3 Root Cause Analysis Templates (and Examples)

Last Updated on August 12, 2026 by Status.net Editorial Team

Root Cause Analysis (RCA) is a powerful tool used by organizations and professionals to identify, understand, and address the core issues behind recurring problems. By analyzing and addressing the root cause of a problem, you can ensure that the issue will not repeat itself, enhancing your organization’s overall performance, safety, and efficiency. This article will give you an overview of root cause analysis templates and examples to help you adopt this approach for your own processes.

• Visualizing Root Causes: Diagrams, Charts, and Flowcharts Part 1
• Root Cause Analysis Templates and How to Fill Them Out Part 2
• Root Cause Analysis Examples Part 3
• Guidelines for Effective Root Cause Analysis Part 4
• Common Mistakes to Avoid in Root Cause Analysis Part 5
• Benefits of Root Cause Analysis Part 6
• From Root Cause Analysis to Corrective Action Part 7

To launch a successful root cause analysis, you need to start by defining the problem clearly. This ensures that your team remains focused on addressing the correct underlying issue. Next, explore various strategies to identify the root cause of your problem. This may involve brainstorming, data analysis, or consultations with experts. Once the root causes have been identified, you can develop targeted solutions to eliminate them and prevent future occurrences.

Related: Root Cause Analysis (RCA) Methods for Effective Problem Solving

5 Whys: How to Uncover Root Causes [Examples]

Five Whys Technique

To apply the Five Whys Technique in root cause analysis, begin by stating the problem and then, ask “why” the problem occurred. Keep asking “why” until identifying the root cause. This method works best when working with simpler, specific problems. As an example, consider the following problem and its subsequent analysis:

• Problem: Production is delayed.
• Why? There’s a machine breakdown.
• Why? The machine’s belt is damaged.
• Why? The belt has worn out due to extended use.
• Why? Maintenance and replacement schedules were not followed. (Root cause)

Learn more: 5 Whys: How to Uncover Root Causes [Examples]

Fishbone Diagram

A Fishbone Diagram, also known as an Ishikawa Diagram or Cause and Effect Diagram, is a visual tool used to identify and organize possible causes for a specific problem. To create a Fishbone Diagram, follow these steps:

1. Write down the problem statement at the head of your diagram.
2. Identify main categories of potential causes (e.g., people, processes, environment, equipment).
3. Add these categories as “ribs” branching off the main “spine” of the fishbone.
4. Brainstorm specific potential causes under each category.
5. Analyze and prioritize the identified causes to determine the root cause(s).

As a simple example, suppose the problem is “late product deliveries.” Categories could include:

• People: staff shortages, lack of training
• Processes: inefficient processes, lack of communication
• Environment: disruptions due to weather, shipping provider issues
• Equipment: outdated equipment, vehicle breakdowns

Learn more: Fishbone Diagram (Components, Factors, Examples) and Ishikawa Diagram: Examples and Applications

Many quality teams expand the classic four categories into the “6M” framework, which tends to work well in manufacturing and operations settings: Man (people), Machine (equipment), Method (process), Material (inputs), Measurement (data and metrics), and Mother Nature (environment). Some manufacturing teams stretch this further into an “8M” model by adding Management and Maintenance as separate branches, which can help surface causes tied to oversight or upkeep that might otherwise get buried under “Method” or “Equipment.” Choosing the right number of categories depends on how granular your team needs the analysis to be. A smaller team investigating a single machine failure may only need four branches, while a plant running a formal quality program often benefits from the full 6M or 8M breakdown.

Pareto Analysis

Pareto Analysis is a decision-making tool that helps prioritize the most significant causes contributing to a problem. It’s based on the 80/20 rule, which states that about 80% of the effects come from 20% of the causes. To perform a Pareto Analysis:

1. List all possible causes of the problem.
2. Assign values (e.g., frequency, cost, or time) to each cause.
3. Rank the causes in descending order based on the assigned values.
4. Calculate the cumulative percentage for each cause.
5. Create a Pareto chart with causes on the x-axis and assigned values on the y-axis, and draw a line representing the cumulative percentage.
6. Identify the causes contributing to 80% of the problem (starting from the highest value) to address and fix the problem.

