Optimize job descriptions for greater inclusion
Leverage sophisticated algorithms powered by scientific research to write more effective job descriptions and content.
Real-time feedback helps you create job listings that equally attract male, female, and other underrepresented candidates.
Our optimizer analyzes job descriptions and identifies problematic words shown in research to detract underrepresented applicants from applying.
We go beyond gender parity to help you attract a broad and diverse pool of applicants.
- Gendered terms
- People of color
- People with disabilities
Currently being researched:
Scientific research is shown to be more accurate than searching the web for hosts of job descriptions and hoping to find patterns or trends for words that may cause people not to apply. Artificial intelligence is subject to the bias of the humans who created it and crowdsourcing acts as a guessing game.
Through research, thousands of subjects are asked in surveys if certain terms cause them not to feel comfortable applying. Inclusive terms are also identified where candidates have greater comfort in applying. Because we stick to data validated by research, we know the impact our words have on people.
Inclusive job descriptions attract diverse candidates.
The words we use matter. When writing job descriptions, we frequently use terms scientifically proven to be problematic and push diverse candidates away from applying.
Scientific research conducted for nearly a decade has identified words that cause candidates – females, people of color, and people with disabilities, to not apply for our open positions.
Load and analyze job descriptions in seconds.
Review each problematic term highlighted along with its inclusive replacement.
Make optimizations that fit your needs.
Easily copy and paste job descriptions to and from the platform.