HRMS migration
Field-level mapping, validation, and rollback between RippleHire and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
RippleHire
Source
Crelate
Destination
Compatibility
8 of 12
objects map 1:1 between RippleHire and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from RippleHire to Crelate is a lifecycle-architecture migration. RippleHire organizes hiring around Jobs and a gamified referral engine with India-native BGV and Aadhaar onboarding compliance; Crelate is an ATS-and-Recruiting CRM built for US and Canada-based executive search, staffing, and in-house talent teams. The structural differences are significant: RippleHire has no publicly documented REST API, so data export requires direct coordination with their implementation team. RippleHire's gamification engine stores referral reward eligibility in a proprietary schema with no direct Crelate equivalent. RippleHire's maker-checker offer approval chains carry audit context that we preserve as dated notes on the Crelate Opportunity record. We migrate Jobs as Crelate Jobs, Candidates as Contacts, Referral records as Notes with reward-status context on the Contact, Offers as Opportunities with approval-chain notes, Onboarding tasks as Tasks, and BGV status flags as custom fields on Contact. Workflows, automations, Reports, and Dashboards do not migrate; we deliver a written inventory for the customer's admin to rebuild in Crelate.
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 RippleHire object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
RippleHire
Jobs (Requisitions)
Crelate
Job
1:1RippleHire Jobs are the primary requisition object organizing the hiring pipeline. We map Jobs to Crelate Job records, preserving job title, description, job board posting status, and sourcing channel attribution. RippleHire's pipeline stages (screening, interview, offer, hire) map to Crelate's job pipeline stages if configured. Any custom fields on the Job record (department, cost-center, hiring-manager assignment) migrate as Crelate custom properties. Job status (open, paused, closed) transfers directly.
RippleHire
Candidates
Crelate
Contact
1:1RippleHire Candidates (sourced, referred, and applied profiles) map to Crelate Contact records. We preserve contact details, email, phone, current stage in the RippleHire pipeline, stage-progression timestamps, and sourcing channel attribution. Any resume attached to the Candidate record migrates as a Crelate file linked to the Contact. RippleHire's Candidate ID is preserved in a custom field rh_candidate_id__c for reconciliation purposes.
RippleHire
Referrals
Crelate
Note (on Contact)
1:manyRippleHire Referral records carry the referrer identity, referral status (pending, shortlisted, hired), reward eligibility, and any incentive payout milestone. Crelate has no native gamification object, so we create a structured Note on the Crelate Contact record containing the referrer name, referral status, reward eligibility flag, and payout stage. This preserves the referral context without requiring a custom object. If the referrer is not already a Contact in RippleHire, we create a minimal Contact record for them in Crelate to anchor the referral note.
RippleHire
Offers
Crelate
Opportunity
1:1RippleHire Offers map to Crelate Opportunity records. We map offer amount, currency, offer status (accepted, declined, pending), and candidate name to the Opportunity. RippleHire's maker-checker approval chain (who approved, at which stage, under which policy rule) migrates as date-stamped notes on the Crelate Opportunity, preserving the full approval audit trail. Offer letter attachments migrate as files linked to the Opportunity.
RippleHire
Onboarding
Crelate
Task
1:1RippleHire Onboarding data (post-offer engagement, BGV status, appointment scheduling, day-one join details) maps to Crelate Task records attached to the relevant Contact or Opportunity. BGV completion status migrates as a custom field on the Contact. We do not migrate the full onboarding-day details if they live in a separate document; in that case, we attach the document as a file and create a summary Task record with the onboarding checklist status.
RippleHire
Users (Hiring Team Members)
Crelate
User
1:1RippleHire Users (recruiters, hiring managers, admins) map to Crelate User records by email match. Role-based permissions migrate as Crelate role assignments; any RippleHire role without a direct Crelate equivalent is documented for the customer's admin to reconfigure post-migration. Inactive RippleHire users map to inactive Crelate Users.
RippleHire
Custom Fields (Jobs and Candidates)
Crelate
Custom Properties
lossyRippleHire custom fields on Jobs and Candidates migrate to Crelate custom properties on Job and Contact. We map the field name, data type, and picklist values. Conditional-logic dependencies and cross-field validation rules from RippleHire are documented in the migration scope as configuration requirements for the customer's admin to rebuild in Crelate's custom forms editor. If a RippleHire picklist maps to a Crelate multi-select, we create the matching picklist values during schema setup.
RippleHire
Background Verification (BGV) Records
Crelate
Custom Field + File (on Contact)
1:1RippleHire BGV records track verification status against Aadhaar and other India-specific checks. We carry the verification status (pending, in-progress, completed, failed) as a custom field on the Crelate Contact. Detailed BGV report documents export as file attachments on the Contact. Any BGV data tied to India-specific identifiers (Aadhaar numbers) is flagged during migration for the customer's compliance team to handle per data-governance policy; we do not transfer personally identifiable Aadhaar data unless explicitly scoped and approved.
RippleHire
Talent Sourcing Channels
Crelate
Tag (on Contact)
1:1RippleHire unifies referrals, vendor/agencies, and job board sources under a single sourcing view with per-candidate attribution. We preserve source attribution as a Crelate Tag on the Contact record. Vendor-specific pipeline stages that may exist in RippleHire but not in Crelate are documented for admin review; we do not create custom pipeline stages without explicit scope confirmation.
