SourcingOS Learn · Reference

Recruiting and talent sourcing glossary

Definitions for the concepts behind modern evidence-first sourcing, recruiting AI, talent intelligence, candidate review, source measurement, and recruiter-controlled automation.

Last reviewed: 2026-09-06 · 33 terms · 12 deep reference guides

Agentic recruiting

Recruiting workflows in which an AI system maintains state, uses approved tools, takes bounded multi-step actions, and returns work for recruiter review rather than only answering one prompt.

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Candidate 360

A unified recruiter review view that connects identity, work history, role evidence, source records, contact signals, prior recruiting history, and uncertainty without erasing provenance.

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Candidate identity resolution

The process of deciding whether multiple source profiles or records belong to the same real person, using deterministic identifiers and reviewable evidence rather than name similarity alone.

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Candidate sourcing

The systematic process of translating a hiring need into search hypotheses, finding relevant people across multiple sources, reviewing evidence, and calibrating the search with recruiter and hiring-team feedback.

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Contact resolver

A layer that ranks and consolidates candidate contact signals by type, confidence, freshness, corroboration, and prior success or failure instead of dumping every provider result.

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Contactability

Whether a contact channel may appropriately be used for recruiting outreach under the source rights, opt-out state, organizational policy, and applicable workflow—not merely whether an email or phone number exists.

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Discovery expansion

A synonym, adjacent title, nearby geography, related technology, donor company, or other search concept used to improve recall without changing the literal hiring requirement.

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Donor company

An organization likely to produce relevant talent because its work environment, customers, technology, mission, regulation, or operating model resembles the hiring need.

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Duplicate pressure

The proportion of discoveries that resolve to candidates already found, reviewed, or known. Rising duplicate pressure can indicate source overlap, query collapse, or genuine market saturation.

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Evidence ledger

A structured record of candidate assertions that preserves source, observed time, assertion type, confidence, provenance, and related verification state.

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Evidence-backed ranking

Candidate ranking in which the system exposes the evidence supporting each important requirement, plus missing evidence, inference, uncertainty, and verification needs.

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Explicit requirement

A hiring criterion directly stated or confirmed in the role brief, such as a required skill, experience floor, location constraint, clearance, credential, or disqualifier.

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Field evidence

Observable public, licensed, customer-authorized, or recruiter-confirmed information that supports a candidate claim. Evidence strength depends on source, recency, context, and assertion type.

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Hard requirement

A criterion the hiring team has explicitly made non-negotiable. Search expansions and useful adjacent signals must not silently become hard requirements.

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Human approval boundary

A point where a consequential AI action—such as outreach, identity confirmation, irreversible data change, or verification-sensitive conclusion—requires explicit authorized human control.

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Inference

A claim derived from incomplete evidence rather than directly observed. Inferences can support discovery or ranking but should remain visibly distinct from verified facts.

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Market map

An actionable model of the talent market connecting donor companies, title families, geography, adjacent talent, evidence sources, coverage, and next-search opportunities.

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MCP (Model Context Protocol)

An open protocol that lets AI assistants connect to approved external tools and data sources through a standardized interface. Recruiting systems can expose search, analytics, and workflow capabilities through MCP.

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Normalization

The process of mapping equivalent language to a consistent concept—for example, “RHEL” and “Red Hat Enterprise Linux”—without changing the underlying requirement.

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People-data provider

A vendor or API that supplies person, professional-profile, identity, company, or contact data. Provider outputs should retain source rights, freshness, confidence, and usage boundaries.

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Provenance

The record of where a piece of data came from, how it was acquired, when it was observed, what kind of assertion it represents, and what the system is allowed to do with it.

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Recruiter calibration

The process of converting recruiter or hiring-manager feedback on real candidates into explicit changes to ranking, source priority, exclusions, evidence expectations, or search strategy.

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Role Brain

The SourcingOS role-intelligence layer that turns a natural-language hiring brief into structured requirements, normalization, search expansions, geography, verification needs, and other role state.

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Search exhaustion

A defensible state in which the major search hypotheses, source lanes, donor pools, geography, title families, and reasonable expansions have been tested and incremental unique yield has materially collapsed.

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Search hypothesis

A testable idea about where relevant candidates or evidence may exist, such as an adjacent title family, donor-company cluster, open-source community, registry, or specific source.

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Search lane

A distinct sourcing path with its own source, query logic, talent hypothesis, or evidence surface. Lanes should be measurable independently enough to compare contribution and overlap.

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Search plan

The recruiter-facing artifact that converts role requirements into title families, donor companies, geography, source lanes, query hypotheses, evidence needs, exclusions, and calibration strategy.

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Source diversity

Coverage across meaningfully different discovery and evidence sources rather than superficial use of many tools that all expose the same underlying candidate population.

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Source profile

A record representing a person as observed in one source. Source profiles should keep their own identifiers and provenance even when linked to a canonical candidate.

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Standing role agent

A persistent sourcing agent that keeps role state over time, skips already-reviewed identities, searches approved lanes, applies recruiter-approved learning, and reports net-new work plus an audit trail.

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Talent intelligence

Evidence used to improve hiring decisions about market supply, donor companies, title patterns, geography, skill adjacency, competition, source coverage, or requirement tradeoffs.

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Unique contribution rate

The share of useful discoveries from a source or lane that were not already found elsewhere. It helps distinguish incremental sourcing value from raw result volume.

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Verification

A separate process for confirming a claim through the authoritative or employer-approved source appropriate to that claim. Public evidence can support discovery without constituting verification.

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