HRMS migration
Field-level mapping, validation, and rollback between Dover and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Dover
Source
Recruit CRM & ATS
Destination
Compatibility
7 of 10
objects map 1:1 between Dover and Recruit CRM & ATS.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Dover and Recruit CRM serve different recruiting postures. Dover is a free-tier ATS built for early-stage startups hiring without a dedicated HR ops function, relying on template scorecards and Gmail integrations rather than a full CRM data model. Recruit CRM is an agency-focused dual ATS and CRM platform with client management, invoicing, and a configurable pipeline model that treats Candidates and Clients as separate record types. Migrating between them requires extracting Dover's flat CSV exports, resolving the candidate-primary model against Recruit CRM's candidate-client separation, and remapping Dover stage names to Recruit CRM pipeline stages. We do not migrate Dover's Gmail and Calendar OAuth-linked data, AI-generated scorecard values that exist only in Dover's proprietary format, or job board API credentials stored in Dover settings. Workflows, interview guides, and stage gates are documented for the customer's admin to rebuild in Recruit CRM post-migration.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Dover 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.
Dover
Candidate
Recruit CRM & ATS
Candidate
1:1Dover Candidate records map directly to Recruit CRM Candidate records. The Dover candidate_id is preserved as an external reference field. Name, email, phone, LinkedIn URL, source attribution, current stage, and application date transfer as standard fields. We flag any Dover candidates with no email address or with duplicate email addresses for the customer's admin to resolve before final import.
Dover
Job
Recruit CRM & ATS
Job
1:1Dover Job postings map to Recruit CRM Job records with title, department, location, employment type, and description preserved. Job status (open, paused, closed) transfers to Recruit CRM status. We preserve the job-to-candidate linkage by loading Jobs first and using Dover's job_id as an external key referenced on the Candidate import phase.
Dover
Scorecard
Recruit CRM & ATS
Custom Field (Evaluation)
lossyDover scorecard values export as custom fields on the candidate record in CSV. AI-generated scorecards on Dover's Premium tier store scores in a proprietary format that does not map to a standard Recruit CRM field type. We export them as free-text custom fields or numeric custom properties depending on the score format, and document any scorecards that cannot be parsed cleanly for the customer's admin to verify post-migration.
Dover
Pipeline Stage
Recruit CRM & ATS
Pipeline Stage
lossyDover stage names vary per job because teams create custom stage taxonomies. We extract the complete stage set across all Dover jobs during discovery, map each named stage to a corresponding Recruit CRM pipeline stage, and flag any Dover stages that have no clear Recruit CRM equivalent for admin decision. Stage-change timestamps migrate as activity history entries on the candidate record.
Dover
User
Recruit CRM & ATS
User
1:1Dover user accounts export from team settings as name, email, and role. We map Dover owner assignments on candidate and job records to Recruit CRM user records by email match. Any Dover user with no corresponding Recruit CRM user goes to a reconciliation queue for the admin to provision before record import resumes.
Dover
Candidate (Stage History)
Recruit CRM & ATS
Candidate Activity Timeline
1:1Dover's stage history exports as a separate CSV table with candidate_id, stage_name, and timestamp. We reconstruct the stage progression timeline in Recruit CRM by inserting candidate activity records with type 'stage_change' and the original timestamp. This preserves hiring context without requiring Recruit CRM's native stage history feature.
Dover
Job Posting
Recruit CRM & ATS
Job (re-posting required)
lossyDover's job board integrations (LinkedIn, Indeed, Glassdoor, and 100+ others) are OAuth-linked credentials stored in Dover settings, not records in the candidate data model. We do not migrate job board API credentials. We document each active job board posting for the customer's admin to reconnect in Recruit CRM after migration.
Dover
Calendar Integration
Recruit CRM & ATS
Not Migrated
1:1Dover's Gmail and Calendar OAuth integrations store scheduling and email history in Google, not in Dover's database. These records are not included in the CSV export. We document which candidate records had linked Google activity and flag them for the customer to reconnect the Recruit CRM Google Calendar integration post-migration to resume scheduling continuity.
