Background Paragraph: An optimal decision is a decision that leads to at least as good a known or expected outcome as all other available decision options. It is an important concept in decision theory. In order to compare the different decision outcomes, one commonly assigns a utility value to each of them. If there is uncertainty as to what the outcome will be, then under the von Neumann–Morgenstern axioms the optimal decision maximizes the expected utility (a probability–weighted average of utility over all possible outcomes of a decision). 
Story: John and Keith are playing a decision making game. They have three decisions to make decision A, decision B, and decision C. Decision A and decision B have certain outcome, but decision C's outcome is uncertain. John would apply optimal decision making process while Keith would rather rely on his hunches.
In respect to decision C, would John's strategy most likely maximize or not maximize the expected utility? In respect to decision C, would Keith's strategy most likely maximize or not maximize the expected utility? Who would most likely assign a utility value to each of the decisions, John or keith? Who would most likely fail to make decisions at least as good a known or expected outcome, John or Keith? Who would most likely make decisions at least as good a known or expected outcome, John or Keith? Who would not most likely assign a utility value to each of the decisions, John or keith? Will John most likely assign or not assign a utility value to each of the decisions? Will John most likely make or fail to make at least as good a known or expected outcome? Will Keith most likely assign or not assign a utility value to each of the decisions? Will Keith most likely make or fail to make at least as good a known or expected outcome?