Are You Dissatisfied with 5-Why Root Cause Analysis?
Dissatisfied with 5-Why Root Cause Analysis?
This article will cover three major drawbacks of 5-Why Root Cause Analysis that may cause you to be dissatisfied with 5-Why root cause analysis:
- Focus on a Single Root Cause
- Confirmation Bias
- No Guidance to Find the Causes of Human Errors
We don’t find it surprising that you find 5-Whys root cause analysis lacking. The lack of effectiveness of 5-Whys RCA has been shown in simple investigations and major investigation. Even smart, well-trained users (Like Taiichi Ohno, himself) frequently jump to conclusions, follow a single root cause trail, and fail to adequately analyze the causes of human error.
That’s why we find it so surprising that people still recommend 5-Whys root cause analysis because it is “easy.” Easy but wrong is the wrong answer when you are counting on your root cause analysis to save lives, stop injuries, improve equipment reliability, or stop quality issues. And there are other techniques that are easy but effective.
5-Why Root Cause Analysis Example
Let’s look at one of the most famous 5-Why examples used by Taiichi Ohno (pictured above), who created the 5-Why root cause analysis technique. He is quoted using the following 5-Why example to teach 5-Whys to others.
Here is the example:
1. “WHY did the robot stop?”
The circuit has overloaded, causing a fuse to blow.
2. “WHY is the circuit overloaded?”
There was insufficient lubrication on the bearings, so they locked up.
3. “WHY was there insufficient lubrication on the bearings?”
The oil pump on the robot is not circulating sufficient oil.
4. “WHY is the pump not circulating sufficient oil?”
The pump intake is clogged with metal shavings.
5. “WHY is the intake clogged with metal shavings?”
Because there is no filter on the pump.
That’s it. The fifth WHY. Taiichi Ohno says the “Root Cause” is:
“NO FILTER ON THE PUMP”
Would you call that a root cause? I wouldn’t.
What would the corrective action be? Probably to install a filter on the pump.
What is wrong with this root cause analysis?
To find out, we would have to dig deeper into the failed robot’s root causes.
Let’s look at the three main problems with 5-Why root cause analysis and see how another technique, TapRooT® Root Cause Analysis, might produce a more thorough root cause analysis.
PROBLEM 1: Focus on a Single Cause
If you follow a single 5-Why questioning chain you only get one root cause. Just like Taiichi Ohno did.
But is there just one root cause for the robot example?
Here is the analysis of the same example using TapRooT® Root Cause Analysis that will show you that there is more than one root cause for the robot failure…
The TapRooT® Process
TapRooT® is more than an RCA tool. It is a systematic process with embedded tools to help an investigator find and fix the root causes of a problem. It starts with either the TapRooT® 5-Step Process for low-to-medium risk incidents or the TapRooT® 7-Step Process for major investigations. The 5-Step Process is shown below…
To start investigating the problem, one gathers evidence and draws a SnapCharT® (shown below being drawn by a team in a TapRooT® 2-Day Root Cause Analysis Course).
Notice that the 5-Whys that Mr. Ohno asked in the example above turned out to be mainly the sequence of events leading up to the failure in the SnapCharT® (shown below).
The SnapCharT® makes the example event easier to understand than the 5-Why example above. Plus, the SnapCharT® goes beyond the 5-Whys by indicating that there was no low oil pressure alarm.
In TapRooT®, if the investigator decides that there is more to learn, the investigator continues to collect evidence (grows the SnapCharT®) to expand his/her understanding of what happened. A good TapRooT® Investigator would have several areas to look at.
First, what happened to the filter? Was it forgotten during maintenance or was it never designed into the system?
Next, where did the metal shavings come from? Metal shavings in a lube oil system are unusual. What was the source?
The new information provides a fairly complete understanding of what happened and is shown on the SnapCharT® below…
Notice that in TapRooT®, we complete the collection of evidence about what caused the metal filings and what caused the filter to be missing. These were significant issues that were left out of the 5-Why analysis.
Why does this happen? Because the investigator gets focused on a single cause. This type of omission of other causes is common in 5-Why analyses – even when experts apply 5-Whys. Thus the problem isn’t with the investigator or their training – it is embedded in the 5-Why system.
Once one understands what happened, the third step is to identify the Causal Factors that, if eliminated, would have stopped the accident from occurring or reduce the seriousness of the incident. We use a Causal Factor Worksheet to find all the Causal Factors.
- Mechanic A uses a cloth to cover the lube oil system opening while grinding.
- Mechanic B did not install a lube oil filter.
- Operator did not confirm that lube oil change was complete.
- Operator did not notice low lube oil pressure.
- Mechanic A should have reported filings in the system.
- Mechanic B did not tell the operator that the filter was not installed, and lube oil change was not complete before leaving the area.
Where Mr. Ohno only had just one root cause, TapRooT® has already identified six Causal Factors. Each of these Causal Factors could have multiple root causes. TapRooT® is already highlighting one of the weaknesses of 5-Why root cause analysis: that it usually focuses on a single cause and misses additional causes (and the needed corrective actions for those root causes that aren’t identified).
The Root Cause Tree® Diagram
In the fourth step of the TapRooT® 5-Step Process, each Causal Factor is analyzed using the Root Cause Tree® to guide the investigator to the Causal Factor’s root causes. The tree is described in detail in the TapRooT® Book (CLICK HERE for info).
