HRMS migration
Field-level mapping, validation, and rollback between Jarvi and Zoho Recruit. We move data and schema; workflows are rebuilt natively in Zoho Recruit.
Jarvi
Source
Zoho Recruit
Destination
Compatibility
10 of 12
objects map 1:1 between Jarvi and Zoho Recruit.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Jarvi to Zoho Recruit is a platform consolidation that relocates a recruiting agency's candidate and client data into the Zoho ecosystem. Jarvi stores candidates, client contacts, job mandates, multichannel activity timelines, and AI-generated profile summaries in its unified ATS-CRM model. Zoho Recruit organizes data across separate Candidates, Job Openings, Clients and Contacts, Interviews, and Custom Modules with a tier-based field limit (50 per module on Standard, 300 per module on Professional). We resolve the Zoho Last Name mandatory field requirement during extraction (mapping empty or first-name-only records to 'not provided'), extract Jarvi's pipeline stage schema to configure Zoho Sales Processes and stage picklists, and map Jarvi's custom UUID-based fields to Zoho's typed custom fields (text, number, date, dropdown, lookup) after confirming the destination edition. Multichannel conversation threads from Jarvi's LinkedIn/WhatsApp/Telegram inbox become standard Zoho email and task activity records. We do not migrate Jarvi's AI-generated profile summaries as standalone objects; they land in a Zoho custom text field for admin review. Workflows, automations, and AI-assisted outreach sequences do not migrate and are delivered as a written inventory for the admin to rebuild in Zoho's Workflow Rules and Blueprint tools.
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 Jarvi object lands in Zoho Recruit, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Jarvi
Candidate
Zoho Recruit
Candidate
1:1Jarvi Candidates map directly to Zoho Recruit Candidates. The Zoho Last Name field is mandatory and will reject records with no last name; we apply a 'not provided' placeholder to any Jarvi Candidate with a missing or empty lastName field during extraction. Jarvi's candidate status (active, inactive, placed) maps to the Zoho Candidate Status picklist. We preserve the original Jarvi candidate ID in a custom text field jarvi_id__c for cross-reference during the parallel-run window.
Jarvi
Contact
Zoho Recruit
Contact
1:1Jarvi's CRM-layer Contacts (client and prospect records) map to Zoho Recruit Contacts. Contact lifecycle stage in Jarvi (prospect, active client, dormant) maps to the Zoho Contact Status or a custom picklist field. The Zoho Last Name requirement applies to Contacts as well; we flag any Contact without a last name during scoping and apply the 'not provided' placeholder. Company association in Jarvi (linked Company record) maps to Zoho Contact's Account lookup, which we resolve after the Clients module is imported.
Jarvi
Job
Zoho Recruit
Job Opening
1:1Jarvi Job postings and requisitions map to Zoho Recruit Job Openings. Job status (open, closed, on hold) maps to the Zoho Job Opening Status picklist. We preserve job-to-candidate associations as Zoho Job Opening Application records, linking each Candidate to the relevant Job Opening via the Candidates tab inside the Job Opening module. The posting channels used in Jarvi (LinkedIn, Indeed, direct) do not migrate as configuration; we note them in a custom text field posting_channels__c for the admin to reconfigure in Zoho's job distribution settings.
Jarvi
Pipeline Stage
Zoho Recruit
Sales Process + Stage Picklist
lossyJarvi allows custom pipeline stage definitions per job or per CRM deal, with stage names and win/loss states varying by organization. We extract the complete stage schema (stage names, ordering, probability percentages, and win/loss states) during scoping and map it to a Zoho Sales Process per Job Opening type. Zoho stage picklist values are created in Setup > Customization > Pipelines and correspond to the candidate's position in the hiring pipeline. We preserve stage probabilities as Zoho percentage fields if the customer's workflow relies on them for reporting.
Jarvi
Activity
Zoho Recruit
Task and Event
1:1Jarvi Activities (emails sent, LinkedIn messages, calls, meetings, tasks) are stored as timeline records linked to a Contact or Candidate. We map outreach actions to Zoho Tasks with TaskSubtype set to Call for phone activities and Task (generic) for todo items. Meeting activities map to Zoho Events with StartDateTime, EndDateTime, and Location preserved. The original Jarvi channel attribute (email, LinkedIn, WhatsApp, phone) is stored in a custom picklist field original_channel__c so the admin can filter by channel in Zoho. Note: Zoho does not have a native WhatsApp or Telegram connector; multichannel threads are flattened into standard activity records.
Jarvi
Company
Zoho Recruit
Client
1:1Jarvi Company records (firmographic data: industry, size, revenue tier) map to Zoho Recruit Clients. Client is the top-level organizational record in Zoho Recruit's CRM layer, analogous to Account in other CRMs. We use the Jarvi Company name as the Client name and map Jarvi's industry and size fields to Zoho Client's corresponding fields or to custom fields if the standard fields do not cover the required granularity. Clients are imported before Contacts to satisfy the Account lookup dependency.
Jarvi
Conversation
Zoho Recruit
EmailMessage + Task
1:1Jarvi Conversation threads (LinkedIn InMail, email, WhatsApp, Telegram, SMS) are stored as a unified thread per Contact or Candidate. We map each message in the thread to a Zoho EmailMessage record (for email channel) or a Task record (for LinkedIn, WhatsApp, Telegram) with the message content stored in the Description or Comments field and the original channel stored in a custom picklist field. Zoho's IMAP sync on Enterprise and POP3 on all tiers can pull new email after cutover, but historical thread context from Jarvi's inbox is migrated as flat activity records without the threaded UI context.
