ATS and Recruiting Ops — Study Path Agent

Chapter 1

Recruiting Operations fundamentals

1

Map your recruiting funnel and define stage-to-stage conversion metrics

2

Define Recruiting Ops org model and role responsibilities (recruiter, coordinator, sourcer, ops)

3

Design candidate experience standards (SLAs, comms, surveys, feedback loops)

4

Run vendor management for recruiting (procurement, renewals, QBRs, performance)

5

Create recruiting SOPs and playbooks (process docs, templates, escalation paths)

Chapter 2

ATS fundamentals, requirements, and vendor selection

6

Understand ATS core objects and concepts (requisitions, candidates, stages, statuses, activities)

7

Differentiate ATS vs CRM vs HRIS and define system-of-record boundaries

8

Write ATS requirements and a feature checklist (posting, parsing, scheduling, offers, permissions)

9

Execute a vendor evaluation (demo scripts, scorecards, reference checks, pilots)

10

Model ATS total cost of ownership (licenses, implementation, integrations, admin time)

11

Assess implementation readiness (stakeholders, resourcing, data quality, timeline, risks)

Chapter 3

Compliance, privacy, and security for recruiting systems

12

Apply privacy requirements (GDPR/CCPA principles, consent, notices, DSAR workflows)

13

Set recruiting data governance (access rules, data ownership, retention rules, audit processes)

14

Implement EEO/OFCCP-aligned data capture and reporting readiness (where applicable)

15

Define record retention, deletion, and legal-hold procedures for candidate data

16

Configure security controls (SSO, MFA, RBAC, audit logs, least privilege)

17

Meet accessibility and inclusive-hiring requirements (ADA/WCAG considerations, accommodations workflow)

18

Perform vendor risk review (SOC reports, DPAs, subprocessors, incident response, pen tests)

Chapter 4

ATS implementation, change management, and continuous improvement

19

Plan the program (scope, milestones, RACI, comms plan, risk register)

20

Decide configuration vs customization (governance, long-term maintainability, release strategy)

21

Execute data migration (mapping, cleansing, test loads, cutover, reconciliation)

22

Deliver training and enablement (role-based training, admin guides, knowledge base)

23

Drive adoption and measure change (usage KPIs, feedback loops, office hours, champions)

24

Set up post-launch support (intake forms, ticketing, SLAs, triage, escalation)

25

Run continuous improvement (release notes review, quarterly audits, roadmap alignment, QBRs)

Chapter 5

Recruiting process design and ATS workflow configuration

26

Design requisition intake and approvals (headcount, budget, leveling, offer ranges)

27

Configure structured hiring (interview plans, scorecards, rubrics, calibration)

28

Build scheduling and coordination workflows (availability capture, panels, reminders, no-show handling)

29

Configure offer management (approvals, comp inputs, letter templates, e-signature routing)

30

Set SLAs, queues, and capacity planning for recruiting throughput

31

Add controls for auditability and error-proofing (required fields, validations, activity logging)

32

Design the handoff to HRIS/onboarding (data mapping, ownership, timing, exceptions)

Chapter 6

Integrations, automation, and the recruiting tech stack

33

Integrate ATS with HRIS and identity (SSO, SCIM, RBAC alignment, user lifecycle)

34

Integrate email/calendar and scheduling tools (templates, tracking, deliverability, logging)

35

Integrate job boards and programmatic job advertising (tracking links, sources, attribution)

36

Integrate assessments, background checks, and e-signature (order flows, statuses, reconciliation)

37

Use APIs/webhooks and iPaaS (Workato/Zapier/MuleSoft) to automate recruiting workflows

38

Operational automation inside the ATS (templates, triggers, auto-routing, nudges, notifications)

↗ Design the handoff to HRIS/onboarding (data mapping, ownership, timing, exceptions) (see Chapter 5)

Chapter 7

Recruiting data, reporting, and analytics

↗ Map your recruiting funnel and define stage-to-stage conversion metrics (see Chapter 1)

39

Audit the ATS data model and improve data quality (naming, required fields, deduping)

40

Standardize metric definitions (time-to-fill, time-in-stage, source, pass-through, drop-off)

↗ Set recruiting data governance (access rules, data ownership, retention rules, audit processes) (see Chapter 3)

41

Build dashboards and reporting (BI tools, scheduling, drill-downs, stakeholder views)

42

Run funnel optimization (hypotheses, experiments, QA checks, measuring impact)

43

Create reporting cadences and narratives (weekly ops, monthly exec, quarterly planning)