HRMS migration
Field-level mapping, validation, and rollback between Journeyfront and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
Journeyfront
Source
Crelate
Destination
Compatibility
10 of 12
objects map 1:1 between Journeyfront and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Journeyfront to Crelate is a migration from an assessment-driven, high-volume hiring platform to a flexible ATS/CRM built for professional recruiters and staffing agencies. Journeyfront's core differentiator is company-specific assessment calibration that predicts candidate retention, but that predictive model is proprietary and does not export as re-runnable logic — we migrate assessment scores as structured historical fields only. Crelate's data model is oriented around Jobs, Candidates, Placements, and Client records with a drag-and-drop pipeline that differs structurally from Journeyfront's cohort-based stage progression. We remap Journeyfront's custom pipeline stages to Crelate's stage framework, resolve Hiring Team Member lookups against Crelate's user table, and migrate Offer records as structured data. Workflow automation rules, integration credentials, and analytics dashboards do not migrate; we deliver written inventories for admin rebuild and recommend exporting PDF snapshots of Journeyfront reports before the migration window opens.
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 Journeyfront object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Journeyfront
Jobs
Crelate
Job
1:1Journeyfront Jobs map to Crelate Job records. We extract job title, description, location, department, employment type, and job board posting status. Journeyfront's job board posting flags migrate to Crelate's distribution settings. The Job record is the primary parent for all candidate sub-records and must be created before any candidate migration so that the job lookup is satisfied.
Journeyfront
Candidates
Crelate
Person / Candidate
1:1Journeyfront Candidates map to Crelate Person records. The full candidate profile — contact information, work history, screening responses, and pipeline stage assignment — migrates as structured fields. We preserve the candidate's original Journeyfront record ID in a custom field for audit traceability. Any candidate without a matching email in Crelate is inserted as a new Person record; duplicates are resolved by email dedupe.
Journeyfront
Assessments
Crelate
Custom Candidate Fields
1:1Journeyfront assessment scores migrate as custom numeric fields on the Crelate Person record. We map each distinct Journeyfront assessment dimension (retention prediction, performance score, screening composite) to a corresponding custom field in Crelate. The company-specific calibration algorithm does not export — this is a documented gap. We flag all assessment records during scoping so the customer's admin can establish new baseline scoring in Crelate or decide which assessment dimensions to retain as historical reference data.
Journeyfront
Screening Questions
Crelate
Custom Candidate Fields / Question Library
1:1Journeyfront screening question responses (common in BPO multi-client contexts) migrate to Crelate custom candidate fields. Question text and scoring rubrics extract as metadata and map to Crelate's question library where the destination supports it. BPO clients with client-customized screening recipes will need to rebuild these in Crelate's job-specific screening configuration post-migration.
Journeyfront
Pipeline Stages
Crelate
Pipeline Stages
lossyJourneyfront's custom pipeline stages per job or workflow map to Crelate's stage framework. Stage names, order, and any time-based triggers export from Journeyfront and are remapped to the nearest Crelate stage equivalents. Crelate's drag-and-drop pipeline builder accepts these as starting configuration, but stage automation rules (time delays, score thresholds) are documented separately and require rebuild in Crelate's workflow builder post-migration.
Journeyfront
Interviews
Crelate
Activity (Interview)
1:1Journeyfront interview records — including interviewer assignment, scheduled date and time, scorecards, ratings, and overall recommendation — migrate to Crelate Activity records of type Interview. We preserve the interviewer lookup by email match against Crelate's user directory and link the activity to the candidate's Person record. Notes attached to the interview migrate as activity notes.
Journeyfront
Offers
Crelate
Offer
1:1Journeyfront Offer records map to Crelate Offer records. We extract position reference, compensation details (salary, bonus, equity if present), offer status, and candidate response. Status values (pending, accepted, declined, withdrawn) remap to Crelate's offer status taxonomy. The offer record links to the candidate's Person record and the related Job record.
Journeyfront
Hiring Team Members
Crelate
Users
1:1Journeyfront users, hiring managers, and interviewers map to Crelate User records by email resolution. Role assignments (hiring manager, recruiter, interviewer, coordinator) migrate to Crelate's permission-based roles. Any Journeyfront user without a matching Crelate User account enters a reconciliation queue for the customer's admin to provision before candidate migration begins.
Journeyfront
Automation Rules
Crelate
Workflow / Automation
lossyJourneyfront automation rules (triggers based on stage, score thresholds, or time delays) are extracted as rule definitions and translated to a written inventory. Crelate's workflow builder is different from Journeyfront's trigger model. We do not migrate automation rules as code. The inventory document lists every active Journeyfront automation with its trigger logic, conditions, actions, and the recommended Crelate equivalent for the customer's admin to rebuild.
