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Data-Driven DEI
Data-Driven DEI
The Tools and Metrics You Need
to Measure, Analyze, and Improve
Diversity, Equity, and Inclusion
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Lawrence Hibbert
I am because we are!
Contents
AC KN OWL E D GMEN TS xi
I N T ROD U CT I ON xiii
vii
viii Contents
NOT E S 271
ABOU T TH E AU T HO R 277
I N D E X 279
Acknowledgments
D
ata-Driven DEI has leveraged the contributions of countless individuals and
organizations. First and foremost, I would like to sincerely thank all my col-
leagues at BCT Partners, including the executive leadership team, leadership
team, DEI community of practice, and various lines of business that reflect our leading
expertise in diversity, equity, inclusion, research, evaluation, analytics, learning, and
beyond. Our mission at BCT Partners, to harness the power of diversity, insights, and
innovation to transform lives, accelerate equity, and create lasting change, and our
pioneering work that spans the globe in service to this mission, undergird everything
captured within this book.
At BCT, I am enormously grateful to Lawrence Hibbert, president, for our part-
nership and his leadership; Peter York, principal and chief data scientist, for his input,
reviews, and feedback; Damita Byrd, senior director of DEI, David Hunt, senior direc-
tor of health equity, and Riikka Salonen, managing director of health equity, for their
advice and assistance; Jaan Bernberg, for leading the development of the scorecards,
dashboards, and mobile app mockups; Stacey Gatlin and Stephanie Snider, for help-
ing coordinate the numerous moving parts; and Kate Jordan, Patricia Neuray, Tanisha
Washington, Freida Hughes, and Amira Pinkett, for their support of the website. I
would like to thank my colleagues at our joint venture partner, N-Touch Strategies,
including Natasha Williams and Dr. Jenae Harrington, for their contributions to the
research and development. I would also like to thank BCT’s clients, who have been
essential and instrumental to the growth of our data-driven DEI work and more, ex-
pressly Milton Anderson, managing partner at Korn Ferry and former executive vice
president and chief administrative officer at RWJBarnabas Health; Leah Wallace, for-
mer senior vice president of workforce development and DEI at Citigroup; and Dennis
Pullin, president and chief executive officer and Rhonda Jordan, executive vice presi-
dent and chief human resources officer, at Virtua Health.
I am especially thankful to my mentors, Vincent R. Brown and Dr. Janet B. Reid,
and our colleagues Patricia Melford, LaToya Everett, Pamela Ramsey, A ngie Dodge,
and Lena Ryals at VRBC and BRBS World; Steve Mahaley at Red Fern and Allison
Mahaley at Red Fern and The Dialogue Company; Dr. Amanda Felkey at Lake Forest
College; Ann Herrmann-Nedhi, Karim Nehdi, JT Thompkins, and Anne Griswold at
Herrmann International; Julie O’Mara, Alan Richter, and Nene Molefi, authors of the
Global Diversity, Equity & Inclusion Benchmarks (GDEIB), and Sudeep Mohandas
at the Centre for Global Inclusion; Edward Boon at Promote International; Larry
Mohl at Rali; Emily Aiken at IDI LLC; Lamont Robinson at RLC Diversity; Richard A.
Kreuger and Mary Anne Casey at the University of Minnesota; Dr. M ichael McAfee,
Josh K irschenbaum, Michael Hassid, and Jennifer Tran at P olicyLink; Gamiel Yafai at
Diversity Marketplace; Jane Wesman and Andrea Stein at Jane Wesman Public Rela-
tions; and Sheilisa McNeal-Burgess.
Thank you also to the entire literary team at Wiley, including Richard Narramore,
Deborah Schindlar, Dawn Kilgore, Michelle Hacker, Jeanenne Ray, Jozette Moses,
Michelle Hacker, Gayathri Ganesan, Philo Antonie Mahendran, Jessica Filippo, and
Kate Wimpsett. I am eternally indebted to Mike Campbell, former acquisitions editor
at Wiley, for not only being the catalyst for this book but also for being a tremendous
xi
xii Acknowledgments
thought partner, prompting me to think deeply and critically about the book’s fram-
ing, and helping strengthen its content by challenging my ideas in very positive and
powerful ways. This acknowledgment is a minor gesture compared to your major role
in bringing this book to fruition.
Last, but certainly not least, to the extent this book was a formidable undertaking,
I am deeply appreciative of my entire family and village of friends, including my lov-
ing wife, Natasha, children, Amira, Jaz, Marquis, and Aniyah, and above all, God, with
whom all things are possible, for the strength, the space, the stamina, and the support
to see it to completion.
—Dr. Randal Pinkett
www.randalpinkett.com
www.bctpartners.com
www.datadrivendei.com
Introduction
DEI is a journey, not a destination.
DEI can be measured and managed.
W
hen I first met Steve, he and his organization were in a very difficult situa-
tion. Steve had been long criticized for his lack of leadership, particularly
with women and people of color, while he maintained that his management
style was an effective one. His team was dysfunctional and lacked cohesion and trust.
