HRMS migration
Field-level mapping, validation, and rollback between Phenom and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Phenom
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between Phenom and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Phenom to BambooHR is a directional shift from an enterprise Talent Experience platform to an SMB HRIS. Phenom is built around recruiting, career development, and AI-driven candidate matching across the full hire-to-retire lifecycle. BambooHR is built for small and medium businesses managing employee records, time off, onboarding, and payroll from a single HRIS. The migration scope contracts significantly: we carry over employee profiles, job postings, application history, and tag assignments, but FitScore AI-matching data cannot replicate because BambooHR has no equivalent scoring engine. Phenom's Projects (workflow stage topologies) and Campaign sequences (multi-step outreach cadences) do not migrate as automation logic; BambooHR's workflow capabilities are more constrained, and these require explicit rebuild inventory. We export the full data payload from Phenom's REST APIs, validate field types against BambooHR's field type schema, and deliver a written automation handoff document covering every Project and Campaign your team needs to rebuild on the destination platform.
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 Phenom 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.
Phenom
Candidate
BambooHR
Job Application (BambooHR ATS module)
1:1Phenom Candidates map to BambooHR Job Applications within the BambooHR ATS module. Standard candidate fields (name, email, phone, address, LinkedIn URL) map to their BambooHR equivalents. We export the full Additional Fields payload per candidate and map these to BambooHR Employee Custom Fields or Candidate Custom Fields depending on whether the candidate has been hired. Any candidate records marked Rejected or Withdrawn in Phenom are included in the export with their status preserved for reconciliation.
Phenom
Job
BambooHR
Job Posting
1:1Phenom Job records map to BambooHR Job Postings. We export job title, description, location, employment type, department, and job requirements. BambooHR's job posting structure is simpler than Phenom's; any complex job requirements stored as structured custom fields in Phenom become free-text or multiple-choice custom fields in BambooHR's Job Posting form.
Phenom
Application
BambooHR
Job Application (linked to Employee post-hire)
1:1Phenom Applications link Candidates to Jobs and contain status, stage progression, timestamps, and the candidate ID association. We export the full application record. When a candidate is hired, we link the BambooHR Job Application to the newly created BambooHR Employee record. Application status history migrates as a note or custom history field since BambooHR's ATS does not maintain a detailed application stage log.
Phenom
Employee Profile
BambooHR
Employee
1:1Phenom Employee records map directly to BambooHR Employee records. The Employee Profile API in Phenom exports employee data including preferences, skills data, and tenure information. We map standard fields (name, hire date, department, job title, manager, employment status) to BambooHR's core Employee fields. Skills and tenure data that do not have a direct BambooHR equivalent become custom Employee Fields.
Phenom
Tag
BambooHR
Custom Employee Field (Multi-Select) or Note
lossyPhenom tag assignments export as a vocabulary list and per-candidate tag list. Tags used for candidate segmentation (source, level, clearance) map to BambooHR custom multi-select fields on the Employee record. Tags used for short-term categorization (interview status, interview round) map to BambooHR notes attached to the Job Application. The customer chooses the tag strategy during scoping based on how BambooHR's ATS module will be used.
Phenom
Additional Fields (Custom Candidate Attributes)
BambooHR
Custom Employee Fields / Custom Candidate Fields
lossyPhenom Additional Fields are tenant-specific custom attributes on candidate profiles exposed via the Candidates API GET/PUT operations. We export the full Additional Fields payload per record. BambooHR custom fields enforce type constraints (text, date, dropdown, checkbox, etc.). If a Phenom Additional Field is free-text and BambooHR expects a picklist, we pre-create the picklist options in BambooHR during schema setup or map to a text-type custom field to avoid validation errors during import.
Phenom
FitScore (AI Matching)
BambooHR
N/A (flagged for rebuild)
1:1FitScore is Phenom's proprietary AI-generated candidate-to-job compatibility score built on its skills ontology. BambooHR has no AI matching or scoring engine. We export the underlying skills, experience, and qualification fields that contribute to FitScore as standard employee or candidate custom fields, then flag FitScore as a feature requiring evaluation post-migration. The customer documents FitScore thresholds and scoring rules in the migration manifest for manual re-evaluation or third-party AI tool integration.
Phenom
Project (Workflow Topology)
BambooHR
N/A (written inventory for rebuild)
1:1Phenom Projects contain multiple Statuses defining the progression path for candidates through a workflow. These are modeling constructs, not flat pipeline fields. We export the complete workflow topology including stage names, ordering, and conditional routing as a JSON topology document. BambooHR's ATS does not support multi-stage workflow topologies; we deliver the Project inventory so the customer's admin can configure BambooHR's applicant pipeline stages manually. Custom routing logic that references Phenom-specific rules is documented for rebuild.
Phenom
Campaign (Email/SMS Sequences)
BambooHR
N/A (written inventory for rebuild)
1:1Phenom Campaign APIs manage one-to-many candidate outreach sequences with template content and send history. We export campaign structure, template content, and send history metadata as a written document. BambooHR supports standard email sending but has no campaign cadence or sequence automation. Email templates migrate as content files; the cadence logic requires rebuild in a dedicated sales engagement tool if the customer continues multi-step outreach. The campaign inventory document is included in the migration handoff package.
