Case Study: Elara Caring cuts time to offer and saves recruiter hours with Phenom Voice Screening Agent

A Phenom Case Study

Preview of the Elara Caring Case Study

Elara Caring cuts time to offer by nearly half with Phenom

Elara Caring, one of the country's largest home-based care providers, faced a significant challenge in scaling its high-volume hiring. Their recruiting process, which operated during standard business hours, was fundamentally mismatched with the non-traditional schedules of their caregiver candidates, creating a major bottleneck. This inefficiency prevented them from promptly reaching thousands of applicants each month. To address this, they partnered with vendor Phenom to implement a solution using their Voice Screening Agent service.

Phenom's solution was a conversational AI voice screening agent named Emma, which was available to candidates 24/7. This allowed Elara Caring to conduct screenings at any time, with 40% of interviews completed during evenings or weekends. The results were substantial: time from application to offer was cut from 6.1 days to 2.7 days, monthly hires increased by 21%, and the team saved 400 recruiter hours per month. Phenom's technology enabled a 50% increase in candidates processed while allowing recruiters to focus on more strategic work.


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