HRMS migration
Field-level mapping, validation, and rollback between Yello and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Yello
Source
BambooHR
Destination
Compatibility
5 of 11
objects map 1:1 between Yello and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Yello to BambooHR is a shift from a purpose-built campus recruiting ATS to an all-in-one HRIS that includes basic applicant tracking. Yello lacks a documented public API, so we work from structured CSV exports and manual data dumps, sequencing records in dependency order and flagging any objects that require re-entry. We map Yello Candidates to BambooHR Applicants, Yello Requisitions to BambooHR Jobs, and preserve pipeline stage ordering and custom field schemas throughout. BambooHR's ATS is narrower than Yello's campus event management and evaluation forms; we document those gaps in the handoff and flag where data may need manual rebuild in BambooHR or remain as reference notes on the Applicant record.
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 BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Yello
Candidate
BambooHR
Applicant
1:1Yello Candidates map to BambooHR Applicants. We extract name, email, phone, address, source, pipeline stage, tags, and engagement history from the Candidate CSV export. In BambooHR, Applicants are created via POST /employees/hire or tracked via the BambooHR ATS. We preserve the original Yello Candidate ID in a custom field yello_candidate_id__c for audit and reconciliation. Tags from Yello map to a multi-select picklist or text field in BambooHR depending on tag cardinality.
Yello
Job Requisition
BambooHR
Job
1:1Yello Requisitions map to BambooHR Jobs. We extract job title, department, location, headcount, status, and description from the Requisition export. In BambooHR, Jobs are created via POST /jobs and track status (open, closed, filled). The Requisition status maps to BambooHR Job status values. If Yello has department and location as custom fields rather than native properties, we map them to BambooHR's department field and the Job's location string.
Yello
Pipeline Stage
BambooHR
Application Status
lossyYello Pipeline Stages map to BambooHR application status values. We extract the stage name and position from Yello's pipeline configuration and create corresponding application status entries in BambooHR via the ATS settings. Stage probability percentages from Yello (if exported) are stored in a custom field for reference. The stage ordering is preserved by sequencing the BambooHR status list to match the Yello pipeline order.
Yello
Event
BambooHR
Job (reference only)
lossyYello Campus Events have no direct BambooHR equivalent. Events represent campus recruiting sessions with registration lists and multi-day scheduling that BambooHR does not model. We extract Event metadata (name, date, venue, registration count) and write it as a note on the related Job in BambooHR, or as a standalone reference document delivered alongside the migration. Candidate attendance records from Events are parsed and linked to the corresponding Applicant as tags or notes indicating event participation.
Yello
Evaluation
BambooHR
Custom Fields + Note
1:manyYello Evaluations (structured feedback with scores and comments) do not have a native BambooHR equivalent. We split Evaluations into component parts: numeric scores map to custom numeric fields on the Applicant record (eval_score_1__c, eval_score_2__c, etc.), and free-text comments and evaluator attribution are written as Note records attached to the Applicant. We document the full evaluation schema during discovery and generate a field-mapping table covering each evaluation form field name and its BambooHR target.
Yello
Note
BambooHR
Note
1:1Yello Notes migrate to BambooHR Notes attached to the Applicant record. We extract note body, author name, and timestamp. BambooHR supports notes on employees and applicants; we write the note via the API with the associated employee or applicant ID. If notes contain HTML formatting, we strip to plain text unless the target field supports HTML rendering.
Yello
Attachment
BambooHR
File
1:1Yello Attachments (resumes, cover letters, portfolio items) migrate to BambooHR Files attached to the Applicant record. We extract the file blob and original filename from the export. BambooHR stores files as Base64-encoded content in the File table linked to the employee or applicant. File type is preserved from the original extension. Binary attachments exceeding 25 MB require chunked upload handling.
Yello
Tag
BambooHR
Custom Field (Multi-Select Picklist)
lossyYello Tags (school, degree, role, recruiting season) are extracted as a flat list and mapped to a BambooHR custom multi-select picklist field on the Applicant record. If the tag list exceeds 150 values (BambooHR multi-select limit), we use a text field or create multiple single-select fields grouped by tag category. The customer confirms tag categorization strategy during scoping.
Yello
User
BambooHR
User
1:1Yello Users (recruiters, admins) map to BambooHR Users by email match. We extract user name and email from the Yello export and match against BambooHR's user table. Any Yello User without a matching BambooHR User is placed in a reconciliation queue; the customer's BambooHR admin provisions missing users before final record assignment. Role and permission parity is out of scope for the data migration.
