HRMS migration

Migrate from SupportFinity to BambooHR

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

SupportFinity logo

SupportFinity

Source

BambooHR

Destination

BambooHR logo

Compatibility

83%

10 of 12

objects map 1:1 between SupportFinity and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from SupportFinity to BambooHR is a cross-category migration: SupportFinity is a recruitment and applicant tracking platform; BambooHR is a full HRIS that manages employees from offer through exit. The migration is not a 1:1 record copy — it requires a schema redesign. Candidate records in SupportFinity become either Applicants in BambooHR's ATS module or Employee records depending on hiring status at migration time. Pipeline stages, assessment scores, interview notes, and offer data must be decomposed and remapped to BambooHR's object model. We flag upfront that SupportFinity has no publicly documented API, making data extraction a scoping-dependent process that may require admin-data downloads or SupportFinity team coordination. We do not migrate SupportFinity workflows, AI agent configurations, or the Revo/Atom/Genie/Sia automation stack as code; we deliver a written inventory for the customer's admin to rebuild in BambooHR or adjacent tools.

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

SupportFinity logo

SupportFinity

What's pushing teams away

  • The credits system ($0.195/credit) becomes unpredictable at scale—high-volume hiring shops report bill shock when AI features consume credits faster than expected.
  • Smaller or non-technical hiring teams find the AI-first interface overwhelming compared to simpler ATS tools that offer basic applicant tracking without agent automation.
  • Lack of transparent public API documentation makes integration with existing HRIS or payroll systems a custom development effort rather than an out-of-box feature.
  • The platform markets primarily to enterprises and agencies; solo or very small team recruiters feel underserved by the feature set relative to simpler alternatives.

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 SupportFinity objects map to BambooHR

Each row shows how a SupportFinity 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.

SupportFinity

Jobs (Positions)

maps to

BambooHR

Job Opening (BambooHR ATS)

1:1
Fully supported

SupportFinity Job records map to BambooHR Job Opening objects. We map job title, description, department, location, and status fields directly. Note that BambooHR caps active job openings by plan tier: 5 on Core, 25 on Pro, 50 on Elite. If the SupportFinity instance has more open jobs than the destination plan allows, we scope the overflow to a written inventory for admin to either close archived jobs or upgrade the BambooHR plan before migration proceeds.

SupportFinity

Candidates

maps to

BambooHR

Applicant (ATS module) or Employee (HRIS module)

1:many
Fully supported

SupportFinity Candidates are the core record and may span the entire hiring lifecycle. We split at migration time based on the Candidate's most recent pipeline status: Candidates in an active or rejected pipeline stage become BambooHR Applicants; Candidates with an accepted offer and a hired status become BambooHR Employee records. We preserve all SupportFinity profile fields (name, email, phone, resume, work history, education, custom profile fields) as mapped Applicant or Employee fields, with the original SupportFinity Candidate ID stored in a custom field sf_candidate_id__c for cross-system audit.

SupportFinity

Applications

maps to

BambooHR

Application (linked to Job Opening and Applicant)

1:1
Fully supported

SupportFinity Application records link a Candidate to a Job with timestamps, source channel, and current stage. We map these to BambooHR Applications as the join record between Applicant and Job Opening. Application history including withdrawn, rejected, and hired states migrates as the application status field. The original application submission date migrates as Created Date; the last status change date migrates as Modified Date.

SupportFinity

Pipeline Stages

maps to

BambooHR

Hiring Pipeline Stage

lossy
Mapping required

SupportFinity uses configurable pipeline stages (Screening, Interview, Offer, Hired, and any custom stages). Stage names and count are tenant-specific. We map SupportFinity stage IDs and labels to BambooHR's hiring pipeline stages, preserving probability percentages where defined. Skip logic and conditional stage routing in SupportFinity requires manual review post-migration since BambooHR's pipeline model is linear rather than branching.

