For some, making a decision can be anxiety-inducing. For others, decision-making spurs excitement. Metrics are meant to offer a way to make decisions easier to make, or more successful on average. However, this is only possible if the correct measures are being used, as well as in the correct context. This poses an issue because the amount of data being collected has been rising exponentially, and the context for this data becomes confusing if the person analyzing it does not know what they are doing. This brings up the question of how useful data can be in our every day lives, especially when viewed in the context of who is analyzing it. For those who struggle with making a decision, does additional data provide clarity, or does it only cloud the picture further and exacerbate the decision-maker’s issue. Alternatively, for someone who is usually confident in decision-making, does more data help strengthen their resolve, or introduce doubt? Should one group use their intuition more than the other? Is one group more likely to have success in the long-run? Ironically, data on the predispositions of decision-makers may enable a better analysis of the data itself. Does it make any difference, and how would this be quantified, recorded, measured, and applied? Is it something that should be considered in teams where individuals have to make decisions that influence everyone? All of these are things that can be evaluated about the analysis of data.