HRMS migration

Migrate from GoHire to Crelate

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

GoHire logo

GoHire

Source

Crelate

Destination

Crelate logo

Compatibility

75%

9 of 12

objects map 1:1 between GoHire and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from GoHire to Crelate is a structured ATS extraction with manual export handling and custom field remapping. GoHire has no documented public API, so we coordinate with the customer to extract a full admin-panel CSV export including Jobs, Candidates, Applications, and custom properties before migration begins. We preserve job board association metadata from GoHire so that migrated jobs can re-syndicate cleanly to Indeed, Monster, CareerBuilder, and other aggregators on first publish in Crelate. Resume files are exported separately via GoHire's bulk download tool and reimported as attachments. Screening question responses from GoHire map to Crelate custom fields, and pipeline stage names map to Crelate pipeline stages based on a naming convention agreed with the customer during scoping. Workflows, automation rules, and GoHire's careers-page builder configuration do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Crelate. Crelate's per-user pricing model (starting at $99/user/month on Business) scales differently from GoHire's per-job-listing model, which is an important cost consideration for agencies moving from small-team hiring to multi-recruiter operations.

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

GoHire logo

GoHire

What's pushing teams away

  • Premium paid job board listings add significant cost on top of the base subscription, which frustrates teams that expected unlimited or included job board distribution.
  • Limited native integrations beyond Zapier and a handful of job boards — teams with established HR stacks find GoHire does not connect cleanly to payroll, HRIS, or background-check tools.
  • Job board posting latency is outside GoHire's control — Indeed in particular can take 24–48 hours to publish a listing, which teams needing rapid hires find unacceptable.
  • Smaller review volume and lower brand recognition compared to competitors like Workable or BambooHR creates hesitation for enterprises looking for a proven, widely-adopted ATS.

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 GoHire objects map to Crelate

Each row shows how a GoHire 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.

GoHire

Job

maps to

Crelate

Job

1:1
Fully supported

GoHire Job records map directly to Crelate Job records with full field fidelity: title, description, requirements, department, location, employment type, and open/closed status transfer as structured fields. GoHire's job board distribution metadata (which boards the listing was published to, and the board-specific job ID) is preserved in a Crelate custom text field so that re-syndication to Indeed, Monster, CareerBuilder, and other aggregators does not require manual re-entry of board associations. We flag any source job descriptions that may fail destination job board standards during the pre-migration scan.

GoHire

Candidate

maps to

Crelate

Contact

1:1
Fully supported

GoHire Candidate profiles map to Crelate Contact records. Full name, email address, phone number, current company, current title, LinkedIn URL, and candidate notes transfer as standard Crelate fields. Any candidate tags or labels from GoHire migrate to Crelate Tags. Resume files are exported from GoHire via the bulk download tool (a manual in-platform action we request the customer perform before migration kickoff) and reimported as Crelate Document records attached to the Contact.

GoHire

Application

maps to

Crelate

Application (linked to Job and Contact)

1:1
Fully supported

GoHire Application records link a Candidate to a Job and carry the source attribution (which job board or direct link generated the application). We preserve this linkage and the source channel in Crelate's Application record, which ties to both the Job and the Contact. The application date, current pipeline stage, and any application-specific notes transfer as structured fields on the Crelate Application.

GoHire

Pipeline Stage

maps to

Crelate

Pipeline Stage

lossy
Fully supported

GoHire's candidate pipeline uses configurable stage names that vary by customer setup. We map source stage names to destination Crelate pipeline stage names based on a naming convention agreed with the customer during scoping. If GoHire stages map to Crelate deal/opportunity stages rather than candidate stages (common in staffing agency workflows), we configure both the candidate pipeline and the opportunity pipeline in Crelate during migration. Stage ordering and probability percentages transfer where available.

GoHire

Screening Question (Job-level)

maps to

Crelate

Custom Field (Job-level)

1:1
Fully supported

GoHire custom screening questions attached to a Job are stored as custom fields in the export. Their response values transfer as structured data to Crelate custom fields on the Job record. The screening question text itself (the question wording) does not auto-populate in Crelate; it is recreated as a Crelate custom field label during the schema setup phase, and the customer's admin confirms the field names and types before migration runs.

GoHire

Interview Event

maps to

Crelate

Calendar Event / Activity

1:1
Fully supported

GoHire interview scheduling records and associated calendar invite details transfer as Crelate Activity records (Event type) linked to the relevant Job and Contact. Interview date, time, duration, interviewer name, location (or meeting link), and any scheduling notes transfer. We do not transfer GoHire's specific self-scheduling link preference (GoHire's built-in scheduling tool vs Google Calendar vs Outlook); the customer reconfigures the scheduling integration in Crelate post-migration.