SupportFinity

Assessments (DISC+ and AI-generated)

maps to

BambooHR

Custom Fields on Applicant/Employee

1:1
Fully supported

SupportFinity DISC+ scores and Atom-agent-generated custom assessments have no native equivalent in BambooHR. We export assessment results as structured scores and map them to custom Applicant or Employee fields (e.g., disc_d_score__c, disc_i_score__c, atom_domain_score__c). Custom rubric definitions and AI-generated assessment logic require rebuild in BambooHR or an external assessment vendor; we document the full assessment inventory as part of the migration scope for the customer's admin to address.

SupportFinity

Interviews

maps to

BambooHR

Interview records (custom fields on Application)

1:1
Mapping required

SupportFinity Interview records include scheduled time, interviewer assignment, and interviewer notes. Sia interview recordings are binary video/audio files that do not export via JSON API and require a separate file-transfer pass (see Gotchas). We migrate interview date, interviewer name, duration, and notes as structured fields on the corresponding BambooHR Application record. Scheduling data maps to a custom date field on the Application.

SupportFinity

Users (Team Members)

maps to

BambooHR

BambooHR Users

1:1
Fully supported

SupportFinity User accounts (Recruiter, Hiring Manager, Admin roles) map to BambooHR User records. We resolve users by email match and map the role designation. Note that SupportFinity Growth plan caps at 3 seats while BambooHR's per-employee pricing scales with headcount; we flag any user above the 3-seat cap during scoping so the customer can provision the appropriate BambooHR plan before migration.

SupportFinity

Offers

maps to

BambooHR

Offer data (onboarding packet or custom fields on Employee)

1:1
Fully supported

SupportFinity Offer records include salary, start date, offer status, and any conditional terms. We map offer details to BambooHR Employee records as compensation fields (pay rate, pay frequency, start date, employment status). If the customer uses BambooHR Onboarding, the offer data feeds the New Hire Packet. Conditional offer terms and custom offer letter content are preserved as document attachments in BambooHR's file storage for the Employee record.

SupportFinity

Notes and Comments

maps to

BambooHR

Employee or Applicant Notes

1:1
Fully supported

Free-text notes attached to Candidates or Applications in SupportFinity migrate as Notes on the corresponding BambooHR Applicant or Employee record. We preserve timestamps and author attribution (resolved via User email mapping). If the author is a SupportFinity user who will not be provisioned in BambooHR, the note is attributed to a system-admin placeholder for the customer to reassign manually.

SupportFinity

Screening Questions

maps to

BambooHR

Custom Fields on Application

1:1
Mapping required

Job-specific screening questions and candidate answers in SupportFinity are custom fields at the Application level. We map question text and answer values to custom fields on the BambooHR Application record (e.g., screening_answer_1__c, screening_answer_2__c). Skip logic and conditional branching on screening questions requires manual review post-migration since BambooHR does not have native conditional question routing in its ATS module.

SupportFinity

Communications (Email/SMS threads)

maps to

BambooHR

Applicant Comments or Email Activity

1:1
Fully supported

SupportFinity unlimited mailboxes and candidate communication threads map to BambooHR Applicant activity. Email thread structure migrates as sequential comment entries on the Applicant record with timestamps preserved. SMS message history migrates as a custom field block if the BambooHR ATS supports it at the destination plan tier. The thread metadata (send date, recipient, direction) is preserved as structured comment fields.

SupportFinity

Talent Signals

maps to

BambooHR

Custom Numeric Fields on Applicant

1:1
Mapping required

AI-generated talent signals and ranking scores from SupportFinity (Revo, Genie ranking outputs) are proprietary metadata that have no native equivalent in BambooHR. We export raw scores and signal labels as custom numeric and text fields on the Applicant record (e.g., ai_talent_rank__c, ai_signal_label__c). These are informational in BambooHR and do not drive any native workflow; we flag them as requiring admin review post-migration to determine whether they remain useful or should be deprecated.

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.

