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Why Root Cause Analysis Can Lead to a Dead End

Traffic congestion has become unbearable. People are complaining and officials have promised to solve the problem using root cause analysis. What could prevent finding a solution?
Problems require clear definition before starting the analysis. Ambiguous problems will not lead to good answers.
The business problem framework allows the customer to identify the initial structure. The analyst and consultant can suggest an appended structure and the customer has final approval over the problem structure.
Data is merely a snapshot of attributes we believe represent how the mechanism appears to operate at the moment we observe it. Data coupled with intuition can't identify causality.
The inductive approach allows the customer and consultant to identify factor causality and then the customer and analyst can estimate/ calculate factor correlation.
Root causes might be valid but there are no potential counter measures to resolve them/ Actionable counter measures must exist to be useful.
Data effectiveness methodology filters identified root causes to only those that have actionable counter measures.
Some counter measures may be valid but unavailable and/or undesirable by the customer. All counter measures must be valid options.
The business problem framework allows the customer to identify initial options, a consultant can suggest additional; options, and the customer has final approval over all options.
Executing counter measures (Options) according to heuristics will not guarantee an optimal solution. Execution must be optimal to maximize the likelihood of achieving problem goals.
Advanata allows the customer to identify their goals and constraints and then work with the consultant and analyst to identify the parameterized structure. The machine then finds the optimal option activation and outputs the optimal complete solution.
To benefit from root cause analysis, the problem must be precisely defined before identifying root causes which must be actionable, desirable, and causal before moving on to optimize the problem and satisfy our goals.

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