pymetrics Ratings (September 2025)

This page breaks down pymetrics ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand pymetrics’s overall reputation. This data-driven overview will show you exactly how pymetrics is rated - including how it compares to competitors.

pymetrics's Overall Rating Summary

  • Average Rating:3.5/5
  • Total Reviews:13 reviews
  • Sources:G2, Capterra, Producthunt, Getapp, Facebook
  • Last updated:September 1, 2025

pymetrics Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
3.5/5
5+ reviews01.09.25
Capterra logoCapterra
1/5
1+ reviews01.09.25
Producthunt logoProducthunt
1/5
1+ reviews07.07.25
Getapp logoGetapp
1/5
1+ reviews01.09.25
Facebook logoFacebook
5/5
5+ reviews05.08.25

What is pymetrics?

pymetrics is a soft skills platform that uses data-driven behavioral insights and audited AI to create a more efficient, effective, and fair hiring process across the talent lifecycle. The platform employs gamified behavioral assessments to evaluate candidates' true potential and builds custom algorithms to improve talent engagement, mobility, and retention. pymetrics also offers solutions for early careers, high volume hiring, professional hiring, career and succession planning, leadership development, and workforce diversity.

🤔 pymetrics vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How many stars is pymetrics rated?

pymetrics has an average star rating of 3.5 out of 5 stars based on average of 13 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from pymetrics public reviews pages on platforms: G2, Capterra, Producthunt, Getapp, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for pymetrics is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.