HRMS migration

Migrate from Smart Hire to Recruit CRM & ATS

Field-level mapping, validation, and rollback between Smart Hire and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.

Smart Hire logo

Smart Hire

Source

Recruit CRM & ATS

Destination

Recruit CRM & ATS logo

Compatibility

70%

7 of 10

objects map 1:1 between Smart Hire and Recruit CRM & ATS.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Smart Hire to Recruit CRM is primarily a data extraction and schema remapping project. Smart Hire does not expose a documented public REST API, so we automate CSV downloads from authenticated dashboard sessions, parse multi-file exports, and reconstruct the associations between candidates and job openings that split during export. Psychometric assessment scores stored in Smart Hire's internal scale format require normalization against the destination schema before insert. We migrate Candidates to Recruit CRM Contacts, Job Openings to Jobs, Screening Sessions to candidate activity records, and psychometric data to candidate score fields. Custom fields and custom career site content do not migrate as functional components; we deliver a written field inventory and a separate career site rebuild checklist for the customer's team. The migration is scoped for SMB and mid-market recruitment teams moving from Smart Hire's AI-assisted screening layer to Recruit CRM's operational ATS and CRM platform.

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

Smart Hire logo

Smart Hire

What's pushing teams away

  • Catalog website (smarthire-rh.com) currently returns connection errors — vendor presence and product continuity may be in doubt for this specific URL.
  • Multiple unrelated products share the 'Smart Hire' brand (smart-hire.ai, smarthire.website, usasmarthire.com, smart-hire.cloud, smarthire.app), creating confusion about which vendor is actually in scope.
  • No public API documentation surfaced through major review aggregators, limiting programmatic data extraction for migrations.
  • Pricing is not published for the catalog URL — buyers cannot evaluate cost without a sales conversation, and that conversation may not be possible if the site is non-responsive.
  • Very thin public review footprint for the specific smarthire-rh.com instance makes due diligence and vendor stability assessment difficult.

Choosing

Recruit CRM & ATS logo

Recruit CRM & ATS

What's pulling them in

  • Agencies choose Recruit CRM for its full customizability — pipelines, stages, and fields can be tailored to any recruitment workflow without developer involvement.
  • Small teams value the built-in CRM and ATS combined in one subscription, eliminating the need to purchase and sync separate systems.
  • The Chrome extension for one-click LinkedIn profile collection streamlines candidate sourcing and reduces manual data entry for recruiters.
  • Responsive customer support with fast issue resolution is consistently cited as a reason teams stick with the platform long-term.
  • Automation options including email sequences and workflow triggers allow recruitment agencies to reduce repetitive manual outreach tasks.

Object mapping

How Smart Hire objects map to Recruit CRM & ATS

Each row shows how a Smart Hire object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Smart Hire

Candidate

maps to

Recruit CRM & ATS

Contact

1:1
Fully supported

Smart Hire candidate records include contact details, work history, application status, and linked screening sessions. We normalize these into Recruit CRM Contact records, mapping the primary email address as the dedupe key. If the candidate has multiple screening sessions across different job openings, we attach each session as a candidate activity or note linked to the Contact. Smart Hire custom fields on candidate records map to Recruit CRM custom fields, with type-coercion applied during the staging phase for any fields exported as untyped strings.

Smart Hire

Job Opening

maps to

Recruit CRM & ATS

Job

1:1
Fully supported

Smart Hire job openings contain title, department, location, and pipeline stage. We map these to Recruit CRM Job records. The pipeline stage vocabulary from Smart Hire (Applied, Screening, Interview, Offer, Hired) remaps to Recruit CRM's job status stages, which the customer's admin configures before migration. Job openings without an assigned pipeline in Smart Hire default to the first stage in the Recruit CRM job workflow.

Smart Hire

Screening Session

maps to

Recruit CRM & ATS

Candidate Activity / Interview Record

1:many
Fully supported

Smart Hire stores screening sessions as separate linked records that connect a candidate to a specific assessment round. Each screening session becomes an activity record or interview record attached to the corresponding Recruit CRM Contact. If Recruit CRM supports a dedicated interview or evaluation object, we map sessions to that; otherwise, sessions attach as notes with timestamps and session metadata preserved from the Smart Hire session record.

Smart Hire

Psychometric Assessment

maps to

Recruit CRM & ATS

Candidate Score / Custom Field

lossy
Fully supported

Assessment scores and percentile rankings from Smart Hire are stored in the platform's internal scale format, which is not standardized against external benchmarks. We extract raw scores, competency scores, and percentile ranks during profiling, then normalize them against a scale defined during scoping. The normalized scores land in Recruit CRM's candidate scoring fields or custom numeric fields. Assessment type and test name map to a text field for reference. If the customer's Recruit CRM account uses a third-party assessment integration, we flag the scores for re-ingest through that integration rather than storing them as static values.