When using a Pareto Analysis in root cause analysis, focus on the top contributing causes to solve the most significant aspects of the problem. This technique is especially valuable when dealing with complex problems or when resources are limited.

Related: What is Poka-Yoke? [Examples, Principles, Methods]

Part 1Visualizing Root Causes: Diagrams, Charts, and Flowcharts

A root cause analysis diagram gives your team a shared picture of a problem, which often reveals patterns that a written report alone would miss. Different diagram formats suit different types of problems, and it helps to know which one to reach for.

• Fishbone (Ishikawa) diagram: Best for problems with several contributing categories of causes, such as a manufacturing defect influenced by people, machines, and materials at once. The spine-and-rib layout makes it easy for a group to brainstorm together without losing track of where each idea belongs.
• Why-why diagram (cause tree): An extension of the Five Whys that branches out instead of following a single chain. Rather than one line of “why” questions, a why-why diagram allows multiple answers at each level, which is useful when a problem has more than one plausible driver. A simple text version might look like this:
  • Problem: Website checkout fails intermittently
  • Why? Payment API times out
    • Why? Server load spikes during peak hours
    • Why? Auto-scaling was not configured for the payment service (root cause)
  • Why? Customer session expires mid-checkout
    • Why? Session timeout is set too short for longer checkout flows (root cause)
• Flowchart-style RCA: Maps the actual process step by step and marks the point where the failure occurred. This works well for operational or procedural problems, since it shows exactly where a handoff, approval, or inspection broke down.
• Pareto chart: A bar chart ranked from most to least frequent cause, with a cumulative percentage line overlaid. It answers a different question than the other diagrams: given several confirmed causes, which ones deserve attention first.
• Root cause analysis table (matrix): A simple grid with columns for the problem, contributing cause, supporting evidence, cause category, and planned corrective action. Teams that prefer documentation over drawing often use this format because it is easy to sort, filter, and attach to a formal report.

There is no single correct diagram for every situation. A team investigating a one-off equipment failure might sketch a fishbone diagram on a whiteboard in twenty minutes, while a team building a formal report for a safety incident may need a flowchart and a table to satisfy an audit trail. Choosing the format that matches the complexity of the problem, and the audience who will review the findings, tends to matter more than which tool looks the most sophisticated.

Part 2Root Cause Analysis Templates and How to Fill Them Out

A good template does more than provide blank space to fill in. It keeps a team consistent from one investigation to the next, which makes it easier to compare findings across incidents over time. Here is how the core templates map to the techniques above.

• Five Whys template: A problem statement field, five sequential “why” rows, a field for the confirmed root cause, and a field for the corrective action. Keep each “why” answer to one sentence so the chain stays easy to follow.
• Fishbone template: A central spine with the problem statement, four to eight preset category ribs (People, Process, Equipment, Environment, and any additional M categories your team uses), and blank lines under each rib for brainstormed causes.
• Pareto template: A table with columns for cause, frequency or cost, percentage of total, and cumulative percentage, paired with a bar-and-line chart.
• General RCA report template: Useful when a problem needs to be documented for stakeholders outside the immediate team. A typical outline includes:
  • Problem or incident title and date discovered
  • Description of the problem and its impact
  • Investigation team members and roles
  • Methodology used (Five Whys, fishbone, Pareto, or a combination)
  • Findings and evidence gathered during the investigation
  • Root cause statement
  • Corrective and preventive actions, with an owner and target date for each
  • Plan for verifying that the fix worked

This outline works whether you are documenting a single machine breakdown or a company-wide process failure. Smaller problems may only need the first four or five fields, while regulated industries or customer-facing incidents often require the full report for internal review or audit purposes.

How to Write a Clear Root Cause Statement

A root cause statement is the single sentence that captures what your investigation found, and it is often the part of the report people read first. A useful structure to follow is: “[The problem] occurred because [the root cause], as shown by [the evidence].”

A few examples of this format in practice:

• “Production output dropped 15% because scheduled belt maintenance was skipped for three consecutive months, as shown by maintenance logs and the machine’s wear inspection report.”
• “Customer complaints increased 40% because a cost-driven material substitution reduced product durability, as shown by lab testing on returned units.”
• “The checkout page failed intermittently because auto-scaling was never configured for the payment service, as shown by server load logs during peak traffic windows.”

