HRMS migration

Migrate from Unatrix to Recruit CRM & ATS

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 logo

Unatrix

Source

Recruit CRM & ATS

Destination

Recruit CRM & ATS logo

Compatibility

64%

7 of 11

objects map 1:1 between Unatrix and Recruit CRM & ATS.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Unatrix logo

Unatrix

What's pushing teams away

  • Low review volume across platforms (4.0 on G2, 3.6 on SoftwareAdvice and GetApp) makes it difficult to gauge long-term customer satisfaction and support quality.
  • Limited public documentation on API rate limits and bulk export capabilities raises concerns for teams needing programmatic data access or migration preparation.
  • Appears to serve a narrow niche (engineering/consulting staffing) which may not scale well for staffing agencies with diverse industry verticals.

Choosing

Recruit CRM & ATS logo

Recruit CRM & ATS

What's pulling them in

  • Agencies choose Recruit CRM for its full customizability — pipelines, stages, and fields can be tailored to any recruitment workflow without developer involvement.
  • Small teams value the built-in CRM and ATS combined in one subscription, eliminating the need to purchase and sync separate systems.
  • The Chrome extension for one-click LinkedIn profile collection streamlines candidate sourcing and reduces manual data entry for recruiters.
  • Responsive customer support with fast issue resolution is consistently cited as a reason teams stick with the platform long-term.
  • Automation options including email sequences and workflow triggers allow recruitment agencies to reduce repetitive manual outreach tasks.

Object mapping

How Unatrix objects map to Recruit CRM & ATS

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

maps to

Recruit CRM & ATS

Client

1:1
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

Job

1:1
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

Candidate

1:1
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

Skill

lossy
Fully supported

Skills 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

maps to

Recruit CRM & ATS

Deal (with custom fields)

1:many
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

Activity / Event

1:1
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

Document (linked to Candidate)

1:1
Fully supported

CVs 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

maps to

Recruit CRM & ATS

User

1:1
Fully supported

Unatrix 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)

maps to

Recruit CRM & ATS

Custom Field (Candidate)

lossy
Fully supported

Unatrix 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)

maps to

Recruit CRM & ATS

Custom Field (Job)

lossy
Fully supported

Unatrix 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

maps to

Recruit CRM & ATS

N/A

1:1
Fully supported

Unatrix 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.

Gotchas + challenges

What specifically takes care here

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 logo

Unatrix gotchas

High

No documented bulk export API endpoint

Medium

Qualification taxonomy is tenant-specific

Medium

Project object is not a standard CRM concept

Recruit CRM & ATS logo

Recruit CRM & ATS gotchas

High

API rate limits are license-scaled and can throttle bulk migration

Medium

Custom field schemas vary per organization and require field-level mapping

Medium

Files and email attachments require separate extraction and re-upload

Low

Email sequences and automation logic do not transfer between platforms

Pair-specific challenges

  • Unatrix has no documented bulk export API endpoint

    Unatrix provides a REST API for integrations, but research identifies no bulk or batch export endpoint. Teams planning migration must request a full data export through Unatrix support rather than pulling data programmatically. This means the migration timeline includes a coordination window with Unatrix to negotiate the export format (CSV, JSON, or structured file), the data scope (full database or selective tables), and the delivery method (direct download, secure transfer, or vendor-assisted export). We flag this during scoping and include the Unatrix export coordination window in the project plan before beginning any migration transformation work.

  • Project-to-Deal mapping requires custom field strategy

    Unatrix Projects represent staffing engagements tying Candidates to Jobs under a Client with placement metrics, but Recruit CRM has no native Project object. We map Unatrix Projects to Recruit CRM Deal records with engagement metadata stored as custom fields. This is not a 1:1 field map but a schema redesign: the customer's admin reviews the custom field structure during staging validation and confirms the mapping before production migration. Incomplete scoping of the Project structure results in engagement metadata being stored inconsistently or dropped during import.

  • Qualification taxonomy normalization requires discovery scope

    Unatrix skills and qualifications are extracted from CVs and tagged using a taxonomy that each tenant customizes. Qualification names, categories, and hierarchy vary between organizations. We discover the full taxonomy during the scoping phase and build a normalization map so that each Unatrix qualification tag is matched to a corresponding Recruit CRM skill. The map must be validated against a representative sample before full migration because an inaccurate taxonomy map causes candidate skill profiles to appear empty or mislabeled in Recruit CRM, directly affecting search and match functionality.

  • Incomplete records with required-field gaps may block import

    During migration, it is common to discover records in Unatrix that are missing fields the destination system requires. For example, a Candidate record without an email address or a Job record without a status value. Recruit CRM enforces required field validation during import. We identify gaps during the discovery audit and either populate default values (with customer approval) or exclude incomplete records with a documented exception log. Records excluded from migration are listed in the handoff document for manual entry post-migration.

Migration approach

Six steps for a successful Unatrix to Recruit CRM & ATS data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Unatrix logo

Unatrix

Source

Strengths

  • Combines ATS and CRM in one platform purpose-built for staffing workflows rather than generic HR.
  • Auto-extraction of skills and qualifications from uploaded CVs reduces manual tagging effort.
  • Integrated search and match functionality surfaces qualified Candidates based on Job requirements.
  • Built-in KPI reporting provides placement metrics, cost-per-hire, and time-per-hire visibility.
  • Multilingual support (DE, EN, FR, IT, ES) suits European staffing agency operations.

Weaknesses

  • Very low review volume across major platforms limits visibility into real-world user experience.
  • No public documentation of API rate limits or bulk export endpoints complicates migration planning.
  • Narrow vertical focus on engineering/consulting staffing may not suit agencies with broader industry coverage.
  • Smaller vendor footprint (7 LinkedIn employees) raises questions about long-term product support and development capacity.
Recruit CRM & ATS logo

Recruit CRM & ATS

Destination

Strengths

  • Fully customizable pipelines, stages, and fields without requiring developer involvement
  • Combines recruitment CRM and ATS in one subscription for staffing agencies and small teams
  • Built-in email sequences and automation reduce manual outreach work
  • Chrome extension enables one-click LinkedIn profile collection directly into the CRM
  • Responsive customer support cited across multiple reviews with fast resolution times

Weaknesses

  • Several features are gated as paid add-ons rather than included in the base subscription
  • Email functionality has been reported as unreliable by multiple users
  • Interface occasionally lags during high-activity periods in large pipelines
  • Pricing is considered higher than comparable recruitment CRMs by some customers
  • Limited native reporting — users request pre-made report exports rather than manual data pulls

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Unatrix and Recruit CRM & ATS.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Unatrix: Not publicly documented.

  • Data volume sensitivity

    B

    Unatrix doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Unatrix to Recruit CRM & ATS migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Unatrix to Recruit CRM & ATS data migrations

Answers to the questions buyers ask most during Unatrix to Recruit CRM & ATS migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 10,000 Candidates, 2,000 Clients, and 500 Jobs with a simple qualification taxonomy. Migrations with complex Project-to-Deal re-engagement structures, large qualification taxonomies (200+ unique skill tags), or significant engagement event history move to eight to fourteen weeks because of the discovery window required to normalize the Unatrix qualification taxonomy and the manual export coordination with Unatrix support. The Unatrix export coordination step alone can add one to three weeks depending on vendor response time.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Unatrix.
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