Intersectionality
A framework for understanding how multiple aspects of a person's identity (race, gender, class, disability, sexuality, and others) overlap and interact to create unique experiences of privilege, discrimination, and systemic inequality that can't be understood by examining any single identity factor alone.
- What Is Intersectionality?
- Origin and Development of the Concept
- How Intersectionality Affects Workplace Outcomes
- Why Most DEI Programs Miss Intersectionality
- Intersectionality Statistics and Research
- How to Apply Intersectionality in HR Practice
- Common Misunderstandings About Intersectionality
- Frequently Asked Questions About Intersectionality
What Is Intersectionality?
Key Takeaways
- ✓Intersectionality recognizes that people hold multiple identities simultaneously, and these identities interact to shape their experiences in ways that can't be understood by looking at one identity at a time.
- ✓The term was coined by legal scholar Kimberle Crenshaw in 1989 to describe how Black women faced discrimination that wasn't captured by race-only or gender-only legal frameworks.
- ✓In the workplace, intersectionality means a disabled woman of color doesn't experience "disability discrimination plus gender discrimination plus racial discrimination." She experiences a unique form of compound discrimination.
- ✓Most corporate DEI programs still track diversity along single dimensions (% women, % people of color), which misses how outcomes differ for people at intersections of multiple identities.
- ✓An intersectional approach to HR means disaggregating data, examining policies for compound impacts, and creating programs that address overlapping barriers rather than isolated ones.
Intersectionality starts with a simple observation: people aren't defined by a single identity. A Black woman isn't Black on Monday and a woman on Tuesday. She's both at the same time, and her experience at work is shaped by how those identities interact with each other and with workplace systems. Kimberle Crenshaw developed the concept in 1989 after studying employment discrimination cases where Black women's claims were dismissed because they didn't fit neatly into either "race discrimination" (which was measured against Black men) or "sex discrimination" (which was measured against white women). Their unique experience at the intersection of race and gender wasn't recognized by the legal system. The same gap exists in most corporate DEI programs today. Companies report that they have 48% women and 22% people of color in leadership. But how many women of color are in leadership? How many disabled LGBTQ+ employees? How many older women of color in technical roles? Without intersectional analysis, diversity data can paint a misleading picture of who actually has access to opportunity. Intersectionality isn't about ranking oppressions or creating a victimhood hierarchy. It's an analytical tool that helps organizations see patterns that single-dimension metrics miss. And those patterns have real consequences for pay, promotion, belonging, and retention.
Origin and Development of the Concept
Understanding where intersectionality came from helps explain what it's designed to do.
Crenshaw's foundational work
Kimberle Crenshaw, a legal scholar at UCLA and Columbia, coined the term in her 1989 paper "Demarginalizing the Intersection of Race and Sex." She analyzed the case DeGraffenreid v. General Motors, where Black women sued GM for discrimination. The court ruled that GM hired Black people (men, in maintenance jobs) and women (white women, in secretarial jobs), so there was no race or sex discrimination. The court couldn't see the discrimination because it was happening at the intersection. Neither the race framework nor the gender framework captured it.
Beyond race and gender
Crenshaw's original framework focused on race and gender, but the concept has since expanded to include all intersecting identities: class, disability, sexual orientation, gender identity, religion, national origin, age, immigration status, and more. The principle is the same regardless of which identities are intersecting: the compound experience isn't reducible to the sum of individual experiences.
From legal theory to workplace practice
Intersectionality moved from academic law journals into corporate DEI programs in the 2010s, accelerated by social movements and growing awareness that surface-level diversity metrics weren't producing equitable outcomes. Today, organizations that apply intersectional analysis to their people data consistently uncover disparities that aggregate metrics hide.
How Intersectionality Affects Workplace Outcomes
The data shows that employees at the intersection of multiple marginalized identities experience compounded disadvantages.
| Outcome | Single-Identity Finding | Intersectional Finding |
|---|---|---|
| Pay gap | Women earn 84c per dollar vs men (BLS) | Black women earn 64c, Latina women earn 57c, per dollar vs white men (NWLC, 2024) |
| Promotion rate | Women are promoted 13% less often than men (McKinsey) | Women of color are promoted 23% less often than white men, and 12% less often than white women (McKinsey, 2023) |
| Belonging | 77% of white employees feel they belong at work | Only 58% of Black women and 55% of LGBTQ+ people of color report feeling they belong (Catalyst, 2024) |
| Microaggressions | 49% of women report microaggressions | 64% of Black women and 71% of LGBTQ+ women of color report microaggressions (McKinsey, 2023) |
| Leadership representation | 28% of C-suite are women | Only 6% of C-suite are women of color (McKinsey Women in the Workplace, 2023) |
| Attrition | Women leave at 1.5x the rate of men | Women of color leave at 2.1x the rate of white men (Mercer, 2024) |
Why Most DEI Programs Miss Intersectionality
Even well-intentioned DEI programs often fail employees who sit at the intersection of multiple identities.