Moreover, while Steve’s team bore some diversity, he was a member of the organiza-
tion’s senior leadership team, which bore little to no diversity. In stark comparison,
their employee base and the communities surrounding their office locations reflected
the full range of societal diversity. Like many organizations, while they had good inten-
tions to improve diversity, equity, and inclusion (DEI), their efforts had largely failed
due to a lack of acknowledgment and agreement about the issues they were facing,
and the impact was severe. Employee engagement was low. They were losing people of
color, particularly in middle management. They were under significant pressure from
employees to diversify their senior ranks and create a more inclusive culture. Steve
knew that he and his organization desperately needed help, and he lobbied to hire my
firm, BCT Partners, to help his organization improve their DEI.
After engaging in several conversations with leaders about their mission and vi-
sion for DEI, our next step was to conduct several assessments: an implicit bias and
cultural competence assessment for all leaders and managers, and a culture and cli-
mate assessment for the entire organization, including a survey, interviews, and focus
groups. I vividly recall two pivotal moments in the early stages of this engagement.
The first pivotal moment was with Steve in a one-on-one coaching session where we
discussed his implicit bias and cultural competence assessment results. He was stunned.
Not only did the data clearly affirm his blind spots, particularly on matters relating to
race/ethnicity and gender, but also his inability to navigate differences. The data cata-
lyzed a personal epiphany. Thereafter, Steve was motivated to do the personal work of
DEI, which is often the most challenging yet impactful, by undertaking a journey of per-
sonal learning, development, and growth. Today, he is seen as a more competent, cred-
ible, and capable colleague in the eyes of his peers (and a better person in the eyes of his
friends and family) and has the tools, data, and metrics to know he is making progress.
The second pivotal moment was when my colleagues at BCT presented the results
of the culture and climate assessment to the organization’s senior leadership team. I
could feel the tension in the room. We knew there was resistance to DEI in the senior
ranks and, as a result, the assessment experienced significant delays. In fact, one of
the reasons we administered the implicit bias and cultural competence assessments for
leaders and managers was to meet people like Steve where they were in their DEI jour-
ney while opening a candid dialogue about their commitment to DEI (or lack thereof).
This was a very data-driven organization that prided itself on science, evidence, and
xiii
xiv Introduction
facts. They grilled our data science team about their sampling techniques and statistical
analyses. They challenged them on their assessment methods and analytical models.
They prompted them to probe deeper into their facts and their findings. By the time
the tense meeting was over, the senior leadership team was convinced that they had is-
sues, and they committed to undergoing change. The data catalyzed an organizational
commitment. They were invigorated to do the organizational work of DEI, which they
acknowledged would be a marathon not a sprint. We proceeded to work with them to
develop and execute a DEI strategic plan that led to several DEI initiatives along with
the key performance indicators (KPIs) to gauge progress, measure results, and demon-
strate impact. Today, they have proudly been recognized as one of the top companies for
their corporate diversity practices and among the top employers for women, people of
color, veterans, working families, and members of the LGBTQIA+ community.
My experience with Steve and his organization speak to a very valuable lesson:
data matters to DEI.
To be clear, data is not the end-all and be-all to DEI. It is not a panacea, nor do I
intend to frame it in this way. The point of this book is that data, while not the entire
DEI puzzle, is a very important piece.
W. Edwards Deming is frequently and incorrectly quoted with the famous phrase
“If you can’t measure it, you can’t manage it.” Ironically, Deming’s full quote is, “It is
wrong to suppose that if you can’t measure it, you can’t manage it.” According to the
W. Edwards Deming Institute, “Dr. Deming did very much believe in the value of using
data to help improve the management of the organization. But he also knew that just
measuring things and looking at data wasn’t close to enough. There are many things
that cannot be measured and still must be managed.”1 Fortunately, DEI is not one of
those things, as you can measure it and manage it. There are several factors that contrib-
ute to a successful personal and organizational DEI journey, and data is one of them.
I liken data to the instrument panel on a plane. Long before there were instru-
ment panels, people were able to fly planes. It was significantly harder without the
instrument panel. Instrument panels have made the journey more efficient and ef-
fective at every step along the way. Similarly, improving DEI can be achieved without
data, but it is significantly harder. Data makes the journey more efficient and effective
at every step along the way.
It is also important to acknowledge that data has its own shortcomings and imper-
fections. It is not neutral. At different points throughout this book, I address the topics
of “data bias” and “algorithmic bias”—those are how data carries and inherits its own
assumptions and biases, as a reflection of human assumptions and biases. I will help you
to recognize different kinds of data and algorithmic biases, and how to mitigate them lead-
ing to deeper understanding and greater impartiality along your Data-Driven DEI journey.
1. Diversity of People: Diversity is growing across our globe including with respect
to race and ethnicity. It is predicted that the world’s middle-class population will
STEP 0
DEI Incentives—
Self-Reflect and
Introspect
INCENTIVES
Self-Reflect & Introspect
DEI
Profile &
Baseline
1
DEI INVENTORY
Outputs & Seek Understanding
Outcomes
(Perform Assessment)
5 2
IMPACT IMPERATIVES
Evaluate Results Determine Priorities
Data-Driven
DEI
DEI TM Objectives &
Goals
DEI
4 3
Strategies &
Measures INITIATIVES INSIGHTS
Undertake Action Identify “What Works”
DEI
Promising &
Proven Practices
1
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