How is Peak Output different from other offerings?

Several strong profiling tools exist, including DISC, Myers-Briggs, CliftonStrengths, and Hogan, each with genuine value depending on your goals. The key distinction is between point-in-time and ongoing insight, as each serves different purposes with different trade-offs.

Point-in-time tools generate awareness in a specific moment, but retaining that awareness is a challenge. Ebbinghaus's forgetting curve research suggests people can lose up to 75% of what they've learned within 24 hours without reinforcement, which is worth considering when evaluating any insight-based intervention.

Ongoing platforms refresh as team compositions change and are designed to address retention directly, but carry their own risks: adoption fatigue, inconsistent usage, and data overload. Research also indicates that access to ongoing data does not automatically produce behavioural change; that requires intentional application.

Point-in-time tools suit specific, bounded purposes with lower commitment. Ongoing platforms require greater investment in adoption, embedding, and organisational readiness.

Peak Output is built as an ongoing platform, but whether it is the right fit depends on what your organisation is genuinely looking for and your honest assessment of your capacity to sustain that engagement. Both approaches have their place. What matters most is matching the approach to the problem you are trying to solve.