HRMS migration

Migrate from Simplicant to BambooHR

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

Simplicant logo

Simplicant

Source

BambooHR

Destination

BambooHR logo

Compatibility

75%

9 of 12

objects map 1:1 between Simplicant and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Simplicant to BambooHR is a platform consolidation as much as a data migration. Simplicant is an ATS designed for the recruitment lifecycle; BambooHR is an all-in-one HRIS that combines applicant tracking, onboarding, time-off management, and core employee records in a single system. We extract Simplicant data through their Careers Site API (where available and plan-enabled) or through CSV-style UI exports coordinated with Simplicant support, then map Jobs to BambooHR Jobs, Candidates to BambooHR Applicants, and Offers to BambooHR Offers in their correct dependency order. The key difference from typical CRM migrations is Simplicant's gated API policy: there is no self-serve public endpoint for bulk data export. We request API credentials during scoping and fall back to manual export support tickets where necessary, which can extend discovery timelines by one to three weeks. We do not migrate recruitment automation workflows or screening rule definitions as code; we deliver a written inventory of active pipeline stages and workflow logic for BambooHR admin rebuild.

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

Simplicant logo

Simplicant

What's pushing teams away

  • Limited public API documentation makes data portability uncertain — teams moving to platforms with open APIs face export friction and manual re-entry.
  • Small customer base (84 reported accounts) suggests a niche product that may not suit organizations expecting long-term vendor stability.
  • Pricing is opaque and size-tiered — organizations scaling hiring volume quickly may hit plan limits without clear cost trajectory.
  • Competitors like Greenhouse, Workable, and Lever have deeper integration ecosystems, pushing teams to platforms with more native connectors.
  • Career site customization features are tied to plan upgrades, creating unexpected costs when teams need stronger employer branding controls.

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 Simplicant objects map to BambooHR

Each row shows how a Simplicant 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.

Simplicant

Jobs / Job Requisitions

maps to

BambooHR

Jobs (BambooHR ATS)

1:1
Fully supported

Simplicant Jobs map to BambooHR Jobs. We export job title, description, department, location, and current pipeline stage. The BambooHR Job must be created before any Applicants are imported so that the jobId reference is satisfied on the applicant record. Job status (open, paused, closed) migrates as-is. Simplicant's jobRequisitionId becomes a custom field in BambooHR for reconciliation.

Simplicant

Candidates / Applicants

maps to

BambooHR

Applicants (BambooHR ATS)

1:1
Fully supported

Simplicant Candidate records map directly to BambooHR Applicants. We preserve first name, last name, email, phone, application date, source attribution, stage history, and any attached evaluation scores. The Applicant is linked to the corresponding BambooHR Job record via jobId lookup. Application history and stage progression are stored as custom fields or in a notes section where BambooHR's applicant schema does not natively capture pipeline traversal.

Simplicant

Departments

maps to

BambooHR

Departments

1:1
Fully supported

Simplicant Departments migrate as BambooHR Departments. Department is a foundational lookup field on both Jobs and Employees, so we import departments before Jobs and before any Employee records. Department name and any department head assignment map directly.

Simplicant

Locations

maps to

BambooHR

Locations

1:1
Fully supported

Simplicant Locations migrate as BambooHR Locations. Like Departments, Location is a lookup field used across Jobs and Employees. We import Locations before Jobs and Employees so that the geographic metadata is available as a reference value during record creation.

Simplicant

Interview Packets / Feedback Forms

maps to

BambooHR

Application Fields (custom) or Notes

1:1
Mapping required

Simplicant Interview Packets bundle structured evaluation forms with scoring. BambooHR's applicant model does not have a native structured evaluation form equivalent. We map completed interview packet responses to BambooHR Applicant custom fields where the customer's BambooHR plan supports them, or to a structured note attached to the applicant record. We flag any form schema that cannot be represented in BambooHR's flat field model during scoping.

Simplicant

Offers

maps to

BambooHR

Offers (BambooHR)

1:1
Mapping required

Simplicant Offer records (salary, start date, terms, e-signature status) map to BambooHR Offers where the customer's BambooHR plan includes the Offers feature. Offer status (pending, accepted, declined, retracted) migrates. E-signature audit trails are linked records that may require additional handling depending on document storage availability in Simplicant and plan tier.

Simplicant

Hiring Pipelines

maps to

BambooHR

Job Stages (configuration)

lossy
Mapping required

Simplicant Hiring Pipelines define stage sequences per job type. BambooHR Jobs have configurable stages. We map Simplicant pipeline stage names and order to BambooHR Job stage names, flagging any stages with custom automation rules (auto-reject, auto-advance) that have no BambooHR equivalent. The customer rebuilds pipeline automation logic in BambooHR's workflow tools post-migration.

