HRMS migration

Migrate from Yello to BambooHR

Field-level mapping, validation, and rollback between Yello and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.

Yello logo

Yello

Source

BambooHR

Destination

BambooHR logo

Compatibility

45%

5 of 11

objects map 1:1 between Yello and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Yello logo

Yello

What's pushing teams away

  • Limited customization and flexibility: TechnologyCounter explicitly lists 'customization possible: No' and notes the platform lacks API access, frustrating teams with non-standard recruiting workflows.
  • Pricing concerns: Several verified reviewers cite cost as a pain point, with the platform perceived as expensive relative to alternatives for smaller or mid-market recruiting teams.
  • Alternative ATS adoption: Competitors like Workable appear frequently in Yello alternatives lists, suggesting teams evaluate and sometimes switch to platforms offering broader ATS functionality or lower price points.
  • Mobile and accessibility limitations: While Yello supports mobile access, reviewers note the mobile experience does not fully replicate desktop functionality, creating friction for recruiters working in the field.

Choosing

BambooHR logo

BambooHR

What's pulling them in

  • Lowest friction entry point for SMBs moving off spreadsheets — intuitive interface means most teams are functional within days, not weeks.
  • Consolidation value: BambooHR merges ATS, onboarding, HR records, time-off, and payroll into a single pane of glass that employees never need to leave.
  • Volume discounts applied automatically by headcount, so pricing scales predictably as the company grows without renewal negotiations.
  • BambooHR reports most customers go live in four to six weeks, making it a realistic commitment for under-resourced HR teams.
  • Award-winning Support Heroes cited frequently in reviews — responsive human support after implementation is a differentiator.

Object mapping

How Yello objects map to BambooHR

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

maps to

BambooHR

Applicant

1:1
Fully supported

Yello 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

maps to

BambooHR

Job

1:1
Fully supported

Yello 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

maps to

BambooHR

Application Status

lossy
Fully supported

Yello 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

maps to

BambooHR

Job (reference only)

lossy
Fully supported

Yello 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

maps to

BambooHR

Custom Fields + Note

1:many
Fully supported

Yello 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

maps to

BambooHR

Note

1:1
Fully supported

Yello 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

maps to

BambooHR

File

1:1
Fully supported

Yello 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

maps to

BambooHR

Custom Field (Multi-Select Picklist)

lossy
Fully supported

Yello 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

maps to

BambooHR

User

1:1
Fully supported

Yello 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

maps to

BambooHR

Custom Applicant Fields

lossy
Fully supported

Yello 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

maps to

BambooHR

Custom Job Fields

lossy
Fully supported

Yello 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.

Gotchas + challenges

What specifically takes care here

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 logo

Yello gotchas

High

No documented public API forces export-based migration

Medium

Custom field discovery must happen before migration scoping

Low

Event multi-day structure requires flattening during export

BambooHR logo

BambooHR gotchas

High

Undocumented API rate limits can trigger 503 errors

High

Per-employee pricing model requires active record count verification

Medium

API credentials must be sent on every request to avoid extra round trips

Medium

Custom field schema varies per account and requires manual inventory

Low

Document and attachment exports are not covered by standard report exports

Pair-specific challenges

  • Yello export-based extraction requires support coordination

    Yello has no documented public API, so we cannot pull data via authenticated API calls. We work from structured CSV exports and manual data dumps that must be requested from Yello support. The export may not deliver the full object graph in a single file; multi-file exports require reconciliation by Candidate ID across Requisition exports, Event attendance exports, and Evaluation exports. We scope the migration around what the export can reliably deliver and flag any gaps before migration begins. Customers should expect to coordinate with Yello support for export generation, which may add one to two weeks to the discovery phase.

  • BambooHR field type strictness blocks mismatched imports

    BambooHR's API enforces field types strictly. Text fields cannot accept numeric values without conversion, picklist fields reject values not in the defined option set, and date fields require ISO 8601 formatting. Yello exports do not always type-encode values (a numeric custom field may export as plain text). We validate and transform each field value against the target BambooHR field type before insert. Any record with a type mismatch is rejected, logged, and retried after correction. This validation pass adds processing time but prevents silent data corruption.

