HRMS migration

Migrate from Jobsoid to Crelate

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

Jobsoid logo

Jobsoid

Source

Crelate

Destination

Crelate logo

Compatibility

77%

10 of 13

objects map 1:1 between Jobsoid and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Jobsoid to Crelate is an ATS-to-ATS migration with structural alignment at the object level but meaningful differences in how each platform handles pipeline stages, candidate-activity export, and organizational lookup values. Jobsoid stores candidates as the primary record with multi-job assignments and an Activity block embedded in the candidate profile; Crelate uses a unified People object and surfaces activities as independently linked records. We extract candidate profiles from Jobsoid's CSV export, decompose the embedded activity history into a normalized engagement table, map each Jobsoid pipeline stage to a Crelate workflow stage, and import via Crelate's CSV endpoint. Jobsoid's August 2025 announcement that it is evolving into Onstro — a multi-product connected environment spanning ATS, Helpdesk, and Projects — creates a platform-direction concern that independent recruiting teams and small agencies cite as a reason to evaluate alternatives now. Crelate's Business plan at $119 per user per month provides ATS, CRM, and analytics in one platform, which eliminates the need for a separate candidate relationship tool that Jobsoid-only shops often maintain.

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

Jobsoid logo

Jobsoid

What's pushing teams away

  • Reporting and analytics are considered weak compared to competitors, with users noting it lags behind tools like BambooHR for data-driven hiring insights.
  • Pricing increases at higher tiers, making Jobsoid less cost-competitive against lower-priced alternatives like JuggleHire at $19/month.
  • Platform evolution announcements create uncertainty about future direction, prompting teams to evaluate alternative ATS platforms for long-term stability.
  • Limited advanced features for large-scale recruiting agencies managing high-volume pipelines across multiple clients simultaneously.

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 Jobsoid objects map to Crelate

Each row shows how a Jobsoid 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.

Jobsoid

Candidate

maps to

Crelate

Person (People)

1:1
Fully supported

Jobsoid Candidate records map to Crelate Person (People) objects. The Jobsoid candidate profile fields (name, email, phone, current title, current company, LinkedIn URL, source, rating, tags) map to corresponding Crelate Person fields. We preserve the Jobsoid candidate's primary job assignment and any secondary job assignments as Crelate Job Order links on the Person record. Jobsoid's multi-job assignment per candidate requires us to create multiple Person-to-Job-Order relationship records during import.

Jobsoid

Job Opening

maps to

Crelate

Job Order

1:1
Fully supported

Jobsoid Job records map directly to Crelate Job Order. We extract job status (Open, Closed, On Hold, Draft), job title, job description, employment type, remote/hybrid/onsite designation, and the associated department and location. Jobsoid's custom job fields (configured via Settings > Job Openings > Custom Fields) map to Crelate custom fields on the Job Order object. The Jobsoid Job API (exposed publicly) allows us to pull published job data without requiring CSV export for this object type.

Jobsoid

Location

maps to

Crelate

Location

1:1
Fully supported

Jobsoid Location lookup values map to Crelate Location records. Both platforms expose locations at the organization level. Jobsoid auto-resolves addresses via Google Maps; we carry over the full location record (city, state, country, address) and link them to the corresponding Crelate Job Orders during import. If Crelate's destination account uses a different location naming convention, we apply the agreed location mapping during the transform step.

Jobsoid

Department

maps to

Crelate

Category

1:1
Fully supported

Jobsoid Departments map to Crelate Categories, which serve as the organizational classification for Job Orders. Both platforms expose departments at the organization level via lookup API. We migrate the full department list and reassign all affected Job Orders to their corresponding Crelate Category during import. Division and Function lookup values from Jobsoid map to Crelate custom picklist fields on Job Order where no native equivalent exists.

Jobsoid

Division

maps to

Crelate

Custom Field (Division)

lossy
Fully supported

Jobsoid Divisions represent top-level organizational units and are exposed as lookup values. We map Division values to a custom picklist or multi-select field on Crelate's Job Order object, depending on how Crelate is configured in the destination account. The customer chooses between a flat picklist or a hierarchical representation during scoping.