GoHire

Team Member

maps to

Crelate

User

1:1
Fully supported

GoHire hiring team member accounts (recruiters, hiring managers, administrators) transfer as Crelate User records. We extract the email address, full name, and role designation from GoHire and resolve each by email match against the Crelate destination tenant's User table. Any GoHire Team Member without a matching Crelate User goes to a reconciliation queue for the customer's admin to provision the account before record import resumes. Role-based permissions map to Crelate's permission model, which the admin reviews post-migration for fine-grained access control.

GoHire

Custom Property (Job-level)

maps to

Crelate

Custom Field (Job-level)

1:1
Fully supported

GoHire supports custom fields on Job records beyond the standard fields. We discover these at scan time and create equivalent Crelate custom fields with matching field types (text, picklist, date, numeric, monetary). Fields that cannot be matched by name or type are flagged in the mapping spreadsheet for the customer to resolve. Custom field values migrate as structured data into the corresponding Crelate custom fields.

GoHire

Custom Property (Candidate-level)

maps to

Crelate

Custom Field (Contact-level)

1:1
Fully supported

GoHire custom fields on Candidate records transfer to Crelate Contact custom fields. Crelate supports custom field types including short/long answer, date, numeric, monetary, picklist (single and multi-select), and star ratings. We map GoHire field types to Crelate field types during the discovery phase and flag any fields that cannot be matched by name or compatible type in the mapping document.

GoHire

Candidate Source Attribution

maps to

Crelate

Tag / Activity Note

lossy
Fully supported

GoHire Application records carry the source channel (which job board, direct application, referral link, or careers page generated the candidate). We preserve this as a Crelate Tag on the Contact record and as a custom text field sourced__c for reporting. If the customer uses GoHire's UTM and referrer tracking, we attempt to preserve that metadata as additional custom fields or tags in Crelate.

GoHire

Company (Candidate employer)

maps to

Crelate

Company / Client (optional CRM record)

1:1
Fully supported

GoHire Candidate profiles may include current employer company name as a free-text field. If the customer is an agency using Crelate's CRM side, we can promote these to Crelate Company records linked to the Contact. If the customer is an in-house team without a client CRM use case, the company name remains as a text field on the Contact record. We confirm the customer's preference during scoping.

GoHire

Job Board Distribution Metadata

maps to

Crelate

Job Distribution Settings / Custom Fields

lossy
Fully supported

GoHire's core differentiator is one-click multi-job-board publishing to Indeed, Monster, CareerBuilder, SimplyHired, and other aggregators. The board-specific job IDs and distribution history transfer as a structured set of Crelate custom text fields (one per board). The customer's admin reviews and confirms these before re-syndication in Crelate, at which point Crelate's own job board distribution settings take over for new postings.

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.

GoHire logo

GoHire gotchas

Medium

Job board standards compliance affects migration completeness

Medium

Bulk resume export requires GoHire account access

High

No documented public API for automated extraction

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

  • GoHire has no documented public API for automated extraction

    The CSV research found no GoHire public API with documented authentication, endpoints, or rate limits. All evidence points to in-platform admin-panel exports as the primary data extraction mechanism. We request that the customer provides a full data export from GoHire's admin panel before migration begins. If this export is incomplete or the customer no longer has active GoHire access, records may need to be retrieved manually or may be inaccessible. We flag this requirement during migration kickoff and confirm export completeness before scheduling extraction. Customers should export data before closing their GoHire account.

  • Bulk resume export requires GoHire account access, not API

    GoHire's bulk resume download is an in-platform action documented in their help centre, not an API endpoint. We request that the customer exports resume files from GoHire directly and provides them alongside the structured data export. If the customer has already lost GoHire access, resume files may need to be retrieved manually from any local copies or may be inaccessible. We flag this requirement during migration kickoff so the customer can export resumes before closing the old account. Resume files are reimported as Crelate Document records attached to the corresponding Contact.

  • Crelate field types constrain custom field mapping

    Crelate custom fields support specific types: short/long answer, date, numeric, monetary, picklist (single and multi-select), and star ratings. GoHire custom fields may use formats that do not map directly to these types (for example, a free-text GoHire field with comma-separated values intended as a multi-select may need to be converted to a Crelate multi-select picklist, or remain as a text field). We discover the full custom field inventory during scoping and flag any field-type mismatches in the mapping spreadsheet for the customer to confirm the intended target type.

  • Job board posting standards may differ between GoHire and Crelate

    Indeed in particular enforces strict formatting requirements that can cause listings to be held or rejected on first publish. GoHire's job descriptions may contain formatting, character encoding, or HTML that does not meet Crelate's job board export standards. We flag any source job descriptions that may fail destination job board standards during the pre-migration scan and surface them to the customer before import. The customer corrects formatting before re-syndication in Crelate to prevent rejected postings on the destination platform.

  • Workflows, automation rules, and scheduling links do not migrate

    GoHire's automated candidate communication workflows, interview self-scheduling configurations, and email automation rules are platform-specific automation features that do not have equivalents in Crelate's automation model. We do not migrate these as code. We deliver a written inventory of every active GoHire automation with its trigger, conditions, and actions for the customer's admin to review and rebuild in Crelate Workflows or Crelate's automation features on Business Plus. Interview scheduling integration preferences (GoHire's built-in self-scheduling vs Google Calendar vs Outlook) are also not transferred; the customer reconfigures scheduling in Crelate post-migration.

