Making good decisions in an environment of abundant data is a genuine challenge. More or better data does not automatically produce better decisions. Beyond a certain threshold, additional data can actively impair decision quality through cognitive overload. The real problem most leaders face is knowing which data matters for the specific decision at hand.
Several frameworks have genuine evidential support. Structured deliberation, separating the generation of options from their evaluation, consistently produces more considered outcomes. Pre-mortem analysis surfaces blind spots. Seeking perspectives from people whose style differs from yours is one of the most documented ways of reducing personal bias.
Where people data is concerned, including psychometric data from platforms like Peak Output, the evidence suggests it is most valuable when it informs the framing of a decision rather than determining its outcome. It is least useful as the primary basis for a significant personnel decision.
People data is a lens, not a verdict. It is most useful when it sharpens the questions you are asking rather than supplying the answers. The leaders who make the best use of it are not those who have the most data, but those who have the clearest sense of what they are trying to understand and who hold the data lightly enough to remain genuinely curious about what it might be missing.
