Updating the protocol to include load testing under realistic conditions resolved the issue permanently.<\/p>\n<p><strong>Consejo profesional:<\/strong> <em>RCA applies equally to unexpected successes. If a process performed exceptionally well, analysing why it worked helps you replicate those conditions deliberately rather than leaving good outcomes to chance.<\/em><\/p>\n<h2 id=\"best-practices-for-successful-root-cause-analysis\">Best practices for successful root cause analysis<\/h2>\n<p>Getting RCA right requires more than following a methodology. The organisational conditions around the investigation matter as much as the technique itself.<\/p>\n<ul>\n<li><strong>Build a blame-free culture.<\/strong> People will not report problems honestly if they fear punishment. Psychological safety is a prerequisite for accurate data collection.<\/li>\n<li><strong>Involve subject matter experts and decision-makers together.<\/strong> <a href=\"https:\/\/psnet.ahrq.gov\/primer\/root-cause-analysis\" rel=\"nofollow noopener noreferrer\" target=\"_blank\">Teams that combine both<\/a> ensure findings translate into corrective actions that actually get implemented, rather than recommendations that stall at approval.<\/li>\n<li><strong>Gather data before forming hypotheses.<\/strong> Jumping to conclusions early narrows the investigation and risks missing the true root cause.<\/li>\n<li><strong>Prioritise root causes by impact.<\/strong> Not every root cause carries equal weight. Focus corrective action on the causes most likely to prevent recurrence and reduce risk.<\/li>\n<li><strong>Set measurable success criteria.<\/strong> Define what \u201cfixed\u201d looks like before implementing a corrective action, so you can verify effectiveness objectively.<\/li>\n<li><strong>Review and update your RCA process itself.<\/strong> As your organisation changes, the methods and templates you use should evolve with it.<\/li>\n<\/ul>\n<p>For teams managing field operations and maintenance, linking RCA findings to an <a href=\"https:\/\/fullyops.com\/incident-reporting-procedure-a-2026-guide-for-safety-teams\" target=\"_blank\" rel=\"noopener\">incident reporting procedure<\/a> creates a closed loop between investigation and corrective action.<\/p>\n<h2 id=\"common-challenges-and-pitfalls-in-root-cause-analysis\">Common challenges and pitfalls in root cause analysis<\/h2>\n<p>Even well-intentioned RCA efforts fail when certain traps are not recognised early.<\/p>\n<p><strong>Stopping too soon.<\/strong> The most common mistake is accepting the first plausible cause as the root cause. A motor failed because it overheated. That is a causal factor, not a root cause. Stopping there means the investigation never reaches the absent maintenance schedule that allowed overheating to occur repeatedly.<\/p>\n<p><strong>Blame-focused investigations.<\/strong> When the process becomes about identifying who made a mistake rather than what systemic condition allowed the mistake to happen, findings become superficial and people stop cooperating. The result is a report that satisfies an audit requirement but changes nothing.<\/p>\n<p><strong>Insufficient data.<\/strong> RCA conducted from memory or incomplete records produces unreliable conclusions. Organisations that do not capture operational data in real time find themselves reconstructing events from anecdote, which introduces bias from the start.<\/p>\n<p><strong>Too many root causes without prioritisation.<\/strong> A thorough investigation can surface a long list of contributing factors. Without a clear method for ranking them by severity and likelihood of recurrence, teams spread corrective effort too thinly and achieve little.<\/p>\n<p><strong>Lack of follow-through.<\/strong> An RCA that produces a report but no implemented corrective action is worse than no RCA at all. It consumes time and resources while creating a false sense that the problem has been addressed.<\/p>\n<h2 id=\"how-to-prioritise-root-causes-after-analysis\">How to prioritise root causes after analysis<\/h2>\n<p>When an investigation surfaces multiple root causes, prioritising them prevents corrective effort from being diluted across too many fronts simultaneously.<\/p>\n<p>A practical approach combines two dimensions: the <strong>severity of impact<\/strong> if the cause is left unaddressed, and the <strong>likelihood of recurrence<\/strong>. Causes that score high on both dimensions demand immediate attention. Those with low severity and low recurrence probability can be scheduled for later review or accepted as residual risk.<\/p>\n<p>Risk matrices formalise this process. Plot each root cause on a grid with likelihood on one axis and consequence on the other. The causes that fall in the high-likelihood, high-consequence quadrant become your priority corrective actions. This method is widely used in safety management and aligns with frameworks such as ISO 31000 for risk management.<\/p>\n<p>A second filter is feasibility. Some root causes, once identified, are straightforward to address; others require capital investment, regulatory approval, or significant process redesign. Where two causes carry similar risk scores, address the one with a faster, lower-cost corrective action first to demonstrate progress and build organisational confidence in the RCA process.<\/p>\n<h2 id=\"how-to-implement-and-monitor-corrective-actions-post-rca\">How to implement and monitor corrective actions post-RCA<\/h2>\n<p>A corrective action plan is only as good as its execution and follow-up. The gap between \u201cwe identified the root cause\u201d and \u201cthe problem no longer occurs\u201d is where most RCA efforts lose momentum.