HRMS migration
Field-level mapping, validation, and rollback between VidCruiter and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
VidCruiter
Source
Crelate
Destination
Compatibility
11 of 12
objects map 1:1 between VidCruiter and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from VidCruiter to Crelate is a transition from a video-interviewing-first platform built around custom Recruitment Process Modeling to a unified ATS and CRM designed for recruiting agencies and talent acquisition teams. VidCruiter organizes hiring around per-requisition pipeline stages with custom question templates and structured scorecards; Crelate uses a shared stage taxonomy with configurable workflows and activity forms. We resolve the stage-model difference during scoping by extracting the full stage map per job and collapsing or renaming stages where Crelate's model is more constrained. Video interview files are not embedded in standard database exports — we download them separately via API or signed URLs, package them as referenced media files, and attach them to the migrated candidate record in Crelate. VidCruiter's custom workflow model means we validate that pipeline logic is representable in Crelate before committing to the field mapping. Automated reference checks, skills assessments, and scorecard evaluations migrate as structured data attached to the candidate record. Crelate's API v3 throttles ingestion at 120 requests per minute per IP — we use queue-based chunking with exponential backoff to avoid rate-limit failures during bulk import. Workflows, interview templates, and automation rules do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Crelate.
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 VidCruiter 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.
VidCruiter
Candidate
Crelate
Person (Contact/Applicant)
1:1VidCruiter Candidate records map to Crelate Person records. We extract full contact details, application history, pipeline status, profile fields, and tags. Email address and phone number serve as the dedupe key during import. Any VidCruiter custom candidate fields map to Crelate custom fields on the Person record. Video interview response URLs, assessment scores, and rating metadata attach as linked notes or custom fields on the Person.
VidCruiter
Requisition/Job
Crelate
Job
1:1VidCruiter Requisitions map to Crelate Jobs. We extract all posting content, pipeline stage configurations, and hiring team assignments. Job status (Draft, Active, Closed, On Hold) maps to Crelate's job status field. The job description and requirements migrate as structured fields on the Job record. VidCruiter's per-requisition stages are extracted separately and normalized into Crelate's stage model before job import.
VidCruiter
Video Interview
Crelate
Document/File Attachment
1:1Pre-recorded and live video interviews are hosted media assets in VidCruiter. We download each video file via the API or signed URL, preserving the original filename and format. The downloaded file is attached as a File or Document record on the migrated Candidate Person record in Crelate, with the interview metadata (question asked, duration, submission timestamp) stored in a custom field or linked note for reference. Storage and re-hosting costs should be factored in, especially for organizations with large video libraries.
VidCruiter
Pipeline Stage (per requisition)
Crelate
Pipeline Stage
lossyVidCruiter allows each requisition to have a different set of pipeline stages, unlike Crelate's shared stage taxonomy. We extract the full stage map per job during scoping, identify which stages are semantically unique versus duplicative across requisitions, and normalize them into Crelate's stage model. Stages that cannot map directly are flagged for customer review and collapsed or renamed to match Crelate's available stage slots. Active pipelines with unique stage sets require coordinated timing to avoid mid-process disruptions.
VidCruiter
Interview Question/Guide
Crelate
Activity Form
1:1VidCruiter custom interview question sets and AI-generated interview guides are templates. We migrate them as structured question lists attached to the Job as Crelate Activity Forms with Field Mappings configured. The structured nature of VidCruiter's scorecard questions maps to Crelate's form field definitions. Note that Crelate Activity Forms support field-to-field mapping to Person or Job records, but the scoring logic requires manual rebuild in Crelate's evaluation workflow.
VidCruiter
Scorecard/Rating
Crelate
Note or Custom Field
1:1VidCruiter scorecard evaluations submitted by interviewers contain structured ratings and free-text feedback per question or overall. We map these to Crelate Note records linked to the Person record, preserving reviewer name, submission date, and individual question ratings as structured content. Numeric summary scores and overall ratings migrate to custom fields on the Person record for reporting queries. Raw scorecard templates migrate as standalone Activity Forms for reference by Crelate admins.
VidCruiter
Skills Assessment
Crelate
Custom Field
1:1Skills test results and automated scoring stored per candidate per job in VidCruiter are extracted as numeric scores and pass/fail thresholds. We map these to custom fields on the Crelate Person record with appropriate field types (number, boolean, picklist). Assessment name and test date migrate alongside the score. The raw assessment content (questions, answer keys) does not migrate as these are VidCruiter-hosted evaluation tools with no direct Crelate equivalent.
VidCruiter
Automated Reference Check
Crelate
Custom Record or Note
1:1Reference check data lives in VidCruiter's separate reference checking sub-module. We extract reference responses, reference provider details (name, relationship, contact), and verification status as structured fields. These attach as custom record entries or detailed Notes on the Person record in Crelate. If the customer uses Crelate's activity logging, reference check status may be tracked as a custom activity type.
VidCruiter
User/Recruiter
Crelate
User
1:1VidCruiter user accounts with role assignments (Admin, Recruiter, Hiring Manager) map to Crelate User records. Role names differ between platforms; we map VidCruiter roles to the closest Crelate role equivalents and flag any access discrepancies for the customer's admin to review. Users must be provisioned in Crelate before record migration begins because OwnerId references are required on most record imports.
