Case Study: Scaling interviewer training and improving rigor at Hudl
Key results
The challenge
Hudl wanted to run a fair, rigorous, and consistent interview process across a workforce of 1,700+ employees in 20 countries, but lacked the data to know which interviewers needed coaching or where technique was falling short.
The solution
Hudl used Metaview's Notetaker, AI Reports, AI Filters, and Reports dashboards, integrated with Zoom, Greenhouse, and Okta, to analyze interviews at scale and deliver personalized coaching to interviewers.
“Metaview is the best way to coach and develop interviewers on the team, and gives us the data we need in order to know if we're running a fair and rigorous process.”
KMKyle MurphyVP People & Corporate Comms, Hudl
The results, in context
According to the published story, Hudl analyzed 2,000+ interviews from 467 interviewers and coached them on specific patterns. The result was 75% fewer low-rigor interviews (fewer than six questions), a 2x increase in candidate monologue length, and a 14% decrease in time-to-hire across the org.