<\/p>\n<p>Each corrective action needs four things: a specific description of what will change, a named owner, a completion deadline, and a defined success metric. Without all four, accountability dissolves. Assign actions in writing, not verbally, and confirm that the owner has the authority and resources to act.<\/p>\n<p>Once implemented, monitor the process at defined intervals. A 30-day check confirms the action was completed. A 60-day review assesses whether early indicators suggest the problem is recurring. A 90-day review provides enough operational data to conclude whether the root cause has been eliminated. If the problem returns, the investigation reopens, not the corrective action plan.<\/p>\n<p>Digital operations platforms, such as Fullyops, support this cycle by connecting RCA findings directly to <a href=\"https:\/\/fullyops.com\/work-orders-management\" target=\"_blank\" rel=\"noopener\">gesti\u00f3n de \u00f3rdenes de trabajo<\/a> workflows. Corrective actions become tracked tasks with real-time status visibility, so nothing falls through the gaps between the investigation and the field team responsible for execution.<\/p>\n<h2 id=\"key-takeaways\">Principales conclusiones<\/h2>\n<p>Root cause analysis works only when it traces problems to their fundamental origin, not their nearest visible cause, and when corrective actions are implemented, owned, and monitored to completion.<\/p>\n<table>\n<thead>\n<tr>\n<th>Punto<\/th>\n<th>Detalles<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>RCA targets root causes, not symptoms<\/td>\n<td>Fixing symptoms alone allows the same problem to recur; only eliminating the root cause stops recurrence.<\/td>\n<\/tr>\n<tr>\n<td>Method selection matters<\/td>\n<td>Use the 5 Whys for simple causal chains; apply a Fishbone diagram or fault tree analysis when multiple systems are involved.<\/td>\n<\/tr>\n<tr>\n<td>Team composition is critical<\/td>\n<td>Combining subject matter experts with decision-makers ensures findings translate into implemented corrective actions.<\/td>\n<\/tr>\n<tr>\n<td>Prioritise by severity and likelihood<\/td>\n<td>Focus corrective effort on root causes with the highest impact and greatest probability of recurrence.<\/td>\n<\/tr>\n<tr>\n<td>Monitor after implementation<\/td>\n<td>Set review points at 30, 60, and 90 days post-implementation to confirm the corrective action has held.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"faq\">PREGUNTAS FRECUENTES<\/h2>\n<h3 id=\"what-is-the-meaning-of-root-cause-analysis\">What is the meaning of root cause analysis?<\/h3>\n<p>Root cause analysis is a structured, evidence-based process for identifying the fundamental cause of a problem so that targeted corrective actions can prevent it from recurring, rather than simply addressing its visible symptoms.<\/p>\n<h3 id=\"what-are-the-5-steps-of-root-cause-analysis\">What are the 5 steps of root cause analysis?<\/h3>\n<p>The core steps are: define the problem, collect data and evidence, identify causal factors, determine the root cause using a structured method such as the 5 Whys or Fishbone diagram, and develop and monitor corrective actions.<\/p>\n<h3 id=\"is-rca-part-of-six-sigma\">Is RCA part of Six Sigma?<\/h3>\n<p>RCA features within Six Sigma frameworks, but it is an independent methodology that requires a consistent process rather than any specific certification. Organisations can apply RCA effectively without adopting the full Six Sigma programme.<\/p>\n<h3 id=\"what-is-the-function-of-root-cause-analysis\">What is the function of root cause analysis?<\/h3>\n<p>The function of RCA is to shift organisations from reactive problem-solving to proactive risk management by identifying and eliminating the underlying conditions that allow failures to occur, improving reliability and reducing repeat incidents.<\/p>\n<h3 id=\"how-does-rca-differ-from-troubleshooting\">How does RCA differ from troubleshooting?<\/h3>\n<p>Troubleshooting restores normal operation as quickly as possible; RCA investigates why the failure occurred in the first place. The two are complementary: troubleshooting addresses the immediate situation, while RCA prevents the next one.<\/p>\n<h2 id=\"recommended\">Recomendado<\/h2>\n<ul>\n<li><a href=\"https:\/\/fullyops.com\/incident-reporting-procedure-a-2026-guide-for-safety-teams\" target=\"_blank\" rel=\"noopener\">Incident reporting procedure: a 2026 guide for safety teams<\/a><\/li>\n<li><a href=\"https:\/\/fullyops.com\/what-is-downtime-analysis-a-guide-for-maintenance-managers\" target=\"_blank\" rel=\"noopener\">What is downtime analysis? A guide for maintenance managers<\/a><\/li>\n<li><a href=\"https:\/\/fullyops.com\/corrective-maintenance-steps-a-guide-for-operations-managers\" target=\"_blank\" rel=\"noopener\">Pasos de mantenimiento correctivo: una gu\u00eda para gerentes de operaciones<\/a><\/li>\n<li><a href=\"https:\/\/fullyops.com\/role-of-analytics-in-maintenance-a-practical-guide\" target=\"_blank\" rel=\"noopener\">El papel de la anal\u00edtica en el mantenimiento: una gu\u00eda pr\u00e1ctica<\/a><\/li>\n<\/ul>",
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        "rendered": "<p>Discover what is root cause analysis and how it helps identify problems effectively. Transform issues into long-lasting solutions today!<\/p>",
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