Partner with leadership
Once Google People Operations had a handle on the science, the team started a conversation with leadership to address the following:
Explaining why a focus on unconscious bias was important and why solving it was in the best interest of employees, candidates, and users. For example, by reducing the influence of unconscious bias teams are more equipped to hire diverse candidates, which in turn helps them create more innovative solutions.
Sharing the science so everyone could participate in an informed conversation about the topic. From hiring to promoting to funding, the negative influence of unconscious bias is well documented, and it's often useful and important to surface the research.
Revealing everyone's unconscious biases helped leadership realize this was something with widespread impact. The Implicit Association Test is a simple and scientific way of measuring unconscious biases across a variety of categories - race, weight, disability, age, sexuality, gender, and more.
Once leaders understood the importance, science, and ubiquity of unconscious bias, they began to help bring the conversation to the rest of the organization.