If you are an entrepreneur or manager, you know that business processes can make or break your company. Solving problems is like continuously extinguishing fires inside the company. At the same time, each solved problem in the right way is a continuous improvement process that will improve your business efficiency and effectiveness. Root cause analysis is a method, or better said, the specific process that will help you achieve operational excellence.

So, in this article, we will talk about the root causes analysis process, benefits, and tools that will help you conduct the process.

What is Root Cause Analysis?

Root Cause Analysis (RCA) is a systematic process of identifying and addressing the root causes, as its name suggests, of a problem or issue. It involves deep analysis and investigation to determine the primary source (root causes) of an issue, defect, etc., and systematically evaluate contributing factors instead of just treating the problem’s symptoms.

You and your team have probably experienced many situations when working on a specific problem-solving process. I have seen many entrepreneurs and managers focus only on solving current problems.

For example, if their equipment or machines stop working because of some defect, they try to solve the defect and continue to work the same way. In such a case, the same problem will appear again next week, month, or year. So, they will continue to treat the symptoms instead of finding and threatening the root causes of the problem so the same p[problem will not reappear.

So, root cause analysis (RCA) is a method for identifying the root causes of defects or problems in a problem-solving process.

A root cause analysis aims to solve the immediate problem in your company and prevent similar issues from occurring in the future. This approach can help your business improve its processes, reduce costs, and increase efficiency.

Causal Factors vs Contributing Factors

A causal factor is a specific circumstance that causes an effect. So, by eliminating a cause(s), you will eliminate the effect (problem) of such a cause.

On the other hand, a contributing factor is a circumstance that influences the effect (problem) by increasing its likelihood, consequences, time of problem appearance, etc. Eliminating a contributing factor does not eliminate the effect, but it lowers its impact.

For example, if your problem is high bounce rate on your website analytics, causal factor can be a slow loading speed of your website. By improving the loading speed, you can eliminate this cause and reduce the bounce rate. However, contributing factors such as poor user experience or irrelevant content may also contribute to the high bounce rate.

You must identify both factors.

Why Must You Conduct a Root Cause Analysis Process?

As you can see, root cause analysis provides a crucial capability to move beyond reactive firefighting toward better and more reliable prevention. Is it better to wait for problems to appear and solve them then or to prevent the same problem from appearing again?

Put yourself in a situation where you are facing a recurring problem in your company. You have tried various solutions, but the problem keeps coming back. This not only affects your productivity and costs, but it also impacts the quality of your services or products. Remember that external quality costs produced because your defective product and service come into the hands of your customers can be catastrophic for your company.

Without identifying the root cause of the issue, you will continue to waste time and resources on temporary fixes that may not fully solve the problem but just symptoms. Additionally, if the real root cause is left unaddressed, it can lead to even bigger issues.

Conducting a root cause analysis allows you to understand the problem’s real root causes and find a permanent solution to ensure the same problem will not reappear. RCA methodology also helps you dig deeper into your business processes and systems to identify possible areas for improvement and prevent future problems from arising.

When to Perform a Root Cause Analysis?

Whenever a problem or issue arises within your company, conducting a root cause analysis is important. It doesn’t matter what type of problem you are trying to solve—whether it is customer complaints, employee errors, unexpected downtime, or any other issue that affects the overall functioning of your business—root cause analysis is a must if you want to succeed.

Triggers for a root cause analysis usually fall into three broad categories: equipment failure, human error, and system breakdown. These are the most common types of problems that businesses face, and a root cause analysis can help you identify the root causes and implement solutions to prevent them from happening again.

However, it is also beneficial to regularly perform root cause analyses as part of your continuous improvement process. By proactively identifying and addressing potential areas for improvement, you can increase efficiency, reduce costs, and prevent future issues from occurring. This proactive approach helps keep your business running smoothly and allows for ongoing growth and success.