Simplicant

Assessment / Evaluation Scores

maps to

BambooHR

Applicant Custom Fields or Rating Fields

1:1
Mapping required

Simplicant stores structured screening scores and evaluation ratings per candidate per stage. We export the raw score data and map it to BambooHR applicant custom fields or to the closest native rating field. Score ranges and weighting logic (which vary by organization and form) are preserved as metadata in a custom field for reference during BambooHR admin review.

Simplicant

Users / Team Members

maps to

BambooHR

Employees

1:1
Mapping required

Simplicant User accounts (recruiters, hiring managers, interviewers) with role-based permissions are mapped to BambooHR Employee records. We use email as the match key. Where a Simplicant User has no corresponding BambooHR Employee (e.g., an external interviewer who is not an employee), we flag the record for the customer's admin to decide whether to create a minimal Employee record or handle assignment within BambooHR's sharing model.

Simplicant

Onboarding Records

maps to

BambooHR

Onboarding Tasks (BambooHR)

lossy
Mapping required

Simplicant Onboarding Records with completed task sequences and assignee rules migrate as BambooHR Onboarding checklists. BambooHR's onboarding is task-based rather than workflow-driven, so complex branching automation with conditional rules does not transfer. We preserve task completion status and assignee data; the customer rebuilds any conditional onboarding logic in BambooHR's task configuration post-migration.

Simplicant

Documents (Attachments)

maps to

BambooHR

File Attachments (BambooHR Applicant)

1:1
Mapping required

Simplicant resumes, cover letters, and HR files are extracted from document storage where plan tier enables export. We map these as file attachments on the corresponding BambooHR Applicant record. Availability depends on whether the Careers Site API or bulk export is enabled on the Simplicant plan; manual export fallback may be required, which extends the data extraction timeline.

Simplicant

Custom Fields

maps to

BambooHR

Custom Fields (BambooHR)

lossy
Mapping required

Simplicant custom fields on Jobs and Candidate profiles migrate to BambooHR custom fields. Custom field definitions and data types are inferred from the Simplicant export results. In BambooHR, custom field IDs must be fetched per-account via GET /v1/meta/fields — they cannot be hardcoded across customers. We retrieve the meta field list during scoping, create matching custom fields in the BambooHR account, and use the per-account field IDs during data import.

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.

Simplicant logo

Simplicant gotchas

High

Gated Careers Site API requires plan upgrade and sales contact

High

No public bulk data export documentation

Medium

Size-tiered pricing creates billing model ambiguity

Medium

Onboarding workflow portability is limited without plan access

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

  • Simplicant's gated API requires sales engagement before any API-based extraction

    Simplicant does not publish a self-serve public API. Their only documented endpoint is the Careers Site API, which surfaces published jobs, locations, and departments in JSON — and access requires contacting Simplicant sales to have it added to the plan. There is no bulk data export endpoint documented publicly. We request API credentials during scoping and, where API access is unavailable or delayed, fall back to CSV-style exports from the Simplicant UI or coordinated manual exports via Simplicant support tickets. Data extraction timelines depend on Simplicant's internal cooperation. We flag this upfront and set expectations that a one-to-three-week discovery extension may be necessary before migration design begins.

  • BambooHR does not paginate the employee directory endpoint

    BambooHR's employee directory endpoint (GET /v1/employees/directory) returns all active employees in a single response without pagination. For large organizations (1,000+ employees), the response payload can be substantial and may trigger rate limit or timeout conditions under the approximately 100 requests-per-minute limit. We handle this by fetching all employees in a single targeted request during the import phase and implementing exponential backoff on 503 responses. The employee directory endpoint returns basic fields; richer data including custom fields requires a separate Custom Report request (POST /v1/reports/custom) per employee batch.

  • BambooHR API requires field-request model — all field IDs must be fetched per account

    BambooHR uses a field-request model where you must specify which fields to return rather than receiving all fields by default. Custom field IDs in particular are unique numeric values assigned per BambooHR account and cannot be hardcoded across customers. We fetch the complete field list via GET /v1/meta/fields at the start of every migration, map Simplicant custom fields to their BambooHR equivalents using the returned field IDs, and store the field ID map in the migration config. Skipping this step results in silent field mapping failures on custom fields during import.

  • Onboarding workflow automation does not transfer between platforms

    Simplicant stores onboarding as configurable workflow sequences with branching rules, task assignment logic, and conditional completion triggers. BambooHR's onboarding module uses task-based checklists without branching automation. We can export completed onboarding records and current offer state from Simplicant, but active workflow definitions with conditional rules do not have a migration path to BambooHR. We flag any workflow-dependent onboarding processes as candidates for manual reconfiguration in BambooHR and include them in the written workflow inventory handoff document.

