Incorporating Multiple Identity Variables in Data Collection

To effectively integrate intersectionality into DEI data metrics, organizations should collect data that captures multiple identity factors such as race, gender, age, disability status, sexual orientation, socioeconomic background, and more. By doing so, organizations can analyze how overlapping identities influence experiences and outcomes, rather than examining each category in isolation.