Jobsoid

Function

maps to

Crelate

Custom Field (Function)

lossy
Fully supported

Jobsoid Functions categorize job types (e.g., Engineering, Sales, Operations). We map Function values to a Crelate custom picklist field on Job Order. This field does not exist by default in Crelate; we create it during the destination schema configuration step if the customer's Jobsoid account uses Functions to classify roles.

Jobsoid

Candidate Source

maps to

Crelate

Source

1:1
Fully supported

Jobsoid Candidate Source values (referral, job board, career site, direct application, etc.) map to Crelate Source values on the Person record. Source is a field on the candidate/Person rather than a standalone object in either platform. We map source values field-to-field but flag any unrecognised source labels in Jobsoid that have no matching Crelate value; these require the customer to create a corresponding Crelate source value or map to a default 'Other' value.

Jobsoid

Activity

maps to

Crelate

Activity (Task / Event)

1:1
Fully supported

Jobsoid Activities (interview events, emails, notes, call records) are embedded in the candidate profile UI but are not exposed as a separate API resource. We extract activity text and timestamps from the candidate profile export block and decompose them into a normalized engagement table. We then map each engagement type to the corresponding Crelate Activity: interviews map to Events, emails and notes map to Tasks, and call records map to Tasks with a Call subtype. We preserve original timestamps and link each activity to the corresponding Person record via the WhoId relationship. The customer may also export candidate profiles as PDFs before migration to capture full activity history as a backup record.

Jobsoid

Pipeline Stage

maps to

Crelate

Workflow Stage

lossy
Fully supported

Jobsoid Pipelines use fully customizable stage names and counts per job or organization with no standard set. Crelate uses configurable Workflow stages tied to a workflow model. We work with the customer during scoping to define a stage mapping table: each Jobsoid pipeline stage maps to a corresponding Crelate Workflow stage. If Jobsoid has more stages than Crelate's configured workflow, we consolidate by mapping multiple source stages to a single destination stage based on the customer's process logic. This mapping is applied as a transform rule before CSV import into Crelate.

Jobsoid

Attachment / Resume

maps to

Crelate

Resume / Attachment

1:1
Fully supported

Candidate profiles in Jobsoid contain uploaded files and resumes. We export binary attachments from Jobsoid separately from record data, maintaining the original filename and file type metadata. We re-attach each file to the corresponding Person record in Crelate during the post-record ingestion phase, using the candidate email address as the matching key. Large resume files may require chunked upload handling if Crelate's attachment limits are encountered.

Jobsoid

Custom Candidate Field

maps to

Crelate

Custom Field (Person)

1:1
Fully supported

Jobsoid allows custom fields on candidate profiles. We migrate custom field values field-to-field where destination Crelate custom fields of the same name and type exist. We pre-create any missing Crelate custom fields (with the correct field type: text, number, date, picklist, checkbox, etc.) during the destination schema configuration step before candidate data ingestion begins. Custom fields with complex logic (e.g., dependent picklists) are flagged during scoping for manual configuration review.

Jobsoid

Interview Schedule

maps to

Crelate

Event

1:1
Fully supported

Jobsoid integrates with email and calendar for interview scheduling; interview records appear as activities on the candidate profile. We extract interview dates, times, location or meeting link, interviewer name, and interview type from the candidate profile export block and map them to Crelate Event records. Calendar invite links (Google Meet, Zoom, Microsoft Teams) are preserved as the Event Location field. We do not migrate calendar invites as transferable objects; they require re-creation in the destination calendar system post-migration.

Jobsoid

Tag / Rating

maps to

Crelate

Tag / Rating

1:1
Fully supported

Jobsoid supports tags and star ratings on candidate profiles. Tags migrate to Crelate's Tag system on the Person record. Ratings migrate to a Crelate custom numeric field (Rating scale) if the destination account uses a numerical rating model, or to a custom picklist if Crelate is configured with a named rating tier. We preserve the original values and confirm the mapping with the customer during the scoping call.

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.

