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Author: Jack Jager

Here are the top 6 sure-fire ways to kill off a Root Cause Analysis program

1. Don’t use it.

The company commits to the training, creates an expectation of use and then doesn’t follow through with commitment, process and resources! Now come on, how easy is it to devalue the training and deliver a message that the training was just to tick someone’s KPI box and that the process doesn't really need to be used.

2. Don’t support it.

Success in Root Cause Analysis would be the ultimate goal of each and every defect elimination program. To achieve success however, requires a bit more than just training people in how to do it. It requires structures that initially support the training, that mentor and provide feedback on the journey towards application of excellence and thereafter have structures that delineate exactly when an investigation needs to take place and that delivers clear support in terms of time and people to achieve the desired outcome. Without support for the chosen process the expected outcomes are rarely delivered.  

3. Don’t implement solutions.

To do all of the work involved in an investigation and then notice that there have been no corrective actions implemented, that the problem has recurred because nothing has changed, has got to be one of the easiest ways to kill off a Root Cause Analysis process. What happens when people get asked to get involved in RCAs or to facilitate them when the history indicates that nothing happens from the efforts expended in this pursuit? “I’m too busy to waste my time on that stuff!”  

4. Take the easy option and implement soft solutions.

Why are the soft controls implemented instead of the hard controls? Because they are easy and they don’t cost much and we are seen to be doing something about the problem. We have ticked all the boxes. But will this prevent recurrence of the problem? There is certainly no guarantee of this if it is only the soft controls that we implement. We aren’t really serious about problem solving are we, if this is what we continue to do?   

5. Continue to blame people.

The easy way out! Find a scapegoat for any problem that you don’t have time to investigate or that you simply can’t be bothered to investigate properly. But will knowing who did it, actually prevent recurrence of the problem?

Ask a different question! How do you control what people do? You control them or more correctly their actions by training them, by putting in the right procedures and protocols, by providing clear guidelines into what they can or can’t do, by creating standard work    instructions for everyone to follow and by clearly establishing what the rules are in the work place that must be adhered to.

What sort of controls are these if we measure them against the hierarchy of controls? They are all administrative controls, deemed to be soft controls that will give you no certainty that the problem will not happen again. We know this! So why do we implement these so readily? Because it is the easy way out! It ticks all the boxes, except the one that says “will these corrective actions prevent recurrence of the problem?”

We all understand the hierarchy of controls but do we actually use it to the extent that we should?  

6. We don’t know if we are succeeding because we don’t measure anything.

You get what you measure! When management don't implement or audit a process for completed RCAs it sends a strong message that there is no interest, or little, in the work that is being done to complete the analysis.

Tracking KPIs like, how many RCAs have been raised against the triggers set? How many actions have been raised in the month as a result and, of those actions raised, how many have been completed? If management is not interested in reviewing these things regularly along with the number of RCAs subsequently closed off in a relevant period, then it won't be long before people notice that no one is interested in the good work being done.

The additional work done to complete RCAs will not be seen as necessary, as it's not important enough to review and the work or the effort in doing this will then drop away until it's no longer done at all.

Another interesting point is that if only the number of investigations is reported, and there is no check on the quality of the analysis being completed, then anything can be whipped up as no one is looking! If a random audit is completed on just one of the analyses completed in a month then this implies that the quality of the analysis is important to the organisation. 

What message do we send if we don’t measure anything?

In closing, the first step on the road to implementing an effective and sustainable Root Cause Analysis program is to pinpoint what's holding it back. These Top 6 sure-fire ways to kill off a Root Cause Analysis program will help you identify your obstacles, and allow you to develop a plan to overcome them. 

Author: Kevin Stewart

 
This question was posed to a discussion group and it got me thinking how do you grade an investigation?

The overall success will be whether the solution actually prevents recurrence of the problem.  One definition of Root Cause Analysis is: “A structured process used to understand the causes of past events for the purpose of preventing recurrence.” So a reasonable assessment of the quality of the analysis would be to determine whether the RCA addressed the problem it set out to fix by ensuring that it never happens again (this may be a lengthy process to prove if the MTBF of the problem is 5 years, or has only happened once). 