  • BambooHR ATS talent pools are optional and not Yello Event-equivalent

    BambooHR introduced candidate talent pools in 2021 as a way to store unplaced candidates for future roles. However, this is a simple tag-based categorization, not an event registration system. Yello Campus Events with multi-day scheduling, venue management, and attendance tracking have no equivalent in BambooHR. We document the event context (name, date, venue, recruiter attribution) as notes on the related Job or Applicant, but the scheduling and registration structure does not migrate. Recruiters rebuilding this workflow in BambooHR must use a third-party scheduling tool or manual task tracking.

  • Yello multi-day Event records require flattening

    Yello Campus Events can span multiple days and venues. The standard export represents a multi-day Event as a single record with a date range. We parse the date range, split into individual day records, and write each as a separate entry in the migration output. If the destination requires a parent-child linkage, we preserve the parent Event ID in a custom field on each day record. This parsing step is manual and requires confirmation of the intended structure with the customer's recruiting operations team.

  • BambooHR ATS add-on pricing affects total cost of ownership

    BambooHR's Core plan at $10/employee/mo does not include full ATS functionality. The ATS add-on runs $99-$199/month additional, and benefits administration also carries extra cost per CostBench's hidden-costs analysis. Organizations migrating from Yello to BambooHR expecting a like-for-like ATS replacement should confirm which BambooHR plan covers their recruiting needs. If BambooHR's ATS feature set is insufficient (e.g., no event management, limited evaluation forms), the customer may need to supplement with a dedicated ATS or accept reduced functionality.

Migration approach

Six steps for a successful Yello to BambooHR data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Yello logo

Yello

Source

Strengths

  • Specialized campus recruiting Event management with registration tracking and multi-day scheduling
  • LinkedIn Recruiter integration with real-time profile data refresh via LinkedIn CRM Connect
  • Centralized Candidate profile with sourcing, engagement history, and pipeline stage tracking
  • Branded career page and candidate communication tools for enterprise employer branding
  • FedRAMP Authorized government variant available for regulated recruiting environments

Weaknesses

  • No public API documented, limiting programmatic data export and integration options
  • No customization options reported for workflow or field configuration
  • Missing free trial and opaque enterprise pricing structure
  • Limited mobile platform parity compared to desktop functionality
  • Narrow focus on early talent and campus recruiting may not fit broader hiring needs
BambooHR logo

BambooHR

Destination

Strengths

  • Single platform consolidating ATS, onboarding, HR records, payroll, and time-off reduces system sprawl for SMBs.
  • Fast implementation — BambooHR reports four to six weeks from kickoff to go-live for most customers.
  • Per-employee pricing with automatic volume discounts makes cost predictable as headcount grows.
  • Strong customer support reputation (Support Heroes) cited consistently across G2, Capterra, and direct testimonials.
  • Well-documented API with UTF-8 encoding, clear field types, and HTTPS-only access.

Weaknesses

  • Mobile application is significantly limited compared to the desktop experience, frustrating remote and field workers.
  • Companies above 150–200 employees frequently outgrow the platform's feature depth and customization surface.
  • Limited advanced reporting and analytics compared to enterprise HR platforms — custom report building is the ceiling.
  • PTO and profile customization are pain points — non-standard accrual policies and complex org structures require workarounds.
  • Document management and attachment handling lack the granularity of dedicated document-centric HR systems.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Yello and BambooHR.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    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

    A

    Yello exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Yello to BambooHR migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Yello to BambooHR data migrations

Answers to the questions buyers ask most during Yello to BambooHR migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for organizations with fewer than 5,000 Candidates and 500 Requisitions with straightforward CSV exports. Migrations with complex multi-file exports, more than 30 custom fields, Event attendance records requiring parsing, or large attachment volumes (over 10,000 files) move to six to ten weeks because of manual export coordination with Yello support, custom field discovery, and multi-day Event splitting. Timeline is also affected by how quickly Yello support can generate the full data export.

Adjacent paths

Related migrations to explore

Ready when you are

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