intersectionality in dei training: why it matters

Many diversity, equity, and inclusion (DEI) training programs organize learning around single identity categories—race, gender, disability, or age. This structure makes content easier to teach, but it can unintentionally oversimplify how people experience the workplace. Most individuals do not navigate professional spaces defined by just one aspect of identity. Instead, multiple dimensions of identity operate simultaneously, shaping access to opportunities, perceptions of credibility, and experiences of belonging.

When DEI efforts focus on only one dimension at a time, they can miss important nuances. Workplace challenges rarely fit neatly into a single category. An employee’s experience may reflect the interaction of several identities, creating dynamics that single-category approaches fail to capture. Without recognizing these layered realities, organizations risk designing solutions that support some employees while overlooking others.

Intersectionality offers a more accurate and practical lens. In simple terms, it recognizes that people’s experiences are shaped by the combination of their identities—not by any single one in isolation. This blog explains what intersectionality means, why it matters in workplace settings, how it shows up in real organizational scenarios, and how leaders can apply it in training, systems, and decision-making to create more effective, behavior-centered change.

table of contents

• what is intersectionality

• why intersectionality is essential for inclusive learning

• real-world examples of intersectionality in the workplace

• how to integrate intersectionality into dei training content

• applying intersectionality to systems and data

• challenges and cautions: avoiding tokenism and harm

• reframe52’s intersectional design approach

what is intersectionality

Intersectionality is the idea that overlapping identities, such as race, gender, disability, socioeconomic background, caregiving status, and more, shape people’s experiences. These identities interact—not separately—to influence access to opportunity, workplace treatment, and career outcomes.

Kimberlé Crenshaw’s groundbreaking article showed that traditional legal and social analyses often miss how discrimination works in the lives of people who belong to more than one marginalized group. In her work, she explained that focusing only on race or gender separately can hide the specific ways racism and sexism combine to affect individuals whose identities overlap multiple social categories. By centering these intersecting experiences, Crenshaw demonstrated the importance of examining how systems of power interact rather than considering identity traits in isolation.

In practical terms, intersectionality helps explain why workplace experiences differ even within the same demographic group. For example, organizational research consistently shows variation in promotion rates, leadership opportunities, and retention within broad identity categories.

Intersectionality shifts the focus from isolated diversity categories to interconnected realities. Instead of asking, “How do women experience this workplace?” intersectional thinking asks, “How do different women experience this workplace—and why?”

This distinction improves both diagnosis and solution design.

why intersectionality is essential for inclusive learning

Intersectionality strengthens DEI training by aligning learning with real human experiences rather than simplified categories.

When organizations report diversity metrics only in broad categories — such as “women” or “racial minorities” — they often miss important within-group disparities that emerge when identities intersect. Empirical research using large workforce survey data has shown that Black women, for example, are significantly less likely than their peers to receive basic workplace protections like regular break access. This disparity would be obscured by reporting only aggregated gender or race figures.

Intersectional analysis prevents the erasure of smaller or less visible experiences within broader identity groups by:

• revealing how combined identities create unique barriers;

• showing which subgroups lag even when overall representation improves;

• informing interventions that are targeted rather than superficial.

Inclusion becomes more precise — and more actionable — when it is grounded in intersectional data rather than average outcomes.

Second, intersectional learning strengthens psychological safety — the shared belief that individuals can contribute without fear of negative consequences.

Psychological safety improves learning, engagement, and team performance by making it clear that diverse perspectives are respected and welcomed.

Research on identity safety and workplace climate shows that when environments affirm and value employees’ social identities, individuals from stigmatized groups experience less identity threat, better well-being, and stronger motivation to participate fully. Contexts that communicate acceptance and support reduce stress and increase the likelihood that people feel comfortable speaking up, raising concerns, and offering ideas — all core aspects of psychological safety.

Broad workforce metrics can obscure important inequities affecting performance and inclusion outcomes.

For example, overall promotion rates or wage gaps reported for broad categories like “women” or “racial minorities” might appear moderate. Yet, they can conceal distinct patterns of disadvantage when identities intersect. Research analyzing U.S. labor market data shows that earnings are shaped not just by gender or race independently, but by their combination — producing unique patterns across subgroups that would be invisible if identities were treated separately.

Intersectional analysis enables organizations to:

• pinpoint which subgroups lag despite apparent aggregate progress

• uncover structural barriers that aggregated numbers obscure

• design precise interventions tailored to specific inequities

With detailed, intersectional diagnostics, organizations move from surface-level metrics to real insight about where inclusion is — and isn’t — working.

