HRMS migration
Field-level mapping, validation, and rollback between Yello and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
Yello
Source
Crelate
Destination
Compatibility
8 of 12
objects map 1:1 between Yello and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Yello to Crelate is a shift from a campus-recruiting-focused platform with no documented public API to a full-featured ATS and CRM built for staffing and recruiting agencies. Yello lacks API access, which means we extract data from structured CSV exports and handle dependency sequencing manually, flagging any duplicate Candidates surfaced across multiple Requisitions. Crelate's documented REST API allows us to write records programmatically with proper type-mapped fields, batch chunking, and parent-record resolution. We preserve Pipeline Stage ordering, custom Candidate and Requisition field schemas, Event multi-day structures, and Evaluation scoring. Workflows, automations, and Crelate's Automation and Sequencing features do not migrate as configuration; we deliver a written inventory of these for the customer's admin to rebuild in Crelate's 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 Yello 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.
Yello
Candidate
Crelate
Person (Candidate)
1:1Yello Candidate records map directly to Crelate Person records with the Candidate subtype. We extract contact fields (name, email, phone, address), source attribution, pipeline stage, tags, and engagement history. Custom Candidate properties discovered during scoping map to Crelate custom fields on the Person record. The dedupe key is email address; any Candidates sharing an email across multiple Yello Requisitions are flagged as duplicates and held in a reconciliation queue for the customer's admin to resolve before final insert.
Yello
Job Requisition
Crelate
Job
1:1Yello Job Requisitions map to Crelate Job records. The Requisition's department, location, headcount, status (Open/Closed/Draft), and description fields transfer directly. We preserve the many-to-one relationship to Candidates by writing Jobs before Candidates and populating the Candidate-to-Job association during Candidate import using the Job's Crelate ID as a foreign reference. Multi-requisition workflows in Yello map to Crelate's Job record types if multiple hiring processes are configured.
Yello
Event
Crelate
Event (Activity)
1:manyYello Campus Events spanning multiple days require splitting into individual day records in Crelate. We parse the Yello Event's date range, generate a separate Event record for each scheduled day, and preserve the parent Event name as a prefix so that all split records are identifiable as a cohort. Venue, registration links, and attendance counts migrate to each split Event. Registration lists migrate as Event invitee records linked to the corresponding daily Event.
Yello
Evaluation
Crelate
Activity (Form)
1:1Yello Evaluations containing scores, comments, and evaluator attribution tied to a Pipeline Stage map to Crelate Activity records with Form responses. Custom evaluation forms may use non-standard field names, so we build a field-mapping table during discovery before writing. The evaluator's name maps to the Activity author, and the evaluation timestamp preserves for chronological ordering in the Candidate's activity timeline.
Yello
Note
Crelate
Activity (Note)
1:1Yello free-text notes attached to Candidates migrate as Crelate Activity records with the Note type. We extract the note body, author, and timestamp, writing as plain-text content. Notes without a timestamp receive the record creation date from Yello export. HTML-formatted notes from Yello render as rich-text notes in Crelate where the destination supports it.
Yello
Tag
Crelate
Tag
1:1Yello tags used to categorize Candidates by school, degree, role, or recruiting season migrate as Crelate Tags. Tags are extracted as a flat list from the Yello export and written to Crelate's Tag object, then linked to the corresponding Person records via TagAssignment records. If the customer uses Yello tags for segmentation, we preserve the full tag vocabulary so that reporting groups survive the migration.
Yello
Pipeline Stage
Crelate
Pipeline + Stage
lossyYello configurable hiring stage names and ordering migrate to Crelate Pipeline and Stage configuration. We extract the stage name, its position in the sequence, and whether the stage is active. Stage ordering is preserved by setting the sort_order value in Crelate's Pipeline stage configuration. If Yello stages use custom names (e.g., 'Campus Screen' or 'Recruiter Review'), we create Crelate Pipeline Stages with matching names rather than defaulting to Crelate's standard stage vocabulary.
Yello
Attachment
Crelate
Document
1:1Yello binary Attachments (resumes, cover letters, portfolio items) associated with Candidates migrate to Crelate Document records linked to the Person. We extract the file blob and original filename, preserving the upload timestamp from Yello. If the Yello export delivers attachments as URLs rather than blobs, we note this as a limitation and flag which Documents require manual re-upload in Crelate.
Yello
User
Crelate
User
1:1Yello internal recruiter and admin user accounts map to Crelate User records by email match. We extract user names and email addresses from the Yello export and match against the Crelate destination's User table. Any Yello User without a matching Crelate User is placed in a reconciliation queue for the customer's admin to provision before record import resumes. Role and permission parity is out of scope for the data migration; the customer's admin configures Crelate's role-based access post-migration.
