Measuring diversity and inclusion without intersectional data provides an incomplete picture of an organization’s progress. This leads to misguided strategies and missed opportunities to improve recruitment processes and workplace experiences for all employees.

Measuring diversity and inclusion without intersectional data provides an incomplete picture of an organization’s progress. This leads to misguided strategies and missed opportunities to improve recruitment processes and workplace experiences for all employees.

Empowered by Artificial Intelligence and the women in tech community.
Like this article?

Interested in sharing your knowledge ?

Learn more about how to contribute.

Sponsor this category.