Migration approach

Six steps for a successful GoHire to Crelate data migration

  1. Migration kickoff and GoHire export coordination

    We schedule a kickoff call with the customer's GoHire admin to confirm the full export scope and walk through the in-platform export process. We provide a checklist of GoHire admin panel exports to complete: Jobs export (CSV), Candidates export (CSV), Applications export (CSV), Team Members export (CSV), and bulk resume download. We also request confirmation of active job board distribution settings (board names and board-specific job IDs) for migration to Crelate custom fields. Export completeness is validated before we proceed to the discovery scan.

  2. Discovery scan and object inventory

    We ingest the GoHire exports and run a discovery scan to count Jobs, Candidates, Applications, pipeline stages, custom fields (Job-level and Candidate-level), team members, and attachment volume. We also identify any job descriptions with formatting that may fail job board standards on re-publish. The discovery output is a written migration scope document with record counts, a preliminary object mapping, and a flag list of any data quality issues requiring customer action before migration runs.

  3. Schema design and custom field setup in Crelate

    We design the Crelate destination schema based on the discovery scan. This includes creating Crelate custom fields for all GoHire custom properties (with type mapping: text to short/long answer, numeric to numeric, monetary to monetary, and so on). We configure pipeline stages to match GoHire stage names based on the naming convention agreed with the customer. We create the User records for each GoHire Team Member and resolve by email match against the Crelate tenant. Any unmapped fields are flagged in the mapping spreadsheet for the customer to review.

  4. Sandbox migration and reconciliation

    We run a full migration into Crelate's test environment using production-like data volume. The customer's admin reviews record counts, spot-checks 20-30 random records against the GoHire source exports, and validates that pipeline stages, custom field values, and candidate tags appear correctly in Crelate. The admin also confirms that resume attachments are linked to the correct Contact records. Any mapping corrections are applied in this phase before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Team Members and Users (validated), Jobs (with job board metadata preserved), Contacts (with resume attachments linked), Applications (linking Candidates to Jobs with source attribution), pipeline stage history (mapped to Crelate stage values), custom field values on Jobs and Contacts, and Tags for candidate source attribution. Each phase emits a row-count reconciliation report before the next phase begins. We freeze writes in GoHire during the final cutover window to capture any last-minute changes.

  6. Cutover, validation, and automation rebuild handoff

    After the final delta migration of any records modified during the cutover window, we enable Crelate as the system of record. We deliver the automation and workflow inventory document to the customer's admin team for rebuild in Crelate Workflows (Business Plus) or manual process documentation. We support a one-week hypercare window to resolve any record reconciliation issues. We do not rebuild GoHire workflows as Crelate automations inside the migration scope; that is a separate engagement. The careers-page builder configuration does not migrate; we recommend Crelate's branded job portal as the replacement candidate-facing page.

Platform deep dives

Context on both ends of the pair

GoHire logo

GoHire

Source

Strengths

  • One-click multi-job-board distribution to Indeed, Monster, CareerBuilder, SimplyHired and other aggregators built into the core product.
  • Built-in careers page builder lets small businesses publish a branded careers site without a separate CMS.
  • Calendar-integrated interview scheduling (Google Calendar, Outlook) removes most coordination back-and-forth.
  • Flat-rate pricing tied to active job listings rather than per-user, predictable for small hiring teams.
  • 14-day free trial with no credit card required lowers the evaluation barrier for lean HR teams.

Weaknesses

  • Limited native integrations beyond Zapier and the bundled job boards — no first-party connectors to most payroll, HRIS, or background-check tools.
  • Premium / featured job board listings add cost on top of the base subscription, surprising customers who expected unlimited distribution.
  • Job board publishing latency (especially Indeed at 24-48 hours) is outside GoHire's control and frustrates teams needing urgent fills.
  • No documented public API — data extraction relies on in-platform exports and bulk-resume download tools, not programmatic access.
  • Lower review volume and brand recognition versus Workable, BambooHR, or Greenhouse, which creates procurement hesitation for larger evaluators.
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 GoHire 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

    GoHire: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your GoHire 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 GoHire to Crelate data migrations

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

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Most GoHire to Crelate migrations land between two and four weeks for accounts with fewer than 5,000 Candidates and 200 active Jobs. Migrations with extensive custom field sets on both Jobs and Candidates, large attachment libraries requiring bulk resume extraction and reimport, or complex multi-stage pipeline configurations requiring manual stage naming alignment move to four to six weeks. The GoHire extraction phase (the customer's in-platform export) adds one to three days to the timeline but is performed by the customer and runs in parallel with our discovery work.

Adjacent paths

Related migrations to explore

Ready when you are

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