Smart Hire

Custom Property

maps to

Recruit CRM & ATS

Custom Field

1:1
Fully supported

Smart Hire custom fields on candidate and job records export as key-value pairs that may be untyped in CSV output. We detect type mismatches during profiling (a date stored as text, a number stored as free text) and apply coercion rules before inserting into Recruit CRM. Custom field names map directly to Recruit CRM custom fields, with spaces normalized to underscores in the API name. If a custom field references a deleted or archived Smart Hire option value, we flag it for manual review and preserve the original value as a text fallback.

Smart Hire

Attachment

maps to

Recruit CRM & ATS

Resume / CV

1:1
Fully supported

Resumes and supporting documents linked to Smart Hire candidate records are exported as binary assets. We attach them to the corresponding Recruit CRM Contact record using the file upload endpoint, preserving the original filename and MIME type. Documents that are not resumes (certificates, portfolio samples) attach as general file uploads to the Contact record with the original file type maintained.

Smart Hire

User

maps to

Recruit CRM & ATS

Team Member

1:1
Fully supported

Smart Hire user accounts for hiring managers and recruiters export with role assignments. We map user identity to Recruit CRM's Team Member or user records by matching on email address. Role terminology differs between platforms, so we preserve the original Smart Hire role name in a custom field on the Recruit CRM user record for the admin to reassign during onboarding.

Smart Hire

Pipeline Stage

maps to

Recruit CRM & ATS

Job Status / Stage

lossy
Fully supported

Smart Hire stages (Applied, Screening, Interview, Offer, Hired) are extracted as the full stage configuration per job opening. We remap stage names and ordering to match Recruit CRM's job status vocabulary, which the customer's admin configures at the start of the project. Stage probability percentages from Smart Hire transfer to a custom field on the job record if Recruit CRM supports percentage tracking at the job level.

Smart Hire

Company / Client

maps to

Recruit CRM & ATS

Client / Company

1:1
Fully supported

If Smart Hire stores client or company records separate from candidate records, these map to Recruit CRM Client or Company records. We use the company name as the dedupe key and map industry, website, and contact fields to the equivalent Recruit CRM fields. Client records without a company name default to a placeholder value and are flagged for the admin to complete post-migration.

Smart Hire

Talent Pool

maps to

Recruit CRM & ATS

List / Tag

1:1
Fully supported

Smart Hire talent pools built for future openings map to Recruit CRM Lists or Tags attached to Contact records. Pool membership is reconstructed by matching candidate IDs against the pool membership records exported from Smart Hire. Each pool becomes a Recruit CRM List with all associated candidates added as members.

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.

Smart Hire logo

Smart Hire gotchas

High

Export mechanism is CSV-based, not REST API

Medium

Assessment score normalization requires field mapping

Medium

Custom fields may be untyped in CSV exports

Medium

Candidate-to-job associations can split during multi-file exports

Recruit CRM & ATS logo

Recruit CRM & ATS gotchas

High

API rate limits are license-scaled and can throttle bulk migration

Medium

Custom field schemas vary per organization and require field-level mapping

Medium

Files and email attachments require separate extraction and re-upload

Low

Email sequences and automation logic do not transfer between platforms

Pair-specific challenges

  • Smart Hire CSV export requires authenticated dashboard scraping

    Smart Hire does not expose a well-documented public REST API for bulk data export. The primary export path is CSV downloads from the admin dashboard, which means we must automate the download flow via authenticated sessions and parse the resulting CSV files. If candidate records span multiple dashboard pages or use custom export filters, we iterate through each view to ensure complete data capture. This extends profiling time compared to API-first platforms and requires the customer to grant sustained read access to the Smart Hire account during the migration window.

  • Assessment score normalization requires pre-migration validation

    Psychometric scores in Smart Hire are stored in an internal scale format that is not standardized against external benchmarks. When migrating to Recruit CRM, we must map raw scores, percentile ranks, and competency scores to the destination's scoring schema. We validate score ranges during pre-migration profiling to catch truncated or improperly formatted assessment data before loading. Scores stored as free-text strings (a common export artifact) require manual review or estimation before insert.

  • Candidate-to-job associations split across multi-file exports

    When Smart Hire exports candidate records and job records as separate CSV files, the association between them relies on foreign key IDs embedded in the records. If the export does not include a consistent ID mapping across files, we reconstruct associations by matching candidate IDs to application records. We run a reconciliation step to confirm every candidate is linked to at least one job opening before closing the migration, and we flag any orphaned candidates for the admin to review.

  • Custom fields may be untyped in Smart Hire CSV exports

    Custom properties added by the customer in Smart Hire may export as free-text strings even when they represent dates, numbers, or booleans. We detect type mismatches during the profiling phase and apply type-coercion rules before inserting into Recruit CRM. If a custom field references a deleted or archived option value in Smart Hire, we flag it for manual review and preserve the original value as a text fallback in Recruit CRM. The customer should audit custom field usage in Smart Hire before migration to catch orphaned option values early.