A few habits separate a strong root cause statement from a weak one:

• Name a process or system failure rather than a person. “The approval step lacked a backup reviewer” holds up to scrutiny better than “an employee forgot to check.”
• Anchor the statement to evidence you actually collected, not a guess. If you cannot point to data or a document that supports the claim, the investigation likely needs another round.
• Keep it to one sentence. If the statement needs several clauses to explain, it is often a sign that more than one root cause is at play, in which case each one deserves its own statement.

Part 3Root Cause Analysis Examples

Part 4Guidelines for Effective Root Cause Analysis

Gathering Information

To perform a successful root cause analysis, begin by gathering information about the problem. Collect data from diverse sources, including employees, documents, and other relevant records. Organize this information systematically to gain a clear understanding of the issue at hand. Key steps in gathering information:

• Identify the problem and clarify its scope
• Gather data from relevant sources (e.g., documents, personnel, external experts)
• Organize data systematically for easy analysis

Identifying Possible Causes

After gathering information, work to identify possible causes of the problem. This step requires examining the data closely and using analytical methods, such as brainstorming, fishbone diagrams, and flowcharts.

Consider multiple probable causes for the issue rather than focusing on a single explanation. These potential causes can be refined and ranked by probability and impact later in the analysis process. Some tips for identifying possible causes:

• Use various analytical techniques (brainstorming, fishbone diagrams, flowcharts)
• Consider multiple causes and don’t focus on one explanation
• Keep an open mind and avoid jumping to conclusions

Evaluating Data

Once the possible causes have been identified, the next step is to evaluate the data to pinpoint the root cause of the problem. Assess the impact and probability of each potential cause, then determine the most likely root cause(s).

Investigate the relationships between causes and the problem to understand the underlying mechanisms that need to be addressed. This step may require further data collection or revisiting previously gathered information. Key aspects of evaluating data:

• Assess the impact and probability of each possible cause
• Determine the most likely root cause(s)
• Investigate relationships between causes and problem to understand underlying mechanisms

Before closing out the analysis, it often helps to test the leading root cause against the evidence one more time. Ask whether removing that cause would have prevented the problem, and whether the timeline of events actually supports the cause you have identified. If a teammate can poke a hole in the theory with a single question, the analysis usually needs another pass before moving to corrective action.

Part 5Common Mistakes to Avoid in Root Cause Analysis

Even experienced teams fall into familiar traps during a root cause investigation. Watching for these patterns can save hours of rework later.

• Stopping at the first plausible answer. A cause that sounds reasonable is not always the root cause. Push through at least a few more “why” questions or diagram branches before settling on an explanation.
• Confusing a symptom with a root cause. “The machine broke” describes what happened, not why it happened. Keep asking until you reach a process, system, or decision that can actually be changed.
• Relying on a single person’s account. One perspective rarely captures the full picture, especially for problems that cross departments. Gather input from everyone who touched the process, including the people closest to the day-to-day work.
• Skipping data verification. A hypothesis that feels convincing in a meeting can fall apart once checked against logs, timestamps, or maintenance records. Confirm the cause with evidence before writing it into a report.
• Blaming individuals instead of examining the system. Pinning a problem on one person’s mistake tends to end the investigation prematurely and misses the process gap that allowed the mistake to matter in the first place.
• Treating the analysis as finished once the report is written. A root cause analysis only delivers value once the corrective action is implemented and verified. Reports that sit unread rarely prevent the next occurrence.

Part 6Benefits of Root Cause Analysis

Continuous Improvement

Root cause analysis (RCA) encourages continuous improvement in your organization by identifying the underlying causes of problems and implementing solutions. When you conduct RCA, you build a foundation for long-term improvement that goes beyond simple fixes.

Preventive Action

Another benefit of root cause analysis is its focus on preventive action. When you identify and address the root causes of problems, you can prevent similar issues from occurring in the future. This proactive approach helps your organization improve its performance and reduce the likelihood of encountering the same issues again.