Dover
Recruiting Marketplace
Recruit CRM & ATS
Not Migrated
1:1The Dover Recruiting Marketplace connects companies with external fractional recruiters and is a separate service from the core ATS data model. Candidate and job records in the marketplace context are not part of the standard export. We do not migrate marketplace relationships or hourly recruiter credentials.
Dover
Candidate Source
Recruit CRM & ATS
Candidate Custom Field
1:1Dover's candidate source attribution (organic, referral, job board, agency) migrates to a Recruit CRM custom field on the Candidate record. Source is preserved as a string value so that the customer's admin can configure a source taxonomy in Recruit CRM to match their historical reporting categories.
| Dover | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Candidate | Candidate1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Scorecard | Custom Field (Evaluation)lossy | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Candidate (Stage History) | Candidate Activity Timeline1:1 | Fully supported | |
| Job Posting | Job (re-posting required)lossy | Fully supported | |
| Calendar Integration | Not Migrated1:1 | Fully supported | |
| Recruiting Marketplace | Not Migrated1:1 | Not supported | |
| Candidate Source | Candidate Custom Field1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Dover gotchas
No public API requires CSV-only export for migration
AI features gated behind Premium tier
Calendar and email threads not portable
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Discovery and CSV extraction design
We audit the Dover instance across candidates, jobs, scorecards, stage taxonomies, and users. Because Dover has no API, we design the CSV extraction sequence: we download Candidates as the primary export, Jobs as the secondary export, Scorecards and Stage History as supplemental exports, and Users from team settings. We identify any custom scorecard fields, non-standard stage names, and candidates with missing email addresses. The discovery output is a written extraction plan and field mapping matrix for the customer to review before we begin export.
CSV extraction and data validation
We guide the customer's Dover admin through the CSV bulk export process for each data type. We validate each CSV file against expected row counts, check for encoding issues, empty required fields, and malformed dates. We flag duplicate candidate email addresses, candidates with no associated job, and jobs with no associated candidates. This validation step prevents import errors in Recruit CRM that would require rework.
Transformation and stage mapping
We transform the Dover CSV data into Recruit CRM API-compatible JSON payloads. This includes mapping Dover field names to Recruit CRM field names, parsing date formats, encoding HTML entities in job descriptions, and splitting compound fields. We apply the customer-approved stage mapping matrix to assign each Dover stage name to a Recruit CRM pipeline stage. AI scorecard values are written to free-text or numeric custom fields with a note flagging verification required.
Recruit CRM sandbox import and reconciliation
We run a full import into a Recruit CRM sandbox or test environment using the transformed payloads. We reconcile record counts: candidates in, jobs in, stage history entries in, and users mapped. We spot-check 25-50 candidate records against the Dover source data for field-level accuracy and verify that job-to-candidate linkages are intact. Any mapping corrections are documented and applied to the production import scripts before cutover.
User provisioning and owner reconciliation
We match Dover users to Recruit CRM users by email. Any Dover owner who does not have a corresponding Recruit CRM user account is added to a reconciliation list. The customer's Recruit CRM admin provisions missing users (active or inactive based on whether the original Dover user is still employed) before we proceed to production import. Owner references on candidate and job records cannot resolve without confirmed user provisioning.
Production migration and cutover
We run production import in dependency order: Jobs first, then Candidates with job_id lookups resolved, then stage history as activity entries, then custom scorecard fields. We freeze Dover write access during the cutover window, run a final delta extraction of any records modified since the initial export, apply the delta, and validate final record counts in Recruit CRM. We deliver a written inventory of Dover workflows, interview guides, and stage gates for the customer's admin to rebuild in Recruit CRM post-migration.
Platform deep dives
Dover
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Dover and Recruit CRM & ATS.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Dover: Not publicly documented.
Data volume sensitivity
Dover doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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