Yello
Custom Candidate Fields
BambooHR
Custom Applicant Fields
lossyYello custom Candidate properties migrate to BambooHR custom fields on the Applicant object. Without a schema API in Yello, we request a sample export or screenshots of all configured custom fields during discovery. Each custom field is audited for data type (text, number, date, picklist) and mapped to the equivalent BambooHR custom field type. Required field constraints are enforced during import; any missing required values block the record insert and are flagged for correction.
Yello
Custom Requisition Fields
BambooHR
Custom Job Fields
lossyYello custom Requisition properties migrate to BambooHR custom fields on the Job object or as linked custom fields on the associated Job record. We follow the same discovery and field-mapping process as for custom Candidate fields. Custom requisition fields that reference other records (e.g., department lookup) are flattened to text values in BambooHR if no equivalent lookup exists.
| Yello | BambooHR | Compatibility | |
|---|---|---|---|
| Candidate | Applicant1:1 | Fully supported | |
| Job Requisition | Job1:1 | Fully supported | |
| Pipeline Stage | Application Statuslossy | Fully supported | |
| Event | Job (reference only)lossy | Fully supported | |
| Evaluation | Custom Fields + Note1:many | Fully supported | |
| Note | Note1:1 | Fully supported | |
| Attachment | File1:1 | Fully supported | |
| Tag | Custom Field (Multi-Select Picklist)lossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Candidate Fields | Custom Applicant Fieldslossy | Fully supported | |
| Custom Requisition Fields | Custom Job Fieldslossy | 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
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and export coordination
We audit the Yello instance for record counts across Candidates, Requisitions, Events, Evaluations, Notes, Attachments, Tags, Pipeline Stages, and Users. We also request screenshots or a sample export of all configured custom fields on Candidate and Requisition objects. Simultaneously, we coordinate with Yello support to generate the full data export. We assess export completeness by validating record counts against what Yello reports, and flag any missing object exports (e.g., Event attendance records) for follow-up. We pair this with a BambooHR API audit to confirm API access, existing custom field configuration, and ATS plan tier.
Custom field discovery and mapping table generation
Without a Yello schema API, we must manually discover the full custom field list. We request a full export or screenshots of all custom Candidate and Requisition field configurations during the discovery call. We generate a field-mapping table covering each custom field's name, data type, picklist values (if applicable), and target BambooHR field (new or existing). BambooHR custom fields are created via POST /employees/customfields or POST /job/customfields before migration begins. Any custom fields discovered after schema creation require a correction pass.
Event parsing and multi-day flattening
We extract Yello Campus Events from the export and parse date ranges into individual day records. Each day record is annotated with the parent Event ID, venue, and registration list. We write the parsed Event metadata as notes on the related Job in BambooHR or deliver it as a reference document with the migration handoff. Candidate attendance at specific Event days is preserved as tags on the Applicant record (e.g., EventName_2024Fall_Day1). This step is manual and requires confirmation with the customer's recruiting operations team.
Export parsing and dependency-ordered staging
We parse the Yello CSV exports into structured staging tables ordered by dependency. Candidates (without dependencies) stage first; Requisitions stage second and are linked to Candidates via the Candidate ID foreign key. Pipeline Stages stage third (before Evaluations that reference them). Notes and Attachments stage last because they reference Candidates and Requisitions. We resolve duplicate Candidates that appear across multiple Requisition exports by email dedupe and retain all pipeline stage assignments. We run a row-count reconciliation against the export totals before any write to BambooHR begins.
BambooHR write with API validation and error recovery
We write records to BambooHR via the REST API in dependency order: custom fields first (via POST /employees/customfields and POST /job/customfields), then Users matched by email, then Jobs from Requisitions, then Applicants from Candidates (with yello_candidate_id__c preserved), then Notes and Attachments, then Tags. BambooHR field type strictness is enforced in the transform layer before each API call. Failed records are logged with error codes and retried up to three times with exponential backoff before being moved to a correction queue. We emit a reconciliation report after each phase comparing source counts to destination insert counts.
Cutover, validation, and gap documentation
We freeze writes to both systems during cutover. Any records modified in Yello after the export timestamp are captured in a delta export and written to BambooHR. We validate a random sample of 25-50 records against the Yello source (field-by-field comparison) and deliver a validation report. We document gaps that have no BambooHR equivalent (Event scheduling structure, evaluation form builder) as a written handoff note with recommended rebuild steps. We do not rebuild BambooHR workflows or ATS automations as part of standard scope; these are delivered as a separate configuration inventory for the customer's admin.
Platform deep dives
Yello
Source
Strengths
Weaknesses
BambooHR
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 BambooHR.
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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