Screening Social Media When Hiring at Scale Case Study

Fama’s client - a multi-national professional services firm - faced a challenge with conducting in- depth candidate assessment when hiring at scale. Through one of their client engagements, they were tasked with building and staffing large content-screening centers based in two different countries for a highly confidential and sensitive client, requiring more than 800 candidates to be screened each month.

For a team responsible for filling hundreds of open positions every two weeks across two hiring sites, utilizing group or back-to-back interviews made it difficult, if not impossible, to thoroughly vet each candidate. Tight hiring and onboarding deadlines made efficiency and consistency critical for any solution that was to be effective.

With a goal of avoiding candidates with workplace misconduct issues Fama’s AI-driven screening technology was used to create a process to systematically identify and screen out problematic candidates.

With such a large screening volume, Fama was able to work with the client to architect a custom threshold escalation process, allowing only candidates with specifically identified levels of problematic behaviors to be escalated to the client’s small hiring team for manual review.

In addition, Fama worked with the client’s multi-national needs to create custom search criteria based on cultural and geographical sensitivities, as well as established an adjudication process for candidates who were denied.

Out of over 7,000 candidates screened by the client to date: