HRMS migration

Migrate from Happy Hire to Crelate

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

Happy Hire logo

Happy Hire

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between Happy Hire and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Happy Hire logo

Happy Hire

What's pushing teams away

  • HappyHire is candidate-facing coaching, not an employer-facing ATS or HRMS — companies looking to manage hiring don't need this product; only individual candidates do.
  • Category mismatch in our catalog: classified as HRMS but the actual product is interview prep for individuals, not workforce management software.
  • Pricing is per-use (one-time £23, £35, £115) — there is no enterprise plan for companies to buy on behalf of cohorts, limiting B2B sale path.
  • Coaching outcomes vary by candidate effort; some users may pay £115 for 1:1 sessions and still not land the role, creating reputation risk for individual reviewers.
  • Smaller marketing footprint than Indeed, LinkedIn Learning, or Coursera interview prep — discovery requires search-led arrival.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How Happy Hire objects map to Crelate

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

maps to

Crelate

Person (Candidate record)

1:1
Fully supported

Happy 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

maps to

Crelate

Job Submission

1:1
Fully supported

Happy 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

maps to

Crelate

Job

1:1
Fully supported

Happy 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

maps to

Crelate

User

1:1
Fully supported

Happy 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

maps to

Crelate

Person (Employee type)

1:1
Fully supported

Post-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

maps to

Crelate

Task

1:1
Fully supported

Happy 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

maps to

Crelate

Activity + Custom Scorecard Fields

lossy
Fully supported

Scorecard 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

maps to

Crelate

Job Posting Metadata

1:1
Fully supported

Active 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

maps to

Crelate

Source Field on Person

lossy
Fully supported

Happy 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

maps to

Crelate

Custom Person Field

lossy
Fully supported

Happy 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

maps to

Crelate

Submission Stage Value

lossy
Fully supported

Happy 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)

maps to

Crelate

Activity

1:1
Fully supported

Candidate-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.

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.

Happy Hire logo

Happy Hire gotchas

High

Catalog category mismatch — not an HRMS

Medium

Per-use billing means no recurring data to migrate at scale

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Happy Hire has no documented public API

    Happy Hire does not publish a documented public API, which means migration cannot use the standard API-based extraction approach common for other ATS platforms. We must extract data through structured database exports or file-based reports provided by Happy Hire, which may require coordination with Happy Hire support to obtain complete data dumps. The lack of API access extends migration timeline because each export pass must be manually requested or generated, and any incremental delta exports during the parallel-run phase require additional coordination. We plan for this constraint during scoping and build a custom export pipeline before migration begins.

  • AI screening configurations and scorecard templates do not migrate as code

    Happy Hire's AI-powered screening configurations and custom scorecard template logic are platform-specific settings that do not have a direct Crelate equivalent. We export the completed scorecard evaluation data (ratings and notes) but not the template builder logic. Crelate uses activity forms and custom fields to replicate scorecard layouts. The customer reviews the mapped scorecard structure during sandbox validation and adjusts field configuration in Crelate before production migration. This is a rebuild effort, not a code migration.

  • Referral module and onboarding workflow settings do not migrate

    Happy Hire's employee referral module (including incentive tracking and referral source rules) and onboarding workflow settings are stored as platform-specific configuration that has no direct equivalent in Crelate. We export referral attribution data (which candidate came from which referral source) as source attribution on the Person record. Onboarding task lists are exported as task records, but the workflow automation and incentive configuration does not transfer. We deliver a written inventory of active referral programs and onboarding workflow settings for the customer to rebuild in Crelate.

  • Job board analytics do not transfer to Crelate

    Happy Hire tracks which external job boards a job was posted to and may surface aggregate performance metrics within the platform. We preserve the posting URLs and board names as metadata on the Job record in Crelate. However, board-level analytics (impressions, clicks, application conversion rates by board) are external platform data not stored in Happy Hire and cannot be migrated. The customer will need to re-establish job board posting integration directly within Crelate's built-in job board connections.

  • Application stage transition timestamps require custom field mapping

    Happy Hire preserves application stage transition timestamps (when a candidate moved from Applied to Screening, for example) as part of the application history. Crelate's standard Job Submission object does not natively store stage-by-stage transition timestamps as separate records. We map these to a custom text or JSON field on the Job Submission record for audit purposes, but the stage history does not render as a visual timeline in Crelate's standard UI without custom development. We flag this in the migration report and the customer can decide whether a custom development effort is warranted post-migration.

Migration approach

Six steps for a successful Happy Hire to Crelate data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Happy Hire logo

Happy Hire

Source

Strengths

  • One-click job posting to 200+ sites surfaces positions broadly without manual effort per platform
  • AI-powered candidate screening accelerates early-stage filtering before human review begins
  • Built-in onboarding workflows reduce the gap between offer acceptance and day-one productivity
  • Employee referral module incentivizes internal sourcing with integrated tracking
  • Reporting and analytics provide visibility into pipeline velocity and source effectiveness

Weaknesses

  • Pricing and tier limits are not publicly documented, requiring direct sales contact to scope accurately
  • No documented public API is available in the research, limiting direct integration options
  • Small team footprint (10 employees per PitchBook) raises long-term vendor stability questions
  • Feature scope beyond core ATS functions is unclear from public documentation
  • Typical customer size is not published, making it difficult to assess fit for larger organisations without a demo
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

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 Happy Hire and Crelate.

  • 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

    Happy Hire: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Happy Hire to Crelate 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 Happy Hire to Crelate data migrations

Answers to the questions buyers ask most during Happy Hire to Crelate 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 candidates, 500 jobs, and 50 users. The timeline extends to eight to twelve weeks when migration volume exceeds these thresholds or when extensive custom fields, scorecard data, or onboarding task hierarchies require multi-pass field mapping. The lack of a documented Happy Hire API adds one to two weeks to the extraction phase because we must develop a custom file-based export pipeline before mapping can begin.

Adjacent paths

Related migrations to explore

Ready when you are

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