VidCruiter
Hiring Team/Assignment
Crelate
User Assignment
1:1VidCruiter requisition-level hiring team assignments (interviewers, approvers, sourcers) map to Crelate User assignments on the Job or Person record. We extract assignment roles and match VidCruiter users to Crelate users by email during the lookup resolution phase. Any VidCruiter user without a matching Crelate user goes to a reconciliation queue for the customer to provision.
VidCruiter
Tag/Label
Crelate
Tag
1:1Tags applied to candidates or jobs for segmentation and workflow routing in VidCruiter migrate as flat tag fields on the corresponding Crelate record. Crelate's tag model is a flat taxonomy; if VidCruiter tags carry hierarchical or multi-value semantics, we flatten them and note the loss of hierarchy for the customer's awareness.
VidCruiter
Document/Attachment
Crelate
File
1:1Candidate-attached documents including resumes, cover letters, portfolio files, and other supporting materials migrate as Files linked to the Person record in Crelate. We preserve original filenames, file types, and attachment dates. The file binary transfers alongside metadata so that recruiters can open attachments in Crelate without additional retrieval steps.
| VidCruiter | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Person (Contact/Applicant)1:1 | Fully supported | |
| Requisition/Job | Job1:1 | Fully supported | |
| Video Interview | Document/File Attachment1:1 | Fully supported | |
| Pipeline Stage (per requisition) | Pipeline Stagelossy | Fully supported | |
| Interview Question/Guide | Activity Form1:1 | Fully supported | |
| Scorecard/Rating | Note or Custom Field1:1 | Fully supported | |
| Skills Assessment | Custom Field1:1 | Fully supported | |
| Automated Reference Check | Custom Record or Note1:1 | Fully supported | |
| User/Recruiter | User1:1 | Fully supported | |
| Hiring Team/Assignment | User Assignment1:1 | Fully supported | |
| Tag/Label | Tag1:1 | Fully supported | |
| Document/Attachment | File1:1 | 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.
VidCruiter gotchas
Live requisition template changes are irreversible and disruptive
Video interview files require separate media migration
Custom pipeline stages do not export with fixed schemas
Reporting access is role-restricted at the platform level
Third-party ATS integrations require bidirectional sync configuration
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 data audit
We audit the source VidCruiter account across all active requisitions, pipeline stage configurations, candidate record volumes, video interview counts, scorecard templates, automated reference check data, and user accounts with role assignments. We extract a complete inventory of per-requisition stage maps to assess the normalization scope. This phase produces a written discovery report with record counts per object, identified data quality issues (duplicates, empty fields, orphaned records), and a preliminary stage normalization strategy for customer review.
Video asset inventory and media planning
We enumerate every video interview asset in VidCruiter, including pre-recorded responses, live interview recordings, and any reference check videos. We estimate total storage size and recommend a migration strategy: full binary download and Crelate file attachment, URL reference preservation with ongoing VidCruiter access, or a hybrid approach. The customer decides based on storage budget and long-term video hosting preferences. Any decision impacts timeline and cost.
Stage normalization design
We design the Crelate stage normalization map based on the per-requisition stage inventory. This involves identifying semantically equivalent stages across all requisitions, collapsing unique but duplicative stages into Crelate's available slots, renaming stages to match Crelate's terminology, and flagging any stages that cannot be represented in Crelate's model without custom configuration. The customer reviews and approves the normalization map before schema creation begins. This step is the critical path item for VidCruiter migrations.
Crelate schema preparation and sandbox migration
We create the destination schema in Crelate, including custom fields on Person and Job records, Activity Forms for interview questions, tag taxonomies, and user role assignments mapped from VidCruiter roles. Schema is validated in a Crelate sandbox or test environment first. We run a full sandbox migration using production-like data volume and the customer reconciles record counts and field accuracy before production migration begins.
Production migration with dependency ordering
We run production migration in record-dependency order: Users (validated before migration begins), Jobs (with normalized stage assignments), Persons (candidates with contact details, tags, and skills assessments), Documents and Files (resumes, cover letters, attachments), Video Interview Files (downloaded and attached), Scorecard data (as Notes or custom fields), Reference Check data (as structured records), and Hiring Team assignments (User lookups resolved). Crelate API rate limits are enforced throughout with throttling and retry logic. Each phase emits a row-count reconciliation report.
Cutover, validation, and template rebuild handoff
We freeze VidCruiter 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 a written inventory of interview templates, scoring rules, and workflow configurations requiring manual rebuild in Crelate Activity Forms and workflows. We support a one-week hypercare window for reconciliation issues raised by the recruiting team. We do not rebuild VidCruiter interview templates, automation rules, or reference check workflows as code; that is a separate engagement.
Platform deep dives
VidCruiter
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 VidCruiter 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
VidCruiter: Not publicly documented — requires direct inquiry with VidCruiter for rate limit details.
Data volume sensitivity
VidCruiter 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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