Single-axis data collection
Most organizations track diversity metrics along individual dimensions: percentage of women, percentage of people of color, percentage of employees with disabilities. These numbers get reported separately. A company might celebrate reaching 50% women in management while the actual breakdown is 47% white women, 2% Asian women, and 1% combined for Black, Latina, and Indigenous women. The headline number looks great. The intersectional reality doesn't.
ERGs that silo identities
Employee Resource Groups are typically organized around single identities: Women's Network, Black Professionals Group, LGBTQ+ Alliance, Disability Network. But where does a disabled Black woman go? She might join all three, but none of them centers her specific experience. Cross-ERG programming and intersectional ERGs (like groups for women of color or LGBTQ+ employees of color) address this gap.
One-size-fits-all inclusion programs
Mentorship programs, leadership development tracks, and sponsorship initiatives often treat "diverse" employees as a homogeneous group. But the barriers a white woman faces in reaching the C-suite are different from the barriers a Black man faces, which are different from the barriers a disabled queer woman of color faces. Programs designed for the most visible diversity dimension often fail the people who face the most complex barriers.
Intersectionality Statistics and Research
Research data highlights the gaps that only intersectional analysis reveals.
How to Apply Intersectionality in HR Practice
Moving from theory to practice requires changes in how organizations collect data, design programs, and evaluate outcomes.
- Disaggregate all people data by multiple identity dimensions simultaneously. Don't just report "women in leadership." Report it by race, age, disability status, and location. The intersections are where hidden patterns live.
- Audit pay equity intersectionally. Run the analysis for women, for people of color, and for women of color specifically. The compound gap is almost always larger than either single-dimension gap.
- Design benefits and policies with intersectional needs in mind. A parental leave policy that doesn't account for single parents, adoptive parents, LGBTQ+ parents, or parents with disabilities is solving for one intersection while ignoring others.
- Create cross-ERG programming that addresses intersectional experiences. Host events co-sponsored by the Women's Network and the Black Professionals Group specifically for Black women. Create spaces for disabled LGBTQ+ employees.
- Include intersectionality in manager training. Managers need to understand that a Black woman on their team may face challenges that aren't captured by either "race" or "gender" discussions alone.
- Set intersectional representation goals, not just aggregate ones. "40% women in leadership" is a single-axis goal. "Ensure women of color represent at least their workforce proportion in leadership" is intersectional.
- Use inclusion surveys that allow employees to self-identify across multiple dimensions and analyze results at the intersections. This reveals whether your inclusion efforts are reaching everyone or only the most visible groups.
Common Misunderstandings About Intersectionality
The concept is frequently mischaracterized. Clarifying what it is and isn't helps organizations apply it correctly.
It's not an oppression Olympics
Intersectionality doesn't rank identities or claim that more marginalized identities are more valuable. It's an analytical framework that says overlapping identities create unique experiences. A white disabled man, a Black able-bodied woman, and a Black disabled woman all face different barriers. Intersectionality doesn't say one has it "worse." It says each experience is distinct and deserves its own analysis.
It's not only about disadvantage
Intersectionality also describes how identities create privilege. A white, able-bodied, cisgender man occupies multiple privileged identities simultaneously. Understanding intersectionality helps everyone see how different identity combinations create different starting points in the workplace, both advantaged and disadvantaged.
It's not only about identity politics
Intersectionality is a data analysis approach. When you slice your engagement survey results by gender alone, you see one story. When you slice by gender and race, you see a different story. When you add disability status, you see yet another story. It's about looking at data from multiple angles to find patterns that aggregate views obscure. That's just good analytics.
Frequently Asked Questions
How do I collect intersectional data without invading employee privacy?
Can a company with limited diversity still use an intersectional approach?
How is intersectionality different from diversity?
Is intersectionality relevant in countries outside the US?
How do I explain intersectionality to skeptical leadership?
Written by Adithyan RK