Racial Bias in ATS Technology: A Case Study on Cutting Black Bias by 18%

Could your applicant tracking system be perpetuating discrimination against Black candidates?

Racial Bias in ATS Technology: A Case Study on Cutting Black Bias by 18%

Could your applicant tracking system be perpetuating discrimination against Black candidates?

Download the report now

Could your applicant tracking software be racist?

Whether recruiters realize it or not, an applicant’s gender, ethnicity, or socio-economic background can influence recruiting decisions, robbing your company of precious talent, unfairly depriving the applicant of opportunity, and contributing to systemic discrimination.

Our study of over 20,000 applicants, shows that legacy ATS platforms enable inequitable hiring processes that lead to severe discrimination amongst Black and Asian candidates.

Download the report today to learn how legacy ATS technology discriminates against non-white candidates.

In the report, you'll learn:

What role unconscious bias plays in a typical application tracking system

How automated screening systems can discriminate against candidates

How bias is reduced with the Headstart platform

How legacy, enterprise ATS platforms prevent fair and equal hiring