HRMS migration
Field-level mapping, validation, and rollback between People First and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
People First
Source
BambooHR
Destination
Compatibility
9 of 12
objects map 1:1 between People First and BambooHR.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from People First to BambooHR is a structural migration in both directions: a move from a conflict-resolution niche platform with no confirmed public API to a mainstream HRIS with a well-documented REST API and a 4.6-star rating from over 3,000 reviews. People First organises around Employees, Departments, and engagement data; BambooHR uses a richer object model with Employees, Departments, Jobs, Time Off Policies, Benefits, and Custom Fields. The primary technical constraint on this migration is the source side: no confirmed public API means we must coordinate manual CSV extraction with the customer, validate field completeness against their specific People First configuration, and handle any unstructured engagement or recognition data as a manual re-creation item rather than an automated transfer. We do not migrate workflows, automations, or engagement cadences from People First; these are delivered as a written inventory for your admin to rebuild in BambooHR.
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 People First 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.
People First
Employee
BambooHR
Employee
1:1People First Employee records map to BambooHR Employee. Standard fields (first name, last name, title, department, start date, employment status) have direct equivalents. Because no public People First field schema was confirmed, we require the customer to supply a field inventory before migration mapping is finalised. We apply a type-validation step to catch mismatches (date format, required fields, character limits) before import via BambooHR's POST /employees endpoint.
People First
Department
BambooHR
Department
1:1Department records from People First map to BambooHR Department. We preserve parent-child hierarchy using BambooHR's parentId field where the source hierarchy is available. If the source export flattens the hierarchy into a single parent field, we reconstruct the tree during the transform phase and validate against the BambooHR Department API response.
People First
PTO Balance
BambooHR
Time Off
lossyPeople First time-off balance data maps to BambooHR Time Off records attached to the Employee. We require the customer to confirm the source accrual model (annual grant vs accrual-based) and map it to the equivalent BambooHR policy type. Accrual history may require truncation if the source exports only current balances rather than a full transaction log; we flag this during discovery and agree on a truncation policy with the customer.
People First
Benefits
BambooHR
Benefits
1:1Benefits data referenced in People First maps to BambooHR Benefits Tracking at the Core tier. We flag benefit records for manual verification post-migration because no public People First export schema was found for benefit plan types, enrollment dates, or coverage tiers. The customer provides the People First benefits data export, and we map it to BambooHR's benefit plan fields where a direct equivalent exists.
People First
Engagement / Recognition Data
BambooHR
Custom Fields or Note
lossyPeople First's engagement and recognition records (employee awards, satisfaction scores, recognition events) have no direct BambooHR equivalent object. We map these to a BambooHR Custom Fields section on the Employee record for structured data, or to Note records for free-text recognition history. The customer chooses the strategy during scoping, and we document the chosen mapping in the field inventory handoff.
People First
User Account
BambooHR
User
1:1People First admin and end-user accounts map to BambooHR User records. We extract the user list from the source export, resolve email addresses as the dedupe key, and map role assignments to BambooHR's permission model (Employee, Manager, Admin). Any People First role without a direct BambooHR equivalent is flagged in the inventory for the customer to reassign post-migration.
People First
Custom Fields (People First)
BambooHR
Custom Fields (BambooHR)
lossyPeople First custom fields are not confirmed as accessible via export tooling. If the customer has employer-specific custom fields on Employee or Department, we request a field inventory from People First support or a manual field-level export. Custom fields map to BambooHR Custom Fields on the Employee object (text, dropdown, date, or checkbox type matched during discovery). Fields without a matching BambooHR type are documented in the inventory for manual post-migration re-creation.
People First
Documents
BambooHR
Employee Files
1:1Employee documents (contracts, policies, certifications) referenced in People First do not have a confirmed export path. We handle document migration via file-level transfer where the customer can provide a document archive from People First. Documents attach to the corresponding BambooHR Employee record via the Files section. If no archive is available, we document the missing documents in the inventory for manual re-upload.
People First
Employment Status
BambooHR
Employment Status
1:1Active, inactive, and terminated employee statuses from People First map directly to BambooHR Employment Status fields. Termination date, termination type, and eligible-for-rehire flags transfer where present in the source export. We apply BambooHR's required field validation on the status and status-date pair during import.
