Pymetrics Games Cheat Sheet 2026
The 30 highest-yield Pymetrics Games facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.
12 questions
30 min time limit
70% to pass
- Which cognitive process is most closely linked to performing well on flexibility tasks in Pymetrics games? → Inhibitory control and working memory updating
- A Pymetrics candidate is risk-averse in the gain domain but risk-seeking in the loss domain. This pattern is most consistent with: → Prospect theory as described by Kahneman and Tversky
- Which of the following is NOT a dimension typically measured by Pymetrics risk and decision-making games? → Typing speed and accuracy
- In Pymetrics attention tasks, 'sustained attention' refers to which ability? → Maintaining focus on a single task over an extended period
- In the context of Pymetrics assessments, 'loss aversion' is best described as: → Feeling the pain of a loss more strongly than the pleasure of an equivalent gain
- What does the 'effort allocation' component of some Pymetrics tasks reveal about a candidate? → How much work they are willing to exert for different reward levels
- Who founded Pymetrics and in which city? → Two Harvard and MIT-trained PhDs in New York
- A pymetrics profile shows high 'Emotion Recognition' and high 'Fairness.' Which career path is this MOST aligned with? → Mediation or HR business partner role
- Pymetrics' planning games often include 'sunk cost' scenarios. You've spent 3 hours on a failing strategy. The RATIONAL planning choice is to: → Abandon the strategy if a better alternative exists, regardless of time spent
- In the Balloon Game, a candidate who consistently stops pumping very early (e.g., after 1–2 pumps) is likely signaling which trait? → Extreme risk aversion
- In Pymetrics visual pattern matching games, what cognitive skill is being evaluated when you must identify the shape that completes a series? → Visual-spatial reasoning ability
- The 'Memory' trait in pymetrics is most relevant for predicting performance in which scenario? → Holding and manipulating multiple pieces of information to solve a problem
- How does Pymetrics build the benchmark it uses to evaluate candidates for a specific role? → By having current high-performing employees in the role complete the games
- In the Pymetrics 'Stop Signal' game, what cognitive ability is primarily being evaluated? → Inhibitory control and impulse suppression
- Which of the following best describes 'set shifting' as measured through Pymetrics games? → Moving from one cognitive rule or mental framework to another
- In a Pymetrics task where you plan a sequence of 6 steps and can only see 2 steps ahead at a time, the BEST approach is to: → Plan the full sequence by repeatedly looking 2 steps ahead and building forward
- In cognitive science terms, what process does a Pymetrics 'card flip' memory game primarily rely on? → Visuospatial working memory and location binding
- In the Pymetrics game that presents a facial expression along with a short text describing a situation, what is the core ability being measured? → Emotion Recognition
- In Pymetrics emotional assessments tied to fairness, recognizing 'contempt' accurately in a face is important because contempt in negotiation typically signals: → The other party feels morally superior and may disengage
- Can Pymetrics results be shared by a candidate with multiple companies? → Yes, candidates can share their Pymetrics profile with any employer that uses the platform
- Which of the following is NOT a trait category Pymetrics measures? → Academic aptitude (GPA prediction)
- Pymetrics uses neuroscience-based games instead of traditional personality questionnaires primarily because games are harder to do what? → Fake or socially desirable-respond on
- In the Tower Game (a variant of the Tower of Hanoi), which trait is primarily being evaluated? → Planning and executive function
- In a Pymetrics number sequence task, what does quickly identifying the underlying rule of a series demonstrate? → Pattern recognition and abstract reasoning ability
- A company builds its Pymetrics benchmark from only its top 10% of performers. What risk does this create? → The benchmark may perpetuate existing workforce biases if top performers aren't diverse
- Why is 'attention' considered a prerequisite to memory encoding in Pymetrics assessments? → Information not attended to cannot be transferred from sensory to working memory
- Which candidate behavior during the Balloon Game would most closely resemble 'loss aversion' as defined in behavioral economics? → Cashing out very early to lock in small gains and avoid any risk of losing them
- A candidate scores high on a delayed-recall memory task but low on an immediate-recall task. What might this suggest? → Strong long-term consolidation despite limited working memory capacity
- Which factor most strongly reduces performance on Pymetrics visual memory tasks under time pressure? → Attentional narrowing that limits encoding of peripheral items
- In Pymetrics, when a candidate shows very little performance variation across all game trials, what trait might this reflect? → Consistency and low variability in cognitive output
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