HRMS migration
Field-level mapping, validation, and rollback between Happy Hire and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
Happy Hire
Source
Crelate
Destination
Compatibility
8 of 12
objects map 1:1 between Happy Hire and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Happy Hire to Crelate is a file-based migration that requires a custom export pipeline because Happy Hire does not publish a documented public API. We extract candidate profiles, application histories, job records, and user accounts through structured database exports, remap the flat or semi-structured Happy Hire data model against Crelate's relational object schema (People, Jobs, Placements, Activities), and load via Crelate's import API with field-type validation. Crelate's Living Platform supports drag-and-drop pipeline management, AI-powered candidate discovery, and a full recruiting CRM alongside its ATS layer, making it a structural upgrade for teams that have outgrown Happy Hire's feature scope. We do not migrate onboarding workflows, AI screening configurations, or referral module settings as code; we deliver a written inventory of these for your admin to rebuild in Crelate's workflow engine post-migration.
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 Happy Hire 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.
Happy Hire
Candidate
Crelate
Person (Candidate record)
1:1Happy Hire candidate profiles include contact details, resume files, status, and source attribution. We migrate candidate records 1:1 to Crelate Person records. Resume files are extracted as attachments and linked via Crelate's document storage. Source attribution maps to the Crelate Source field. Any empty required fields in Happy Hire are flagged during extraction so the customer can decide whether to backfill before import.
Happy Hire
Application
Crelate
Job Submission
1:1Happy Hire Applications link a Candidate to a Job with stage and timestamp data. We preserve the full application history including stage transitions and notes across both inbound and outbound migrations. Application status maps to Crelate's submission stage values. The application timestamp is preserved as a custom date field on the Job Submission record.
Happy Hire
Job
Crelate
Job
1:1Happy Hire Job records carry title, description, location, department, and status. We migrate active and closed jobs with their posting metadata. Custom job fields from Happy Hire are mapped to Crelate custom fields on the Job object. Active postings that are currently receiving applications are kept open until the cutover window closes to prevent mid-flight candidate loss.
Happy Hire
User
Crelate
User
1:1Happy Hire user accounts include name, email, and role. We migrate users with their assigned roles and reassign ownership of candidates and jobs to the correct user records at Crelate destination. Owner reconciliation is performed by email match. Any Happy Hire user without a matching Crelate user account goes to a provisioning queue for the customer's admin.
Happy Hire
Employee Record
Crelate
Person (Employee type)
1:1Post-hire Employee records stored separately from candidate profiles in Happy Hire are migrated to Crelate Person records with an Employee record type. Fields including start date, department, and employment status map to corresponding Crelate Person fields. Custom employee properties may require additional field mapping work depending on the complexity of the source schema.
Happy Hire
Onboarding Task
Crelate
Task
1:1Happy Hire onboarding workflows include checklists and task assignments tied to new hires. We export task names, assignees, and completion statuses. Subtask nesting may flatten during migration depending on the depth of the source hierarchy. We flag any flattened subtasks in the migration report so the customer can assess whether manual reconstruction is needed in Crelate.
Happy Hire
Interview Scorecard
Crelate
Activity + Custom Scorecard Fields
lossyScorecard templates and completed evaluations contain structured ratings and free-text notes. We export the scorecard structure and all completed evaluations, preserving the relationship to the candidate. Crelate's activity forms and custom fields are used to replicate the scorecard layout. The customer reviews the mapped scorecard structure during sandbox validation before production migration.
Happy Hire
Job Board Posting
Crelate
Job Posting Metadata
1:1Active postings to external job boards are tracked as metadata on the Happy Hire Job object. We record which boards a job was posted to and the posting URL where available. Board-level analytics (views, clicks, applications per board) do not migrate as these are external platform data not stored in Happy Hire. The job posting URLs are preserved as notes on the Job record in Crelate.
Happy Hire
Candidate Source Attribution
Crelate
Source Field on Person
lossyHappy Hire tracks candidate source (referral, job board, direct apply, agency) as a property on the Candidate object. We map source attribution to the Crelate Source picklist field on the Person record. If Happy Hire uses free-text source values not in Crelate's standard picklist, we either add them to the picklist or store them in a custom text field for the customer to normalize post-migration.
Happy Hire
Custom Candidate Field
Crelate
Custom Person Field
lossyHappy Hire custom fields on the Candidate object are mapped to Crelate custom Person fields. We match field types (text, number, date, picklist, checkbox) between the two systems and flag any Crelate field type that requires conversion. Custom fields are provisioned in Crelate before migration begins so they are available during the import phase.
