HRMS migration

Migrate from Team Engine to Crelate

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

Team Engine logo

Team Engine

Source

Crelate

Destination

Crelate logo

Compatibility

64%

9 of 14

objects map 1:1 between Team Engine and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Team Engine and Crelate serve different core use cases, which makes this migration less a direct swap and more a functional repositioning. Team Engine is a hiring and employee-communication platform built for blue-collar, mobile-first workforces—it excels at two-way SMS and WhatsApp without requiring crew members to install apps. Crelate is an ATS and recruiting CRM built for staffing agencies and in-house talent teams; it does not replicate Team Engine's mobile-worker messaging primitives. We extract Jobs, Applicants, Employees, Employee Groups, message threads, referrals, and survey responses from Team Engine's CSV export and map them into Crelate's Contact (for employees) and Candidate (for applicants) objects. Teams that need to preserve SMS/WhatsApp conversation history should plan for a parallel communication migration because Crelate does not store mobile-worker message threads natively. Workflow triggers, referral automation rules, and survey configurations are configuration, not data, and do not migrate—we deliver a written inventory for manual rebuild.

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

Team Engine logo

Team Engine

What's pushing teams away

  • Messaging organization becomes unwieldy at scale—threads are hard to manage and bulk messaging is limited, frustrating HR teams trying to reach large crews quickly.
  • Platform is purpose-built for hiring and communication; teams that need deeper HRMS features like compensation history, benefits enrollment, or org charting quickly outgrow it.
  • G2 reviews consistently flag reporting and filtering limitations—custom views and tailored reports require workarounds that slow down data-driven decisions.

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 Team Engine objects map to Crelate

Each row shows how a Team Engine 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.

Team Engine

Jobs

maps to

Crelate

Job Requisitions

1:1
Fully supported

Team Engine Jobs (title, description, location, requirements, posting status, post-date, closing date) map 1:1 to Crelate Job records. We extract job status from Team Engine's posting status field and map it to Crelate's Job Status picklist (Open, Closed, On Hold, Draft). Location fields transfer to Crelate's address fields. Active job postings with candidates in pipeline are prioritized in migration order so that candidate-to-job lookups resolve correctly.

Team Engine

Applicants

maps to

Crelate

Candidates

1:1
Fully supported

Team Engine Applicant records (name, contact info, application date, status, source, rejection reason) map 1:1 to Crelate Candidate records. We preserve the Team Engine status values (Applied, Screening, Hired, Rejected) as Crelate pipeline stages or custom picklist values. Application source attribution transfers to Crelate's Candidate Source field. Rejection reasons migrate as a custom field or note if Crelate's standard rejection field is not configured.

Team Engine

Employees

maps to

Crelate

Contacts

1:1
Mapping required

Team Engine Employee records (name, contact details, hire date, group membership) map to Crelate Contact records. We use the employee's email address as the dedupe key during import. Hire date transfers to a custom Contact field te_hire_date__c. Active employees who were previously Applicants may have duplicate records; we flag these for reconciliation to avoid duplicate Candidates when the employee record is also a past applicant.

Team Engine

Employee Groups

maps to

Crelate

Tags or Custom Fields

lossy
Mapping required

Team Engine Employee Groups (customizable by role, shift, location, or trade) have no native Crelate equivalent. We map group names to Crelate Tags on the Contact record, with each distinct group name becoming a tag value. If the customer prefers structured fields, we map group membership to a custom picklist field te_employee_group__c. Conflicts with existing Crelate tags are resolved during scoping, and group name casing is normalized to avoid tag fragmentation (e.g., 'Field Crew' vs 'field crew').

Team Engine

Messages (SMS/WhatsApp)

maps to

Crelate

Activities / Tasks

1:1
Mapping required

Team Engine message threads are organized by contact phone number, not by employee record, and do not map to a standard Crelate object natively. We reconcile each message thread to the corresponding Crelate Contact by matching the phone number. Threads linked to Applicants who were not hired are flagged for decision: create a stub Contact record or exclude message history. Each individual message becomes a Crelate Activity or Task record with the message body, timestamp, direction (inbound/outbound), and sender/recipient preserved. Teams requiring full SMS/WhatsApp preservation should plan for a parallel communication platform migration since Crelate does not store mobile-worker messaging natively.

Team Engine

Referrals

maps to

Crelate

Candidates (with custom field)

lossy
Mapping required

Team Engine Referral records track which Employee referred an Applicant and the referral status (Pending, Hired, Paid). Crelate has no native referral object, so we map referral data to the Candidate record using custom fields: te_referral_employee__c (the referring employee's name or email) and te_referral_status__c (picklist matching Team Engine values). If the referring employee is already a Crelate Contact, we create a lookup relationship. Referral bonuses and payout tracking do not migrate and must be handled separately in payroll or HR systems.

Team Engine

Surveys (Onboarding/Exit)

maps to

Crelate

Notes or Custom Fields on Contact

lossy
Mapping required

Team Engine automated onboarding and exit survey responses are extracted and mapped to the corresponding Employee Contact record in Crelate. Survey questions and configuration settings are not migratable (they are platform configuration, not data). We extract response data and transfer it as a formatted Note or as structured custom fields (e.g., te_onboarding_survey_response__c). If survey responses contain multiple questions, we normalize them to a single concatenated text field or split into individual custom fields per question during scoping.

Team Engine

Workflow Triggers

maps to

Crelate

Configuration (not migratable)

1:1
Not supported

Team Engine automated triggered messages (new hire alerts, milestone reminders, survey triggers) are platform configuration, not data records. There is no documented export for these automation rules, and Crelate's automation engine uses a different trigger model (record-based and scheduled flows). We do not migrate workflow triggers. We document which triggers are active in Team Engine, their trigger conditions, and the message content, and provide a configuration audit log so the customer's admin rebuilds them manually in Crelate's automation settings.

Team Engine

Owner

maps to

Crelate

User

1:1
Fully supported

Team Engine Owner records (the team member who owns a job, applicant, or employee) map to Crelate User records. We resolve owners by email match against the Crelate destination's User table. Any Team Engine Owner without a matching Crelate User goes to a reconciliation queue for the customer's admin to provision before record import resumes.

Team Engine

Applicant Status

maps to

Crelate

Candidate Pipeline Stage

lossy
Fully supported

Team Engine applicant status values (Applied, Screening, Interviewing, Offered, Hired, Rejected) map to Crelate pipeline stages. We configure Crelate's pipeline stages to match the Team Engine status values during migration setup, using a custom pipeline if the customer's Team Engine setup has non-standard stages. The mapping is defined in the migration specification and applied during candidate import.

Team Engine

Applicant Source

maps to

Crelate

Candidate Source

1:1
Fully supported

Team Engine captures applicant source (referral, job board, direct apply, etc.) and maps it directly to Crelate's Candidate Source field. Source values that do not exist in Crelate's picklist are added as new picklist values or mapped to an 'Other' value with the original source preserved in a custom field.

Team Engine

Employee Groups (membership)

maps to

Crelate

Contact Tags

lossy
Fully supported

Employee Group membership is a many-to-many relationship in Team Engine (one employee can belong to multiple groups). Crelate Tags support multiple tag values per Contact, so we transfer each group membership as a separate tag. Group names with special characters or spaces are normalized to valid Crelate tag format. If the customer uses Team Engine groups for shift scheduling or location assignment, these tags can be used in Crelate filters and reports for segmentation.

Team Engine

Custom Fields (Employee)

maps to

Crelate

Custom Fields on Contact

1:1
Fully supported

Team Engine custom fields on employee records map to Crelate custom fields on Contact. Custom fields that do not have a documented export in Team Engine's public API references require manual field discovery during scoping. We work with the customer's Team Engine admin to identify all active custom fields, their data types, and map them to equivalent Crelate custom field types (Text, Picklist, Date, Numeric, etc.). Field-level mapping is documented in the migration specification before import begins.

Team Engine

Custom Fields (Applicant)

maps to

Crelate

Custom Fields on Candidate

1:1
Fully supported

Team Engine custom fields on applicant records map to Crelate custom fields on Candidate. Similar to employee custom fields, applicant-level custom fields that are not well-documented require manual discovery during scoping. We flag any custom fields with unknown data types and resolve them with the customer before migration. Crelate's custom field types (Short Answer, Long Answer, Date, Numeric, Picklist, Rating) guide the type mapping from Team Engine field formats.

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.

Team Engine logo

Team Engine gotchas

High

Essential tier employee cap gates migration scope

Medium

Message threads do not map to standard employee records

Medium

Workflow triggers are configuration, not data

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

  • Message threads do not map to standard Crelate objects

    Team Engine organizes SMS/WhatsApp conversations by contact phone number, not by employee record. Crelate does not have a native SMS or WhatsApp messaging object. We reconcile each message thread to a Crelate Contact by phone number match and create Activity or Task records for message content. Threads linked to Applicants who were not hired—people without a corresponding Contact record—require a decision: create a stub Contact record or exclude message history. Teams expecting Crelate to replicate Team Engine's two-way texting UI will not find it; communication logging in Crelate is structured activity tracking, not a messaging thread interface.

  • Workflow triggers and automated message rules do not migrate

    Team Engine automated triggered messages (new hire alerts, milestone reminders, survey triggers) are platform configuration, not data records. Crelate's automation engine uses record-triggered and scheduled flow variants that do not accept Team Engine workflow exports. We do not migrate workflow logic. We deliver a written inventory of every active Team Engine trigger with its conditions, actions, and message content, plus a configuration audit log for the customer's admin to rebuild in Crelate's automation settings. Referral automation and survey trigger logic must be rebuilt manually.

  • Employee-to-Applicant deduplication requires pre-migration cleanup

    Team Engine tracks Employees and Applicants as separate objects, but an individual can exist as both: an Applicant who was hired becomes an Employee. When both records exist, they create duplicate Contacts in Crelate if not resolved before import. We identify records where the same person appears as both Applicant and Employee (matched by email or phone), flag them for the customer's review, and collapse them into a single Crelate Contact with both application history and employee data preserved. This deduplication step adds time to scoping but prevents duplicate record clutter in Crelate.

  • Employee Groups map to tags with potential naming conflicts

    Team Engine Employee Groups use custom naming conventions per organization (e.g., 'Field Crew Alpha', 'HQ Day Shift', 'Sub-Contractors'). These map to Crelate Tags, which are untyped string values without a predefined vocabulary. We normalize group names to valid tag format (lowercase, spaces replaced with hyphens) but cannot enforce naming consistency across a migration. Tag conflicts (duplicate tags with different casing or spelling) are flagged for the customer's admin to resolve post-migration. If the customer uses groups for compliance or regulatory classification, we recommend converting group membership to structured custom picklist fields rather than tags.

  • Referral tracking has no native Crelate object

    Team Engine's referral tracking (which employee referred which applicant, referral status, and any bonus tracking) has no native equivalent in Crelate's object model. We map referral data to custom fields on the Candidate record, but referral bonus payouts, referral source attribution for analytics, and referral program management require manual configuration in Crelate or a separate HR system. If the customer relies heavily on referral-driven hiring, we recommend scoping a referral program setup as a post-migration task rather than assuming the migrated data alone will support the existing referral workflow.

Migration approach

Six steps for a successful Team Engine to Crelate data migration

  1. Discovery and export audit

    We audit the source Team Engine account to catalog all Jobs (active and closed), Applicants (with status and source), Employees (with hire date and group membership), message threads (volume and date range), referrals (active and historical), and survey response exports. We confirm the export format (CSV from Team Engine's built-in export), identify custom fields through manual discovery with the customer's Team Engine admin, and assess the volume of message threads requiring reconciliation. The discovery output is a written migration scope, a record count by object, and a list of fields requiring manual mapping.

  2. Employee-Applicant deduplication and group naming normalization

    We run a pre-migration deduplication pass to identify individuals who exist as both an Applicant and an Employee record in Team Engine (matched by email or phone). We present the deduplication list to the customer's HR admin for resolution: collapse into a single Contact with both application history and employee data, or keep separate records. We also normalize Employee Group names to valid Crelate tag format and flag any group names with special characters, duplicate casing, or ambiguous naming that could create tag fragmentation. This step happens before schema setup in Crelate.

