HRMS migration
Field-level mapping, validation, and rollback between JobDiva and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
JobDiva
Source
Recruit CRM & ATS
Destination
Compatibility
8 of 11
objects map 1:1 between JobDiva and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from JobDiva to Recruit CRM is a migration from an enterprise-tier ATS-CRM hybrid with long-term contracts and significant implementation costs to a mid-market platform offering transparent per-seat pricing, a free trial, and faster time-to-value. JobDiva stores candidates with parsed resume data, submittal histories tied to specific job orders, and custom user-defined fields; Recruit CRM uses a unified Candidate object with AI resume parsing and a visual Kanban pipeline. We sequence the extraction to preserve relationships between candidate records and their associated submittals, resolve organization-specific submittal status values during scoping, and re-create hotlist membership using Recruit CRM tags or pipeline stages. Workflows, sequences, and automations do not migrate; we deliver a written inventory of these for your admin to rebuild post-migration.
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 JobDiva 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.
JobDiva
Candidate
Recruit CRM & ATS
Candidate
1:1JobDiva Candidates map directly to Recruit CRM Candidates. We extract parsed resume fields (skills, experience, education) from JobDiva's structured metadata alongside the binary resume attachment, and write both to Recruit CRM's AI-parsed candidate profile. The original file attaches to the Candidate record. Any parsed field data that cannot map directly to Recruit CRM's standard schema is preserved in a custom field note or migrated as a candidate tag for admin review.
JobDiva
Contact
Recruit CRM & ATS
Contact
1:1JobDiva CRM Contacts (distinct from ATS Candidates) map to Recruit CRM Contacts. Contact records store client relationships, hiring manager information, and company affiliations. We preserve contact attributes and their associated company relationship by resolving the company lookup before writing contact records. Email, phone, title, and address fields map directly.
JobDiva
Company
Recruit CRM & ATS
Company
1:1JobDiva Companies map to Recruit CRM Companies. Each Company record can have multiple associated Contacts. We preserve the company-contact relationship graph at the destination by creating Company records first, then resolving the company reference when writing Contact records. Company website, industry, and address fields migrate directly.
JobDiva
Job
Recruit CRM & ATS
Job
1:1JobDiva Job orders map to Recruit CRM Jobs. We preserve job status, requirements, assigned recruiters, and pipeline stage. Jobs are created before any associated submittal records so that the job lookup is satisfied at the moment of submittal insert. JobDiva's assigned recruiter resolves to a Recruit CRM user by email match.
JobDiva
Submittal
Recruit CRM & ATS
Candidate-Job (Pipeline Entry)
1:1JobDiva Submittals map to Recruit CRM's Candidate-Job relationship records that appear in the pipeline. The mapping requires a custom status translation table because JobDiva submittal status values are defined per organization rather than as a fixed enum. We extract all active status values during scoping and build the mapping before migration. Submission date, interview outcomes, and submittal notes preserve with the record.
JobDiva
Interview
Recruit CRM & ATS
Interview/Activity on Candidate-Job
1:1JobDiva interview schedules are associated with submittals and contain candidate, job, interviewer, date/time, and outcome data. The Get Submittals Detail API returns interview data separately. We link interview records to the corresponding Candidate-Job pipeline entry in Recruit CRM and preserve interviewer assignment, scheduled time, and outcome status.
JobDiva
Hotlist
Recruit CRM & ATS
Tag or Pipeline Stage
lossyJobDiva Hotlists are curated candidate lists with custom names and ordered sequences. Recruit CRM does not have a native hotlist object. We re-create hotlist membership using Recruit CRM tags (one tag per hotlist name) applied to Candidate records, preserving the ordered sequence as a tag priority or custom sort field. The customer chooses between tags or a dedicated pipeline stage during scoping.
JobDiva
User-Defined Fields
Recruit CRM & ATS
Custom Fields
lossyJobDiva supports custom user fields on Candidates, Jobs, Submittals, and other objects created per organization via the API. We extract the user-defined field schema during scoping, compare against Recruit CRM's custom field capabilities, and pre-create matching custom fields before data import. Fields that cannot map directly (due to type incompatibility) are flagged in the scoping report for admin decision.