Migration approach

Six steps for a successful Smart Hire to Recruit CRM & ATS data migration

  1. Discovery and export access

    We audit the Smart Hire account for candidate volume, job opening count, screening session count, psychometric assessment records, custom field schema, and user accounts. The customer grants read access to the Smart Hire admin dashboard or provides exported CSV files from all relevant views. If CSV exports require multi-page iteration, we automate the download process using authenticated sessions and document the export views required for complete data capture.

  2. Schema profiling and type detection

    We load the exported CSV files into a staging environment and profile the schema across all record types. We identify untyped custom fields, detect score format inconsistencies in psychometric data, and flag orphaned option values in picklist fields. We produce a profiling report showing field-level data quality grades and the mapping decisions required for each field before the customer approves the migration scope.

  3. Assessment normalization and association reconstruction

    We normalize psychometric scores from Smart Hire's internal scale format to the scale agreed upon during scoping. We reconstruct candidate-to-job associations by resolving foreign key IDs across the candidate and job CSV files. Any candidate without a linked job opening is assigned to a reconciliation queue for the customer's admin to resolve before the final import.

  4. Field mapping and Recruit CRM schema preparation

    We map each Smart Hire field to a Recruit CRM field, applying type-coercion for untyped custom fields and configuring Recruit CRM custom fields for any Smart Hire fields that have no standard equivalent. We set up Recruit CRM job status stages to align with the Smart Hire pipeline vocabulary. The customer reviews and approves the field mapping document before any data is written to Recruit CRM.

  5. Sandbox import and reconciliation

    We run a full import into a Recruit CRM sandbox or demo account using production-like data volume. The customer reconciles record counts (Contacts in, Jobs in, activities in), spot-checks 20-30 random records against the Smart Hire source, and signs off the mapping before production migration begins. Any mapping corrections and type-coercion refinements happen here.

  6. Production migration and cutover

    We run production migration in dependency order: Jobs first (establishing the job record IDs needed for candidate associations), then Contacts (with job associations resolved), then screening session activity records, then psychometric scores. Custom fields load last after the standard field population is validated. We freeze Smart Hire writes during cutover, run a final delta migration of any records modified during the window, and enable Recruit CRM as the system of record.

  7. Delivery and rebuild handoff

    We deliver a written inventory of Smart Hire custom fields, career site configurations, and any workflow or automation patterns the customer used in Smart Hire that have no Recruit CRM equivalent. We do not rebuild Smart Hire custom career sites or automation rules as part of the migration scope. The customer uses the inventory to plan the career site rebuild and automation setup in Recruit CRM with their implementation team or internal admin.

Platform deep dives

Context on both ends of the pair

Smart Hire logo

Smart Hire

Source

Strengths

  • AI-assisted CV screening reduces manual resume review for high-volume roles
  • Psychometric and skills assessments are natively integrated into the screening workflow
  • Talent pipeline management supports building candidate pools for future openings
  • Custom career sites can be embedded or white-labeled for employer branding
  • Free job posting tier available with basic platform access

Weaknesses

  • API documentation is not publicly indexed, limiting programmatic migration access
  • Limited public pricing information makes cost-of-migration estimation harder
  • Smaller market presence means fewer third-party integration connectors
  • Export capabilities are primarily CSV-based rather than structured API endpoints
  • Support responsiveness and documentation depth lag behind enterprise ATS platforms
Recruit CRM & ATS logo

Recruit CRM & ATS

Destination

Strengths

  • Fully customizable pipelines, stages, and fields without requiring developer involvement
  • Combines recruitment CRM and ATS in one subscription for staffing agencies and small teams
  • Built-in email sequences and automation reduce manual outreach work
  • Chrome extension enables one-click LinkedIn profile collection directly into the CRM
  • Responsive customer support cited across multiple reviews with fast resolution times

Weaknesses

  • Several features are gated as paid add-ons rather than included in the base subscription
  • Email functionality has been reported as unreliable by multiple users
  • Interface occasionally lags during high-activity periods in large pipelines
  • Pricing is considered higher than comparable recruitment CRMs by some customers
  • Limited native reporting — users request pre-made report exports rather than manual data pulls

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 Smart Hire and Recruit CRM & ATS.

  • 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

    Smart Hire: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Smart Hire to Recruit CRM & ATS 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 Smart Hire to Recruit CRM & ATS data migrations

Answers to the questions buyers ask most during Smart Hire to Recruit CRM & ATS migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Smart Hire to Recruit CRM & ATS migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between two and four weeks for accounts under 5,000 candidates with no complex custom field schemas. Migrations with large screening session histories, psychometric assessment data requiring normalization, or custom fields spanning multiple record types move to five to eight weeks because of CSV parsing iteration, association reconstruction, and field-level type-coercion work. The migration timeline also depends on how quickly the customer provides complete CSV exports from Smart Hire and how many custom fields require manual review.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Smart Hire.
Land in Recruit CRM & ATS, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day