The comedian Keegan Michael Key spoke recently regarding his personal experience with police discrimination. He claimed that despite being pulled over by the police often due to being Black, the officer typically recognizes him from his work and lets him go. He believes that what makes him different, is that officers know a “story” about him. They associate him to what they have seen on screen, and so he becomes “humanized” in their eyes. I couldn’t agree more. If you’ve read some of my previouso articles on the importance of powerful storytelling in the workplace, they describe a similar idea.
Let’s face it – our society and many of our organizations encourage us, in many ways, to see people not as humans but as numbers, by default. That is often how we learn to quantify our success – “How Many.”
For a cop: How many people did I pull over and give a ticket to?
For an individual: How many friends/contacts do I have?
For a sales team: How many customers bought a product?
And for a D&I team: How many minorities did we recruit and hire?
To some extent, analyzing from this vantage point is useful and efficient. But it can also be dangerous, if it’s the only vantage point. Because the downfall with this method of quantifying success is, of course, that we can sacrifice quality.
In the example of the cop – there is the risk of punishing the wrong individuals, who don’t deserve it. In the example of the individual – there is the risk of having tons of superficial relationships and still, at the end of the day, being very lonely. In the example of a sales team – there is the risk of not ultimately retaining these customers and even having to provide refunds, by not fully understanding their needs. And finally, for diversity and inclusion, there is the risk of employee disengagement and attrition once hired, leading to poor operating efficiency.
So, quality gives us deeper information – the kind of information we need to retain that customer or employee, by really knowing them and understanding their needs. The kind of information a police officer needs to identify the right suspect beyond just choosing any black man. Quality gives depth and dimension to our data, so we make better decisions.
Diversity is Not Just a Box to Check.
The business imperative for diversity and inclusion is now well established by industry research. A Deloitte report noted that organizations with diverse and inclusive cultures were 6 times more likely to be innovative and agile, 8 times more likely to achieve better business outcomes, and twice as likely to meet or exceed financial targets. At the same time, a whopping 40% of employees in the US noted that they left their workplaces due to issues of discrimination and harassment.
Thus, a diverse and inclusive culture is not built only through recruiting and hiring a certain number of “minorities”. Over the past years, we have made major strides in people analytics and measuring diversity and inclusion in workplaces – but are we even measuring the right things?
As I often mention, what feels to really be missing in the work of corporate D&I currently is the “soft stuff”: Empathy. Heart. Storytelling. Experiences. Appreciating the value of the human at all stages of the employee experience.
An Underwhelming Experience
Several years ago, when I was still working at Accenture, I was contacted about a senior position within a diversity and inclusion consulting firm.
I had high hopes to get to know this company and the revolutionary tools and strategies they must be using to solve diversity problems in workplaces. Tools that, I imagined, would involve integrating data with qualitative information and creative workplace strategies.
Before speaking with me, the company asked me to complete a case exercise. Fair enough, I thought. It would be an exciting way to learn more about their work and the innovative solutions they were bringing to the table, and I would also get to provide my unique perspective.
The case study turned out to be a basic numbers comparison of recruiting pipelines vs. headcount at a fictional company. The task was to simply calculate percentages (yes, numerator divided by denominator), compare diversity across the ‘2 genders’ and 5 ‘ethnic groups.’
Based on about 20 data points, the exercise asked for recommendations on how the fictional client should, theoretically, fulfill the company’s diversity quotas and goals…….(yawn). There was nothing related to real, actionable or strongly data-driven strategies that would improve team performance, employee retention, and engagement on an ongoing basis.
After submitting the case and finally speaking with the team, I learned that indeed, the company’s work was very similar to the underwhelming case study. I did attempt to bring in my own ideas of redefining diversity into the discussion, but I was met with pushback and skepticism.
Unfortunately, this was not the revolutionary work that I knew is really needed to optimize diversity and inclusion. This was the work of checking boxes/meeting quotas, by performing rudimentary data analyses.
So I said “thank you” and politely bowed out of the opportunity, all the more determined to reshape diversity and inclusion consulting with my own efforts.
D&I Falls Flat When It’s All About Numbers
The problem was the company was trying to solve a loaded, multifaceted problem, while discounting the complexity of it.
Diversity and inclusion are so much more than how we define them today. ‘Intelligence’ and ‘insight’ are so much more than what we think they are.
They are achieved through recognizing and honoring an individual. Assessing their fit in the company through the unique combination of that person’s stories, experiences, values, skills, and motivations. Not just what they look like; not just what they call themselves; and not just how they perform on a standardized assessment.
Thus, the approach to diversity ultimately falls flat if we are not including the human, subjective aspect through storytelling. D&I is not only about fulfilling quotas. It is not about following rules by the book and trying to assess human beings like machines— no, that is what caused the problem in the first place.
If a company claims to care about people and culture, it cannot treat people like just a number or metric.
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