Royal College of Art connects global scholarship candidates via asynchronous video interviewing
RCA needed to connect geographically dispersed scholarship candidates to a global panel of arts experts across multiple time zones, with live video scheduling being unviable. Paper applications made it hard for candidates to show passion and difficult to engage the judging panel.
RCA had relied solely on paper applications the previous year, which made it difficult for candidates to demonstrate passion and led to low engagement from the judging panel.
RCA achieved a 100% response rate from long-listed candidates, and the judging panel responded very positively, praising the system as professional, easy to use, and flexible.
Frequently asked questions
What did this team achieve with this AI workflow?
RCA achieved a 100% response rate from long-listed candidates, and the judging panel responded very positively, praising the system as professional, easy to use, and flexible.
What tools did this team use?
HireVue, Sonru.
What results were reported?
Candidate response rate: 100%; Judging panel reception: favorably received (source-reported, not independently verified).
What failed first in this deployment?
RCA had relied solely on paper applications the previous year, which made it difficult for candidates to demonstrate passion and led to low engagement from the judging panel.
How is this recruiting AI workflow structured?
Candidates shortlisted globally → Asynchronous video responses recorded → Panel reviews candidate videos.