Recruiting · Production
HireVue Customer Stories: AI and Automation Across High-Volume Recruiting (Page 8 Listing)
The problem
Multiple organizations faced slow, manual, time-consuming hiring processes that limited recruiter capacity and made it difficult to engage candidates at scale.
Workflow diagram · grounded in source
1
Chat and text candidate outreach
trigger
“Reengaging a cold talent pool with chat and text unlocks thousands of job seekers”
2
AI pre-hire assessment
ai_action
“Telstra also uses AI to take its pre-hire assessment strategy to the next level”
3
OnDemand video interviewing
output
“Telstra uses OnDemand video interviewing to give candidates a great experience with its brand”
Reported outcome
Customers achieved faster time-to-interview and time-to-hire, lower cost per interview and per hire, higher candidate response rates, and significantly more candidates engaged and hired.
Reported metrics
Time to interview5x faster
Time to hire4x faster
Cost per interview50%
Retention10%
Show all 13 reported metrics
time to interview5x faster
time to hire4x faster
cost per interview50%
retention10%
cost per hires20%
average response rate within 1 hour74%
average response rate within 24 hours96%
profiles contacted1.6M
conversations completed96%
conversations resulting in uncovering new job seekers63%
candidates engaged21k+
interviews scheduled17k+
applicants hired5,100+
Reported stack
HireVueOnDemand
Frequently asked questions
What did this team achieve with this AI workflow?
Customers achieved faster time-to-interview and time-to-hire, lower cost per interview and per hire, higher candidate response rates, and significantly more candidates engaged and hired.
What tools did this team use?
HireVue, OnDemand.
What results were reported?
Time to interview: 5x faster; Time to hire: 4x faster; Cost per interview: 50%; Retention: 10% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Chat and text candidate outreach → AI pre-hire assessment → OnDemand video interviewing.