Question
When proposing possible solutions in the problem-solving framework, several factors should be considered. First, the likelihood of the root cause should be evaluated. This involves assessing the probability that a particular factor is the actual cause of the problem. Second, the risk level of the proposed solution should be considered. This involves evaluating the potential negative consequences that could arise from implementing the solution. It's important to ensure that the solution doesn't end up causing more harm than the original problem. Finally, the potential effectiveness of the solution in addressing the root cause should be considered. This involves assessing whether the solution is likely to effectively resolve the problem.
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Under root cause, the "likelihood" of this root cause could be the quantifiable metric. The root cause column also highlights "information", which is meant to help define how the data is used to identify the root cause. Under possible solutions, the "risk level" of any action to solve the problem could be the quantifiable metric. You don't want your solution to wind up worse than the root problem, after all. The purpose here is that once you do find the root cause of a problem, it will be indicative of what the potential solution could be to solve it. (Slide 19)
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