Migration approach

Six steps for a successful Simplicant to BambooHR data migration

  1. Discovery and Simplicant data access request

    We audit the Simplicant account for record counts (Jobs, Candidates, Offers, Departments, Locations, Users, Onboarding Records), active pipeline stages, custom field definitions, and attachment storage availability. At this stage we also contact Simplicant to request Careers Site API credentials or coordinate manual data export if API access is not available on the current plan. We pair this with a BambooHR admin audit to identify existing organizational structure (Departments, Locations, existing Employees) that will serve as the target schema foundation. The discovery output is a written data inventory and a confirmed extraction method (API or manual export).

  2. BambooHR meta-field fetch and schema preparation

    We fetch the complete BambooHR field list via GET /v1/meta/fields to retrieve all standard and custom field IDs for the specific destination account. We create any missing custom fields (for evaluation scores, custom offer fields, stage history) in BambooHR before data import begins. We configure Departments and Locations in BambooHR first since they are required lookup values on both Jobs and Employees. We document the Simplicant pipeline stage names and map them to BambooHR Job stages, flagging any stages with automation rules that cannot transfer.

  3. Data extraction from Simplicant

    We extract data from Simplicant using the available method (Careers Site API or coordinated manual export). Records are extracted in dependency order: Departments and Locations first, then Jobs, then Candidates/Applicants, then Offers, then Onboarding Records, then Attachments. For each object we produce a field-level mapping document and a CSV or JSON file that serves as the migration source artifact. Where API access is unavailable and manual export is required, we work with Simplicant support to ensure exports are complete and consistent before proceeding to import.

  4. Sandbox import and reconciliation

    We run a full import into the customer's BambooHR test environment using production-like record counts. The customer's HR admin reviews a spot-check sample of migrated Jobs, Applicants, Offers, and Employees against the Simplicant source data, verifies that custom field data landed correctly, and confirms that Department and Location lookups are consistent. Any field mapping corrections, missing custom fields, or data quality issues are resolved in this phase. Sign-off on sandbox reconciliation gates the production migration.

  5. Production migration in dependency order

    We run the production migration in record-dependency order: Departments and Locations first, then Employees and Users, then Jobs (with stage configuration), then Applicants (with jobId and employeeId resolved), then Offers, then Onboarding Records, then Attachments. Each phase emits a row-count reconciliation report. We implement rate limit handling against BambooHR's approximately 100 requests per minute with exponential backoff on 503 responses. Any records rejected due to validation rules or required field gaps are captured in an error report for the customer's BambooHR admin to resolve before the phase is marked complete.

  6. Cutover, final validation, and workflow inventory handoff

    We freeze Simplicant writes during the cutover window, run a final delta import of any records modified during migration, and hand off to BambooHR as the system of record. We deliver the written workflow inventory document covering active Simplicant pipeline automation rules, onboarding workflow sequences, and any conditional routing logic requiring rebuild in BambooHR. We support a five-business-day hypercare window for data quality issues discovered post-cutover. We do not rebuild Simplicant workflows or onboarding automation sequences as BambooHR workflows inside the migration scope; that work is handled by the customer's BambooHR admin.

Platform deep dives

Context on both ends of the pair

Simplicant logo

Simplicant

Source

Strengths

  • AI-powered screening with auto-advance and rejection reduces manual review workload on high-volume requisitions.
  • Integrated offer management with e-signatures and approval workflows streamlines the offer-to-acceptance handoff.
  • Branded careers page builder reduces dependency on external consultants for employer branding.
  • Reporting and analytics cover time-to-hire, source effectiveness, and recruiter performance across the hiring funnel.
  • GDPR-ready compliance features support recruitment in regulated hiring markets.

Weaknesses

  • Gated API access requires a sales contact to enable — no self-serve public API for data export or integration building.
  • Small reported customer base (84 accounts) raises long-term vendor stability concerns for organizations with multi-year hiring roadmaps.
  • Opaque pricing tied to company size makes it difficult to predict costs as hiring volume scales.
  • Limited third-party integrations compared to larger ATS competitors — fewer native connectors for HRIS, background check, or calendar tools.
  • Sparse public review volume makes independent performance benchmarking difficult for buyers.
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. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • 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

    Simplicant: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Simplicant 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 Simplicant to BambooHR data migrations

Answers to the questions buyers ask most during Simplicant 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 active candidates, 200 open or historical jobs, and 50 employees. The primary variable is Simplicant's data access method: if the Careers Site API is available on the current plan, extraction is faster. If manual export via Simplicant support is required, discovery extends by one to three weeks. Migrations with complex multi-stage pipeline configurations, attachment-heavy document archives, or BambooHR custom onboarding field setup move to seven to eleven weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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