Pymetrics used blind auditions to increase women matched to finance roles by 30%

Tech workforces were dominated by white men, and the article described how culture fit could make similarity to an existing employee base the main interview criterion. That risk narrowed access to qualified talent and perpetuated homogeneity.

Pymetrics chose to change the hiring mechanism itself. It combined gamification, blind auditions, and fairness-through-algorithms to reduce bias in screening. Its whitepaper, Methodically Breaking The Glass Ceiling, reported a 30% increase in women matched to financial-services positions.

Crunchbase News said the result likely made it easier for Pymetrics to justify an $8 million Series A announced on September 20, bringing total funding above $16 million.

A company whitepaper reported a 30% increase in women matched to financial-services positions; an $8M Series A lifted total funding above $16M.

Culture-fit interviews can prioritize similarity to the existing employee base.

A homogeneous workplace can reduce access to qualified talent.

Blind auditions change the screening signal before conventional résumé cues dominate.

A measurable matching result gave the approach an outcome investors could assess.

If culture-fit hiring rewards the existing team, redesign the selection signal: hide résumé cues, test relevant behavior, and measure who advances.

Pymetrics was the best-funded startup in the article's diversity-focused cohort. The cohort had nearly a dozen startups with a little over $66 million raised, versus nearly $863 million for the recruiting sector in 2016—evidence that a promising intervention still operated in a small funding lane.