Are there some other tangibles that can help you assess the quality of an RCA?  RCAs use some sort of process to accomplish their task. If this is the case then it would stand to reason that there will be some things you can look for in order to gauge the quality of the process followed. While this is no guarantee of a correct analysis, ensuring that due diligence was followed in the process  would lend more credibility to the solutions.


What are some of these criteria by which you can judge an analysis?

• Are the cause statements ‘binary’? By this we mean unambiguous or explicit. A few words only and precise language use without vague adjectives like “poor” since they can be very subjective.

• Are the causes void of conjunctions? If they have conjunctions there may be multiple causes in the statement. Words such as: and, if, or, but, because.

• Is there valid evidence for each cause? If causes don't have evidence they may not belong in the analysis or worse yet solutions may be tied to them and be ineffective.

• Does each cause path have a valid reason for stopping that makes sense? It is easy to stop too soon and is sometimes obvious. For example, if a cause of “no PM” has no cause for it so that the branch stops, it would seem that an analyst in most cases would want to know why there was no PM.

• Does the structure of the chart meet the process being used? If it is a principle-based process then it should be easy to check the causal elements to verify that they satisfy those principles. These might be causal logic checks or space time logic checks or others that were associated with the particular process.

• Is the chart or analysis completed? Does it have a lot of unfinished branches or questions that need to be answered or action items to complete?

• Is the chart or analysis completed? Does it have a lot of unfinished branches or questions that need to be answered or action items to complete?

• Are the solutions SMART (Specific, Measurable, Actionable, Relevant, and Timely)? Or do they include words like: investigate, review, analyze, gather, contact, observe, verify, etc.

• Do the solutions meet a set of criteria against which they can be judged?

• Do the solutions address specific causes or are they general in nature?  Even though they may be identified against specific causes if they don’t directly address those causes then it may still be a guess.

• If there is a report, is it well written, short, specific and cover just the basics that an executive would be interested in? Information such as cost, time to implement, when will it be completed, a brief causal description and solutions that will solve the identified problem are the requisites.

Having watched one of the best Olympic Games ever this summer in London, with some jaw dropping performances being witnessed, it left me thinking about the reasons behind the athlete’s success. What is it that makes an athlete want to win, what gives them the desire to train every day for a chance of winning an Olympic medal?

Whilst listening to British Cycling’s performance director Dave Brailsford, he discussed the success of the British cycling team. “The whole principle came from the idea that if you broke down everything you could think of that goes into riding a bike, and then improved it by 1%, you will get a significant increase when you put them all together”, he said. According to Dave it was these ‘marginal gains’ that underpinned the team’s success.

All of the athletes now need to build on the success of the London Olympics and prepare for Brazil in 2016. How will they recreate the success? How will the athletes break down their achievements into its smaller parts just like the British cycling team?

Do these athletes understand the ‘root causes’ of their success?

Let’s look at the definition of “root cause”:

“Any cause in the cause continuum that is acted upon by a solution such that the problem does not recur” (Dean Gano, A New Way of Thinking, Apollo Root Cause Analysis)

Whilst this definition is valid for solving problems that we don’t want to happen again, we may need to identify root causes of success, just like the Olympic athletes as they prepare for Brazil.

So instead of the term “Problem Definition” traditionally used in the Apollo Root Cause Analysis methodology, we can replace it with the term “Success Definition”.

The Realitychart that results from following the Apollo Root Cause Analysis methodology will no doubt have many conditions such as ‘tenacity’, ‘perseverance’, and ‘dedication’, along with actions such as ‘up at 5am’ and ‘run 10 miles’.

So whilst we do need to solve problems in the workplace and break them down into their smaller parts to achieve the marginal gains for improved plant performance; we also need to understand when our targets have been achieved and performances have exceeded last year’s requirements. Why did we achieve what we set out to achieve? Or, what went well? In this case, it’s not about preventing a problem from recurring but rather repeating a success.

Performing Root Cause Analysis on success is quite possibly a new concept but one that should not be ignored.