Finally, intersectional learning strengthens belonging. Belonging is strongly linked to engagement, retention, and performance. When training reflects the complexity of real experiences, employees are more likely to connect with the material and apply what they learn.

Intersectionality makes inclusion more accurate, more practical, and more sustainable.

real-world examples of intersectionality in the workplace

Intersectionality becomes most useful when applied to real workplace situations.

race and gender

Research shows that career advancement patterns vary within gender groups depending on additional identity factors. McKinsey’s “Women in the Workplace” report demonstrates differences in leadership representation, advancement rates, and career outcomes across groups.

Generic advice, such as encouraging assertiveness or visibility,y may affect employees differently depending on how behaviors are perceived in context.

Intersectional awareness helps organizations tailor leadership development and evaluation practices more fairly.

disability and age

Employees with invisible disabilities—such as chronic illness, neurodivergence, or mental health conditions—often encounter additional barriers. These challenges may intersect with age-related assumptions about adaptability or performance.

Research from the American Psychological Association highlights that workplace inclusion varies by overlapping identity dimensions, affecting access to opportunities and support.

Intersectional training helps organizations recognize and address these layered barriers.

lgbtq+ identity and workplace inclusion

LGBTQ+ employees’ experiences vary significantly depending on other identity factors and workplace environments. Research from the Williams Institute at UCLA shows variation in workplace openness, discrimination risk, and inclusion outcomes across groups.

Training that reflects these differences improves relevance and effectiveness.

caregiving and workplace expectations

Caregiving responsibilities influence workplace outcomes across industries. Research on the “motherhood penalty” shows that mothers are often perceived as less competent and less committed than non-mothers, leading to lower hiring recommendations, reduced starting salaries, and fewer advancement opportunities. In contrast, fathers do not experience the same penalty and may even benefit from perceptions of increased stability.

These patterns reflect how caregiving expectations intersect with gender norms and workplace assumptions about availability and leadership potential. Intersectional training helps organizations examine how caregiving status interacts with identity, role expectations, and performance standards — ensuring policies and leadership practices do not unintentionally reinforce bias.

how to integrate intersectionality into dei training content

Integrating intersectionality into DEI training requires intentional design.

design realistic, multi-dimensional scenarios

Training scenarios should reflect the complexity of real workplace experiences. Composite case studies—based on research and real patterns—help learners understand how overlapping identities shape workplace interactions.

This improves both relevance and learning transfer.

avoid single-category case studies

Single-axis scenarios reinforce simplified thinking. Intersectional scenarios encourage deeper understanding and more effective decision-making.

Research shows that behavior-focused training is more effective than awareness-only approaches.

center experiences without placing a burden on individuals

Inclusion work should never rely on participants to carry the educational weight of their identities.

Research on workplace microaggressions — everyday verbal, behavioral, or environmental slights experienced by marginalized groups — shows these interactions can directly harm employees’ psychological well-being, reduce job satisfaction, and undermine a sense of belonging. Being put in a position where one person must represent an entire group’s experience can increase stress and reduce psychological safety for those individuals, especially in settings with unequal power dynamics.

Effective DEI learning designs protect people’s dignity. They do this by:

• Using anonymized or composite narratives that illustrate patterns without exposing individuals.

• Focusing examples on systemic dynamics rather than personal disclosure.

• Ensuring participation in the discussion is voluntary rather than expected.

• Reinforcing psychological safety so that learning is accessible to all.

Composite storytelling allows participants to recognize real patterns of bias and exclusion while protecting individuals from bearing the emotional and cognitive burden of representing entire groups.

Inclusion improves when psychological safety is valued as much as awareness.

Focus on practical behaviors

Effective intersectional training builds skills such as:

• Recognizing structural barriers

• Asking inclusive questions

• Supporting fair decision-making

• Evaluating policies and processes

Behavior-based training produces stronger organizational outcomes.

applying intersectionality to systems and data

Intersectionality delivers the most value when applied to systems — not just training.

analyze workforce data across dimensions

High-level demographic data offers context but can hide important differences within groups. For example, overall promotion rates for women may appear stable while specific subgroups experience slower advancement. Reviewing recruitment, promotion, retention, and engagement data across intersecting identities improves accuracy and reveals where barriers truly exist. Strong measurement leads to stronger inclusion.

examine policies and processes

A layered review of hiring, evaluation, pay, and advancement systems helps identify structural friction points and supports more consistent decision-making.

