HRMS migration
Field-level mapping, validation, and rollback between Unatrix and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Unatrix
Source
Recruit CRM & ATS
Destination
Compatibility
7 of 11
objects map 1:1 between Unatrix and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Unatrix to Recruit CRM is a migration from a purpose-built engineering-staffing niche platform to one of the highest-rated recruitment CRMs in the SMB segment. Unatrix combines ATS and CRM objects in a single unified schema around Candidates, Clients, Jobs, and Projects, with skills auto-extracted from CVs using a tenant-specific qualification taxonomy. Recruit CRM uses the standard recruitment CRM object model (Candidates, Clients, Jobs, Deals) with AI-powered parsing and a Kanban-driven pipeline. We resolve the structural difference between Unatrix's Project object and Recruit CRM's Deal object, normalize the qualification taxonomy during the transform phase, and sequence the import starting with Clients, then Jobs, then Candidates, then the linking records. Workflows, KPI dashboards, and report configurations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Recruit CRM's workflow builder.
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 Unatrix 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.
Unatrix
Client
Recruit CRM & ATS
Client
1:1Unatrix Clients (the CRM counterpart to Candidates, representing companies or organizations) map 1:1 to Recruit CRM Client records. The client name, industry, contact details, address, and status fields migrate directly. Client-to-Job relationships are preserved through the linking structure that Recruit CRM maintains natively between Clients and Job records.
Unatrix
Job
Recruit CRM & ATS
Job
1:1Unatrix Job records (open positions or requisitions linked to a Client) map 1:1 to Recruit CRM Job records. Job status, description, required qualifications, salary range, and location fields migrate with standard field mapping. The Job-to-Client link is resolved by matching the Client external ID so the Recruit CRM relationship is satisfied at insert time.
Unatrix
Candidate
Recruit CRM & ATS
Candidate
1:1Unatrix Candidate records (the core ATS object with profile information, qualifications, and application history) map 1:1 to Recruit CRM Candidate records. Standard profile fields (name, email, phone, location, experience, education) migrate directly. Active versus inactive status is preserved to maintain staffing pipeline continuity. Custom properties on the Candidate object are identified during discovery and mapped to Recruit CRM custom candidate fields.
Unatrix
Qualification
Recruit CRM & ATS
Skill
lossySkills and qualifications auto-extracted from CVs in Unatrix using a tenant-specific taxonomy are normalized to Recruit CRM's skill objects during the transform phase. Each unique qualification name, category, and hierarchy from the tenant's taxonomy is mapped to a corresponding Recruit CRM skill tag. We build the full normalization map during discovery and validate it against a representative sample before full migration. The original Unatrix taxonomy value is preserved in a migration audit field alongside the normalized skill tag.
Unatrix
Project
Recruit CRM & ATS
Deal (with custom fields)
1:manyUnatrix Projects represent staffing engagements tying Candidates to Jobs under a Client, with placement performance metrics. Recruit CRM has no native Project object. We map each Unatrix Project to a Recruit CRM Deal record with the engagement metadata (project name, start date, end date, placement status, performance notes) stored as structured custom fields. The Project's linked Candidates and Jobs are stored as Deal-to-Candidate associations within Recruit CRM, preserving the full engagement context. This is the highest-complexity mapping in the migration and requires careful scoping during the discovery phase.
Unatrix
Interview / Event
Recruit CRM & ATS
Activity / Event
1:1Unatrix interview schedules and team events with date ranges and assigned team members are extracted and mapped to Recruit CRM Activity or Event records linked to the corresponding Candidate and Job. Interview status, interviewer assignments, and outcome notes are preserved as structured fields. Where Recruit CRM's native event model does not fully capture Unatrix interview metadata, we extend the activity record with custom fields identified during schema mapping.
Unatrix
Document / Attachment
Recruit CRM & ATS
Document (linked to Candidate)
1:1CVs and attachments stored against Unatrix Candidate records are extracted with their file names, content, and candidate associations. We preserve the file associations in Recruit CRM by linking uploaded documents to the migrated Candidate record. Binary files require separate file transfer; document content is associated via the Candidate's document library in Recruit CRM. Where the Unatrix REST API exposes document content directly, we include it in the migration package; if content requires a separate download step, we coordinate with the Unatrix support team to retrieve it.
Unatrix
User / Team Member
Recruit CRM & ATS
User
1:1Unatrix user accounts (sales managers, recruiters, and administrators with role-based permissions) are mapped to Recruit CRM users by email match. Active versus inactive status is preserved. Role and permission data from Unatrix is reviewed during discovery and translated into Recruit CRM's role model. Users without matching Recruit CRM accounts are held in a reconciliation queue for the customer's admin to provision before record import completes.
Unatrix
Tag / Custom Field (Candidate)
Recruit CRM & ATS
Custom Field (Candidate)
lossyUnatrix supports custom fields on Candidate objects beyond the standard profile fields. We identify all custom field schemas during the discovery phase, map each to a corresponding Recruit CRM candidate custom field, and pre-create the destination schema before any data import. Multi-value tag fields from Unatrix migrate to multi-select picklist fields in Recruit CRM. The custom field definitions and their current values across all Candidate records are included in the migration scope.