SupportFinity logo

SupportFinity gotchas

High

Credits consumption rate is non-linear for AI features

Medium

Interview recordings stored as binary attachments require separate export handling

Low

Growth plan 3-seat limit applies to team members, not candidates

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

  • SupportFinity has no publicly documented API

    SupportFinity does not expose a public REST or GraphQL API for programmatic data extraction. This makes the migration extraction phase scoping-dependent. Depending on the customer's plan tier and SupportFinity's internal export infrastructure, data may be accessible via admin-panel bulk downloads, a SupportFinity-provided data export (Growth plan or Enterprise free migration offer), or manual record-by-record export. We scope the extraction method during discovery, assess its completeness against the target object list, and adjust the migration timeline accordingly. If only partial exports are available, we flag gaps and recommend data completeness strategy before destination load begins.

  • BambooHR job opening caps may block large active job pools

    BambooHR caps the number of active job openings by plan tier: 5 on Core, 25 on Pro, 50 on Elite. SupportFinity Growth and Enterprise plans offer unlimited job postings. If the customer has more open positions than the destination BambooHR plan allows, we cannot import all active jobs as open postings. We scope the active job count during discovery and either archive completed jobs in SupportFinity before migration (clearing the cap), recommend a plan upgrade, or map excess jobs to a written inventory for manual post-migration entry. This is a scoping blocker that must be resolved before the destination schema is designed.

  • Interview recordings require separate media file handling

    SupportFinity's Sia interview recorder produces video and audio files attached to interview records. These do not export via standard JSON API or CSV responses. We schedule a separate file-transfer pass after the primary structured-data migration, preserving filenames and interview linkage metadata so that each media file is associated with the correct BambooHR Application record. Note that BambooHR does not have native interview recording or video hosting; the media files will need to be stored in BambooHR's document attachments or an external storage solution, with a link placed on the relevant Application record.

  • SupportFinity AI assessment logic has no native equivalent in BambooHR

    DISC+ scores and AI-generated Atom assessment rubrics are SupportFinity-specific features. BambooHR has no native assessment builder or AI scoring engine. We export assessment scores as custom Applicant fields, but the rubric definitions, scoring algorithms, and AI-generated evaluation criteria that drove those scores do not map to any BambooHR object. We deliver a written assessment inventory documenting every SupportFinity assessment used, its scoring dimensions, and the customer's options for rebuilding in BambooHR (manual scoring, external vendor such as HireVue or Pymetrics, or custom BambooHR form-based evaluation). This is a manual rebuild scope that falls outside standard data migration.

  • SupportFinity workflows and automation stack does not migrate

    SupportFinity's automation layer (Genie content generation, Revo candidate sourcing, Atom assessment triggers, Sia scheduling) and any custom workflow configurations built within the platform do not have equivalents in BambooHR's feature set. BambooHR does not offer a native workflow automation builder for recruiting-stage events. We deliver a written automation inventory document listing every SupportFinity automation with its trigger conditions and actions, and note the rebuild path: BambooHR's approval workflows and notification rules handle basic automation needs; advanced recruiting automation requires a third-party tool such as Workato, Zapier, or a custom integration. We do not rebuild automations as part of the standard migration scope.

Migration approach

Six steps for a successful SupportFinity to BambooHR data migration

  1. Discovery and extraction method assessment

    We audit the SupportFinity instance for record volume across Jobs, Candidates, Applications, Assessments, Interviews, Offers, and Team Members. Because SupportFinity lacks a public API, we assess the available extraction method during scoping: admin-panel bulk export, SupportFinity-facilitated data dump (Growth or Enterprise), or manual record export. We also verify the active job count against the target BambooHR plan tier's job opening cap. The discovery output is a written migration scope document identifying the extraction method, any data completeness gaps, and the destination BambooHR plan recommendation.

  2. Candidate status split and schema design

    We design the destination schema in BambooHR before any data moves. This includes provisioning custom Applicant and Employee fields to capture SupportFinity profile data, assessment scores, screening answers, and interview notes. We define the Candidate split rule: Candidates in open or rejected pipeline stages become BambooHR Applicants; Candidates with accepted offers become BambooHR Employees. We also map SupportFinity pipeline stages to BambooHR hiring pipeline stages, preserving stage labels and probability percentages. The schema is validated in a BambooHR sandbox or staging environment before production migration begins.

