HRMS migration
Field-level mapping, validation, and rollback between Talent Genie and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
Talent Genie
Source
Crelate
Destination
Compatibility
11 of 12
objects map 1:1 between Talent Genie and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Talent Genie and Crelate share the same core ATS object model—Candidates, Jobs, Users, Scorecards, and Pipeline Stages—but differ in export mechanism, pricing transparency, AI feature maturity, and integration ecosystem. Talent Genie publishes no public REST API; we extract via the platform's CSV bulk export with session-layer scripting to capture complete relational datasets. Custom interview scorecards are tenant-specific in Talent Genie; our discovery scan extracts the live template and all submitted evaluations before we build a one-to-one mapping into Crelate's evaluation fields. Crelate's Business plan starts at $119 per user per month with a five-seat minimum, compared to Talent Genie's opaque per-user model requiring a sales call. Crelate added AI agents in 2025 (Discover Agent and Insights Agent) whereas Talent Genie's AI screening uses linguistic pattern recognition applied at ingestion. We do not migrate Workflows, Automations, Forms, or Reports as code; we deliver a written inventory of Talent Genie's automation artefacts for the customer's Crelate admin to rebuild in Crelate's workflow builder.
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 Talent Genie 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.
Talent Genie
Candidate
Crelate
Person (Candidate)
1:1Talent Genie candidate records contain parsed resume data, contact details, social media verification flags, and source attribution. We export the full candidate profile and map each field to the Crelate Person record. Talent Genie's boolean social media verification flags map to Crelate's custom candidate properties. The original resume file attaches to the Person record as a document in Crelate. Dedup is performed on email address as the primary key.
Talent Genie
Job Requisition
Crelate
Job
1:1Talent Genie job records include title, department, location, description, and posting status as first-class fields. We migrate open and paused jobs as structured Job records in Crelate and flag any that were archived or cancelled in Talent Genie for the customer's admin to review before final import. Posting status maps to Crelate's Job open/closed flag.
Talent Genie
User
Crelate
User
1:1Talent Genie users (Admin, Recruiter, Hiring Manager roles) map to Crelate User records by email match. Role-based access flags from Talent Genie map to Crelate's permission groups. Password hashes and internal permission tokens do not transfer; Crelate User provisioning happens in the destination system before migration begins.
Talent Genie
Interview Scorecard
Crelate
Evaluation
1:1This is the most complex object in this migration pair. Talent Genie interview scorecards are fully customisable per tenant with variable rating criteria, scale types (numeric, star, text), and mandatory/optional flags. Our discovery scan extracts the live scorecard template and all submitted evaluations before we build the field mapping. Each Talent Genie scorecard criterion becomes a named Evaluation field in Crelate, preserving the original scale type. We flag any rating criteria that have no Crelate equivalent for the customer's admin to configure as custom fields post-migration.
Talent Genie
Hiring Pipeline Stage
Crelate
Pipeline Stage
lossyTalent Genie's configurable stages (Application Received, Screening, First Interview, Final Interview, Offer) are tenant-specific in name and count. We preserve the full stage sequence from the source system and configure Crelate pipelines to match. Stage ordering, stage names, and stage-to-stage transition rules are replicated in Crelate's Pipeline builder before candidate records are imported so that pipeline stage assignments land correctly on first insert.
Talent Genie
Resume File (parsed content)
Crelate
Person Document
1:1Talent Genie stores parsed resume content as structured fields alongside the raw file attachment. We transfer both: the parsed text fields map to labelled properties on the Crelate Person record, and the original PDF or Word file attaches as a document linked to the Person. This ensures the recruiter has both machine-readable data and the original document in Crelate.
Talent Genie
Audit Trail
Crelate
Activity (Notes / Tasks)
1:1Talent Genie's audit log is a chronological activity feed of stage changes, user assignments, scorecard submissions, and status updates. We export the full event log per candidate and reconstruct it as structured activity entries in Crelate—Tasks for discrete actions and Notes for commentary entries. Each activity preserves the original timestamp, the acting user name, and the event description. The original Talent Genie audit formatting cannot be fully replicated in Crelate's activity model.
Talent Genie
Social Media Verification
Crelate
Custom Candidate Property
1:1Talent Genie's social media verification flags (boolean or status fields cross-referenced against candidate social profiles) map to custom boolean or picklist fields on the Crelate Person record. We extract the field definition and values during discovery and create equivalent custom fields in Crelate before candidate import begins.
Talent Genie
Custom Properties (candidate-level)
Crelate
Custom Person Fields
1:1Talent Genie recruiters can add custom fields to candidate records. We detect all active custom properties during the discovery scan, export their values per record, and generate a field mapping table that routes each to a correspondingly named custom field in Crelate. Crelate's data type support determines the target field type (text, number, picklist, boolean). Any custom properties with unsupported Crelate types are flagged for the customer's admin to handle post-migration.
