Soft skill assessments date back 50+ years - we've created a gamified assessment to determine someone’s potential fit or success in a role and mitigate bias.
pymetrics is converging modern cognitive science with cutting edge AI to accurately and scalably assess people to jobs
Cognitive science promotes equity + flexibility in the future of work
Advancements in cognitive science led to two primary differentiators for pymetrics soft skills:
Each step of the pymetrics process has been implemented in compliance with the Uniform Guidelines on Employee Selection Procedures (UGESP). This includes job analysis, criterion-related validation (concurrent validity and predictive validity), reliability, and fairness.
While the Equal Employment Opportunity Commission (EEOC) does not rubber-stamp assessment products as compliant or non-compliant with its guidelines, each step of the pymetrics process was designed with UGESP in mind and is implemented using methods that adhere to these regulations.
Computer Science Professor at Northeastern
A third-party audit of the pymetrics model-building process, including a controlled experimental of the de-biasing capability.
Law Professor at Cornell
A comprehensive ethnography of pymetrics as an AI-based hiring assessment, in support of a National Science Foundation grant.
Economics Professor at MIT
A comparative analysis of the prospects for mitigating bias in human decision-makers versus algorithms.