Aria Introduction
Aria is an AI-powered 24/7 hiring assistant that conducts video interviews, saving recruiters 80% of time while reducing bias.
View MoreWhat is Aria
Aria is an innovative AI-powered recruitment tool designed to revolutionize the hiring process. It serves as a virtual interviewer, conducting thorough video interviews with candidates 24/7. Aria is configured to assess candidates for specific roles, asking relevant questions and evaluating responses to provide comprehensive insights to recruiters. This tool aims to streamline the hiring process, reduce bias, and allow companies to interview more candidates efficiently.
How does Aria work?
Aria operates in three simple steps. First, recruiters configure the AI-powered interview by setting up role-specific questions and assessment criteria. Next, they share a link inviting candidates to participate in a video interview with Aria. The AI assistant then conducts the interview, asking predetermined questions and analyzing responses. Finally, Aria provides detailed reports and insights on each candidate, allowing recruiters to efficiently filter and evaluate applicants. Aria can handle various assessment methods and is capable of conducting interviews for diverse roles, from technical positions like Full Stack Developers to customer-facing roles like Sales Representatives and Customer Support Specialists.
Benefits of Aria
By implementing Aria, companies can dramatically improve their hiring process. It saves recruiters up to 80% of their time typically spent on screening candidates. This efficiency allows organizations to interview up to 10 times more candidates, broadening their talent pool. Aria's AI-driven approach helps reduce unconscious bias in the initial screening process, promoting more diverse and fair hiring practices. Additionally, the comprehensive insights provided by Aria lead to better hiring decisions, evidenced by a 30% decrease in new hires leaving after their probation period. Overall, Aria offers a more efficient, thorough, and unbiased approach to candidate assessment.
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