Happy Hire
Pipeline Stage Name
Crelate
Submission Stage Value
lossyHappy Hire pipeline stage names (Applied, Screening, Interview, Offer, Hired) are mapped to Crelate submission stage values. Stage ordering is preserved. If the customer has custom stage names in Happy Hire, we create matching custom stage values in Crelate during the pre-migration configuration phase.
Happy Hire
Activity (Notes, Tasks)
Crelate
Activity
1:1Candidate-related notes and tasks from Happy Hire migrate to Crelate Activity records linked to the Person. Notes become Crelate note-type activities; tasks become Crelate task-type activities with assignee, due date, and status preserved. Activity timestamps are preserved to maintain the historical timeline on the candidate record.
| Happy Hire | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Person (Candidate record)1:1 | Fully supported | |
| Application | Job Submission1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Employee Record | Person (Employee type)1:1 | Fully supported | |
| Onboarding Task | Task1:1 | Fully supported | |
| Interview Scorecard | Activity + Custom Scorecard Fieldslossy | Fully supported | |
| Job Board Posting | Job Posting Metadata1:1 | Fully supported | |
| Candidate Source Attribution | Source Field on Personlossy | Fully supported | |
| Custom Candidate Field | Custom Person Fieldlossy | Fully supported | |
| Pipeline Stage Name | Submission Stage Valuelossy | Fully supported | |
| Activity (Notes, Tasks) | Activity1:1 | 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.
Happy Hire gotchas
Catalog category mismatch — not an HRMS
Per-use billing means no recurring data to migrate at scale
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 pipeline development and Happy Hire data extraction
Because Happy Hire lacks a documented public API, we develop a custom export pipeline in coordination with the customer's Happy Hire instance. We extract Candidates, Applications, Jobs, Users, Employee Records, Onboarding Tasks, Interview Scorecards, and Job Board Posting metadata as structured CSV or JSON files. We audit the extracted data for completeness (record counts, field population rates, file integrity) and flag any gaps before proceeding. Active job postings currently receiving applications are identified and held in a pending-import state until the cutover window is confirmed.
Schema design and Crelate configuration
We design the destination schema in Crelate. This includes provisioning custom Person fields to match Happy Hire's custom candidate fields, configuring submission stage values to match Happy Hire's pipeline stages, setting up User roles mapped from Happy Hire's role assignments, and creating any custom picklist values required for source attribution, department, and employment status. Crelate's field mapping feature is used to copy answers from custom forms to parent record columns. Schema configuration is validated in Crelate's sandbox environment before any data is loaded.
Sandbox migration and reconciliation
We run a full migration into Crelate's environment using production-like data volume extracted from Happy Hire. The customer's recruiting operations lead reconciles record counts (Candidates in, Applications in, Jobs in, Users in, Activities in), spot-checks 25-50 random candidate records against the Happy Hire source, and reviews the mapped scorecard structure. Any field mapping corrections, stage value adjustments, or custom field additions happen in this phase. The customer signs off the sandbox validation before production migration begins.
Owner reconciliation and user provisioning
We extract every distinct Happy Hire user referenced on candidate, job, application, and activity records and match by email against Crelate's User table. Users without a matching Crelate account go to a reconciliation queue. The customer's Crelate admin provisions any missing users with appropriate roles and active/inactive status. Owner assignment on candidate and job records is resolved at this stage. Migration cannot proceed past this step because OwnerId references are required on most record types.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated), Jobs (base record), People (Candidates and Employees), Job Submissions (with PersonId and JobId resolved), Activities (Notes, Tasks, Scorecard evaluations via Crelate's import API), and Onboarding Tasks (flattened as standard tasks). Each phase emits a row-count reconciliation report before the next phase begins. Active job postings are held open until the cutover window closes to prevent mid-flight application loss.
Cutover, validation, and workflow rebuild handoff
We freeze Happy Hire 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 a written inventory of active onboarding workflows, referral module settings, and AI screening configurations requiring rebuild in Crelate. We support a one-week hypercare window where we resolve any reconciliation issues raised by the recruiting team. We do not rebuild Happy Hire onboarding workflows as Crelate workflow automations inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Happy Hire
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 Happy Hire 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
Happy Hire: Not publicly documented.
Data volume sensitivity
Happy Hire 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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Happy Hire to Crelate migration scoping. Not seeing yours? Book a call.
Walk through your Happy Hire to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Happy Hire
Other ways to arrive at Crelate
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.