Let’s read between the lines of diversity data
Stacey A. Gordon, MBA
Bias Disruptor ?? Unapologetic Evangelist for Inclusion ?? Top Voice in Gender Equity ??Global Keynote Speaker ?? #1 Course of LinkedIn Learning (2021)
Welcome to Lead With Inclusion! This weekly newsletter is a resource for EVERY professional. Whether you’re a manager ready to be a more inclusive leader, or an employee ready to be a DEI champion in your workplace, inclusive actions lead to inclusive outcomes. Leading with inclusion simply means starting with inclusive actions in everything you do. It means identifying the areas where bias is at work, and shifting mindsets to make change.?
If you’re not sure where to begin, start here.
Today marks AANHPI Equal Pay Day, marking how long Asian Americans, Native Hawaiians, and Pacific Islanders would need to work to earn as much as white, non-Hispanic men.
April 3rd, you might think, that doesn’t sound too bad.?
Hold on, though. What if you zoom in on the data? What if you disaggregate it? What if you ask, what kind of work is considered? Are there disparities among different groups of AANHPI women?
Be an Inclusive Leader:
I’m actually not here to discuss pay equity (I tackled that here ) but to discuss data.?
Specifically, how data showing “good” progress on diversity, equity and inclusion can mask underlying issues. Consider a workforce with a higher-than-average representation of women and nonbinary folks, BIPOC, and LGBTQ+ individuals. This seems positive, right?
But if you take a closer look, what does the underlying data reveal about who’s on performance improvement plans, or the demographics of individuals laid off or furloughed? How is compensation distributed among different groups? Who is being promoted, and is there a clear path to promotion that works the same way for every employee?
Or, to use AANHPI pay equity as an example: US Census data shows that Asian American, Native Hawaiian, and Pacific Islander women working full time earn $0.93 cents for every dollar made by a white, non-Hispanic man. Again, that doesn’t sound too bad. Only seven cents to go!
Yet a closer look reveals that if you include part-time, part-year, and other workers, earnings-on-the-dollar drop to $0.80. And if you disaggregate the data and look at specific communities (AANHPI is an enormously diverse group), Burmese women make $0.50 cents to the dollar, while Indian women make $1.22:
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Lead with Inclusion:
I cannot stress enough: diversity is in the data.
I go into detail about how to accurately analyze diversity data in chapter 6 of my book, “UNBIAS: Addressing Unconscious Bias at Work”. Order the book for yourself or your team here .
Have you taken more than a superficial look at your company’s data? I encourage you to do so. Start by considering these dimensions of diversity:?
My call to action for you is to look deeper. What story is your data telling you about the unexpected places unconscious bias is alive and well? How might you be contributing to the biases identified above?
What revelations have you discovered upon examining your data more closely? I’ve shared insights from my experiences above, and I'm eager to hear about yours. Please share your ah-hah moments in the comments.
About Stacey Gordon:
Stacey Gordon is Executive Advisor and Founder of Rework Work where she and her team coach and counsel executive leaders on DEI strategies for the business, while offering a no-nonsense approach to unconscious bias education for the broader employee population. As a global keynote speaker, Stacey is a Top Voice on LinkedIn and a popular LinkedIn Learning [IN]structor with nearly two million unique learners enjoying her courses.?
Want to hear Stacey live? Consider booking her for your next keynote or workshop.
Leadership, Vielfalt & Kommunikation ganzheitlich denken | Brückenbauer & Trainer für Teams & Organisationen alle Arten
7 个月“diversity is in the data!” Thank you Stacey A. Gordon, MBA for this insight! ??
??Elevating Equity for All! ?? - build culture, innovation and growth with trailblazers: Top Down Equitable Boards | Across Equity AI & Human Design | Equity Bottom Up @Grassroots. A 25+ years portfolio.
7 个月Digging deeper into diversity metrics is key to real progress! ?? #LeadWithInclusion #GenderEquality
Human Resource Professional | MBA | Coporate Recruiting Professional- ASA | Ex-Wirtgen Group,A John Deere Company
7 个月it's essential for organizations to delve beyond surface-level data and examine factors like geography, family status, and departmental dynamics. By doing so, we can uncover and address unconscious biases that may be perpetuating inequalities. Taking a closer look at compensation distribution, promotion rates, and performance evaluations reveals underlying issues that may not be apparent at first glance. It's not just about the numbers; it's about understanding the stories they tell and taking action to address unconscious biases. Thank you for sharing.
Graduate Business Programs Recruiting Manager | MBA Candidate | Diversity Works, LLC
7 个月Ok I love this post! I wholeheartedly agree that diversity is in the data and should encourage all of us to dig deeper. Celebrating diversity within a company is not enough, and can come off performative and superficial as you mentioned, especially when we are not asking ourselves hard questions or taking action around inclusion and equity. I hope everyone reads this chapter in your book!
Insights For Performance HR Solutions
7 个月Unconscious bias is part of the human condition but it needn't be part of the hiring decision. Objective job fit data mitigates gut feel decisions which are diversity's nemesis.