Hey Kelly,
Wiz is on track to receive an average of 858k inbound job applications this year.
Typically, 30% of these candidates are diverse, and 2 - 3% of these are top talent.
However, 85% of these applicants typically remain unread after the first week.
This means up to 729k candidates might be walking away with a less than ideal candidate experience, out of which 16k are top diverse candidates.
Find out how DoorDash used Covey Scout AI to streamline their applicant review process so that the most qualified candidates consistently enter the pipeline within 2 days AND all candidates get reviewed and hear back within SLA.
What if you could focus on the top 5% of candidates, leading to these outcomes:
100% of your highest quality inbound applicants will be identified.
92% of candidates not meeting the bar can be immediately rejected.
Better candidate experience
With Covey Scout's Enterprise-grade generative AI, you can train custom bots that evaluate millions of candidate profiles with the same nuance as a human. Save time and focus on high-quality interactions with qualified candidates.
Step 1
Step 2
Employing Enterprise-grade generative AI, Covey Scout trains your custom AI bot on large datasets for the assessments of incoming candidate profiles with human-level nuance.
Step 3
Gain full visibility into the process of determining candidate matches—no AI blackbox mysteries. Take charge by providing feedback to enhance your bot's intelligence and fine-tune its performance.
Step 4
The best candidates will be flagged for recruiters to act on Covey or within your Applicant-Tracking System (ATS). Schedule screening calls with your best-fit candidates in days instead of weeks.