Improving Prehire Assessments and the Interview Process (Artificial Intelligence for Talent Acquisition case study)
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Improving Prehire Assessments and the Interview Process (Artificial Intelligence for Talent Acquisition case study)

January 21, 2020 | Brief

One of the largest automotive retailers in the United States has witnessed the substantial impacts AI brings to talent acquisition in just four short years. Before, average time to fill at the company was over 100 days. Some requisitions were open for more than two years, including a requisition with 600 applications that had never been reviewed. The TA team realized that to turn the chaos around, they must change the hiring process fundamentally, and technology would allow them to accelerate and sustain the change.

Application of AI for TA

The key challenge the TA team identified was that most hiring managers didn’t have time to conduct both screening interviews and more detailed, in-person interviews. To ameliorate the situation, the team searched for digital interview platforms and eventually decided to partner with HireVue, an AI-powered platform that specializes in prehire assessments and video interviewing. In just a few minutes, HireVue can complete the following steps that used to take a recruiter much longer: screen résumé, analyze results of the prehire assessment, and automatically invite those who meet minimum qualifications for an on-demand video interview conducted by the machine (using assisted intelligence). As the platform conducts interviews with candidates directly, recruiters no longer sit in on those 30-minute conversations but can watch the recordings anytime that works best for them to assess candidacy.

To ensure a fair and structured

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