Journeyfront
Analytics and Reports
Crelate
Reports
1:1Journeyfront's analytics dashboards (turnover reduction, tenure improvement, SLA metrics) are computed dynamically from raw data and have no flat export. We recommend exporting PDF snapshots of key reports before migration cutoff. All underlying candidate, assessment, and interview data migrates normally, so Crelate's reporting tools can generate equivalent metrics post-migration from the migrated dataset.
Journeyfront
Integrations
Crelate
Integrations
1:1Journeyfront integrations with job boards, background check vendors, and HRIS systems are configured via API credentials in the Journeyfront platform. These credentials are external to the data export and do not migrate. Job board posting integrations, background check connections, and HRIS sync settings must be reconfigured manually in Crelate. We provide a list of all active Journeyfront integrations as a reference for the customer's admin during Crelate configuration.
Journeyfront
Companies (if applicable)
Crelate
Organization / Client
1:1If Journeyfront contains company-linked candidate data (common in BPO or professional staffing contexts), Journeyfront Company records map to Crelate Organization or Client records. The mapping depends on whether the company represents a client (staffing agency) or a hiring company (corporate). We clarify the intended mapping during scoping and configure Crelate's organization type accordingly.
| Journeyfront | Crelate | Compatibility | |
|---|---|---|---|
| Jobs | Job1:1 | Fully supported | |
| Candidates | Person / Candidate1:1 | Fully supported | |
| Assessments | Custom Candidate Fields1:1 | Mapping required | |
| Screening Questions | Custom Candidate Fields / Question Library1:1 | Mapping required | |
| Pipeline Stages | Pipeline Stageslossy | Mapping required | |
| Interviews | Activity (Interview)1:1 | Fully supported | |
| Offers | Offer1:1 | Fully supported | |
| Hiring Team Members | Users1:1 | Mapping required | |
| Automation Rules | Workflow / Automationlossy | Mapping required | |
| Analytics and Reports | Reports1:1 | Not supported | |
| Integrations | Integrations1:1 | Not supported | |
| Companies (if applicable) | Organization / Client1:1 | 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.
Journeyfront gotchas
Assessment predictive model does not export
Analytics dashboards are not data records
Integration credentials must be rebuilt
Pipeline stages vary by workflow
Crelate gotchas
120 req/min API rate limit throttles bulk migrations
20 custom field per-entity cap forces data model decisions
15,000-record export ceiling on single operations
Sequences and automation workflows do not migrate
API key is a querystring parameter, not a header
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source Journeyfront account across record types, custom pipeline stages, assessment dimensions, screening question rubrics, hiring team structure, and active automation rules. We pair this with a review of the destination Crelate account's existing configuration — pipeline templates, custom fields, user roles, and any existing data that could create dedupe conflicts. The discovery output is a written migration scope document with the object mapping, stage remapping plan, assessment field inventory, and a recommendation on which data to migrate versus archive.
Data export and assessment field normalization
We extract data from Journeyfront using its export APIs and supported CSV formats. For assessment data, we extract all numeric score fields and map them to Journeyfront's assessment dimension names so that the migration team can verify which dimensions are present before designing the Crelate custom field schema. We flag any assessment records with missing or null scores and confirm with the customer whether to include partial records. We also extract PDF snapshots of analytics dashboards at this stage before the migration window opens.
Crelate schema configuration
We configure Crelate's destination schema before data import. This includes creating custom numeric fields for each Journeyfront assessment dimension, setting up pipeline stages mapped from Journeyfront's custom stage names, configuring offer status picklist values, and defining user roles matched to Journeyfront's hiring team roles. Crelate's drag-and-drop pipeline builder accepts the stage configuration. We deploy configuration to Crelate's sandbox or test environment first for validation before production migration.
User and team reconciliation
We extract every distinct Journeyfront user referenced on candidate, interview, and offer records and match by email against Crelate's user directory. Users without a matching Crelate account enter a reconciliation queue. The customer's Crelate admin provisions any missing users and assigns the appropriate roles. Migration cannot proceed past this step because interviewer lookups, recruiter assignments, and hiring manager links all depend on resolved user records.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated), Jobs (as the primary parent for all candidates), Persons (from Candidates with email dedupe), Organization/Client records (if applicable), Pipeline stage configuration, Interview Activities, Offers, and finally Assessment custom field data linked to Person records. Each phase emits a row-count reconciliation report before the next phase begins. Assessment scores land last because they depend on the Person records being finalized.
Cutover, validation, and workflow rebuild handoff
We freeze Journeyfront writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the automation rule inventory document and the integration checklist to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. Workflow automation rebuild, screening question reconfiguration, and integration re-setup are outside the migration scope and are handled by the customer's admin team or a separate engagement.
Platform deep dives
Journeyfront
Source
Strengths
Weaknesses
Crelate
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 Journeyfront and Crelate.
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
Journeyfront: Not publicly documented..
Data volume sensitivity
Journeyfront 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
Answers to the questions buyers ask most during Journeyfront to Crelate migration scoping. Not seeing yours? Book a call.
Walk through your Journeyfront to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Journeyfront
Other ways to arrive at Crelate
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.