HRMS migration
Field-level mapping, validation, and rollback between unstop and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
unstop
Source
BambooHR
Destination
Compatibility
5 of 10
objects map 1:1 between unstop and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Unstop and BambooHR serve different stages of the talent lifecycle. Unstop is a pre-employment engagement platform built around candidates, competitions, hackathons, quizzes, and skill assessments; BambooHR is a full HRIS built around employees, payroll, onboarding, and performance management from day one onward. Migrating from Unstop to BambooHR means reshaping a candidate-centric data model into an employee-centric one — a structural transformation rather than a simple record copy. We extract candidate profiles, application records, assessment scores, and hackathon participation data via dashboard CSV exports where Unstop exposes no public API, normalize competition and hackathon metadata into structured JSON payloads stored as BambooHR custom fields, and build an ATS inventory document enumerating every Unstop job posting, internship, and competition that requires a BambooHR Job or Position record to be recreated by your admin post-migration. BambooHR's employee import requires pre-existing users or bulk provisioning; we coordinate with your BambooHR admin to configure employeeNumber assignment and supervisor relationships before any record is loaded. Workflows, quiz configurations, and automated candidate-matching rules do not migrate; we deliver a written handoff specifying each for manual rebuild.
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 unstop 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.
unstop
Users (Candidates)
BambooHR
Employee
1:1Unstop Users with a candidate role map to BambooHR Employee records. Candidate profile fields — firstName, lastName, email, phone, dateOfBirth, education, skills, workHistory — map to BambooHR standard Employee fields. We flag education and work-history fields as self-reported and recommend marking them as unverified in BambooHR until HR verification is complete. The migration user performing the import must be a BambooHR administrator. BambooHR cannot create net-new users via API provisioning from a non-BambooHR source; we coordinate with the customer's admin to pre-provision employeeNumber assignments or use BambooHR's bulk employee import CSV template.
unstop
Users (Recruiters/Organizations)
BambooHR
Employee or Company (dependent on context)
lossyUnstop Organization profiles (company name, logo, description, contact details) map to BambooHR Company records if the context is an employer account being tracked. If the migration scope includes converting the recruiting organization itself into a BambooHR customer account, we treat the Organization as a Company lookup entity and preserve contact information in a custom field.
unstop
Jobs
BambooHR
Job (BambooHR ATS)
1:1Unstop Job postings map directly to BambooHR Job records in the ATS module. Fields — title, description, location, employmentType, salaryRange, applicationDeadline — migrate 1:1. BambooHR's ATS is a separate add-on at $99-$199 per month; we confirm during scoping whether the destination BambooHR account has ATS enabled. If not, we document each Job as a written record for the customer to recreate in BambooHR post-migration.
unstop
Internships
BambooHR
Job (BambooHR ATS) with internship metadata
1:1Unstop Internship records follow the same schema as Jobs with additional fields for internshipType, durationMonths, and stipendAmount. We map these to BambooHR Job records with internshipType and duration stored as custom fields, and stipendAmount stored as a custom compensation field. The internshipType discriminator allows the customer to filter BambooHR Job listings by internship versus full-time role.
unstop
Application Records
BambooHR
Candidate Record (BambooHR ATS)
1:1Unstop Application records linking a User to a Job, Internship, or Competition map to BambooHR Candidate Records in the ATS module. Application status (Applied, Shortlisted, Rejected, Offer Extended) migrates to BambooHR's status pipeline. The candidate's resume and cover letter attach as documents to the BambooHR Candidate Record via ContentDocumentLink. BambooHR does not support a native Application object separate from Candidate Record; the application lifecycle maps to Candidate Record status transitions.
unstop
Competitions
BambooHR
Custom Fields or Program Record (configuration)
lossyUnstop Competitions (coding challenges, quizzes, design contests, case studies) each have distinct metadata and scoring structures that do not map directly to any standard BambooHR object. We normalize competition metadata — name, organizer, startDate, endDate, rules, formatType — into a structured JSON payload stored as a custom Employee field called competition_history__c on the relevant Candidate or Employee record. Format-specific scoring and leaderboard data store as additional JSON fields within the payload. The customer decides whether to apply this data to an Employee record post-hire or retain it on a Candidate Record for reference.
unstop
Hackathons
BambooHR
Custom Fields or Program Record (configuration)
lossyUnstop Hackathon records include team structures, submission URLs, judging scores, and leaderboard positions. Team membership flattens into individual participation records on each candidate's profile, with a parent hackathon reference. Submission URLs store as custom text fields; judging scores and leaderboard rank store as numeric custom fields. We recommend creating a BambooHR custom object called Hackathon_Participation if the BambooHR plan supports custom objects, or storing as JSON in a custom Employee field if it does not.
unstop
Assessments
BambooHR
Custom Fields or Document (configuration)
lossyUnstop Assessment objects store quiz configurations, question banks, time limits, and scoring rubrics. We export the assessment configuration as structured metadata and candidate response summaries as JSON attached to the relevant Candidate Record. The raw assessment configuration (question banks, rubrics) does not migrate as executable content; BambooHR does not run quiz sessions natively. We deliver a written assessment inventory listing each Unstop assessment with its configuration details so the customer's admin can recreate the assessment in BambooHR's document repository or a third-party assessment tool integrated via BambooHR's API.
unstop
Quiz Sessions
BambooHR
Custom Fields on Candidate Record
1:1Unstop Quiz Session records — start/end timestamps, score, passingStatus, device, platform — map to custom fields on the BambooHR Candidate Record. We validate server-side score records against original timestamps, flag any session with a missing end_timestamp or anomalous duration as a likely crash-affected record per the Unstop platform gotcha documentation, and store a data_quality flag on those records. BambooHR's ATS does not support native quiz session objects; these fields store as custom Candidate Record properties.