Jobsoid logo

Jobsoid gotchas

High

No public Candidates API endpoint for write operations

Medium

Pipeline stage names and count vary per account

Medium

Activity history granularity is not independently exportable

Low

Unlimited storage refers to file count, not retention policy

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

  • Jobsoid has no public Candidates write API

    Jobsoid exposes only Jobs and Lookup endpoints (locations, departments, divisions, functions) in its public API. There is no documented /candidates endpoint for creating or updating candidate records programmatically. We work around this by using Jobsoid's native CSV import via authenticated export, which pulls candidate records in bulk, followed by Crelate's CSV import endpoint. Crelate's Business plan includes Data Plus with Advanced Data Export and Import tooling, which supports CSV-based bulk ingestion. Teams migrating large candidate volumes (over 5,000 records) should plan for the CSV round-trip as a batch operation rather than an automated real-time sync. This is the single largest technical constraint on the migration timeline.

  • Jobsoid is evolving into Onstro with a scheduled platform transition

    Jobsoid announced in August 2025 that it is migrating its user base to Onstro, a connected environment that adds Helpdesk and Projects to the existing ATS functionality under a single account. The transition includes a login update and the introduction of free Onstro Helpdesk and Projects plans alongside the ATS. While Jobsoid confirms existing workflows and data remain unchanged, the platform direction creates uncertainty for teams that selected Jobsoid as a focused recruiting tool. Any migration planned for a Jobsoid account should be completed before the Onstro transition takes effect, and teams should audit their current data in Jobsoid before the transition window to ensure clean export availability.

  • Activity history is embedded, not independently exportable

    Jobsoid surfaces candidate activities (interview events, emails, notes, call records) within the Activity section of each candidate profile, but these are not exposed as a separate API resource. We extract activity text and timestamps from the activity block embedded in candidate profile exports or CSV exports. If activity data is critical, we recommend exporting candidate profiles as PDFs before migration to capture the full activity history as a supplemental record. We then decompose the embedded activity block into a normalized engagement table and map each entry to a Crelate Activity record during ingestion. Customers who rely heavily on interview and call history for compliance or reporting should flag this requirement during scoping.

  • Jobsoid 60-day backup retention window creates a data-loss risk

    Jobsoid markets 'unlimited cloud storage' for recruiting data, but the backup retention window is 60 days. Records deleted from the active Jobsoid account are not recoverable from Jobsoid's backups after 60 days. We flag this during migration planning: teams should complete the data extraction before any account cleanup or cancellation. We recommend that customers do not delete or archive records in Jobsoid while migration planning is underway. This risk is especially relevant for teams with older historical records that may be tempted to clean up the database before switching platforms.

  • Pipeline stage names and counts vary per Jobsoid account

    Jobsoid allows fully custom pipeline stage names and stage counts per job or organization. There is no standard set of stages across accounts. Crelate uses configurable workflow stages that are tied to a workflow model. When migrating to Crelate, if Jobsoid uses more pipeline stages than the destination Crelate workflow supports, we must consolidate by mapping multiple source stages to a single destination stage. We surface this decision to the customer during the scoping call, present the full list of Jobsoid pipeline stages in scope, and apply the agreed mapping before import. Stage consolidation decisions made during scoping are documented in the migration runbook and applied consistently across all affected Job Orders.

Migration approach

Six steps for a successful Jobsoid to Crelate data migration

  1. Discovery and data audit

    We audit the source Jobsoid account across jobs (open, closed, draft), candidate volume, active pipeline count, custom fields (on candidates and jobs), location and department structure, and candidate source values. We review the Jobsoid pipeline stage configuration to produce a complete list of unique stage names across all jobs. We also assess whether any candidate records have embedded activity blocks that require profile-export extraction. The discovery output is a written migration scope document covering record counts per object, any schema gaps, and a proposed stage consolidation table for pipeline mapping.

  2. Destination schema configuration in Crelate

    We configure the destination Crelate account before any data ingestion. This includes creating any missing custom fields on the Person object (to match Jobsoid custom candidate fields), creating a custom Department or Function picklist on Job Order if Jobsoid uses those lookup values, configuring the Locations, and defining the Workflow stages that will receive the Jobsoid pipeline data. We align the Crelate workflow stage model with the stage consolidation table agreed upon during discovery. We configure field-level settings (required fields, picklist values, default values) to match the data being migrated.