Unatrix
Tag / Custom Field (Job)
Recruit CRM & ATS
Custom Field (Job)
lossyUnatrix supports custom fields on Job objects for capturing job-specific attributes beyond standard fields. We identify the full Job custom field schema during discovery and map each to a corresponding Recruit CRM Job custom field. Pre-creation of the destination custom field schema happens before Job record import. Any picklist values used in Unatrix custom fields are translated to matching Recruit CRM picklist values or free-text fields as appropriate.
Unatrix
KPI / Report Data
Recruit CRM & ATS
N/A
1:1Unatrix KPI dashboards and report configurations are generated from underlying data and do not export as self-contained objects. We do not migrate KPI dashboards or report configurations. We do extract the raw data records (Candidate application counts, placement history, time-to-hire metrics) so that Recruit CRM's reporting tools can be configured by the customer's team post-migration to recreate the relevant metrics.
| Unatrix | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Client | Client1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Candidate | Candidate1:1 | Fully supported | |
| Qualification | Skilllossy | Fully supported | |
| Project | Deal (with custom fields)1:many | Fully supported | |
| Interview / Event | Activity / Event1:1 | Fully supported | |
| Document / Attachment | Document (linked to Candidate)1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Tag / Custom Field (Candidate) | Custom Field (Candidate)lossy | Fully supported | |
| Tag / Custom Field (Job) | Custom Field (Job)lossy | Fully supported | |
| KPI / Report Data | N/A1:1 | Fully supported |
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.
Unatrix gotchas
No documented bulk export API endpoint
Qualification taxonomy is tenant-specific
Project object is not a standard CRM concept
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 Unatrix export coordination
We audit the full Unatrix database scope: Candidate count, Client count, Job count, Project count, custom field definitions on Candidate and Job objects, the qualification taxonomy, engagement event volume, and active user count. We identify the Unatrix export path (requires a support ticket since no self-service bulk export exists) and coordinate the export format and delivery with the Unatrix team. The discovery output is a written migration scope including record counts per object, a preliminary field mapping draft, and a confirmed Unatrix export delivery date.
Staging environment setup and schema mapping
We set up a staging environment in Recruit CRM mirroring the production configuration and load the Unatrix export into a queryable staging workspace. We walk the customer through the field mapping using the preliminary draft, adjusting for Recruit CRM field types (picklist vs. text, required vs. optional, single-select vs. multi-select). We design the Project-to-Deal custom field structure and validate it with the customer's admin. The qualification taxonomy normalization map is built and reviewed against a 50-record sample before committing to the full set.
Data transformation and QA validation
We transform Unatrix data to Recruit CRM format: standardizing date formats, normalizing qualification taxonomy tags, splitting Unatrix Projects into Deal records with custom engagement fields, resolving all foreign key references (Client IDs on Jobs, Candidate IDs on Qualifications, Project IDs on engagement records), deduplicating where the Unatrix taxonomy contains redundant entries, and applying the active/inactive user status to the User mapping. We run automated QA checks on the transformed dataset to validate referential integrity, required field completeness, and mapping coverage before loading into Recruit CRM staging.
Staging migration and customer sign-off
We run the full migration into Recruit CRM staging. The customer reconciles record counts per object, spot-checks 30-50 candidate profiles for field accuracy, verifies the Project-to-Deal custom field structure, and confirms the qualification taxonomy normalization is producing sensible skill tags on a sample of Candidate records. Any mapping corrections are applied and the staging migration is re-run until the customer approves. Customer sign-off on staging is required before production migration begins.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated against Recruit CRM user provisioning), Clients (first because Jobs and Candidates reference them), Jobs (with Client external ID resolved), Candidates (with custom fields and qualification tags applied), Deals (from Unatrix Projects with engagement custom fields and linked Candidate associations), Activities and Events, and finally any remaining document attachments. Each phase emits a row-count reconciliation report before the next phase begins. We freeze Unatrix writes during the final cutover window to capture any records modified during the migration.
Cutover, validation, and workflow inventory handoff
We perform a final delta migration of records modified during the cutover window, validate the complete Recruit CRM dataset against the Unatrix source record counts, and enable Recruit CRM as the system of record. We deliver the written workflow and automation inventory documenting every Unatrix workflow and KPI dashboard requiring rebuild in Recruit CRM's Kanban workflow builder. We provide a one-week post-migration hypercare window to resolve any data discrepancies raised by the staffing team. We do not rebuild Unatrix workflows as Recruit CRM workflows inside the migration scope.
Platform deep dives
Unatrix
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 Unatrix 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
Unatrix: Not publicly documented.
Data volume sensitivity
Unatrix doesn't expose a bulk API — REST + parallelization used for high-volume runs.
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.
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FAQ
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