Published: 25 January 2024
Summary
Quality recruiting outcomes are at risk if poor interview processes introduce scheduling delays, unprepared interviewers, and worse, interviewer bias. Recruiting leaders should adopt AI-enabled interview technology to automate scheduling and improve engagement, preparedness and fair decision making.
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Overview
Key Findings
Recruiting teams employ many advanced strategies to attract and engage the right talent only to risk unsuccessful outcomes at the interview stage due to poor experiences and unmet candidate expectations.
Interview scheduling delays create friction in the selection process and, in some cases, lead to the loss of qualified candidates.
When recruiting remote employees, organizations keep interviews virtual to manage high volumes and minimize travel costs.
Business partners who interview job applicants in addition to conducting their daily workload are often unprepared, return insufficient feedback and deliver an inconsistent experience between candidates.
Recommendations
Recruiting leaders focused on improving their interview processes must:
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