HRMS migration
Field-level mapping, validation, and rollback between TalentLyft and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
TalentLyft
Source
Crelate
Destination
Compatibility
9 of 13
objects map 1:1 between TalentLyft and Crelate.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from TalentLyft to Crelate is an ATS-to-agency-ATS migration where the structural difference is how applications are modeled. TalentLyft treats Applications as junction records linking a Candidate to a Job with a Pipeline Stage assignment. Crelate uses a Contact-centric model where jobs are requisitions and candidate interactions are Activity entries rather than standalone application records. We resolve that model gap by mapping each TalentLyft Application to a Crelate Activity (with type = Application) linked to both the Contact and the Job, preserving pipeline stage, status, and any application-level custom fields as structured data inside the Activity record. Talent Pools become Crelate Tags, education and experience sub-records migrate as nested contact JSON, and pipeline stages are configured as Crelate picklist values at the org level before any data import begins. Automation rules and email templates are not migrated; we deliver a written inventory of every active automation 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 TalentLyft 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.
TalentLyft
Candidate
Crelate
Contact
1:1TalentLyft Candidates map directly to Crelate Contacts. The Candidate's email address becomes the Crelate Contact email field used as the dedupe key during import. First name, last name, phone, address, and source channel migrate directly. Any TalentLyft Candidate-level custom fields are mapped to Crelate Contact custom fields by retrieving field definitions via GET /v2/custom_fields before migration and cross-referencing against export values. Deduplication resolves by email match first; name plus phone as a secondary key for records without email.
TalentLyft
Job
Crelate
Job
1:1TalentLyft Jobs map directly to Crelate Jobs. Job title, description, location, department, and status migrate as-is. The Job's assigned Pipeline ID is resolved to a Crelate pipeline configuration that is set up before Job import. Jobs must be imported before Applications so that the Job lookup on each Activity record is satisfied at the moment of insert.
TalentLyft
Application
Crelate
Activity (type = Application)
1:1TalentLyft Applications are junction records linking a Candidate to a Job with a Pipeline Stage assignment and optional Application-level custom fields. Crelate has no standalone Application object; instead, applications are modeled as Activity records with type = Application linked to the Contact (from the Candidate) and the Job. We map Application.pipeline_stage to Activity.status and carry any Application-level custom fields as structured JSON data inside the Activity record. The Activity is created after both the Contact and Job are staged.
TalentLyft
Talent Pool
Crelate
Tag (on Contact)
1:1TalentLyft Talent Pools are named curated collections of Candidates for future openings. Crelate has no named-pool object; the equivalent functionality is implemented using Tags on Contacts. We create a Tag category matching each TalentLyft Talent Pool name and apply the tag to every Contact that was a member of that pool. Tags are specified in the Crelate API as a JSON object keyed by category name. Customers using multiple Talent Pools per candidate get multiple tags applied.
TalentLyft
Custom Fields (Candidate-level)
Crelate
Custom Fields (Contact-level)
lossyTalentLyft Candidate-level custom fields vary per account and are entirely user-defined. We retrieve field definitions via GET /v2/custom_fields (Candidate endpoint) before migration to get field IDs, labels, and types. The corresponding Crelate Contact custom fields are created before migration begins. For fields with more than 10 values or complex types (multi-select, date), we run explicit field-by-field mapping sessions with the customer's admin. Values migrate as typed data matched to the Crelate field type.
TalentLyft
Custom Fields (Application-level)
Crelate
Custom Fields (Activity-level)
lossyApplication-level custom fields in TalentLyft store per-application metadata such as interview scores, offer details, or compliance flags. These map to Crelate Activity custom fields. The same field-definition retrieval step applies: we call GET /v2/custom_fields (Application endpoint) to build the typed mapping table before migration. Application-level custom fields are carried inside the Activity JSON structure at import time.
TalentLyft
Education
Crelate
Contact sub-record (Education)
1:1Education records in TalentLyft are sub-records on an Application, containing degree, institution, field of study, and dates. The TalentLyft API exposes dedicated endpoints for create, update, and delete on education entries per Application. Migration requires a two-pass approach: Applications are first staged to resolve parent-record IDs, then sub-records are pulled using the Application ID in the path and attached to the corresponding Crelate Contact. Education maps to Crelate's Contact education sub-record structure.
TalentLyft
Experience
Crelate
Contact sub-record (Experience)
1:1Experience records (work history) in TalentLyft are sub-records on an Application with employer, title, dates, and description. Same two-pass approach applies: Applications are staged first, then experience sub-records are pulled and attached to the corresponding Crelate Contact as experience entries. The API supports CRUD on experience entries per Application. Employer and job title map directly; date ranges preserve as start and end date fields.
TalentLyft
Pipeline
Crelate
Pipeline (org-level configuration)
lossyTalentLyft Pipelines define ordered stage sets assigned per Job. Crelate's pipeline stages are org-level picklist values shared across all Jobs rather than per-job. We configure the Crelate pipeline stage set during pre-migration setup, mapping each TalentLyft stage name and probability to a Crelate equivalent. Stage order is preserved in the picklist. This is an upfront configuration step; no data import depends on pipeline configuration beyond the Job-level reference.