Yello
Custom Field (Candidate-level)
Crelate
Custom Field (Person)
lossyYello custom Candidate properties discovered during discovery scoping map to Crelate custom fields on the Person record. We audit the full field list from the sample export, generate a field-mapping table covering field name, data type, and destination field ID, and pre-create the custom fields in Crelate before any Person records are written. Fields missed during discovery appear as unmapped blanks and require a correction pass.
Yello
Custom Field (Requisition-level)
Crelate
Custom Field (Job)
lossyYello custom Job Requisition properties map to Crelate custom fields on the Job record. We apply the same discovery and field-mapping process used for Candidate custom fields, creating Crelate custom fields before Job import and flagging any fields that require a data-type decision (e.g., a Yello text field storing a numeric value that should become a Crelate number field).
Yello
Event Registration
Crelate
Event Attendee
1:1Yello Event registration records linking Candidates to Events migrate to Crelate Event Attendee records. We resolve the Candidate's new Crelate Person ID and the Event's new Crelate Event ID at migration time and write the attendee association. Registration status (Registered, Attended, No-Show) migrates to the attendee record. If the Yello export delivers registrations as separate CSV passes, we coordinate the ordering so that Candidates and Events exist before attendee records are inserted.
| Yello | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Person (Candidate)1:1 | Fully supported | |
| Job Requisition | Job1:1 | Fully supported | |
| Event | Event (Activity)1:many | Fully supported | |
| Evaluation | Activity (Form)1:1 | Fully supported | |
| Note | Activity (Note)1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Pipeline Stage | Pipeline + Stagelossy | Fully supported | |
| Attachment | Document1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Field (Candidate-level) | Custom Field (Person)lossy | Fully supported | |
| Custom Field (Requisition-level) | Custom Field (Job)lossy | Fully supported | |
| Event Registration | Event Attendee1:1 | 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.
Yello gotchas
No documented public API forces export-based migration
Custom field discovery must happen before migration scoping
Event multi-day structure requires flattening during export
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
Export coordination and discovery scoping
We coordinate with Yello support to generate full CSV exports covering Candidates, Job Requisitions, Events, Event Registrations, Evaluations, Notes, Tags, Pipeline Stages, Attachments, and Users. We request a sample export before the formal engagement to audit custom field names, custom field values, and the multi-day Event structure. Discovery output is a written scope document listing every object to be migrated, the estimated record counts, and any export limitations that require manual workarounds.
Schema design and Crelate custom field provisioning
We provision custom fields in Crelate for every Yello custom Candidate and Requisition property discovered during scoping. Pipeline and Stage configuration is created to match Yello's stage names and ordering. If the customer uses multiple hiring processes in Yello, we configure corresponding Crelate Job record types. All custom fields and configuration are deployed into a Crelate sandbox or the production org (depending on the customer's preference) before any data write begins. The customer's Crelate admin validates the field layout before we proceed to migration.
Sandbox migration and reconciliation
We run a full migration into Crelate using the production-like data volume from the exports. The customer's recruiting lead reconciles record counts (Candidates in, Jobs in, Events in, Activities in), spot-checks 25-50 random records against the Yello source, and signs off the schema and mapping before production migration begins. Any mapping corrections, including field name adjustments and multi-day Event splitting logic, are finalized here. This step typically takes one to two weeks depending on data volume and discovery completeness.
User reconciliation and Crelate User provisioning
We extract every distinct Yello User referenced on Candidate, Job, Event, and Activity records and match by email against the Crelate destination's User table. Users without a matching Crelate account are placed in a reconciliation queue. The customer's Crelate admin provisions any missing Users and confirms role assignments. Migration cannot proceed past this step because Owner and assignee lookups in Crelate require valid User references.
Production migration in dependency order
We run production migration in record-dependency order: Crelate Users (validated), Pipeline and Stage configuration, Jobs (Requisitions), Events (with multi-day splitting applied), Person records (Candidates with dedupe), Activity records (Notes, Evaluations, Event Registrations), Attachments (Documents), and Tags (last, with tag assignments linked to Persons). Each phase emits a row-count reconciliation report before the next phase begins. We write to Crelate via its REST API with batch chunking and retry logic for transient failures.
Cutover, validation, and configuration handoff
We freeze Yello writes during the cutover window, run a final delta migration of any records modified during the migration period, then enable Crelate as the system of record. We deliver the custom field mapping table, Pipeline and Stage configuration summary, and the Automation and Sequencing configuration guide to the customer's admin. We support a one-week hypercare window where we resolve any data quality issues raised by the recruiting team. We do not rebuild workflows, automations, or sequences as part of the migration scope; that work is handled separately.
Platform deep dives
Yello
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 Yello 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
Yello: Not publicly documented. Yello's API is enterprise-focused and operates under customer-specific service agreements rather than a public per-minute quota..
Data volume sensitivity
Yello exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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