HRMS migration
Field-level mapping, validation, and rollback between Phenom and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Phenom
Source
Recruit CRM & ATS
Destination
Compatibility
9 of 11
objects map 1:1 between Phenom and Recruit CRM & ATS.
Complexity
BStandard
Timeline
6-10 weeks
Overview
Moving from Phenom to Recruit CRM is a data gravity shift from an enterprise Talent Experience platform down to a focused recruitment CRM. Phenom organizes candidate progression through Projects with embedded Statuses, applies FitScore AI matching tied to a proprietary skills ontology, and bundles hiring with onboarding and career development. Recruit CRM handles the recruiting layer with candidate profiles, job postings, applications, and pipeline management without the broader hire-to-retire scope. We export Candidates, Jobs, Applications, Employees, Tags, and Additional Fields with their complete attribute payloads, and we deliver FitScore underlying skills data as a structured reference for re-matching on the destination. Workflow Projects, Campaigns, Analytics reports, and automations do not migrate; we deliver written inventories for your admin to rebuild on Recruit CRM.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Phenom object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Phenom
Candidates
Recruit CRM & ATS
Candidates
1:1Phenom Candidates map directly to Recruit CRM Candidate records. We export the full Candidates API payload including standard properties (name, email, phone, location, source) and all Additional Fields (tenant-specific custom attributes) per candidate. The Additional Fields payload is mapped to Recruit CRM custom fields configured in the destination before import. Candidate tags from Phenom transfer to Recruit CRM tag assignments. FitScore values export as a custom numeric field with a companion text field holding the scoring rationale for admin review.
Phenom
Jobs
Recruit CRM & ATS
Jobs
1:1Phenom Jobs map to Recruit CRM Job postings. We export job title, description, location, department, employment type, requirements, and status (active, closed, on-hold) via the Job Sync API. Historical jobs with closed status migrate as archive records in Recruit CRM. Job requirements fields map to Recruit CRM job custom fields if the destination has structured requirement fields configured.
Phenom
Applications
Recruit CRM & ATS
Applications
1:1Phenom Applications link Candidates to Jobs and are accessible via the Applicants API. We export application status, stage progression, submission date, and the candidate-ID and job-ID associations. Applications are imported after both Candidates and Jobs exist in Recruit CRM to satisfy foreign key dependencies. Historical stage progression timestamps migrate as activity entries against the application record.
Phenom
Employees
Recruit CRM & ATS
Employees
1:1Phenom Employee Profile APIs export employee records including preferences, skills data, and tenure information. We map employees to Recruit CRM Employee records if the destination tenant has employee management enabled, or to Candidate records if the migration scope treats internal candidates separately. Skills data from Phenom employee profiles exports as structured fields for reuse in job matching on the destination.
Phenom
Tags
Recruit CRM & ATS
Tags
1:1Tag Management APIs export all tag vocabulary and candidate-tag assignments from Phenom. We create equivalent tags in Recruit CRM and reapply assignments to the migrated candidate records. Tag vocabulary is preserved as-is; if duplicate tag names exist across departments, we namespace them with a prefix to prevent collision during import.
Phenom
Additional Fields
Recruit CRM & ATS
Custom Fields
lossyPhenom Additional Fields are tenant-specific custom attributes on candidate profiles exported via GET/PUT on the Candidates API. We map each Additional Field to a Recruit CRM custom field of matching type (text, number, date, picklist, checkbox). Field-level dependencies or conditional-display logic in Phenom does not transfer; Recruit CRM custom field visibility is set to unrestricted during migration and can be scoped by the admin post-import.
Phenom
Projects (Workflows)
Recruit CRM & ATS
Pipeline Stages
lossyPhenom Projects with embedded Statuses define candidate progression paths and conditional routing. These are modeling constructs without a direct Recruit CRM equivalent. We export the complete workflow topology including stage names, ordering, stage-to-stage transitions, and any conditional routing rules as a structured JSON document. Recruit CRM pipeline stages are configured flat per job; the customer uses the exported topology as a reference to design equivalent stages. Custom routing logic requires rebuild in Recruit CRM workflows.
Phenom
Campaigns (Email/SMS)
Recruit CRM & ATS
Campaigns
1:1Campaign structure, template content, and send history metadata export from Phenom Campaigns API. Individual email and SMS message logs are accessible via Communications API. We map campaign names, target segments, and template subject lines to Recruit CRM Campaigns. Send history and engagement metrics export as reference data; Recruit CRM does not replicate Phenom's campaign automation, so the campaign inventory is delivered as a rebuild reference for the customer's admin.
Phenom
User Management
Recruit CRM & ATS
Users
1:1Phenom User and group management via SCIM exports users, group assignments, and role associations. We match Phenom users to Recruit CRM users by email. The customer's Recruit CRM admin provisions the destination users before migration so OwnerId references resolve at import time. Inactive Phenom users migrate with inactive status in Recruit CRM to preserve historical assignment.
