The 9 Pymetrics trait clusters, decoded

Pymetrics reports roughly 90 individual traits grouped into nine clusters. Most candidate guides oversimplify — here's a plain-English breakdown of what each cluster actually represents.

1. Attention

Sustained focus, distraction resistance, working-memory holding. Measured mainly by the digit-span and arrow-tasks. High attention scores correlate with analyst-track roles.

2. Decision-making

Risk tolerance, ambiguity tolerance, decisiveness. The balloon and card games drive this cluster. Consulting benchmarks tend to favour moderate, consistent decision-making over extreme risk-taking.

3. Emotion

Emotion regulation, response to negative outcomes, recovery speed. Measured via reaction patterns after wins and losses. High recovery scores benefit client-facing roles.

4. Fairness

Equality preference, in-group / out-group bias, ultimatum-game behaviour. The "trust" and "money exchange" games drive this. Most firms weight fairness positively across all roles.

5. Focus

Goal-directed behaviour, task switching, distraction recovery. Distinct from attention — focus measures sustained pursuit, attention measures perception.

6. Generosity

Resource sharing, prosocial behaviour. Mostly measured via the exchange games. Weight varies hugely by firm — banking benchmarks are often neutral, consulting modestly positive.

7. Learning

Speed of pattern detection, adjustment after feedback, recovery from errors. The card-deck game drives this. Almost universally weighted positively.

8. Motor / processing speed

Reaction time, click accuracy. Measured throughout. Less heavily weighted but used as a sanity check — wildly fast or slow processing flags for human review.

9. Social

Cooperation, trust, social perception. Drives the face-reading and exchange games. Important for client-facing roles, less so for purely quantitative tracks.

How firms use it

Employers don't see individual game scores. They see a trait vector compared against their high-performer benchmark. The matching algorithm tolerates moderate deviations on most traits and tight deviations on a few "must-have" ones.

Trying to optimise

If you over-index on one trait by gaming a single game, the others will be inconsistent, and your overall match drops. The system rewards a stable, honest trait estimate more than a high score on any single dimension.