  3. Extraction and data extraction validation

    We execute the extraction using the identified method from Step 1. For admin-panel exports, we work with the customer's SupportFinity admin to ensure all fields are included in the export (standard exports may omit custom properties). We validate the extracted CSV or JSON against the SupportFinity record counts reported during discovery, flag any missing fields or truncated records, and request a re-export if gaps exceed a defined threshold (typically 2% of any object type). We do not proceed to transformation until data completeness is confirmed.

  4. Data transformation and candidate split

    We run the transformation phase applying the Candidate split rule defined in Step 2. Each SupportFinity Candidate is evaluated against its most recent application status and assigned to either a BambooHR Applicant record or an Employee record. Assessment scores, screening answers, interview notes, and communication threads are decomposed and mapped to the corresponding custom fields on the target record. SupportFinity User IDs are resolved to BambooHR User emails for attribution on notes and interview records. Any SupportFinity-specific fields that have no BambooHR equivalent are mapped to custom fields with a sf_ prefix for cross-system audit.

  5. Production import and media file pass

    We run the production import into BambooHR in record-dependency order: Users (validated against BambooHR User provisioning), Jobs (against job opening cap), Applicants and Employees (with the status split applied), Applications (linked to Applicant and Job), Interview notes (linked to Application), Offer data (on Employee records), Notes and Comments (attributed to the correct record owner), and Screening answers (on Application). After the structured data migration completes, we execute the separate media file transfer for Sia interview recordings, mapping each file to the corresponding BambooHR Application record as a document attachment. Each import phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze writes to SupportFinity during the cutover window, run a final delta migration of any records modified during the migration window, then hand off to the customer to designate BambooHR as the system of record for recruiting and HR. We deliver the assessment inventory document, the automation inventory document, and the job opening cap resolution summary. We support a one-week hypercare window where we resolve reconciliation issues identified by the customer's HR team. We do not rebuild SupportFinity automations or AI assessment logic as part of the standard migration scope; these are documented for the customer's admin to rebuild using BambooHR's native tools or a third-party automation platform.

Platform deep dives

Context on both ends of the pair

SupportFinity logo

SupportFinity

Source

Strengths

  • Flat-rate pricing on Growth ($259/month) with unlimited jobs and applicants eliminates per-hire cost surprises.
  • AI agent stack (Genie, Revo, Atom, Sia) automates content, sourcing, assessment, and interview recording in one platform.
  • Access to 2.4 billion profile database for passive candidate sourcing without separate subscription.
  • DISC+ and custom AI assessments allow domain-specific evaluation without hiring external testing vendors.
  • Free data migration is advertised on Enterprise tier, indicating the platform has at least some data export infrastructure.

Weaknesses

  • Credits-based pricing for AI features creates unpredictable cost for high-volume hiring teams.
  • No publicly documented API makes programmatic migration a custom integration effort rather than an out-of-box export.
  • Limited G2 review volume (20 reviews) makes independent quality verification difficult.
  • Competition with Workday, SAP, and Oracle positions SupportFinity as enterprise-grade but with a smaller customer base for reference.
  • The AI-first UX may create friction for teams wanting simple, manual-only applicant tracking workflows.
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 SupportFinity and BambooHR.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 7 core objects map 1:1 between SupportFinity 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

    SupportFinity: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your SupportFinity 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 SupportFinity to BambooHR data migrations

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

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Most migrations land between three and five weeks for accounts with fewer than 500 Candidates and 50 active Jobs using a straightforward admin-panel export. Migrations with high-volume candidate pools (over 5,000 records), extensive assessment history, active interview recording archives, or multiple pipeline stages requiring schema remapping extend to eight to fourteen weeks because of extraction method complexity, transformation work, and the separate media file transfer pass. The primary timeline variable is the SupportFinity extraction method: a coordinated data dump from SupportFinity's team is faster than manual record export.

Adjacent paths

Related migrations to explore

Ready when you are

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