Talent Genie
Custom Properties (job-level)
Crelate
Custom Job Fields
1:1Talent Genie supports custom fields on job requisitions beyond the standard title/department/location/description set. We detect these during discovery, create equivalent custom fields in Crelate's Job object, and map the values during job import. Job-level custom fields are imported after the base job schema is confirmed in Crelate.
Talent Genie
Calendar Sync Records
Crelate
Event
1:1Talent Genie's interview scheduling generates calendar entries that sync with Google Calendar or Outlook. We export the interview record including event timestamp, attendee, and Crelate's linked calendar event ID reference (if present). Full calendar fidelity cannot be guaranteed since the calendar events themselves live in Google or Outlook, not in Talent Genie; we migrate the interview scheduling metadata and note that calendar invites require re-sending from Crelate post-migration.
Talent Genie
Reports and Analytics
Crelate
Reports
1:1Talent Genie calculates time-to-hire, source effectiveness, and pipeline conversion rates on-read from underlying data rather than storing them as exportable records. These aggregated analytics do not migrate. We preserve the raw candidate and job data that underpins these reports so that equivalent analytics can be rebuilt in Crelate's reporting module after migration.
| Talent Genie | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Person (Candidate)1:1 | Fully supported | |
| Job Requisition | Job1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Interview Scorecard | Evaluation1:1 | Fully supported | |
| Hiring Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Resume File (parsed content) | Person Document1:1 | Fully supported | |
| Audit Trail | Activity (Notes / Tasks)1:1 | Mapping required | |
| Social Media Verification | Custom Candidate Property1:1 | Mapping required | |
| Custom Properties (candidate-level) | Custom Person Fields1:1 | Fully supported | |
| Custom Properties (job-level) | Custom Job Fields1:1 | Fully supported | |
| Calendar Sync Records | Event1:1 | Mapping required | |
| Reports and Analytics | Reports1:1 | 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.
Talent Genie gotchas
No public API documentation for direct export
Pricing requires a sales contact with no published tiers
Custom scorecard schemas are tenant-specific
Audit trail exports as unstructured event log
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
Discovery and extraction planning
We audit the Talent Genie tenant to identify all active record types: candidate count, job count, active users, scorecard templates (extracted as documents), custom properties on candidate and job objects, and the full hiring pipeline stage sequence. We also identify any archived records the customer wants preserved. Because Talent Genie has no public API, we plan the extraction around the platform's bulk CSV export with session-layer scripting for records requiring relational context that the CSV format cannot express. We confirm the extraction window with the customer's Talent Genie admin and schedule the bulk export run.
Scorecard schema extraction and reverse-engineering
Before any candidate data is extracted, we extract the full interview scorecard template definition from Talent Genie: every rating criterion, its scale type, its mandatory/optional flag, and any conditional visibility rules. We also export all submitted scorecard evaluations. We then design the Crelate Evaluation field schema to match the Talent Genie template, creating custom evaluation fields for any non-standard criteria. This schema is deployed to the customer's Crelate sandbox before any candidate records are imported so that the target fields exist when evaluations are loaded.
Crelate sandbox migration and reconciliation
We run a full migration into a Crelate sandbox environment using production-like data volume. The customer's recruiting operations lead reconciles record counts (Candidates in, Jobs in, Users in, Scorecards in), spot-checks 25-50 records against the Talent Genie source for field accuracy, validates that scorecard ratings landed in the correct Crelate evaluation fields, and confirms that pipeline stage assignments match the original Talent Genie workflow. The customer signs off the sandbox migration before production migration begins. Any scorecard mapping corrections happen here.
Pipeline stage configuration in Crelate
We configure Crelate's pipeline builder to match the Talent Genie stage sequence. This includes creating pipeline stages in the correct order, naming them to match the source system (or a customer-approved rename if the source names are unclear), and setting any stage-specific actions or requirements. Pipeline configuration is deployed to the production Crelate environment before candidate records are imported so that stage assignments land correctly on first insert.
Production migration in dependency order
We run production migration in record-dependency order: Crelate Users (validated against the provisioning list), Jobs (with custom job fields created first), Candidates (with social media verification flags mapped to custom fields and resume files attached), Scorecard evaluations (with criterion-to-field mapping resolved), Audit trail history (reconstructed as Tasks and Notes), and Calendar scheduling metadata (as Event records). Each phase emits a row-count reconciliation report before the next phase begins. Writes to Talent Genie are frozen during the cutover window.
Cutover, validation, and automation rebuild handoff
We run a final delta migration of any records modified during the cutover window, then enable Crelate as the system of record. We deliver a written inventory of Talent Genie automation artefacts (workflow triggers, stage-change rules, auto-assignment logic) that do not migrate as code. The customer's Crelate admin uses this inventory to rebuild equivalent automations in Crelate's workflow builder. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's recruiting team. Post-cutover calendar invites are re-sent from Crelate for any active interview events.
Platform deep dives
Talent Genie
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 Talent Genie 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
Talent Genie: Not publicly documented.
Data volume sensitivity
Talent Genie 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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