  3. Jobsoid data extraction

    We extract data from Jobsoid in dependency order. Jobs are pulled via the Jobsoid Jobs API (publicly exposed). Locations, Departments, Divisions, and Functions are pulled via the Jobsoid Lookup API. Candidate records and their embedded activity blocks are extracted via CSV export from the candidate list view; for accounts with over 2,000 candidates, we split the export into multiple batches to avoid export timeout. We extract binary attachments (resumes, uploaded files) separately from the record data and associate them with candidate records using the candidate email address as the matching key.

  4. Data transform and activity decomposition

    We transform the extracted data into Crelate-compatible import format. For candidates, we map each Jobsoid field to its Crelate equivalent on the Person object. We decompose the embedded activity block from each candidate profile into a normalized engagement table with fields for activity type, timestamp, subject, body, and associated Job Order. We apply the pipeline stage consolidation mapping to each Jobsoid pipeline, producing Crelate workflow stage values. We resolve Jobsoid owner email addresses against the destination Crelate User list for owner assignment.

  5. Test import and reconciliation

    We run a full test migration into the destination Crelate account using production-like data volume. We import in dependency order: Locations, Categories, Job Orders, Persons, Activity records, and Attachments. The customer's recruiting lead spot-checks 20-30 random Person records and 10-15 Job Orders against the source Jobsoid data, verifying field values, pipeline stage mapping, activity history completeness, and attachment linkage. Any mapping errors, missing custom fields, or stage mapping gaps are corrected in the transform scripts and the test migration is re-run. The customer signs off on the test migration before production cutover begins.

  6. Production cutover and post-migration verification

    We freeze new writes in Jobsoid during the cutover window, run a final delta extraction of any records modified since the test migration, apply the same transform pipeline, and execute the production import in Crelate. We run a row-count reconciliation across all object types against the Jobsoid source counts and surface any discrepancies exceeding a 1% variance for manual review. We re-attach binary attachments to their corresponding Person records in Crelate. We do not migrate Jobsoid workflows, automations, or email sequences; we deliver a written inventory of every active Jobsoid workflow and automation with a description of what each does, so the customer's admin can rebuild them in Crelate's workflow engine post-migration. We provide a one-week hypercare window for reconciliation issues raised by the recruiting team.

Platform deep dives

Context on both ends of the pair

Jobsoid logo

Jobsoid

Source

Strengths

  • Free starter plan covers the basics for single-recruiter hiring with no per-candidate storage limits.
  • CSV and Excel bulk import directly into candidate records works without API access for initial data loads.
  • Multi-job candidate assignment lets one candidate apply to several open roles with a designated primary position.
  • Integrated email and calendar scheduling reduces context-switching between the ATS and external communication tools.
  • 24/7 geo-redundant daily backups with 60-day retention provide reasonable disaster recovery for recruitment data.

Weaknesses

  • No public Candidates write API means bulk imports must go through the browser-based CSV import wizard, not programmatic pushes.
  • Reporting module is repeatedly flagged as underpowered for teams that need advanced hiring funnel analytics.
  • Rate limits and API quotas are not publicly documented, creating uncertainty for integrations and data exports.
  • Limited customization for enterprise-scale organizations with complex multi-department or multi-brand hiring structures.
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 Jobsoid 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

    Jobsoid: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Jobsoid 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 Jobsoid to Crelate data migrations

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

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Most Jobsoid to Crelate migrations land between three and five weeks for accounts with fewer than 5,000 candidates, 200 jobs, and standard pipeline configurations. Accounts with larger candidate volumes (over 20,000 records), complex multi-pipeline structures, or extensive activity history that requires profile-block decomposition move to six to ten weeks. Jobsoid's August 2025 announcement of the Onstro transition adds urgency for teams planning a migration; we recommend beginning discovery before the transition window to ensure clean export availability.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Jobsoid.
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