From an early age, we're surrounded by stereotypes - whether it's the nurturing mother figure or the ‘draw a scientist’ experiment. These beliefs shape our worldview, often unconsciously.
While we've accepted stereotypes as part of society, they can harm workplace inclusion. By removing them, you not only foster diversity but also improve the quality of hire and team performance.
In this post, Emil Novák-Tót, former Head of Research at Develop Diverse, explains how stereotypes work, their impact on inclusion, and how our AI Smart Editor helps identify and eliminate them.
A stereotype is a mental shortcut where we assume certain groups behave in specific ways. This happens across gender, age, ethnicity, disability, and neurodiversity.
While stereotypes can seem harmless, they limit opportunities and persist unless challenged. They’re based on generalizations, which don’t reflect the true diversity of individuals within any group. For example, assuming someone on the autism spectrum is only good at spotting patterns overlooks their full skill set and preferences.
Studies show individual variation within any group is larger than between groups. Operating on stereotypes makes it harder to identify the best fit for a job or effectively allocate tasks.
Examples of stereotypes include:
At first glance, some stereotypes may seem more overtly harmful than others — but all of them can contribute to exclusion. This is because stereotypes can and do have an impact on everything from who applies to a job, to who gets promoted, who gets paid more, and ultimately, who ends up leading your company.
When we highlight a stereotype in your content, we’re not suggesting harm or banning specific words. Instead, we aim to show how certain terms, shaped by cultural biases, can negatively impact others.
We’re not saying women aren’t ambitious. Rather, women have historically been discouraged from being ambitious, and stereotypes like this still limit access to the workplace for many groups.
Our platform identifies biased language, highlights which groups are impacted, and explains why. This helps you understand how your language might be perceived by different identity groups.
Meta-stereotypes - beliefs people think others have about them - are key in understanding how certain language triggers biases. For example, the phrase ‘ambitious candidate’ might activate a meta-stereotype among women, who are often discouraged from showing ambition at work. This could lead to women being seen as aggressive when they do.
By recognizing stereotypical language, we can shift our habits, particularly in job ads, to avoid reinforcing these biases. This awareness can also serve as a diagnostic tool to identify hidden biases in workplace culture and help address their root causes.