Image Description: An illustration showing an word cloud of demographic categories, such as “gender”, “age”, “disability”, “parent status”, “location”, “LGBTQIA+”, “carer status”, “occupation”, “ethnicity”, “marital status”, and “education”.
Step 3: Know the demographic you want to reflect
Ideally, the diversity of companies and their leadership would accurately reflect the demographic composition of the country they’re in; not just the state, city, or locale where they do business. Particularly in the United States, residential segregation of marginalized groups has been imposed by explicit federal, state and local policy as well as private acts of prejudice. This segregation impacts the demographic composition and racial and ethnic breakdowns of cities and neighborhoods. Setting diversity targets based on state, city, or locale demographics would invariably be affected by this discrimination. We therefore focus on the demographic composition of the country as a whole in order to set diversity targets less affected by this discrimination.
Large organizations like Google are expected to have workforces that accurately reflect the demographic composition of the country they’re in. With thousands of employees and over 20 offices in the US alone, they have seemingly endless resources and an extensive, diverse available talent pool to draw from. Even so, such organizations display a severe lack of representation of marginalized groups. Having accurate representation can be even more difficult for smaller companies that may not have the same level of resources and available talent pool.
Versett currently has offices in Calgary, Alberta and Toronto, Ontario in Canada as well as New York City, New York in the United States. New York City is one of the most diverse cities in the United States; Ontario is the most diverse province in Canada. In an effort to reflect the diversity and available talent pools we have access to we’ve proportionately drawn together the demographics of the Alberta, Ontario, and New York City populations (rather than that of the United States and Canada as a whole) to create our diversity targets.
Another approach we found is the idea that companies should consider reflecting the demographic composition of the client and user base they currently and/or desire to serve if it is more diverse than the demographic composition of the country they’re in. A workforce that reflects its diverse userbase can better serve, connect with, and understand the challenges of their users, increasing user satisfaction and the likelihood that your products will meet the needs of your diverse customer population. Relatively homogenous client and user bases should not be considered when creating diversity targets as their needs are better met by diverse and inclusive companies that drive innovation and create better products.
Most of our current and past clients are located in the states and provinces where we have offices. As our client and userbase expands, we will revisit our D&I targets.
The last approach we found is the idea that companies should reflect the demographic composition of the workforce of the country they do business in. The demographic composition of a society’s workforce usually differs from the overall population; for example, White people make up more than 80 percent of workers in the United States while the population is approximately 61 percent White, with Whites seeing higher wages and lower unemployment. Minorities have a harder time getting jobs and are paid less than similarly situated White workers.
We decided to base our diversity targets on the demographics of the overall working-age population in Alberta, Ontario, and New York City. We defined this as aged 18–67 to account for anyone from college students to the age of retirement in the US when you receive full benefits.