Recruiter training for evidence-first sourcing.
Practical modules for senior sourcers who want to use AI, open-web search, and Candidate 360 without losing trust, provenance, or human judgment.
Start here
These modules are built around the SourcingOS operating model: role intake, source lanes, public evidence, recruiter-confirmed merges, and human-approved outreach. Use them as internal training, a snack-and-learn outline, or a self-paced sourcer playbook.
Build source packs with AI without inventing candidates
A recruiter-safe prompt workflow for turning messy JDs into search lanes, Boolean strings, X-Ray searches, false-positive filters, and HM questions.
Evidence reviewSeparate facts, signals, assumptions, and missing data
The review checklist behind Candidate Search and Candidate 360. Know what is public evidence, what is only a breadcrumb, and what still needs verification.
CalibrationRun a better hiring manager intake
Questions and meeting structure for turning vague must-haves into market-aware tradeoffs before you burn hours sourcing the wrong lane.
GovCon safetyUse clearance breadcrumbs without overclaiming
A practical guardrail for cleared and federal searches. Search public language, but never treat public clearance text as verified clearance.
Candidate 360Turn evidence into an HM-ready dossier
A step-by-step framework for building Candidate 360 profiles that show fit, gaps, risks, source provenance, and verify-next actions.
The rule underneath every module
SourcingOS can help structure a search, surface public evidence, and draft next steps. It does not verify identity, clearance, employment, contact accuracy, or final fit. Those decisions stay with the recruiter and the hiring process.