For this example, we won’t show the entire analysis of all six Causal Factors using the Root Cause Tree® and Dictionary. For people who would like to know more about the 15-question Human Performance Troubleshooting Guide and the way the tree is used to help investigators find causes beyond their current knowledge, we recommend attending a 2-Day or 5-Day TapRooT® Course.
However, we will describe the analysis of the Causal Factor “Operator doesn’t know oil pressure is low.”
This starts out on the tree as a HUMAN PERFORMANCE DIFFICULTY that leads us to the HUMAN PERFORMANCE TROUBLESHOOTING GUIDE. When asking the 15 Questions, two questions get a “yes” for this Causal Factor and guide us to the HUMAN ENGINEERING, PROCEDURES, and TRAINING Basic Cause Categories on the backside of the Root Cause Tree®.
Copyright © 2015 by System Improvements, Inc.
Used by permission. Duplication prohibited.
In analyzing these categories, no causes are found in the Procedures or Training Basic Cause Categories. However, two root causes are found to be applicable in the Human Engineering Basic Cause Category (above).
Thus, it was determined that if the operator needed an oil pressure display/alarm (DISPLAYS NI ROOT CAUSE) to make the detection of a problem more likely and timely. If the display/alarm had been present, then the robot could have been stopped and fixed before damage to the bearings had occurred. Thus, the incident would have been made significantly less severe.
One corrective action for this root cause would be to install a low bearing lube oil pressure alarm to notify the operator of impending equipment problems before the bearing would lock up. If a faster reaction was required (faster than an operator could respond) another corrective action to add an automatic lube oil low-pressure shutoff could be recommended.
After analyzing just one Causal Factor using the TapRooT® Root Cause Tree®, we found that even an expert like Taiichi Ohno could miss important root causes when using 5-Whys. But there is more. There are still five more Causal Factors to analyze (and then Generic Causes – an optional step in the 5-Step Process). That means that Taiichi Ohno missed at least six root causes and didn’t fix each Causal Factor’s root causes.
What did Taiichi fail to fix by just asking 5-Whys?
- No lube oil low-pressure alarm would have been installed.
- The problem with improper QA controls would not be addressed.
- The problem with the operator and mechanic not communicating would not be solved.
- The problem of the missing filter would not be addressed.
- The mechanic not reporting the filings in the system would not be addressed.
Some people will say that there are ways to find multiple root causes when applying 5-Whys. That’s true. However, failure to consider multiple root causes is common in many 5-Why root cause analysis examples that are used to demonstrate the effectiveness of the technique. Have a look at the example in this professional society magazine (the bugs example – click on the cover below to read the details).
Thus, the robot 5-Why root cause analysis example isn’t abnormal. It is typical of many of the 5-Why root cause analysis examples that I have seen people struggle to complete. (Examples HERE)
Struggle? Isn’t 5-Why root cause analysis suppose to be easy?
Yes. It is easy … But it is ONLY easy if you already know the answer BEFORE you start asking why.
And that brings us to the second 5-Why problem – Confirmation Bias.
PROBLEM 2: Confirmation Bias
What is “Confirmation Bias?”
The term was developed by researchers to highlight a problem with the scientific method. When someone thinks they “know” the answer, they preferentially look for evidence that confirms their answer. Thus, they have a “confirmation bias” (a bias to confirm what they believe).
Because 5-Whys root cause analysis is easy when you “know” the answer … 5-Whys frequently suffers from Confirmation Bias (the investigator naturally looks for evidence that makes their 5-Why chain work and ignores evidence that is counter to their beliefs). Frankly, if you know the answer, why look for evidence at all!
Thus when asking why five times, the investigator finds the answer they started out to prove.
For more reading about Confirmation Bias, see:
How does Confirmation Bias impact this example?
I assume that Taiichi Ohno knew about the clogged lube oil pump intake and thought that they could fix this with a filter. Thus, the missing filter was his “root cause.”
Why look further when you have already confirmed the answer you want to implement by asking why five times?
PROBLEM 3: No Guidance to Find the Causes of Human Errors
5-Why root cause analysis often stops at “human error” as a root cause. But as we explained in this article:
Human error is NOT a root cause.
Most people investigating problems have no training in human factors (the science of human error). That’s why we included human error analysis guidance in the TapRooT® System. You can see how some of the embedded intelligence in the TapRooT® System works if you read the article (Is Human Error a Root Cause?) referenced above.
In the robot example, TapRooT® RCA helped the investigator identify the need for a lube oil low-pressure alarm. That’s a human factors improvement that was missed using the standard 5-Why root cause analysis.
Perhaps Taiichi Ohno wasn’t familiar with human factors engineering and that’s why he didn’t think of an alarm for low lube oil pressure.
Are You Dissatisfied with 5-Why Root Cause Analysis?
As we said at the start of this article, we don’t find it surprising that you find 5-Whys root cause analysis lacking. The three drawbacks listed above are just some of the reasons why 5-Why root cause analysis is usually insufficient to find root causes. Even smart, well-trained users (Like Taiichi, himself) frequently jump to conclusions, follow a single root cause trail, and fail to adequately analyze the causes of human error. That’s why 5-Why root cause analysis examples like the robot example aren’t rare.
Perhaps it is time you discovered advanced root cause analysis – TapRooT®!
Learn More About TapRooT® Advanced Root Cause Analysis
To have a TapRooT® Root Cause Analysis Course at your site, CONTACT US for a quote.
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