Cost Savings

Finally, root cause analysis can lead to significant cost savings for your organization. By identifying and resolving the root causes of problems, you can avoid the expenses associated with repeated failures, downtime, and operational inefficiencies. Moreover, a well-executed RCA provides valuable insights that inform better decision-making and resource allocation. As a result, your organization can operate more efficiently.

Stronger Team Collaboration

Root cause analysis works best as a group activity, and that collaboration tends to pay off well beyond the immediate problem. Bringing people from different roles into the same investigation surfaces knowledge that would otherwise stay siloed within one department. A maintenance technician might understand a machine’s quirks that an operations manager never sees, while a frontline employee often knows exactly where a workflow breaks down in practice. Running RCA sessions regularly also builds a shared vocabulary around problem-solving, so teams spend less time debating how to investigate an issue and more time actually fixing it.

Part 7From Root Cause Analysis to Corrective Action

Identifying a root cause is only half the job. The findings need to turn into a corrective action that actually closes the gap, and ideally a preventive action that keeps a similar problem from appearing somewhere else in the organization. Many teams formalize this handoff as a root cause corrective action (RCCA) report, which pairs the RCA findings with a documented action plan, an assigned owner, and a target completion date.

A few practices help this transition go smoothly:

• Separate corrective from preventive actions. A corrective action fixes the specific instance of the problem (replacing the worn belt), while a preventive action addresses the systemic gap (adding the belt to a scheduled maintenance checklist).
• Assign clear ownership. An action item without a named owner and a due date tends to stall. Naming a single accountable person, even on a task that involves several people, keeps the plan moving.
• Build in a verification step. Once the corrective action is in place, check back after a set period to confirm the original problem has not recurred. This is often the step teams skip, and it is the one that proves whether the root cause analysis actually worked.
• Feed findings back into the process. If a root cause analysis reveals a gap in training, documentation, or a checklist, update those materials directly rather than relying on the fix living only in the report.

Closing this loop is what separates a root cause analysis that produces a document from one that produces lasting change.

See also: Root Cause Analysis (RCA) Methods for Effective Problem Solving

5 Whys: How to Uncover Root Causes [Examples]

Fishbone Diagram (Components, Factors, Examples)

Ishikawa Diagram: Examples and Applications

What is Poka-Yoke? [Examples, Principles, Methods]

Frequently Asked Questions

What is a simple example of root cause analysis?

A simple example is a delayed shipment traced back through the Five Whys: the shipment was late because a supplier order arrived late, which happened because the reorder point was never updated after demand increased. The root cause is an outdated reorder threshold, and the fix is updating the inventory system rather than simply expediting the one late order.

What does a root cause analysis diagram look like?

It depends on the format chosen. A fishbone diagram looks like a fish skeleton with the problem at the head and cause categories branching off as ribs. A why-why diagram looks more like a tree, branching downward each time a new “why” question uncovers more than one possible answer. A flowchart-style diagram follows the actual process steps and marks where the failure occurred.

What is a root cause statement example?

A root cause statement typically follows the pattern “[problem] occurred because [cause], as shown by [evidence].” For example: “Customer complaints increased because a cost-driven material substitution reduced product durability, as shown by lab testing on returned units.”

What should a root cause analysis template include?

At minimum, a template should capture the problem statement, the method used to investigate it, the findings, a clear root cause statement, and the corrective and preventive actions with an owner and due date. More formal templates also include a section for verifying the fix worked.

What is RCCA and how does it relate to root cause analysis?

RCCA stands for root cause corrective action. It refers to the combined document that pairs the findings from a root cause analysis with the specific corrective and preventive actions taken in response, along with ownership and a timeline for completion.

How many “whys” should you ask in a Five Whys analysis?

Five is a guideline rather than a strict rule. Some problems reveal their root cause after three questions, while others need six or seven. Stop once you reach a cause that a process change or policy update could actually prevent, and continue if the current answer still describes a symptom.

What is the difference between a root cause and a contributing factor?

A root cause is the underlying issue that, if corrected, would prevent the problem from recurring. A contributing factor plays a role in the incident but would not, on its own, have caused the problem if the root cause had not also been present. Investigations often turn up several contributing factors alongside a single root cause.