Limitations of Root Cause Analysis

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The RCA model assumes: 1. Linearity 2. The existence of cause and effect relationship 3. That a system can be broken down into components and each fragment analyzed (reductionism). In the past, this has been the prevailing thinking since the 1930s. But in today's reality, many problems have become non-linear with many unknown and unknowable connections amongst human and technical components. For such other problems, other tools are to be preferred. (...) Read more? Sign up for free

		A. Achour Analyst, Germany
	Limitations of Root Cause Analysis One point to add on RCA models if I may. RCA as known generally focuses on problems then moves on to cause and effect to get to the root cause. I find this approach unpractical while 4. problems take different forms from various perspectives. A problem for one party isn't necessarily seen as a problem from another party and this could lead to conflict but if the influential party wins the debate (which is always so), the solution is going to be based on the problem as seen from the stronger party. We see many solutions today resolve the problem core, but give birth to new problems. Another approach which I find a lot more practical is to focus on the effected company goals and from here ellaborate on the cause and effect relationship. In this way, no matter how parties disagree on how they understand the problem, their perspectives on affected goals are all the same.

		Samir Desai
	Limitation of Root Cause Analysis in Management If one hopes that RCA in management problem will a (...)

		A. Achour Analyst, Germany
	Requirements of Root Cause Analysis @Samir Desai: the success of an RCA initiative in (...)

		Bill Wilson Analyst, Canada
	Linearity is Still a Reasonable Assumption Most of the Time @Gary Wong, you mentioned the 1930s as a date of o (...)

		Gary Wong Consultant, Canada
	Apply Complexity Science @Bill Wilson: Thanks for catching my typo; it shou (...)

		Marilyn Huser Analyst, United States
	Linear is Still Reasonable @Bill Wilson: Thank you for covering the analysis (...)