Pymetrics Games Interpreting Trait Profiles 4 — Questions and Answers
Question 1: A pymetrics profile shows low 'Fairness' scores. In the context of the Ultimatum Game, this most likely means the candidate:
- Rejected all offers below 50% of the total
- Accepted very low offers without pushing back (Correct answer)
- Always proposed equal splits to the other player
- Refused to participate in the negotiation task
Correct answer: Accepted very low offers without pushing back
Low fairness in pymetrics typically reflects accepting or proposing highly unequal allocations without resistance, indicating lower equity sensitivity.
Question 2: Which pymetrics trait is most strongly associated with the ability to recover quickly after making an error during a task?
- Generosity
- Cognitive Flexibility (Correct answer)
- Attention
- Risk Tolerance
Correct answer: Cognitive Flexibility
Cognitive flexibility allows individuals to adapt their strategy and mental approach after mistakes rather than perseverating on a failed approach.
Question 3: A sales manager reviewing pymetrics results wants candidates who are persistent despite rejection. Which trait combination best predicts this?
- High Emotion Recognition + Low Effort
- High Effort + High Learning (Correct answer)
- Low Risk Tolerance + High Fairness
- High Attention + Low Generosity
Correct answer: High Effort + High Learning
High effort (persistence through difficulty) combined with high learning (adapting from setbacks) is the strongest predictor of sales resilience.
Question 4: If pymetrics reports a trait as 'not measured' for a specific role benchmark, this means:
- Candidates skipped that game
- That trait did not predict performance differences among top vs. average performers in that role (Correct answer)
- The trait data was corrupted
- Candidates scored identically on that trait
Correct answer: That trait did not predict performance differences among top vs. average performers in that role
Pymetrics only includes traits in a role's benchmark that statistically differentiated high performers from average ones; irrelevant traits are excluded.
Question 5: A candidate's pymetrics profile is labeled 'high variability.' What does this most likely indicate?
- The candidate is highly creative
- The candidate's performance fluctuated significantly across game rounds, suggesting inconsistent behavior (Correct answer)
- The candidate scored high on multiple traits
- The candidate completed the assessment faster than average
Correct answer: The candidate's performance fluctuated significantly across game rounds, suggesting inconsistent behavior
High variability in pymetrics signals inconsistent decision-making patterns across trials, which may indicate difficulty sustaining performance under pressure.
Question 6: Which pymetrics game MOST directly measures a candidate's sensitivity to negative feedback?
- Balloon Risk (BART)
- Stop Signal Task (Correct answer)
- Towers of Hanoi
- Money Exchange (Dictator Game)
Correct answer: Stop Signal Task
The Stop Signal Task measures response inhibition after receiving stop signals (negative feedback), revealing how well a candidate modulates behavior when told to halt.
Question 7: A company uses pymetrics to build a benchmark for a Customer Success Manager role. Which group should be used as the reference population?
- All employees at the company regardless of role
- Top-performing Customer Success Managers already in the role (Correct answer)
- All Customer Success Manager applicants from the past year
- A random sample of the general working population
Correct answer: Top-performing Customer Success Managers already in the role
Pymetrics benchmarks are built from high performers in the specific target role to ensure the model predicts role-relevant success.
Pymetrics Games Interpreting Trait Profiles 4
A pymetrics profile shows low 'Fairness' scores.
In the context of the Ultimatum Game, this most likely means the candidate: