HRMS migration

Migrate from PeopleStrong to Crelate

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

PeopleStrong logo

PeopleStrong

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between PeopleStrong and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from PeopleStrong to Crelate is a scoped recruitment-module migration, not a full HCM export. PeopleStrong is an enterprise hire-to-exit HCM platform with integrated payroll, attendance, and performance management; Crelate is an ATS and recruiting CRM purpose-built for executive search, direct placement, and in-house talent acquisition. The only clean object overlap is Talent Acquisition data: candidate profiles, job applications, interview scores, and offer letters. Core HR objects (Employees, Payroll History, Attendance, Leave Balances) have no equivalent in Crelate and are flagged during scoping as out-of-scope. We sequence candidate migration first with resume files fetched as a separate batch to avoid API timeout on large file volumes, resolve stage-name mapping between the two platforms, and deliver a written inventory of any PeopleStrong workflows, sequences, or automation logic that the customer's admin must rebuild in Crelate's workflow builder 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

PeopleStrong logo

PeopleStrong

What's pushing teams away

  • Hidden module pricing and per-module licensing create billing surprises when organizations expand beyond initial scope — customers report modules that do not integrate with each other.
  • Payroll processing times are a recurring frustration, with customers describing multi-day turnaround that rivals competitors who complete the same run in hours.
  • Slow support responsiveness, including ticket queues with 3-day SLAs for critical payroll issues, drives organizations to platforms with better customer service reputation.
  • Lengthy implementation timelines and poor planning during onboarding create operational disruption that extends far beyond the go-live date.
  • Dated web interface and cluttered UX push employees toward shadow IT or mobile-only usage, reducing the value of the full platform investment.

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 PeopleStrong objects map to Crelate

Each row shows how a PeopleStrong 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.

PeopleStrong

Candidate (Talent Acquisition)

maps to

Crelate

Person

1:1
Fully supported

PeopleStrong candidate records (from the Talent Acquisition module) map to Crelate Person records. The mapping includes full name fields, email address, phone number, current title, current company, location, source attribution, and stage history. PeopleStrong stores stage history as a timeline with stage names and transition timestamps; we preserve the full stage progression in Crelate's Activity timeline linked to the Person. Resume data is extracted from the PeopleStrong candidate attachment and uploaded to Crelate as a document linked to the Person record.

PeopleStrong

Job Application

maps to

Crelate

Activity (on Job Person)

1:1
Fully supported

PeopleStrong applications (candidate applied to a job requisition) map to Crelate Activity records of type Job Person, which represent the relationship between a Person and a Job. The application date, submission method, and referred-by attribution migrate as Activity metadata. The PeopleStrong application stage maps to a corresponding Crelate pipeline stage; we perform stage-name mapping during scoping because stage names are configurable per organization in both platforms.

PeopleStrong

Job Requisition

maps to

Crelate

Job

1:1
Fully supported

PeopleStrong job requisitions with title, department, location, employment type, and description migrate to Crelate Job records. The requisition status (open, filled, on hold, cancelled) maps to Crelate Job status. PeopleStrong stores job owner and hiring manager as separate fields; we map these to Crelate's assigned User on the Job record. If the PeopleStrong requisition links to an internal employee record (internal posting), we flag this for manual review because Crelate does not have an Employee object.

PeopleStrong

Interview Score

maps to

Crelate

Activity (Custom Type)

lossy
Fully supported

PeopleStrong interview scorecards (evaluator, rating, comments, date) migrate to Crelate Activity records of a configured type such as Interview or Evaluation. Crelate supports custom Activity types and freeform notes fields. We map PeopleStrong's structured score fields (overall rating, criteria ratings) to Crelate's freeform Activity notes field, and include the evaluator name and interview date in the Activity metadata. If the customer requires structured scoring fields in Crelate, we document the configuration needed post-migration.

PeopleStrong

Offer Letter

maps to

Crelate

Activity (Offer) + Document

1:1
Fully supported

PeopleStrong offer letters stored as candidate attachments migrate to Crelate as Activity records of type Offer linked to the Person and Job, with the offer letter PDF attached as a document. Offer details (salary, start date, offer status) are mapped to Activity metadata fields or stored as structured notes depending on what PeopleStrong exposes via API. We flag that offer data in PeopleStrong may also be stored as fields on the application record rather than as separate objects; we enumerate these during schema discovery.

PeopleStrong

Recruiter Assignment

maps to

Crelate

User (on Job and Activity)

1:1
Fully supported

PeopleStrong recruiter assignments on requisitions and applications map to Crelate User assignments on Job and Activity records. We resolve by matching PeopleStrong recruiter email against Crelate User email. Any PeopleStrong recruiter without a matching Crelate User is held in a reconciliation queue for the customer's admin to provision the User before Activity import begins.

PeopleStrong

Candidate Source

maps to

Crelate

Source (on Person)

lossy
Fully supported

PeopleStrong tracks candidate sourcing channels (direct, referral, job board, agency) as a property on the candidate record. We map these to Crelate's Source field on Person. Custom source values created in PeopleStrong are preserved as freeform text if no matching Crelate Source option exists, or remapped to the nearest Crelate Source value during scoping.

PeopleStrong

Departments and Locations

maps to

Crelate

Department and Location (on Job)

1:1
Fully supported

PeopleStrong organizational structure entities (departments, cost centers, locations) are referenced by job requisitions. These migrate as lookup tables into Crelate's Department and Location objects, then resolved by reference during Job import. We preserve the full hierarchical structure from PeopleStrong in a Crelate configuration document so the customer's admin can rebuild the hierarchy in Crelate Settings if needed.

PeopleStrong

Job Titles and Grades

maps to

Crelate

Job Title (on Person)

1:1
Fully supported

PeopleStrong job title and grade lookups used in requisitions and candidate records migrate to Crelate's Job Title field on Person. We treat these as value maps migrated before Person records so that the lookup reference is satisfied at import time. Grade bands and compensation ranges stored in PeopleStrong are flagged as out-of-scope for Crelate because it has no compensation object.

PeopleStrong

Talent Pool / Tag

maps to

Crelate

Tag or List (on Person)

lossy
Fully supported

PeopleStrong candidate tags (used to categorize talent pools, skill tags, or status flags) map to Crelate Tags on Person records. We perform a schema discovery step during scoping to enumerate all active tag values and map them to Crelate Tags. The customer chooses between Crelate's native Tags or Lists during scoping based on how they intend to use the segmented groups.

PeopleStrong

Resume File

maps to

Crelate

Document (on Person)

1:1
Fully supported

PeopleStrong resume documents are stored as binary attachments linked to candidate IDs. They cannot be retrieved in the same API call as candidate record metadata. We separate the migration into a record phase and a document phase. The record phase migrates candidate profiles and structured fields. The document phase runs as a secondary batch, fetching each resume file by candidate ID and uploading to the corresponding Crelate Person record. Large file volumes (over 5,000 documents) are chunked to avoid timeout errors.

PeopleStrong

Employee Record

maps to

Crelate

(out of scope)

lossy
Fully supported

PeopleStrong Employee records (the core HCM object) have no equivalent destination in Crelate, which is a recruiting platform, not an HRMS. Employee fields (personal details, employment status, department, manager assignment, hire and termination dates) cannot migrate to Crelate Person because Crelate Person is a candidate and contact record, not an HR employee record. We flag all Employee object data as out-of-scope and recommend the customer evaluate a separate HRMS migration if employee data needs a destination platform.

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.

PeopleStrong logo

PeopleStrong gotchas

High

Per-module subscription creates partial data availability

Medium

Payroll data spans payrun cycles requiring careful date-range scoping

Medium

Custom field schemas vary by organization and are not consistently API-accessible

Low

Document attachments require separate file-level API retrieval after record export

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

  • Core HCM objects have no Crelate destination

    PeopleStrong is an enterprise HCM suite; its primary objects are Employees, Payroll History, Attendance Records, Leave Balances, and Performance Reviews. Crelate is an ATS and recruiting CRM with no equivalent objects for these data types. Payroll data, attendance logs, leave balances, and performance reviews cannot migrate into Crelate and are out of scope for this pair. We flag these as out-of-scope during scoping and document them in the migration inventory so the customer understands what is not moving before the engagement begins.

  • Per-module subscription determines what recruitment data exists

    PeopleStrong licenses modules individually. An organization without the Talent Acquisition module has no candidate records, job requisitions, or interview scorecards to export. We probe the active module list during scoping and explicitly scope migration targets to only those modules the customer actively uses. Skipping this step can lead to customer complaints that expected candidate data is missing post-migration because it never existed in their PeopleStrong instance.

  • Resume attachments require a separate file-phase batch

    PeopleStrong stores candidate resumes as binary attachments linked to candidate IDs. They cannot be retrieved in the same API call as the candidate record metadata, and fetching thousands of documents sequentially can trigger rate limiting. We separate the migration into a record phase and a document phase, running the document phase as a secondary batch with exponential backoff and chunking to avoid API timeout errors. Customers with over 10,000 resume files should expect the document phase to extend the overall timeline.

  • Custom field schemas vary by PeopleStrong tenant

    Organizations frequently add custom fields to candidate records in PeopleStrong for tracking data unique to their business. These custom fields are not consistently documented in the public API and may require UI-based export or separate API calls per field. We perform a schema discovery phase during scoping to enumerate all active custom fields and their data types before building the migration mapping. Crelate's custom field configuration uses its own field builder, so some PeopleStrong field types (multi-select, dependent picklists) may require post-migration configuration adjustments.

  • Workflows, sequences, and automation logic do not migrate

    PeopleStrong recruitment workflows (approval routing, stage automation, notification triggers) and any sequences used for candidate engagement are not transferred as code during migration. Crelate has its own workflow builder and automation capabilities that differ structurally from PeopleStrong's automation model. We deliver a written inventory of every active PeopleStrong recruitment workflow and sequence with its trigger, conditions, and actions for the customer's admin to rebuild in Crelate's workflow builder post-migration.

Migration approach

Six steps for a successful PeopleStrong to Crelate data migration

  1. Module scoping and active data audit

    We audit the source PeopleStrong instance for active module subscriptions, focusing exclusively on the Talent Acquisition module for this migration. We enumerate all candidate records, job requisitions, applications, interview scores, and offer letters available in the live instance. We also identify the candidate attachment count and total file size to plan the document-phase batch. The scoping output is a written migration scope document listing all in-scope objects, record counts, and any data flagged as out-of-scope because no Crelate destination exists.

  2. Schema discovery and field mapping

    We perform a schema discovery phase to enumerate all standard and custom fields on PeopleStrong candidate, application, job, and activity records. We map each field to its corresponding Crelate field type and identify any PeopleStrong custom fields that have no direct Crelate equivalent. We also map PeopleStrong stage names to Crelate pipeline stages, consulting with the customer's recruiting lead on any ambiguous mappings. The output is a field mapping document used as the specification for the migration build.

  3. Crelate configuration pre-work

    We configure Crelate before any data import begins. This includes setting up pipeline stages in the Jobs section to match the mapped PeopleStrong stage names, configuring custom fields on Person and Job objects to receive mapped PeopleStrong data, creating Department and Location lookup tables, and provisioning Crelate User accounts for any PeopleStrong recruiters that need matching. We do this in a Crelate test environment first and validate the configuration before production import.

  4. Candidate and requisition record migration

    We migrate candidate records (Person in Crelate) first, then job requisitions (Job in Crelate), then applications and activities linked to the correct Person and Job records by ID. Recruiter assignments are resolved by email match against Crelate User accounts, with unresolved assignments held in a reconciliation queue. Stage mappings are applied during the application import phase. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Document phase: resume and offer letter batch

    After all record phases are validated, we execute the document phase as a secondary batch. We fetch each candidate's resume attachment from PeopleStrong by candidate ID, parse the filename and MIME type, and upload to the corresponding Crelate Person record. Offer letter PDFs are uploaded as Activity documents. Large batches are chunked with exponential backoff to handle PeopleStrong API rate limits without triggering timeout errors.

  6. Cutover, validation, and automation handoff

    We freeze PeopleStrong recruitment module writes during cutover, run a final delta migration of any records modified during the migration window, then mark Crelate as the system of record. We perform a spot-check reconciliation on 25-50 random candidate records against the source, validate that all applications are linked to the correct Job and Person records, and confirm that document attachments are present on Person records. We deliver the workflow and sequence inventory document to the customer's recruiting admin for rebuild in Crelate. We support a one-week hypercare window for reconciliation issues and do not rebuild PeopleStrong workflows as Crelate automations inside the migration scope.

Platform deep dives

Context on both ends of the pair

PeopleStrong logo

PeopleStrong

Source

Strengths

  • Full employee lifecycle coverage from hire through exit on a single cloud platform.
  • AI-powered recruitment tools including automated sourcing and chatbot-driven employee queries.
  • Integrated payroll with attendance and leave management reduces reconciliation effort.
  • Enterprise security with ISO certification, GDPR compliance, and quarterly VAPT on AWS and Google Cloud.
  • Mobile-first design with high user ratings for distributed and field workforces.

Weaknesses

  • Lengthy and poorly planned implementations lead to extended operational disruption.
  • Support responsiveness is a known pain point, particularly for critical payroll issues.
  • Per-module pricing creates billing surprises when organizations expand beyond initial scope.
  • Dated web interface compared to newer HCM competitors in the mid-market segment.
  • Module integration gaps require manual workarounds for cross-module workflows.
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 PeopleStrong 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

    PeopleStrong: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your PeopleStrong 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 PeopleStrong to Crelate data migrations

Answers to the questions buyers ask most during PeopleStrong to Crelate migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for organizations with under 10,000 candidate records, fewer than 5,000 resume attachments, and a single active requisition pipeline. Migrations with large resume attachment batches (over 5,000 files), multiple pipeline configurations, or complex custom field schemas move to six to ten weeks because of the document-phase batch time and Crelate configuration validation. PeopleStrong implementations that span multiple active modules may require additional scoping time before migration begins.

Adjacent paths

Related migrations to explore

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