Steps for Conducting a Root Cause Analysis

Performing effective root cause analysis in different perspectives and situations can require different steps you must conduct. However, there are general steps you can take and adjust them according to your specific needs. The most important thing as an output from this process is that you must identify the root of the causes of the problem you want to solve.

Step 1: Identify the Problem

The first step in a root cause analysis is to clearly define the problem at hand. This may seem obvious, but it’s important to make sure everyone involved has the same understanding of the issue.

The most important thing here is to clearly articulate the problem you aim to address because the output from this step must be a clear problem statement for your root cause analysis. For example, a good problem statement will be: “Our website’s bounce rate has increased by 20% in the last month.” The wrong problem statement will be: “Our website is not performing well.”

The difference between these problem statements is in their specificity and a clear focus on a measurable metric. The first one clearly communicates the symptom, in this case, a bounce rate, while the second simply states that we have a problem with our website.

As you can see from the example, your problem statement must define specific symptoms by accurately describing the issue’s observable characteristics and quantifying the impacts witnessed thus far.

So, a clear problem statement is crucial for you because it will help guide the rest of your analysis and ensure that you are addressing the root cause of the problem.

Step 2: Collect Necessary Information and Data for Identified Problem

The next step is to gather all relevant information about the problem. This can include data, statistics, customer feedback, or other sources that may illuminate potential causes.

In our example case, looking at website analytics to see if any changes in traffic or user behavior could contribute to the increased bounce rate would be helpful. It would also be useful to gather user feedback through surveys or customer service interactions to understand their experiences on the website. It may also be beneficial to conduct A/B testing to see if website design or content changes can improve user engagement and decrease bounce rates. By split-testing different versions of landing pages, you can gather data on which elements are most effective in keeping users on your site.

You can create a timeline by working backward chronologically to chart key events preceding and proceeding with observable problem occurrences. While you analyze the data, carefully document all contributing factors by considering perspectives like process flow understanding, operational data, and related audit records.

Step 3: Identify Possible Causal Factors

Once you have gathered all of your data, it’s time to analyze it thoroughly. Look for patterns or trends that may indicate causal factors and possible causes. Causal factor is the underlying reason or contributor for a problem occurring, while root causes are the specific actions or events that lead to the problem.

If we continue with our example, some common causal factors for high bounce rates may include:

1. Poor website design – if your website is difficult to navigate or unappealing, users are more likely to leave quickly.
2. Slow loading times – with so many options available online, users have little patience for slow websites and will often click away if it takes too long to load.
3. Lack of relevant content – users want to find information quickly and easily when they visit a website. If your content is not relevant or valuable to them, they will likely bounce back to their search results.
4. Technical issues – broken links, error pages, and other technical problems can also contribute to a high bounce rate.

Use analysis tools like brainstorming, 5W(5 Whys), PDCA (Plan-Do-Check-Act),fishbone diagrams, failure mode and effects analysis (FMEA), process flow analysis, etc., to identify all possible causal factors.

Step 4: Identify Root Cause(s)

Now that you have all the causal factors, the magic happens when you start to link them together by looking at interdependencies and factor likelihood. You can use statistical, experiential, and consensus estimation to qualify key links.

So, at this step, you need to dig deeper and find the root cause(s) of the problem you are trying to solve. This step is key to solving the problem and preventing it from happening again.

Here, you must analyze each causal factor and look at the interconnections between them. For example, technical issues like broken links or error messages may be caused by human error or lack of training. You can create a more complete and effective solution by identifying these connections.

In addition to finding root causes, you need to assess the likelihood of each factor causing the problem. This can be done through statistical analysis, using data to see which factors have the highest probability of being the root cause. Experiential techniques like brainstorming and expert opinions can also be useful.

Step 5: Root Causes Prioritization

After identifying the root causes of your problem, it’s important to prioritize them in order to address the most critical issues first. This can be done by considering the impact each cause has on your overall goal and how difficult it will be to solve.

