Explanation:
The pymetrics assessment is a tool used by companies to evaluate job candidates and help them identify the best fit for a particular role. It is designed to assess a range of cognitive, social, and emotional traits and abilities, such as problem-solving, attention to detail, teamwork, risk-taking, and resilience, among others.
The assessment is based on a series of games and tasks that candidates complete online, which are designed to measure various cognitive and emotional attributes. The data collected from these tasks are then used to create a unique profile of each candidate, which can be compared to the traits and abilities that are typically required for success in a given role.
The ultimate goal of the pymetrics assessment is to help companies make more objective and data-driven hiring decisions, reduce unconscious bias in the recruitment process, and improve the overall quality of their talent acquisition efforts.
Explanation:
Pymetrics was founded by Frida Polli and Julie Yoo in New York City in 2013. Both Polli and Yoo have backgrounds in neuroscience and technology, and they created Pymetrics to help organizations leverage the latest advances in cognitive neuroscience and machine learning to improve their hiring processes. Since its founding, Pymetrics has become a leading provider of AI-powered talent assessment solutions, serving clients across a wide range of industries and geographies.
