AI Use Case
Optimise job posting descriptions to attract better and more diverse candidates
Optimise job posting descriptions to attract better and more diverse candidates by testing and then applying (for example) more gender neutral descriptive words and phrasing.
Function
Human Resources
Recruitment
Benefits
Operational - Candidate selection,Operational - Staff development,Other - Reduce unconscious bias
Case Studies
Evernote ~Evernote doubles click-to-apply on Glassdoor and attracts ten to forty percent more candidates from underrepresented groups by optimising job descriptions using machine learning,Johnson & Johnson~Johnson & Johnson increased high-quality job applicants by 41% and career site click-through rate by 45% through better candidate-position matching with Jibe,Opower - an Oracle company~Opower increases female hiring by 18% and minority technical hiring by 600% with the use of machine learning to manage the recruitment life-cycle
Potential Vendors
Textio,Jibe,Google Cloud,Entelo
Industry
Data Sets
Text
AI Technologies
Machine Learning (ML),Product Type - Natural Language Processing (NLP)