  3. Crelate schema setup and pipeline configuration

    We configure Crelate's object schema before any data import. This includes creating custom fields on Contact (te_hire_date__c, te_employee_group__c, te_referral_employee__c, te_referral_status__c) and on Candidate (te_referral_employee__c, te_referral_status__c, te_onboarding_survey_response__c) to match Team Engine's custom field inventory. We configure the candidate pipeline stages to match Team Engine's applicant status values. If referral data or survey responses require structured custom fields rather than notes, we define picklist values and field types here. Crelate schema setup is performed in a Crelate sandbox or trial environment first for validation.

  4. Test migration and reconciliation

    We run a full test migration into a Crelate test environment using production-like data volume. The customer's HR and recruiting leads reconcile record counts (Jobs in, Candidates in, Contacts in, Activities in), spot-check 25-50 random records against the Team Engine source (name spelling, hire date accuracy, group membership, referral attribution), and sign off the mapping before production migration begins. Any field mapping corrections, custom field type adjustments, or pipeline stage configuration changes happen here. We do not proceed to production until the test migration is reconciled and signed off.

  5. Owner reconciliation and user provisioning

    We extract every distinct Team Engine Owner referenced on Jobs, Applicants, Employees, and message threads and match by email against the Crelate destination's User table. Owners without a matching Crelate User go to a reconciliation queue. The customer's Crelate admin provisions any missing Users (active or inactive depending on whether the original Team Engine user is still active). Migration cannot proceed past this step because OwnerId references are required on most standard Crelate records. If Team Engine has Owners without email addresses, we flag them for manual assignment in Crelate before import.

  6. Production migration in dependency order

    We run production migration in record-dependency order: Jobs (no dependencies), Candidates (with source and status mapped, job lookup resolved), Contacts (with hire date and group membership, deduplication applied, owner resolved), Activities (message threads linked to Contacts by phone number, Activities linked to Candidates where applicable), Referrals (custom fields on Candidate). Each phase emits a row-count reconciliation report before the next phase begins. Workflow trigger configuration is documented separately and delivered as a written handoff document for manual rebuild in Crelate's automation settings.

  7. Cutover, validation, and automation rebuild handoff

    We freeze Team Engine 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 and Trigger Inventory document to the customer's admin team, listing every active automated message rule with its trigger conditions, message content, and recommended Crelate automation equivalent. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Team Engine workflow triggers as Crelate automation rules inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Team Engine logo

Team Engine

Source

Strengths

  • Two-way SMS and WhatsApp communication without requiring crew members to install apps.
  • Multi-language support including Spanish out of the box—essential for mobile, multilingual workforces.
  • Automated onboarding and exit surveys reduce manual HR tasks for seasonal teams.
  • Referral tracking built into the platform encourages employee-driven recruiting.
  • Pricing includes full feature suite on one plan; scales by headcount, not by feature tier.

Weaknesses

  • Reporting and filtering customization are limited, frustrating data-driven HR teams.
  • Messaging organization is poor at scale—no bulk messaging and threads are hard to manage.
  • Not a full HRMS—lacks compensation history, benefits enrollment, performance reviews, and detailed org charting.
  • Custom fields are not well-documented in public-facing API references; mapping requires manual discovery.
  • Customer count is relatively small (57 G2 reviews), suggesting limited enterprise-grade maturity.
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. 2 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 Team Engine and Crelate.

  • Object compatibility

    B

    2 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

    Team Engine: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Team Engine 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 Team Engine to Crelate data migrations

Answers to the questions buyers ask most during Team Engine 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 Applicants and 2,000 Employees with clean CSV exports and straightforward Employee Group naming. Migrations with large message thread histories (over 100,000 individual messages), complex Employee Group naming conventions requiring manual mapping review, or active referral attribution chains move to six to ten weeks because of thread-to-contact reconciliation, deduplication decisions, and survey response normalization. Crelate's own migration documentation cites one to three weeks for standard ATS data; the Team Engine migration typically adds time because of the communication thread reconciliation and group name normalization steps.

Adjacent paths

Related migrations to explore

Ready when you are

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