HRMS migration
Field-level mapping, validation, and rollback between cvviz and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
cvviz
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between cvviz and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from CVViZ to BambooHR is a category shift, not a direct ATS-to-ATS swap. CVViZ is built around recruiting workflows — AI resume screening, 800M+ candidate sourcing, configurable pipeline stages, and a Talent Pool CRM — while BambooHR is an all-in-one HRIS where hiring is one module among onboarding, payroll, time tracking, and employee management. That architectural difference shapes every mapping decision: CVViZ Jobs map to BambooHR Job Postings, CVViZ Candidates map to BambooHR Candidates, and the CVViZ Talent Pool (passive candidates not tied to a requisition) requires either a BambooHR Candidate tag or a manual CRM rebuild depending on the customer's BambooHR edition. We carry Resume files as binary attachments, AI scoring as a custom numeric field, and pre-screening question responses as custom fields on the Candidate record. CVViZ automation rules do not migrate; we deliver a written inventory for the customer's 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 cvviz 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.
cvviz
Job
BambooHR
Job Posting
1:1CVViZ Jobs (requisitions with title, description, department, location, and job board distribution settings) map to BambooHR Job Postings. The job title and description migrate directly. CVViZ's department field maps to BambooHR's top-level department value. Job board distribution settings (LinkedIn, Google for Jobs, etc.) are documented as metadata but must be re-published in BambooHR because BambooHR handles its own job board posting distribution natively. Any Jobs beyond the customer's BambooHR plan active-job limit are imported as closed or archived postings.
cvviz
Candidate
BambooHR
Candidate
1:1CVViZ Candidate records (name, contact information, social profiles, employment history) map directly to BambooHR Candidate records via 1:1 field mapping on first name, last name, email, phone, and address fields. Social profile URLs (LinkedIn, GitHub) migrate as custom text fields on the BambooHR Candidate record since BambooHR does not have native social profile fields. Employment history from CVViZ does not map to BambooHR's employee employment history because BambooHR Candidates are pre-hire records.
cvviz
Talent Pool Entry
BambooHR
Candidate (with Passive tag)
1:1CVViZ's Talent Pool CRM holds passive candidates not tied to a specific job requisition. BambooHR does not have a native Talent Pool concept. We migrate Talent Pool entries as BambooHR Candidates with a lifecycle tag indicating Passive source. The original talent pool source attribution (where the candidate was first added, e.g., LinkedIn sourced, referral, Stack Overflow) migrates as a custom text field. If the customer requires an active talent pool CRM in BambooHR post-migration, a separate engagement rebuilds this as a BambooHR candidate tagging and list workflow.
cvviz
Application
BambooHR
Candidate Application Record
1:1CVViZ Application records link a Candidate to a Job with a current pipeline stage and stage-change timestamps. BambooHR's ATS stores application status as a hiring stage on the Candidate record. We map CVViZ pipeline stage names (e.g., Resume Screening, Technical Interview, Final Round) to BambooHR hiring statuses (Applied, Phone Screen, Interview, Offer, Hired, Rejected). Any CVViZ stages with no BambooHR equivalent are flagged during schema review for manual pre-configuration before the final import run.
cvviz
Resume File
BambooHR
Candidate Resume Attachment
lossyCVViZ stores resumes as binary PDF or DOCX files alongside parsed structured fields (extracted name, email, phone, skills, education, work history). We extract the raw binary file and attach it to the corresponding BambooHR Candidate record as a file attachment. Parsed structured fields migrate as individual custom fields on the BambooHR Candidate record so that the content is searchable without opening the attachment. If the destination BambooHR account does not have a resume parser, candidates land with the raw file unparsed and the structured fields carried as custom fields only.
cvviz
Candidate Score (AI Ranking)
BambooHR
Custom Numeric Field (cvviz_ai_score__c)
1:1CVViZ's proprietary AI ranking score is calculated from its own NLP model against the job description and historical hiring decisions. We carry the numeric score value as a custom field on the BambooHR Candidate record. The destination BambooHR ATS will not recalculate or update it. We recommend documenting the score as a migration snapshot and setting expectations that BambooHR's native ranking will re-normalize over time as users apply their own candidate rating system.
cvviz
Pre-Screening Question Responses
BambooHR
Custom Fields on Candidate
1:1CVViZ stores job-specific pre-screening questions and candidate responses as key-value pairs per Application. We map these to identically named custom fields on the BambooHR Candidate record. If the customer's BambooHR instance does not yet have these custom fields created, we create them during schema preparation. Any questions that used a response type (dropdown, multi-select, file upload) not supported by BambooHR's custom field types are flagged as requiring manual configuration or a workaround in BambooHR.
cvviz
Pipeline Stage History
BambooHR
Candidate Status History
lossyCVViZ tracks each Application's movement through pipeline stages with timestamps. BambooHR's ATS does not expose a full stage-history timeline natively. We create a custom multi-line text or note field on the BambooHR Candidate record to capture the stage progression with dates. Stage names are mapped during schema review (see Application mapping). The raw stage history is preserved as structured text for audit rather than as a native timeline.
