AI-Powered Applicant Filtering & Screening

Requirements
  • Headquartered In: North America
  • Company Size: 750-10,000 Employees
  • Industries: All
  • Titles: Recruiting, Talent Acquisition, Human Resources
  • Job Level: Manager+
Overview

Talent and recruiting teams today are overwhelmed. Not only are there fewer resources available to do the same work as before, they are also flooded with hundreds or even thousands of applicants for every job opening. So how does a recruiter find the best talent to bring into the company when faced with these two challenges?

We consistently see one of two solutions:

  • Go through every application as it comes in and manually create a shortlist of those who seem most qualified. This takes hours and hours and might overlook qualified applicants that aren’t the first to apply.
  • Using the ATS to try and filter down to those that meet specific keywords trying to get lucky to match keywords to resumes. This results in missing out on top candidates who might meet all other criteria.

Neither of these solutions is reliable for finding high-quality talent. Qualified applicants are likely to be overlooked, and advancing the wrong applicants can cause hours of recruiting and interviewing time to be wasted when we find out late in the process that critical skills are missing.

That is, until unbiased AI is brought in to solve the problem by creating a consistent, efficient process that helps you find the most qualified applicants every time, for every job, in minutes.

Top reasons our community cites for adopting or considering this solution:

  • Difficulty finding quality candidates out of hundreds of applications
  • Takes too much recruiter time to manually review applications for each job opening
  • Applicant review takes too long, negatively impacting employer brand and causing top talent to move on to other opportunities
  • Hiring managers keep rejecting recruiter-screened applicants
  • Overlooking applicants you paid to acquire because they get lost in the applicant pool
  • Subconscious bias among recruiters and hiring managers in resume screening makes it challenging to hit DEIB goals (e.g., prestige bias towards select employers and schools, etc.)
  • Have to hire additional recruiting resources to support applicant screening needs

You must be directly involved in your company’s evaluation process for solutions like this, or in the management chain for people who do. You must be a hands-on user of the prospective solution or in the management chain of users. Please do not register for programs that are an unlikely fit. Your credibility and ours depend on it.

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