Use data to drive targeted action

Intersectional data shifts organizations from broad awareness to focused, evidence-based improvements — increasing both fairness and effectiveness.

challenges and cautions: avoiding tokenism and harm

Intersectionality strengthens training — but only when applied carefully. Poor design can create pressure, confusion, or symbolic efforts that fail to improve systems.

Avoid asking individuals to represent entire groups. 

No one speaks for a whole identity category. Use research and composite examples instead, and keep personal sharing voluntary.

Avoid oversimplification. 

Intersectionality is not a hierarchy of hardship. It is a tool for understanding how systems operate. Focus on structural patterns and outcomes — not comparison.

Avoid performative inclusion. 

If intersectional language appears in training but not in hiring, evaluation, or leadership decisions, trust erodes. Sustainable impact requires alignment with systems and accountability.

Ensure facilitator readiness. 

Skilled facilitators maintain psychological safety, redirect discussions toward behaviors and structures, and manage complexity constructively. Preparation and alignment with leadership expectations increase the likelihood that learning translates into measurable change.

reframe52’s intersectional design approach

reframe52 designs training that reflects the real complexity of workplace experiences. Rather than isolating identity categories, learning scenarios acknowledge how overlapping identities influence opportunity, credibility, and access within organizational systems.

Intersectionality is embedded not only in training modules, but also in leadership development and broader systems conversations — including hiring, evaluation, promotion, and accountability processes. The goal is alignment between learning and decision-making structures.

Content is refined through continuous feedback, data review, and practical application to ensure it remains relevant and inclusive. Most importantly, reframe52 emphasizes behavioral and structural change. The focus is not on labeling identities, but on improving systems, strengthening leadership practices, and producing measurable outcomes.

conclusion

Inclusive workplaces require learning strategies that reflect real human complexity. Intersectionality offers a practical framework for understanding how overlapping identities shape access to opportunity, perceptions of fairness, and day-to-day workplace experiences. When organizations rely on simplified identity categories, they may unintentionally overlook structural barriers and limit the impact of their inclusion efforts.

By strengthening diagnostic accuracy, intersectionality helps leaders identify patterns that broad data can miss. It supports more informed decision-making, more equitable systems, and a deeper sense of belonging across teams. Rather than serving as abstract theory, it functions as a tool for evaluating policies, leadership behaviors, and accountability structures.

Organizations can begin by auditing current training materials, reviewing workforce data through a layered lens, and aligning development efforts with measurable outcomes. To advance behavior-centered, system-level inclusion, explore Reframe52’s intersectional learning resources and implementation guides.

references

Crenshaw, Kimberle (1989) "Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics," University of Chicago Legal Forum: Vol. 1989, Article 8. https://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8/?utm_source=

Correll, S. J., Benard, S., & Paik, I. (2007). Getting a Job: Is There a Motherhood Penalty? 1. American journal of sociology, 112(5), 1297-1339. https://gap.hks.harvard.edu/getting-job-there-motherhood-penalty?utm_source=

Cullen, Z., & Perez-Truglia, R. (2023). The old boys’ club: Schmoozing and the gender gap. National Bureau of Economic Research Working Paper No. 26530. https://www.nber.org/papers/w26530

Edmondson, A. (1999). Psychological safety and learning behavior in work teams. https://journals.sagepub.com/doi/10.2307/2666999

Devine, P. G., & Ash, T. L. (2021). Diversity training goals, limitations, and promise: A review of the multidisciplinary literature. Annual Review of Psychology, 73, 403–429. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919430/

Harknett, K., & Colleagues (2024). Can’t catch a break: Intersectional inequalities at work. PubMed Central (PMCID: PMC11062619). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11062619/

Greenman, E., & Xie, Y. (2008). Double jeopardy? The interaction of gender and race on earnings in the United States. PubMed Central (PMCID: PMC4631221). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631221/

McKinsey & Company. Women in the Workplace. https://www.mckinsey.com/featured-insights/diversity-and-inclusion/women-in-the-workplace

Williams Institute, UCLA School of Law. https://williamsinstitute.law.ucla.edu/publications/lgbt-workplace-discrimination/

Salari, N., Fattah, A., Hosseinian-Far, A., Larti, M., Sharifi, S., & Mohammadi, M. (2024). Prevalence of workplace microaggressions and racial discrimination: A systematic review and meta-analysis. PubMed Central. https://pubmed.ncbi.nlm.nih.gov/PMC11410492/