RippleHire
Workflows and Approvals
Crelate
Note (on relevant record)
1:1RippleHire maker-checker workflow configurations govern offer approvals and other approval gates. These are system-level workflow definitions that do not migrate. We map the outcome records (who approved, at which stage, under which policy rule, with what timestamp) as date-stamped notes on the relevant Crelate record (Offer becomes Opportunity, Onboarding becomes Task). The customer receives a written workflow inventory documenting every RippleHire approval gate and a recommended rebuild approach in Crelate's workflow tools.
RippleHire
Decline Analysis
Crelate
Not migrated
lossyDecline analysis in RippleHire is an aggregated reporting artifact summarizing offer-decline trends, not a transactional data object. We do not migrate reporting-layer artifacts. The customer receives a written note identifying the Decline Analysis report as a reporting-layer feature that should be rebuilt as a Crelate report or exported to a BI tool post-migration.
RippleHire
Reports and Dashboards
Crelate
Not migrated
lossyRippleHire shared dashboards for offer status, pipeline analytics, and decline insights are BI-layer artifacts tied to the platform's data warehouse. These do not migrate as data records. We deliver a written inventory of every RippleHire report and dashboard with its underlying data sources and recommended Crelate equivalent (built-in report or exported to a BI platform).
| RippleHire | Crelate | Compatibility | |
|---|---|---|---|
| Jobs (Requisitions) | Job1:1 | Fully supported | |
| Candidates | Contact1:1 | Fully supported | |
| Referrals | Note (on Contact)1:many | Fully supported | |
| Offers | Opportunity1:1 | Mapping required | |
| Onboarding | Task1:1 | Mapping required | |
| Users (Hiring Team Members) | User1:1 | Fully supported | |
| Custom Fields (Jobs and Candidates) | Custom Propertieslossy | Fully supported | |
| Background Verification (BGV) Records | Custom Field + File (on Contact)1:1 | Mapping required | |
| Talent Sourcing Channels | Tag (on Contact)1:1 | Mapping required | |
| Workflows and Approvals | Note (on relevant record)1:1 | Mapping required | |
| Decline Analysis | Not migratedlossy | Not supported | |
| Reports and Dashboards | Not migratedlossy | Not 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.
RippleHire gotchas
No publicly documented REST API or bulk export endpoint
Gamified referral data lives in a proprietary reward schema
Offer approval chains use maker-checker workflow that is source-system specific
Crelate gotchas
120 req/min API rate limit throttles bulk migrations
20 custom field per-entity cap forces data model decisions
15,000-record export ceiling on single operations
Sequences and automation workflows do not migrate
API key is a querystring parameter, not a header
Pair-specific challenges
Migration approach
Export coordination and discovery
We initiate contact with RippleHire's implementation or support team to request a structured data export. We audit the RippleHire portal for all active objects: Jobs, Candidates, Referrals, Offers, Onboarding tasks, Users, custom fields, BGV status records, and sourcing channel data. We also inventory active workflows, maker-checker approval chains, referral reward configurations, and any reporting artifacts. The discovery output is a written migration scope identifying every object, its estimated record count, any schema dependencies, and the RippleHire export timeline.
Schema setup in Crelate
We configure the destination Crelate environment before any data import. This includes creating custom properties on Job and Contact to accommodate RippleHire's custom fields, setting up picklist values that match RippleHire's sourcing channels and stage values, configuring file-storage structure for resumes and offer letter attachments, and creating the User records that map to RippleHire hiring team members by email match. Crelate's Settings | Custom Forms editor is used to configure field mappings for any form-based data capture that maps to Contact or Opportunity fields.
Referral and approval transformation design
We design the transformation logic for RippleHire's proprietary objects. Referral records are converted into structured Notes on the relevant Crelate Contact, preserving referrer identity, referral status, reward eligibility, and payout stage. Offer approval chains are extracted from RippleHire's workflow outcome records and formatted as date-stamped notes on the corresponding Crelate Opportunity. BGV status is extracted as a discrete value and written to a custom Contact field; BGV documents are exported as file attachments. This transformation design is reviewed with the customer before any import runs.
Sandbox migration and reconciliation
We run a full test migration into a Crelate staging environment using the exported RippleHire data. The customer's talent acquisition lead reviews 25-50 randomly sampled records across Jobs, Candidates, Referrals, Offers, and Onboarding, comparing against the RippleHire source. We resolve any field-mapping corrections, picklist value mismatches, and record-type decisions (for example, whether a RippleHire Candidate sourced via vendor maps to a Crelate Tag or a separate Contact type). The customer signs off on the staging result before production migration begins.
Production migration in dependency order
We run production migration in record-dependency sequence. Users are provisioned first (mapped by email). Jobs are migrated next as the primary requisition anchor. Candidates follow as Contacts with the RippleHire Candidate ID preserved in a custom field for reconciliation. Referrals are written as Notes on the relevant Contact. Offers are written as Opportunities with approval-chain notes. Onboarding tasks are written as Tasks on the relevant Contact or Opportunity. BGV status migrates as a custom field; BGV documents attach as files. Custom fields on Job and Contact populate during the respective record imports. Sourcing channel attribution writes as Tags on Contact.
Cutover, final delta, and workflow handoff
We freeze RippleHire writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the workflow inventory document covering every RippleHire approval chain, referral reward configuration, and custom field dependency requiring rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild RippleHire workflows, automations, or gamification logic in Crelate within the migration scope; those are separate configuration engagements for the customer's admin.
Platform deep dives
RippleHire
Source
Strengths
Weaknesses
Crelate
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across RippleHire and Crelate.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
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
RippleHire: Not publicly documented.
Data volume sensitivity
RippleHire 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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