Phenom
AI Matching / FitScore
Recruit CRM & ATS
Custom Numeric Field + Skills Fields
1:1FitScore numeric values export as a custom field on the candidate record in Recruit CRM. The underlying skills, experience, and qualifications that drive the score export as structured fields mapped to Recruit CRM custom fields. Recruit CRM does not generate AI matching scores natively; the exported skills data provides the basis for manual or third-party re-matching on the destination. We flag every candidate with a FitScore value in the migration manifest for customer review.
Phenom
Prediction
Recruit CRM & ATS
Skills Fields
1:1The Prediction API exports predicted skills generated at candidate intake from job titles and provided skill sets. These are stored as structured attributes against candidate profiles. We export predicted skill mappings and map them to Recruit CRM custom fields on the candidate record. Predicted skills are not automatically applied to new job matching on the destination; the customer's admin uses them as reference data during candidate review.
| Phenom | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Candidates | Candidates1:1 | Fully supported | |
| Jobs | Jobs1:1 | Fully supported | |
| Applications | Applications1:1 | Fully supported | |
| Employees | Employees1:1 | Fully supported | |
| Tags | Tags1:1 | Fully supported | |
| Additional Fields | Custom Fieldslossy | Mapping required | |
| Projects (Workflows) | Pipeline Stageslossy | Mapping required | |
| Campaigns (Email/SMS) | Campaigns1:1 | Mapping required | |
| User Management | Users1:1 | Fully supported | |
| AI Matching / FitScore | Custom Numeric Field + Skills Fields1:1 | Mapping required | |
| Prediction | Skills Fields1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Phenom gotchas
Per-user pricing creates billing risk during inbound migration
FitScore AI matching does not transfer 1:1
Workflow Projects and Statuses require structural rebuilding
Analytics and reporting data requires re-aggregation post-migration
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Discovery and scope definition
We audit the Phenom tenant across object types in scope (Candidates, Jobs, Applications, Employees, Tags, Additional Fields), engagement volume, FitScore coverage, workflow Project count, and campaign inventory. We review the Recruit CRM destination tenant for existing custom fields, pipeline configuration, and user provisioning status. The discovery output is a written migration scope, a record-count estimate per object, a FitScore inventory summary, and a workflow topology extraction plan. We confirm which objects are in scope and which are delivered as documentation-only (Projects, Campaigns, Analytics).
Destination schema configuration
We configure Recruit CRM custom fields to receive Phenom Additional Fields before any data import. Field types are mapped from Phenom (text, number, date, picklist, checkbox) to equivalent Recruit CRM custom field types. Tags are pre-created in Recruit CRM using the exported tag vocabulary. FitScore numeric values are assigned a custom numeric field; underlying skills data is assigned structured custom fields. Job pipeline stages are pre-configured to align with the exported workflow topology reference document. Schema configuration is validated in the destination before record import begins.
FitScore and skills data extraction
We run a targeted export of FitScore values, the underlying skills ontology driving each score, Prediction API skill mappings, and any skills data from Employee profiles. This data is extracted as a structured dataset and validated for completeness before mapping to Recruit CRM custom fields. Candidates with FitScore values are flagged in the migration manifest. The skills data provides the re-matching foundation on the destination; we note which skills fields have data density above 70% and which are sparse so the admin understands re-matching reliability.
Sandbox migration and reconciliation
We run a full migration into a Recruit CRM test environment using production-like data volume. The customer's recruitment operations lead reconciles record counts per object (Candidates in, Jobs in, Applications in, Employees in), spot-checks 25-50 random records against the Phenom source, and validates that Additional Fields populated correctly. FitScore values and skills data are verified against the export manifest. The admin signs off the schema and mapping before production migration begins. Corrections to field mappings or custom field configurations happen in the test phase.
Production migration in dependency order
We run production migration in record-dependency order: Jobs (master data), Candidates (with Tags and Additional Fields), Employees (if in scope), Applications (with candidate-ID and job-ID resolved), FitScore and skills data (as custom fields on candidates), User assignments (matched by email), and Activity history. Each phase emits a row-count reconciliation report before the next phase begins. Workflow Projects, Campaigns, and Analytics are delivered as reference documents alongside the production migration, not as live records in the destination system.
Cutover, validation, and rebuild handoff
We freeze Phenom writes during the cutover window, run a final delta migration of any records modified during the migration window, then enable Recruit CRM as the system of record. We deliver the Workflow Project topology document, the Campaign inventory, and the Analytics export as structured files to the customer's admin team. We support a one-week hypercare window where we resolve reconciliation issues. We do not rebuild Phenom Workflows or Campaign automations in Recruit CRM; those are separate configuration tasks for the customer's admin or a Recruit CRM implementation partner.
Platform deep dives
Phenom
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Phenom and Recruit CRM & ATS.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Phenom: Not publicly documented in the developer portal.
Data volume sensitivity
Phenom exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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