Recruitment AI, in plain words.
The vocabulary of AI-first hiring, one honest definition at a time. No jargon defined with more jargon.
AI sourcing
AI sourcing is using AI systems to find, rank and explain candidate matches for a role, instead of manually searching job boards and networks. Done…
Read the full answer →Boolean search
Boolean search finds profiles by combining keywords with operators like AND, OR and NOT. It's precise but brittle: it only finds people who used yo…
Read the full answer →Candidate enrichment
Candidate enrichment is filling in and verifying a profile's missing pieces: current role, contact details, skills and availability signals, usuall…
Read the full answer →Explainable matching
Explainable matching means every candidate score comes with readable reasons: which skills matched, what the trajectory shows, how salary expectati…
Read the full answer →GDPR-compliant sourcing
GDPR-compliant sourcing means having a legal basis (usually legitimate interest) for processing candidate data, informing candidates when you conta…
Read the full answer →Outreach sequence
An outreach sequence is a planned series of messages to a candidate: an introduction, one or two follow-ups, and a respectful close, spaced over da…
Read the full answer →Semantic search
Semantic search matches candidates by meaning instead of keywords: "backend lead who can grow a team" finds people whose experience fits that descr…
Read the full answer →Silver medalist
A silver medalist is a candidate who reached the final stage of a past hiring process and lost narrowly: interviewed, liked, not chosen. They're th…
Read the full answer →Talent pool
A talent pool is the set of candidates a team has already found, contacted or interviewed, kept for future roles. Most go stale because nothing upd…
Read the full answer →Time-to-fill
Time-to-fill measures the days from opening a role to an accepted offer. For white-collar roles in Europe it commonly runs six to ten weeks with in…
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