For example, a broken link may greatly impact user experience and search engine rankings, but it may also be relatively easy to fix. On the other hand, lack of employee training may have a lower impact but could require more resources and time to address.

It’s important to consider both short-term and long-term solutions when prioritizing causes. Some issues may require immediate action, while others can be addressed over time.

Step 6: Recommendation of Corrective Actions

Now that you’ve identified and prioritized the root causes of your problem, it’s time to create solutions to fix them. These solutions should address the root causes directly and be realistic and practical.

For our example, we can take the following corrective actions:

• Fix broken links or technical issues on your website
• Improve website design or user experience
• Invest in employee training and development programs
• Update and optimize content for search engines

Remember, if you had multiple root causes from previous steps, you must create corrective actions for each causal factor and root cause.

You need to evaluate each potential solution and determine which will have the biggest impact on fixing the problem. Consider cost, resources, and feasibility.

Once a solution is chosen, you need to check whether the root cause analysis has been done fully, whether the solution will remove all the problems or failures, and whether it’s reliable and maintainable.

Root Cause Analysis Tools

Root cause analysis encompasses a toolkit approach that aligns techniques to problem complexity, organizational maturity, and analytics staff capabilities. I have already mentioned some specific tools you can use when conducting root cause analysis to help you identify causal factors, contributing factors, and underlying causes.

Let’s quickly look at some of them.

1. Brainstorming

A group of team members can use the brainstorming technique in root cause analysis to identify possible causes of a problem. This is a great way to get multiple perspectives and ideas from different individuals. It’s important to have an open and nonjudgmental environment during the brainstorming session to encourage everyone to share their thoughts freely.

2. 5 Whys

The 5 Whys approach asks five “Why?” questions to get to the root cause of a problem. This technique is useful for identifying underlying issues and understanding how they relate to each other. It works by asking why a problem occurred and then using the answer as the basis for another question.

3. Fishbone Diagram

The fishbone diagram, also known as the Ishikawa diagram or cause-and-effect diagram, helps identify potential causes of a problem by visualizing relationships between different factors. By visually organizing and connecting these factors, it can help determine the root cause of a problem.

4. Pareto Chart

Pareto charts display root causes in descending order of frequency to understand the most common root causes. It helps prioritize which problems need to be addressed first based on their significance and frequency. This can be especially useful when dealing with limited resources and needing to focus on the most critical issues first.

5. Fault Tree Analysis

Fault tree analysis is a method used to identify potential failures or events that can lead to a larger problem. It involves breaking down a problem into smaller components and analyzing the relationship between them. This technique is often used in industries such as engineering, manufacturing, and aviation to assess risks and prevent future failures.

6. Failure Mode and Effects Analysis (FMEA)

FMEA identifies every possibility for system/process failure and examines the potential impact of each. It also prioritizes potential failures based on their severity, occurrence, and detection. This method helps to identify weak points in a system or process and develop preventative measures to mitigate potential risks.

7. Regression analysis

Regression analysis in root cause analysis involves identifying the relationship between a dependent variable and one or more independent variables. This method is commonly used in statistical analysis to determine how changes in an independent variable affect the dependent variable. In root cause analysis, regression analysis can help identify which factors are contributing to a problem and how significant their impact is.

8. Design of experiments (DOE)

Design of experiments (DOE) is a method used to systematically test and analyze various factors that may contribute to a problem. It involves creating controlled experiments and manipulating different variables to determine their effects on the outcome. This helps to identify which factors are critical in causing the problem and can lead to potential solutions.

9. Control Charts

Control charts in root cause analysis track the performance of a process over time and against the control limits. They can show patterns and trends in the data and help you detect problems early. By monitoring the data regularly, control charts will give you insight into the root cause of the problems.

10. Failure Reporting, Analysis, and Corrective Action System (FRACAS)

FRACAS is a system that tracks failures in your company’s products or processes. It allows you to identify, report, analyze, and resolve failures in a structured way. This will help you to find the root cause of recurring problems and implement the correct actions.