TalentLyft
Pipeline Stage
Crelate
Pipeline Stage
lossyIndividual pipeline stages in TalentLyft (e.g., Applied, Phone Screen, Interview, Offer) map to Crelate picklist values within the configured pipeline stage set. Stage probability percentages migrate to the corresponding Crelate stage probability values. Stage names are mapped one-to-one where naming is consistent; synonym consolidation (e.g., 'Screening' and 'Phone Screen') is resolved during scoping with the customer's input.
TalentLyft
Department
Crelate
Organization
1:1TalentLyft Departments are organizational units used to categorize Jobs. The API exposes GET/POST for departments. We migrate department names and IDs and map them to Crelate Organization records, or link them to Jobs as a custom field if the customer's Crelate org does not use Organizations actively. The mapping decision is confirmed during scoping.
TalentLyft
Location (Site)
Crelate
Location
1:1Locations in TalentLyft specify where a Job is based. The API exposes GET /v2/codes/locations. We migrate location records and link them to Crelate Jobs at the destination. Location names and addresses map directly to Crelate's location fields on Job records.
TalentLyft
User (Team Member)
Crelate
User
1:1TalentLyft User accounts represent hiring team members (recruiters, hiring managers). The API lists users with roles and assignments. Migration resolves TalentLyft user emails to Crelate User records by email match. Users without a matching Crelate account go to a reconciliation queue for the customer's admin to provision before record import resumes, because OwnerId references are required on most Crelate objects.
| TalentLyft | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Contact1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Application | Activity (type = Application)1:1 | Fully supported | |
| Talent Pool | Tag (on Contact)1:1 | Fully supported | |
| Custom Fields (Candidate-level) | Custom Fields (Contact-level)lossy | Mapping required | |
| Custom Fields (Application-level) | Custom Fields (Activity-level)lossy | Mapping required | |
| Education | Contact sub-record (Education)1:1 | Fully supported | |
| Experience | Contact sub-record (Experience)1:1 | Fully supported | |
| Pipeline | Pipeline (org-level configuration)lossy | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Department | Organization1:1 | Fully supported | |
| Location (Site) | Location1:1 | Fully supported | |
| User (Team Member) | User1:1 | 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.
TalentLyft gotchas
No bulk export API forces chunked migration
Post-export activity is not migrated
Custom field schema is per-account with no export schema endpoint
Automation rules and email templates not portable
Application-level education and experience require parent-record resolution
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 data audit
We audit the source TalentLyft account across candidates, jobs, applications, pipelines, custom fields (Candidate and Application level), Talent Pools, users, departments, and locations. We also identify active automation rules and email templates for the rebuild inventory. For the destination, we confirm the Crelate edition (Business, Business Plus, or Enterprise) and verify API access is enabled for the migration user. The discovery output is a written scope document listing record counts per object, any known data quality issues, and the initial field mapping spreadsheet.
Schema design and field mapping
We design the Crelate destination schema before any data moves. This includes creating Contact custom fields to receive TalentLyft Candidate custom fields, creating Activity custom fields for Application-level data, configuring the pipeline stage picklist to match the TalentLyft stage set, and designing the Talent Pool-to-Tag translation table. For Crelate Jobs, we map department and location references. Each mapping is confirmed with the customer's admin in a field-by-field walkthrough for custom fields exceeding ten entries. The mapping spreadsheet is versioned and locked before test migration begins.
Test migration and reconciliation
We run a full migration into the Crelate environment using production-like data volume. The customer's team reconciles record counts (Contacts in vs Candidates sourced, Jobs in vs Jobs sourced, Activities in vs Applications sourced, Tags applied vs Talent Pool memberships), spot-checks 25-50 random records against TalentLyft source data, and reviews tag assignment accuracy. Any mapping corrections are applied to the migration scripts and the test is re-run. Sign-off from the customer's admin is required before production migration begins.
User provisioning and owner reconciliation
We extract every distinct TalentLyft user referenced on candidate, job, and application records and match by email against the Crelate destination User table. Users without a matching Crelate account go to a reconciliation queue for the customer's admin to provision before record import resumes. This step is a prerequisite for the production migration because OwnerId references are required on most Crelate objects.
Production migration in dependency order
We run production migration in record-dependency order: Contacts (from Candidates, with custom fields resolved), Users (validated against Crelate User table), Jobs (with department and location resolved), Pipeline stage configuration (applied at org level before Application import), Activities (from Applications, linked to Contact and Job, with stage status and custom fields carried inside Activity data), Talent Pool memberships (Tags applied to Contact records), Education sub-records (attached to Contact after parent Contact is confirmed), Experience sub-records (same two-pass approach as education). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze TalentLyft 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 automation and email template inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. Automation rebuilds (Crelate's Automation and Sequencing features) are handled by the customer's admin or a Crelate implementation partner and are outside the migration scope.
Platform deep dives
TalentLyft
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 TalentLyft 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
TalentLyft: Not publicly documented in available documentation.
Data volume sensitivity
TalentLyft 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
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