Quality Management

What is the best way to handle Root Cause Analysis (RCA) for recurring customer complaints?

D Asked by David Harris · 05-11-2023
0 upvotes 9,531 views 0 comments
The question

We keep seeing the same issues popping up in our monthly quality reports despite having "fixed" them previously. Our current 5-Whys approach seems too shallow. What other RCA tools would you recommend for complex, recurring quality issues that involve multiple departments? 

3 answers

0
BE
Answered on 10-01-2024

If the 5-Whys is failing you, it’s likely because you are stopping at a "human error" instead of looking at the "system failure." I highly recommend moving to a Fishbone (Ishikawa) Diagram to categorize potential causes into Man, Method, Machine, Material, Measurement, and Mother Nature (Environment). This forces you to look outside the immediate department. Following that, perform a Failure Mode and Effects Analysis (FMEA) to prioritize which causes are most likely to recur. FMEA gives you a Risk Priority Number (RPN) which helps in allocating resources to the most critical failures first. Don't just fix the symptom; fix the process that allowed the error to happen.

 

0
CH
Answered on 22-01-2024

Have you considered that the "recurring" nature might be due to poor verification of the corrective action? Sometimes we implement a fix but never go back to check if it actually worked six months later. 

JA 28-01-2024

Christopher, that is a fair point. Our CAPA (Corrective and Preventive Action) process doesn't currently have a mandatory "long-term effectiveness check." How long do you usually wait before declaring a root cause officially "closed" and the fix a success?

0
K
Answered on 05-02-2024

Try "Pareto Analysis" before the RCA. It will show you which 20% of the causes are creating 80% of the complaints, so you can focus your RCA efforts where they matter most. 

DA 10-02-2024

Karen's advice is spot on. Using a Pareto chart helps narrow down the noise so that your Fishbone diagram doesn't become overly cluttered with insignificant variables.

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