Modern Hire Enhances Automated Interview Scoring Solution, Reducing Bias And Improving Hiring Outcomes

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Modern Hire, the leading enterprise hiring platform for video interviews and pre-hire assessments, has announced enhancements to its Automated Interview Scoring (AIS), an on-demand interview feature that evaluates candidate responses and provides hiring teams with recommended scores using rigorously developed advanced AI models.

One of the most pressing recruiting difficulties confronting businesses today is choosing applicants promptly and responsibly, while also providing an interesting and confidence-building interview experience for both hiring teams and prospects.

Clients receive Modern Hire’s unique Question Sets validated across sectors and positions, as well as rated applicant suggestions, with the company’s latest edition of AIS – features particularly designed to eliminate bias, expedite time to hire and deliver best-fit recruiting results.

Clients receive Modern Hire’s unique Question Sets validated across sectors and positions, as well as rated applicant suggestions, with the company’s latest edition of AIS – features particularly designed to eliminate bias, expedite time to hire and deliver best-fit recruiting results.

“The advancement of Automated Interview Scoring demonstrates that Modern Hire is the market leader in enterprise hiring,” stated Karin Borchert, CEO of Modern Hire. “From screening, scheduling, and interviewing to complex prospect assessments based on CognitIOn, our unique engine for ethical selection science, Modern Hire’s dedication to seriously better-recruiting drives every improvement and innovation to our intelligent hiring platform.”

Hiring teams can now use Modern Hire’s verified Question Sets developed for several job families, including banking and financial services, healthcare, insurance, manufacturing, retail, call center, professional, and sales across entry-level, experienced, and managerial roles, thanks to AIS’s new features. Candidate replies to separate questions are evaluated, then automatically merged into a single candidate score, with AIS producing ranked suggestions, reducing the strain on hiring teams and ensuring consistency in the criteria used to evaluate prospects.