Talent Sourcing and Candidate Screening

AI helps recruiters source candidates, pre-screen applicants, and prepare shortlists and interviews for open roles.

Business impact

• Time to first interview — Danone reported time from vacancy opening to first interview was 80% less.
• Time-to-hire — Expedia Group reported total time-to-hire improved from 80 to 50 days.
• Recruiter efficiency — Expedia Group reported recruiter efficiency when InMailing candidates sourced by Hiring Assistant increased 79%.
• InMail acceptance rate — Expedia Group reported InMail acceptance rate increased from 40% to 56%.
• Candidates recruited — Danone reported candidates recruited were 5x more.
• Candidates hired after the first interview — Danone reported candidates hired after the first interview were 150% more.

Data requirements

• Job applications (text) — Used to assess applicants against listed qualifications.
• Job descriptions (text) — Used to compare role requirements and research comparable roles or talent pools.
• Candidate interview responses (text) — Used in the text-based interview deployment to build candidate profiles and shortlists.

AI methods and techniques

• Candidate scoring — Used to rank applicants against recruiter-defined or posting-defined criteria.
• Pre-screening — Used to filter applicants before a human recruiter advances them.
• Candidate matching — Used to surface people who fit a role or talent pool.
• Automated candidate communication — Used to handle early outreach in the recruitment workflow.
• Interview scheduling — Used to coordinate interviews after screening.

Industries

Real-world evidence

6 documented case studies on record.

Companies using this: Danone, Expedia, Mastercard, Oracle, Starbucks, UJET.