unstop
Scholarships
BambooHR
Program or Grant Record (configuration)
lossyUnstop Scholarship records — eligibility criteria, award amount, application deadline, applicant list — do not map to a standard BambooHR object. We create a written scholarship inventory document enumerating each Unstop scholarship with its full details (name, eligibility, amount, deadline, recipient list) for the customer to recreate as BambooHR Benefit Program records or as a documented program list maintained outside BambooHR. BambooHR's Benefits Tracking module manages employee benefit plans, not scholarship programs, so a schema-equivalent object does not exist.
| unstop | BambooHR | Compatibility | |
|---|---|---|---|
| Users (Candidates) | Employee1:1 | Fully supported | |
| Users (Recruiters/Organizations) | Employee or Company (dependent on context)lossy | Fully supported | |
| Jobs | Job (BambooHR ATS)1:1 | Fully supported | |
| Internships | Job (BambooHR ATS) with internship metadata1:1 | Fully supported | |
| Application Records | Candidate Record (BambooHR ATS)1:1 | Fully supported | |
| Competitions | Custom Fields or Program Record (configuration)lossy | Mapping required | |
| Hackathons | Custom Fields or Program Record (configuration)lossy | Mapping required | |
| Assessments | Custom Fields or Document (configuration)lossy | Mapping required | |
| Quiz Sessions | Custom Fields on Candidate Record1:1 | Mapping required | |
| Scholarships | Program or Grant Record (configuration)lossy | 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.
unstop gotchas
No public API for programmatic data extraction
Timed quiz sessions lost to app crashes
Candidate profile data quality varies widely
Competition and hackathon data lacks a standard schema
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
Data export negotiation and dashboard extraction
We open a formal data export request with Unstop account management requesting a full CSV or structured data export covering Users, Organizations, Jobs, Internships, Competitions, Hackathons, Assessments, Quiz Sessions, Applications, and Scholarships. Simultaneously, we access the admin dashboard to download available CSV exports for each object. We audit export completeness against the customer's Unstop account data volume and flag any gaps (objects not included in the formal export) for manual dashboard extraction. This phase typically takes one to two weeks and is the most timeline-sensitive step because Unstop's response time for data export requests is not guaranteed.
Scope definition and BambooHR schema audit
We audit the destination BambooHR account for available modules (Core, Pro, or Elite), ATS add-on status, existing custom fields, organizational structure, and department hierarchy. We map each Unstop object to either a standard BambooHR object or a custom field configuration, and we identify any objects (Competitions, Hackathons, Scholarships) that require JSON payload storage or a written inventory handoff rather than a direct record migration. The output is a written migration scope document specifying the exact objects to be migrated, the transformation rules for each, and the objects to be documented for manual rebuild.
Data cleaning and format normalization
We clean the extracted CSV data: deduplicating candidate profiles by email, standardizing date formats to match BambooHR's configured date input format, validating name fields for Unicode character compatibility, and flagging quiz session records with missing end timestamps or anomalous durations as crash-affected. Competition and hackathon records with heterogeneous formats (coding challenge metadata, design contest scores, quiz leaderboard data) are normalized into structured JSON payloads with a formatType discriminator and store-format-specific fields as key-value pairs.
BambooHR employee pre-provisioning coordination
We provide the customer's BambooHR administrator with an employee pre-provisioning checklist: assign employeeNumber values to every candidate who will become an Employee record in BambooHR, configure supervisor relationships for organizational hierarchy, set the correct employmentStatus (Contractor, Full-Time, Part-Time) for each record, and confirm the BambooHR import user's administrative permissions. We cannot proceed with record import until the admin confirms this provisioning is complete. We also confirm ATS add-on status and, if ATS is not enabled, document the job and internship records in the ATS inventory for manual creation post-migration.
Sandbox validation migration
We run a full test migration into BambooHR's sandbox environment (if available on the customer's plan) or a shadow production run with a small record subset. We validate record counts, field mapping accuracy on twenty to thirty randomly sampled records per object, and the rendering of Unicode name characters in BambooHR's interface. The customer's HR lead reviews the sandbox output and confirms the mapping and data quality before we proceed to production migration. Any field mapping corrections are applied here.
Production migration in dependency order
We run production migration in this sequence: first, Organization records (if applicable); second, Candidate Records in the ATS module (for Applications and job applications); third, Employee records (for candidates who have become employees, mapped with pre-assigned employeeNumber); fourth, competition and hackathon participation as custom field JSON payloads on Employee or Candidate records; fifth, assessment and quiz session data as custom fields on Candidate records. Each phase emits a row-count reconciliation report. We freeze writes on the Unstop side during the final delta migration window to capture any records created or updated during the migration run.
Cutover, validation, and rebuild handoff
We perform a final delta migration of records modified during the production migration window, then enable BambooHR as the system of record. We deliver the written ATS inventory document listing every Unstop Job, Internship, and Scholarship requiring manual creation in BambooHR, the written assessment inventory with full quiz configuration details for manual rebuild, and the written competition normalization map documenting how hackathon and competition data is stored in BambooHR custom fields. We support a three-day post-cutover validation window for the customer's HR team to spot-check record counts and data quality before we close the migration project.
Platform deep dives
unstop
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between unstop and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across unstop and BambooHR.
Object compatibility
All 7 core objects map 1:1 between unstop 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
unstop: Not publicly documented..
Data volume sensitivity
unstop 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
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Category
FAQ
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