HRMS migration

Migrate from cvviz to BambooHR

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

cvviz logo

cvviz

Source

BambooHR

Destination

BambooHR logo

Compatibility

80%

8 of 10

objects map 1:1 between cvviz and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

cvviz logo

cvviz

What's pushing teams away

  • Reported bugs and missing items in the product make users feel the platform lacks maturity, with one AppSumo reviewer citing inability to add internal notes as a blocking issue.
  • No white-label or custom domain option frustrates agencies that want to embed the platform under their own brand for client-facing use.
  • Lack of robust follow-up automation means recruiters must manually manage candidate communications at each pipeline stage.
  • LinkedIn and CRM integrations are reported as inconsistent, causing data sync failures that require repeated manual corrections.

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 cvviz objects map to BambooHR

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

maps to

BambooHR

Job Posting

1:1
Fully supported

CVViZ 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

maps to

BambooHR

Candidate

1:1
Fully supported

CVViZ 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

maps to

BambooHR

Candidate (with Passive tag)

1:1
Fully supported

CVViZ'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

maps to

BambooHR

Candidate Application Record

1:1
Fully supported

CVViZ 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

maps to

BambooHR

Candidate Resume Attachment

lossy
Fully supported

CVViZ 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)

maps to

BambooHR

Custom Numeric Field (cvviz_ai_score__c)

1:1
Fully supported

CVViZ'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

maps to

BambooHR

Custom Fields on Candidate

1:1
Fully supported

CVViZ 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

maps to

BambooHR

Candidate Status History

lossy
Fully supported

CVViZ 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

maps to

BambooHR

Not migrated (inventory delivered)

1:1
Mapping required

CVViZ 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

maps to

BambooHR

Employee (User)

1:1
Fully supported

CVViZ 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.

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.

cvviz logo

cvviz gotchas

Medium

Resume files require binary export handling

Low

Active job limits reset at migration time

Medium

Pipeline stage names are organization-specific

Low

AI candidate scores are proprietary and non-transferable

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

  • CVViZ Talent Pool has no native BambooHR equivalent

    CVViZ maintains a Talent Pool CRM of passive candidates not tied to a specific job requisition, with source attribution (referral, LinkedIn, GitHub, Stack Overflow). BambooHR's ATS does not have a passive talent pool concept; all candidates are tied to job postings. We migrate Talent Pool entries as BambooHR Candidates with a passive-source tag, but the customer loses the native talent pool UI, automated nurturing sequences, and CRM-style tagging. If the recruiting team relies heavily on the Talent Pool for pipeline building, a separate engagement is required to rebuild this as a BambooHR candidate tagging and list-segmentation workflow or to re-adopt a dedicated talent CRM alongside BambooHR.

  • Resume files require binary attachment handling

    CVViZ stores resumes as parsed structured data alongside raw PDF/DOCX files. During migration, resume files must be treated as binary attachments rather than simple field values. We chunk large resume libraries into batches, extract the raw file alongside parsed fields, and preserve the Candidate-to-Resume linkage via the application ID. BambooHR accepts resume attachments on Candidate records, but if the customer's BambooHR plan does not include resume parsing, candidates land with the raw file unparsed and the structured fields carried as custom fields only. We flag this gap during scoping if the destination lacks a resume parser.

  • Pipeline stage names are organization-specific with no universal schema

    Every CVViZ organization configures its own pipeline stage names and order. BambooHR uses fixed hiring statuses (Applied, Phone Screen, Interview, Offer, Hired, Rejected). We capture the complete CVViZ stage map during the pre-migration schema review, then apply a named mapping to the BambooHR statuses. Any CVViZ stages with no BambooHR equivalent (e.g., Technical Assessment, Culture Fit, Background Check if these are stages rather than offer conditions) are flagged for manual configuration before the final import run. Migrations that skip this schema review result in stages being collapsed or lost.

  • AI candidate scores are proprietary and cannot be recalculated in BambooHR

    CVViZ's AI ranking scores are calculated from its own NLP model against the job description and historical hiring data. We carry the score value as a custom numeric field on the BambooHR Candidate record, but BambooHR will not recalculate or update it. We recommend documenting the scores as a migration snapshot in a separate report and setting expectations with the recruiting team that ranking will re-normalize over time in the new platform using BambooHR's native candidate rating system.

  • Custom field types in BambooHR may not match CVViZ data types

    CVViZ supports custom fields on Jobs and Candidates with various data types. BambooHR's custom field types include text, number, date, dropdown, checkbox, and file attachment. Complex CVViZ field types (e.g., matrix fields, rating scales, multi-file uploads) may not have a direct BambooHR equivalent. We map each CVViZ custom field individually during schema review, create the equivalent custom field in BambooHR during pre-migration setup, and flag any fields that require manual data entry post-migration because the field type cannot be migrated automatically.

Migration approach

Six steps for a successful cvviz to BambooHR data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

cvviz logo

cvviz

Source

Strengths

  • AI-driven resume screening using NLP and machine learning that adapts from historical hiring decisions over time.
  • 800M+ candidate profile database covering LinkedIn, GitHub, and Stack Overflow for active and passive sourcing.
  • Recruitment CRM built in, enabling talent pool management and candidate nurturing separate from active job requisitions.
  • Job posting distribution to LinkedIn, Google for Jobs, and other major job boards handled natively.
  • Pricing includes unlimited users across all tiers, avoiding per-seat cost surprises as hiring teams scale.

Weaknesses

  • Platform maturity concerns — reviews report bugs and missing features including inability to add internal notes to candidates.
  • No white-label or custom domain option, limiting use for staffing agencies wanting a branded client experience.
  • Integration stability issues with LinkedIn and CRM systems create sync failures requiring manual correction.
  • Pre-built follow-up automation is limited, requiring recruiters to manage candidate communications manually at each stage.
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. All 7 core objects map 1:1 between cvviz and BambooHR.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 7 core objects map 1:1 between cvviz and BambooHR.

  • 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

    cvviz: Not publicly documented.

  • Data volume sensitivity

    B

    cvviz doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your cvviz 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 cvviz to BambooHR data migrations

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

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Most migrations land between three and five weeks for accounts under 5,000 Candidates and 200 Jobs with no complex custom field sets. Migrations with large Talent Pool libraries (over 10,000 passive candidate records), extensive pre-screening question sets, AI score preservation requirements, or Talent Pool CRM rebuilding move to eight to twelve weeks because of binary resume handling, multi-field custom mapping, and the talent pool re-architecture work.

Adjacent paths

Related migrations to explore

Ready when you are

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