HireVue is a digital interviewing platform that uses video technology and artificial intelligence to streamline the recruitment process. It allows candidates to record video interviews at their convenience, which employers can then review and assess. The platform also provides tools for evaluating candidate responses through AI-driven analytics, facilitating more efficient and consistent hiring decisions.
Top 5*
Applicant Tracking

About HireVue
HireVue was created in 2004 by Mark Newman. It was developed to address the inefficiencies of traditional interviewing processes by leveraging video technology. The platform aimed to provide a more flexible and scalable solution for both candidates and employers, allowing interviews to be conducted and reviewed asynchronously. Over time, it integrated artificial intelligence to enhance candidate assessment and streamline hiring decisions.
Strengths of HireVue include its ability to streamline the interview process through video technology and AI-driven analytics, offering convenience and efficiency for both candidates and recruiters. Weaknesses may involve concerns over AI bias and the need for candidates to have access to reliable technology. Competitors include platforms like VidCruiter, Spark Hire, and Modern Hire, which also offer digital interviewing solutions.
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How to hire a HireVue expert
A HireVue expert must have skills in video interview setup and management, proficiency in using AI-driven analytics tools, and experience with applicant tracking systems. Additionally, familiarity with data analysis for interpreting candidate assessment results and technical troubleshooting skills for resolving platform issues are essential.

Luiz A.
Skills
A proficient researcher and developer with significant expertise in biological molecular research and diagnostic imaging technologies, specializing in public health solutions. Developed and assembled hardware for diagnostic equipment, leading to the publication of three Python packages aimed at enhancing system functionality. Experienced in computer vision, having designed feature extractors and combiners that utilize machine learning methodologies for data analysis. Holds a Master's degree in Materials Engineering and Sciences and a Bachelor's degree in Physics from a leading institution, demonstrating a solid foundation in scientific principles and applications.
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