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.
Collaboration is one of the most frequently cited drivers of workplace productivity, and also one of the most frequently misunderstood. The evidence for collaboration is genuine. Diverse inputs tend to produce more robust decisions, particularly for complex problems where no single person holds all the relevant information. The evidence for the costs of collaboration is […]
One of the most important limitations of psychometric tools is the risk of using the profiles as fixed labels rather than as dynamic descriptions of natural tendency. The research is consistent. Psychometric assessments measure tendencies, not fixed traits. When profiles are treated as permanent labels, several well-documented problems emerge: a fixed mindset around capability, a […]
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 […]
The transition into a first leadership role is one of the most significant professional shifts most people will make, and the research on what makes it successful is worth understanding. The evidence consistently shows that the skills most valued in individual contributors, technical expertise and specialist knowledge, are not the primary drivers of leadership effectiveness. […]
Direct behavioural profile comparisons between two people are less common in the psychometric landscape than most realise. Many widely used tools, including MBTI, DISC, and CliftonStrengths, are designed to generate individual profiles only. Practitioners can manually compare two profiles, but interpretation is left entirely to the facilitator, meaning depth and consistency varies considerably. Among platforms […]
Remote and hybrid working arrangements have become a permanent feature for many organisations, and the research on their impact on productivity, wellbeing, and team cohesion is more nuanced than most technology vendors acknowledge. The evidence does not support a single conclusion. Some research suggests remote working improves individual productivity for certain task types. Other research […]
