Overview
What is pymetrics?
pymetrics, from the company in New York, uses cognitive data and AI to help their clients make their hiring and internal mobility more predictive and less biased. pymetrics replaces the resume as a first-pass filter by assessing candidates based on…
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Product Details
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What is pymetrics?
pymetrics Technical Details
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Reviews
Community Insights
- Pros
- Cons
Gamified approach: Reviewers appreciate the gamified approach of pymetrics, which makes the assessment engaging and enjoyable. Some users found that the games interface in pymetrics was clear, concise, and easy to use. Several reviewers thought that pymetrics did a good job of engaging candidates in the recruitment process with its gamified application.
Debriefing feature: The debriefing feature in pymetrics is appreciated by multiple reviewers as it provides information and insights about their results after completing the assessment. Users liked that they could gain valuable feedback on their strengths and areas for improvement from this feature.
Convenient result saving: Multiple reviewers liked that pymetrics saved their results so they could conveniently use the platform for future job applications without having to retake the assessment. This feature was particularly helpful for those who were looking for new opportunities or planning to change jobs.
Inaccurate Assessment Results: Several users have expressed disappointment in the accuracy of the assessment results provided by pymetrics. They claim that the personality traits categorized for them did not match their true personalities, and the information in the results was opposite to how they actually think.
Games Don't Accurately Assess Abilities: Many reviewers have criticized pymetrics' assessment games, stating that they are more like reaction tests rather than accurately assessing their abilities.
Assessment Redundancy: Some users feel that pymetrics’ assessment is redundant since most candidates end up being a match for the profiles generated. Additionally, older candidates do not like the assessments and usually fall out from the process.