What is a Root Cause Analysis?
A Root Cause Analysis (RCA) is a systematic approach to identify the fundamental causes of a problem, failure or incident. Instead of just addressing the symptoms, RCA focuses on uncovering the underlying reasons for an issue so that it can be permanently resolved and prevented from happening again.
The term RCA refers to a single root cause, but in today’s world you will always find a combination of causes, conditions and failed measures. That’s also the reason that the classical ‘Five Why’s’ methodology is not enough and more comprehensive methods like CoThink Event Mapping are needed.
Why is RCA important?
When facing a problem, jumping to conclusions could be the best approach, but only in the situation that you are 100% sure about your conclusion :-). In all other cases it's better to do an RCA to:
RCA is widely used in industries such as manufacturing, IT, healthcare, aviation, and energy, where failures can have significant consequences.
What is important for a high quality and effective RCA?
It requires a structured approach, the right mindset and collaboration. Key factors that contribute to a successful RCA process are:
Many times we get the question about Ishikawa or fishbone diagram. A well known tool for brainstorming and when properly used it can be a great help.
In most RCA cases it creates a lot of unnecessary work, that's why we recommend to focus on gathering the facts and truly understand the problem first.
When you don't know the answer yet or don't know the normal operation of system or process: what information is missing and how do we get that knowledge or data?
Many times we get the question about Ishikawa or fishbone diagram. A well known tool for brainstorming and when properly used it can be a great help.
In most RCA cases it creates a lot of unnecessary work, that's why we recommend to focus on gathering the facts and truly understand the problem first.
When you don't know the answer yet or don't know the normal operation of system or process: what information is missing and how do we get that knowledge or data?