Phenom
User / SCIM User
BambooHR
Employee (User-equivalent)
1:1Phenom User and group management via SCIM exports users, their group assignments, and role associations. BambooHR does not have a separate user management model; employees in BambooHR are the users. We export Phenom users with their role assignments and map to BambooHR employees with the corresponding HR permissions (Admin, Manager, Employee). SCIM provisioning is not applicable in BambooHR since user access is tied directly to the employee record.
| Phenom | BambooHR | Compatibility | |
|---|---|---|---|
| Candidate | Job Application (BambooHR ATS module)1:1 | Fully supported | |
| Job | Job Posting1:1 | Fully supported | |
| Application | Job Application (linked to Employee post-hire)1:1 | Fully supported | |
| Employee Profile | Employee1:1 | Fully supported | |
| Tag | Custom Employee Field (Multi-Select) or Notelossy | Fully supported | |
| Additional Fields (Custom Candidate Attributes) | Custom Employee Fields / Custom Candidate Fieldslossy | Fully supported | |
| FitScore (AI Matching) | N/A (flagged for rebuild)1:1 | Fully supported | |
| Project (Workflow Topology) | N/A (written inventory for rebuild)1:1 | Fully supported | |
| Campaign (Email/SMS Sequences) | N/A (written inventory for rebuild)1:1 | Fully supported | |
| User / SCIM User | Employee (User-equivalent)1:1 | 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.
Phenom gotchas
Per-user pricing creates billing risk during inbound migration
FitScore AI matching does not transfer 1:1
Workflow Projects and Statuses require structural rebuilding
Analytics and reporting data requires re-aggregation post-migration
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 scoping
We audit the Phenom tenant across active Jobs, Application records, Employee Profiles, Additional Fields, Tags, Projects, and Campaigns. We assess FitScore usage, workflow topology complexity, campaign cadence count, and total record volume. We pair this with a BambooHR edition decision: Core covers basic employee records, time off, and HR reporting; Pro adds performance management and expanded onboarding; Elite adds payroll and advanced analytics. The discovery output is a written migration scope covering record counts, custom field inventory, and a list of objects requiring rebuild rather than migrate.
Schema design and field type validation
We design the BambooHR destination schema by mapping Phenom's object model to BambooHR's Employee, Job Posting, and Job Application structures. We pre-create all custom Employee Fields and Candidate Custom Fields in BambooHR, including picklist option sets for any custom fields that require them. We validate Phenom's Additional Field types against BambooHR's field type constraints and resolve any type mismatches (text versus picklist, date format, multi-select handling) before the first import. Schema is configured in a BambooHR sandbox or staging environment first for validation.
Sandbox migration and reconciliation
We run a full migration into BambooHR's environment using production-like data volume to validate field mapping, custom field constraints, and employee record linkage. The customer's HR lead spot-checks 25-50 random employee records and application records against the Phenom source, verifies that custom field values match, and signs off the mapping before production migration begins. Any field type errors, validation failures, or missing picklist options are corrected here. We also validate that BambooHR's import API handles the expected batch sizes without rate-limit errors.
FitScore and AI data flagging
We export the complete FitScore dataset including the underlying skills, experience, and qualification fields that contribute to each score. We write a FitScore migration manifest that lists every candidate with their score, contributing factors, and the date the score was generated. This manifest is delivered as a structured document alongside the migration so the customer's recruiting team can re-evaluate candidates on BambooHR or in a third-party matching tool. We do not attempt to recreate FitScore in BambooHR because no equivalent scoring engine exists.
Production migration in dependency order
We run production migration in record-dependency order: Employee records first (because BambooHR ties user access to the employee record), then Job Postings, then Job Applications linked to the correct Employee records. Custom fields and Tags follow after the base records are loaded. Each phase emits a row-count reconciliation report and a sample validation set that the customer's HR team reviews. We do not write to BambooHR's production API until the sandbox migration is signed off.
Cutover, validation, and automation handoff
We freeze Phenom writes during cutover, run a final delta migration of any records modified during the migration window, then enable BambooHR as the system of record. We deliver the Project topology document, Campaign inventory, and FitScore manifest as a structured handoff package. The migration team supports a one-week hypercare window to resolve any record-level reconciliation issues. We do not rebuild Phenom Projects as BambooHR workflow stages or Phenom Campaigns as sequences; that work is handled by the customer's HR admin using BambooHR's built-in tools or a separate automation engagement.
Platform deep dives
Phenom
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between Phenom and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Phenom and BambooHR.
Object compatibility
All 7 core objects map 1:1 between Phenom and BambooHR.
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
Phenom: Not publicly documented in the developer portal.
Data volume sensitivity
Phenom 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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Phenom to BambooHR migration scoping. Not seeing yours? Book a call.
Walk through your Phenom to BambooHR migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Phenom
Other ways to arrive at BambooHR
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.