Time-to-fill per job familyDays from requisition open to offer accepted, per job family, location code and recruiter, across every Taleo zone.
Candidate Selection Workflow drop-offConversion from each CSW step to the next per requisition template, with the stage that loses candidates first.
Open requisition agingRequisitions sitting past their target start date, per hiring manager, organization code and BU.
Source-of-hire and source-code qualityApplications, offers and twelve-month retention per Taleo source code, not just applications counted in the ATS.
Offer-acceptance and decline patternsOffers extended versus offers accepted per job family, location and salary band, with declined-reason patterns.
Recruiter workload and pipeline depthActive requisitions, candidates in process and offers per recruiter, with overdue evaluations flagged.
High-volume hiring throughputDaily applications, screens, interviews and offers for retail, manufacturing and seasonal campaigns by location code.
Government and regulated-hiring auditFull submission history per requisition for federal, state and EEO reporting, kept against the live Taleo record.
Taleo-versus-ORC parallel pipelineSide-by-side pipeline volume, time-to-fill and offer rates between Taleo regions and migrated ORC regions during cutover.
Cost-per-hire across the BUTaleo offers reconciled against agency invoices, job-board spend and internal recruiter time per BU and country.
Migration-readiness reportingActive and historical requisitions, candidates and submissions per Taleo zone, scoped for the next ORC cutover wave.
Long-tail candidate pool agingCandidates in the Taleo database with no contact in twelve or twenty-four months, scored against current and likely-to-open reqs.