cvviz
Automation Rules
BambooHR
Not migrated (inventory delivered)
1:1CVViZ automation rules (email triggers, stage-transition notifications, candidate communication sequences) are platform-specific and do not map cleanly to BambooHR's workflow model. BambooHR's built-in workflows handle employee information updates and time-off requests, not job-level candidate communication automation. We do not migrate automation rules as code. We deliver a written inventory of every active CVViZ rule with its trigger, conditions, actions, and a recommended BambooHR workflow equivalent (or a third-party ATS re-adoption plan if BambooHR's native ATS lacks the required automation depth). The customer or a BambooHR partner rebuilds them post-migration.
cvviz
User and Role
BambooHR
Employee (User)
1:1CVViZ users with recruiter and hiring manager roles map to BambooHR Employee records. We resolve users by email match. Any CVViZ user without a matching BambooHR Employee record goes to a reconciliation queue for the customer's admin to provision before record import. Role-based access control permissions from CVViZ are documented as a role mapping matrix for the admin to reconfigure in BambooHR's permission set model post-migration.
| cvviz | BambooHR | Compatibility | |
|---|---|---|---|
| Job | Job Posting1:1 | Fully supported | |
| Candidate | Candidate1:1 | Fully supported | |
| Talent Pool Entry | Candidate (with Passive tag)1:1 | Fully supported | |
| Application | Candidate Application Record1:1 | Fully supported | |
| Resume File | Candidate Resume Attachmentlossy | Fully supported | |
| Candidate Score (AI Ranking) | Custom Numeric Field (cvviz_ai_score__c)1:1 | Fully supported | |
| Pre-Screening Question Responses | Custom Fields on Candidate1:1 | Fully supported | |
| Pipeline Stage History | Candidate Status Historylossy | Fully supported | |
| Automation Rules | Not migrated (inventory delivered)1:1 | Mapping required | |
| User and Role | Employee (User)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.
cvviz gotchas
Resume files require binary export handling
Active job limits reset at migration time
Pipeline stage names are organization-specific
AI candidate scores are proprietary and non-transferable
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 schema review
We audit the source CVViZ account across all objects: Jobs (active and archived), Candidates, Applications with stage history, Talent Pool entries, Resume files, AI scoring data, pre-screening questions, custom fields, user accounts, and role permissions. We pair this with a BambooHR plan review to confirm which ATS features are available (Core vs Advantage package) and identify any missing custom field types. The discovery output is a written migration scope document that lists every object, the record count per object, and the mapping decision for each field.
Talent Pool architecture decision
We present the Talent Pool mapping options to the customer: passive candidates as tagged BambooHR Candidates (quickest path), passive candidates in a separate BambooHR list with manual management, or a parallel talent CRM (Greenhouse, BreezyHR, Lever via BambooHR Marketplace) alongside BambooHR HRIS. The customer selects the approach before we proceed. We also confirm the pipeline stage mapping table: CVViZ stage names to BambooHR hiring statuses, with any unmapped stages listed for manual pre-configuration.
Schema setup and custom field creation in BambooHR
We create all required custom fields in BambooHR before any data import: pre-screening question response fields, AI score field, talent pool source attribution field, and stage history note field. We configure these via the BambooHR API as part of pre-migration setup. Any BambooHR custom field types that cannot accommodate the source data type are flagged to the customer with a workaround recommendation.
Resume file extraction and batching
We extract resume binary files from CVViZ in batches of 500, preserving the candidate ID and application ID linkage. We run a parallel extraction of parsed structured fields for each candidate. After extraction, we produce a reconciliation report showing: total candidates, total with resumes, total with AI scores, total with pre-screening responses, and total in the Talent Pool. The customer reviews and approves before the import phase begins.
Production import in dependency order
We run production migration in record-dependency order: Job Postings first (the recruiting requisitions that Candidates and Applications reference), then Candidates (with Talent Pool passive tag applied), then Applications linked to Candidates and Jobs (with stage name mapped to BambooHR status), then Resume files attached to the corresponding Candidate records, then custom field data (AI scores, pre-screening responses) mapped to the named custom fields. Each phase emits a row-count reconciliation report before the next phase begins. We use BambooHR's API with rate-limit handling and exponential backoff for all imports.
Cutover, validation, and automation inventory delivery
We freeze CVViZ writes during cutover, run a final delta migration of any records modified during the migration window, then enable BambooHR as the system of record for hiring. We deliver the written automation inventory document listing every CVViZ automation rule with its trigger, conditions, actions, and a recommended BambooHR workflow equivalent. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's recruiting team. We do not rebuild CVViZ automations as BambooHR workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
cvviz
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between cvviz and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across cvviz and BambooHR.
Object compatibility
All 7 core objects map 1:1 between cvviz 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
cvviz: Not publicly documented.
Data volume sensitivity
cvviz 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.
Category
FAQ
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