JobDiva
Event
Recruit CRM & ATS
Activity
1:1JobDiva Events track scheduled activities tied to Contacts, Candidates, or Jobs. Events sync with calendars and generate email alerts. We map events preserving their timestamps, linked entities, and reminder settings. Activity type (call, meeting, task) maps to the corresponding Recruit CRM activity type.
JobDiva
Sales Pipeline
Recruit CRM & ATS
Pipeline (Kanban)
lossyJobDiva CRM includes configurable sales pipelines for tracking business development with customizable stages per organization. Recruit CRM uses a visual Kanban pipeline with configurable stages. We map pipeline stage names and deal associations, remapping custom stage values to Recruit CRM equivalents during migration. If JobDiva pipeline stages do not map cleanly, we document the gap for the customer's admin to configure post-migration.
JobDiva
Attachment
Recruit CRM & ATS
Attachment on Candidate, Contact, Company, or Job
1:1Resume files, candidate documents, and company files attach to their parent records. We preserve binary attachments and link them to migrated records. Resume parsing metadata is extracted separately from the binary file and written to structured candidate fields. Any document without a valid parent record (orphan attachments) is held in a reconciliation queue for admin review.
| JobDiva | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Candidate | Candidate1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Submittal | Candidate-Job (Pipeline Entry)1:1 | Fully supported | |
| Interview | Interview/Activity on Candidate-Job1:1 | Fully supported | |
| Hotlist | Tag or Pipeline Stagelossy | Fully supported | |
| User-Defined Fields | Custom Fieldslossy | Mapping required | |
| Event | Activity1:1 | Fully supported | |
| Sales Pipeline | Pipeline (Kanban)lossy | Fully supported | |
| Attachment | Attachment on Candidate, Contact, Company, or Job1:1 | 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.
JobDiva gotchas
API access requires dedicated service user with restricted permissions
Submittal status values vary by organization configuration
Resume parsing metadata differs from raw file attachment
Performance degrades during large data extraction jobs
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
Scoping and API user provisioning
We audit the source JobDiva account to understand record volumes across Candidates, Contacts, Companies, Jobs, Submittals, Interviews, Hotlists, Events, and user-defined fields. We also extract the organization-specific submittal status value set for mapping. We simultaneously verify that a dedicated API user exists with the 'Only allow to access JobDiva API Calls' permission set; if not, we work with the customer's JobDiva admin to provision one before extraction begins. The scoping output is a written migration scope with record counts, submittal status mapping table, and hotlist re-creation recommendation.
Data extraction and deduplication
We extract data from JobDiva in dependency order using the API with pagination and retry logic to handle performance limits. Candidates extract first with their parsed resume fields and binary attachments. We run a deduplication pass on extracted candidate records to identify and resolve duplicates before writing to Recruit CRM, coordinating with the customer's admin on duplicate resolution rules if the source data has not been maintained.
Schema design and Recruit CRM preparation
We configure the destination Recruit CRM account: custom fields matching the JobDiva user-defined field schema, pipeline stages mapped from the custom submittal status table, and duplicate rules set to allow migration imports. If hotlists require re-creation as tags, we create the tag taxonomy in Recruit CRM before candidate import begins. Recruit CRM's own onboarding is self-service and documentation-first; we do not rely on vendor onboarding to prepare the schema.
Sandbox migration and reconciliation
We run a full migration into Recruit CRM using production-like data volume from a representative sample. The customer's team lead spot-checks 25-50 random candidate records, submittal chains, and company-contact relationships against the JobDiva source and signs off the mapping before production migration begins. Any mapping corrections, custom field gaps, or status translation issues surface here, not in production.
Production migration in dependency order
We run production migration in record-dependency order: Companies first, then Contacts (with company lookup resolved), Candidates (with resume attachments and parsed fields), Jobs (with assigned recruiter resolved by email), Submittals and Interviews (with parent candidate and job lookups resolved), Hotlists re-created as tags on Candidates, Events, and Sales Pipeline stages. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
We freeze JobDiva writes during cutover, 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 and Sequence inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild JobDiva automations or Diva Match rules as Recruit CRM workflow automations inside the migration scope; that is a separate engagement.
Platform deep dives
JobDiva
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 JobDiva 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
JobDiva: Not publicly documented.
Data volume sensitivity
JobDiva 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.
Category
FAQ
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