People First
Job / Title
BambooHR
Job
1:1Job titles and job data from People First map to BambooHR Job records. The Job object in BambooHR stores title, employment status, pay rate, pay type, FLSA status, and EEOC category. We extract job data from the Employee export and create corresponding BambooHR Job entries, linking each to the Employee record via the jobTitleId reference. If People First stores job history (multiple titles per employee), we create multiple Job records and link them chronologically.
People First
Location
BambooHR
Location
1:1Office or work location data from People First maps to BambooHR Location records. Location is used for time-off policy assignment and reporting by geography. If the source export does not include a dedicated location field, we extract it from the employee's address or department metadata and create Location records in BambooHR before the Employee import.
People First
Emergency Contact
BambooHR
Emergency Contact
1:1Emergency contact data from People First maps to the BambooHR Emergency Contact section on each Employee record. Fields include name, relationship, home phone, and mobile phone. We include these in the Employee import payload under the emergencyContacts array for the BambooHR API.
| People First | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Department | Department1:1 | Fully supported | |
| PTO Balance | Time Offlossy | Fully supported | |
| Benefits | Benefits1:1 | Mapping required | |
| Engagement / Recognition Data | Custom Fields or Notelossy | Fully supported | |
| User Account | User1:1 | Fully supported | |
| Custom Fields (People First) | Custom Fields (BambooHR)lossy | Fully supported | |
| Documents | Employee Files1:1 | Not supported | |
| Employment Status | Employment Status1:1 | Fully supported | |
| Job / Title | Job1:1 | Fully supported | |
| Location | Location1:1 | Fully supported | |
| Emergency Contact | Emergency Contact1:1 | 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.
People First gotchas
No publicly documented API confirmed in research
Extremely limited review corpus for migration planning
Custom field schema not publicly documented
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 tooling assessment
We run a scoped discovery call with the customer to identify their specific People First configuration: active employee count, department hierarchy, any custom fields on Employee or Department, time-off policies in use, engagement or recognition data volumes, and whether a People First export has already been attempted. Because no public API was confirmed for People First, we assess whether the customer can produce a manual CSV export from the admin portal or whether vendor assistance is required. The output is a written scope document with an agreed field inventory and export format.
Data export and field mapping validation
The customer exports data from People First in the agreed format. We run a type-validation pass on the export: field names, data types, date formats, required fields, and character limits are compared against BambooHR's API schema. Any missing required fields, date format mismatches, or invalid picklist values are flagged in a data quality report. We request the customer correct these in the source export before transformation begins. Custom field names from People First are mapped to BambooHR Custom Field definitions that we create in the destination account during this phase.
BambooHR sandbox configuration and schema setup
We create a BambooHR sandbox or use the BambooHR demo account to validate the target schema before production import. This includes provisioning Department records (in hierarchy order), Location records, Job records (for job title normalisation), Time Off policies, and Custom Field definitions. We run a trial import of a subset of employee records and reconcile field counts, required-field pass rates, and data integrity against the source export. Any schema adjustments are made in sandbox before touching production.
Department, Location, and Job normalisation
We import the normalised reference data first: Department hierarchy, Location records, and Job records. These must be in place before the Employee import because BambooHR's Employee object references Department (as a dropdown) and Job (as a lookup). Department parent-child relationships are resolved during this step using the People First department export. Job records are created from distinct title values in the Employee export, deduplicated and normalised.
Employee and time-off production import
We import Employees in BambooHR using the REST API with the validated field mapping. The Employee import includes emergency contacts, employment status, hire date, and any mapped custom fields. Time-off balances are imported as Time Off records linked to each Employee using the accrual policy agreed during discovery. If the customer opted to preserve only current balances, we seed those without transaction history. Each import phase emits a row-count reconciliation report.
Cutover, validation, and engagement field handoff
We freeze People First writes during a defined cutover window, extract a final delta of any records modified since the initial export, apply the delta to BambooHR, and enable BambooHR as the system of record. We run a final reconciliation pass comparing record counts and a spot-check of 25 random employee records against the source export. We deliver the written inventory of People First engagement and recognition data that could not be mapped to native BambooHR objects, with recommendations for how to re-create this data in BambooHR Custom Fields or via a third-party engagement tool. We provide a one-week hypercare window for data quality issues raised during the first payroll or time-off cycle.
Platform deep dives
People First
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Moderate HRMS migration. 1 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across People First and BambooHR.
Object compatibility
1 of 7 objects need a manual workaround.
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
People First: Not publicly documented.
Data volume sensitivity
People First 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.
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FAQ
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