Jarvi
Custom Field
Zoho Recruit
Custom Field
lossyJarvi exposes a UUID-based Custom Fields API supporting text, number, date, and dropdown types for Candidates and Contacts. We retrieve the field schema during scoping, then create matching custom fields in Zoho Recruit before data migration begins. Text fields map to Zoho's Single Line, Multi Line, or Email field types depending on content. Date fields map directly. Dropdown fields map to Zoho Picklist. Note that custom fields are not available on Zoho Recruit's Free Edition and are limited to 50 per module on Standard; we flag any schema that exceeds the target edition's limit and recommend a Professional or Enterprise upgrade, or we consolidate less-critical fields into a JSON-serialized text field as a fallback.
Jarvi
Attachment
Zoho Recruit
Attachment
1:1Jarvi attachments (resumes, cover letters, uploaded documents) are stored as file metadata and reference URLs linked to Candidate profiles. We export the file content alongside candidate records where accessible via the Jarvi API. Files are uploaded to Zoho Recruit's Document Library and linked to the corresponding Candidate record via Zoho's Attachment related list. If a file reference URL is stale or inaccessible at migration time, we flag it in the reconciliation report and note the filename and candidate for manual re-upload by the admin.
Jarvi
AI Summary
Zoho Recruit
Custom Text Field
1:1Jarvi's AI agent generates candidate summaries, profile evaluations, and outreach suggestions that are stored as linked data points on the Candidate record rather than standalone objects. We export these as custom text fields (multi-line) on the Zoho Candidate record. The original summary text is preserved in full. If the customer's Zoho edition does not support custom fields, we flag the orphaned AI data and recommend regenerating summaries post-migration using Zia on the Professional tier or a third-party AI tool.
Jarvi
User (Owner)
Zoho Recruit
User
1:1Jarvi Owners (recruiters and admins) are mapped to Zoho Recruit Users by email address. We extract all distinct Owner IDs referenced on Candidate, Contact, Job, and Activity records and attempt to match by email against the destination Zoho Recruit User table. Any Jarvi Owner without a matching Zoho User is held in a reconciliation queue. Note from Zoho documentation: users who already have a separate Zoho Recruit account must close that account before they can be imported into the company's Recruit account; we flag these in scoping.
Jarvi
Interview
Zoho Recruit
Interview
1:1If Jarvi stores interview records as a distinct object (linked to a Candidate and Job Opening with scheduled time, interviewer, and feedback), we map them to Zoho Recruit's Interview module. Interview status (scheduled, completed, cancelled) and interviewer assignment migrate as-is. Interview scorecards and feedback forms do not migrate as structured templates; we deliver a written inventory of the Jarvi scorecard fields for the admin to recreate as Zoho Interview form fields post-migration.
| Jarvi | Zoho Recruit | Compatibility | |
|---|---|---|---|
| Candidate | Candidate1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Job | Job Opening1:1 | Fully supported | |
| Pipeline Stage | Sales Process + Stage Picklistlossy | Fully supported | |
| Activity | Task and Event1:1 | Fully supported | |
| Company | Client1:1 | Fully supported | |
| Conversation | EmailMessage + Task1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| AI Summary | Custom Text Field1:1 | Fully supported | |
| User (Owner) | User1:1 | Fully supported | |
| Interview | Interview1:1 | 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.
Jarvi gotchas
Profile import endpoint is unpaginated
AI-generated profile summaries are not native objects
LinkedIn data freshness depends on sync schedule
Zoho Recruit gotchas
Daily API rate limits are tier-gated and per-user capped
User import hard cap of 2,000 records
Attachment folder hierarchy must be preserved exactly
Resume parsing quota varies by plan and resets daily
Custom fields unavailable in Free and Standard editions
Pair-specific challenges
Migration approach
Discovery and edition alignment
We audit the source Jarvi environment across candidate volume, contact volume, job count, pipeline stage schema, custom field definitions, attachment file count, and activity timeline depth. We pair this with a Zoho Recruit edition assessment: Free covers 1 active job and has no custom fields; Standard ($25/user) supports 50 custom fields per module and 10 active jobs; Professional ($50/user) supports 300 custom fields per module, Zia AI, and 250 active jobs; Enterprise ($75/user) adds Blueprint automation, custom roles, and 750 active jobs. The discovery output is a written scope document and a Zoho edition recommendation.
Schema preparation and custom field provisioning
Before any data moves, we create the destination custom fields in Zoho Recruit matching Jarvi's field definitions (text, number, date, dropdown, lookup). If the custom field count exceeds the Standard tier limit of 50 per module, we recommend a Professional upgrade or consolidate overflow fields. We configure Zoho Sales Processes and stage picklist values matching Jarvi's pipeline stage schema (stage names, ordering, probabilities, win/loss states). We create any missing Zoho Users referenced as Owners in Jarvi and flag any Jarvi Owner who has an existing separate Zoho Recruit account that must be closed.
Data extraction with Last Name resolution
We extract data from Jarvi in dependency order: Companies (first, because Contact and Candidate link to them), then Contacts, then Candidates, then Jobs, then Activities and Conversations, then Attachments. During extraction, we apply the 'not provided' placeholder to any record missing a Last Name value to satisfy Zoho's mandatory field requirement. We chunk the candidate export into batches to handle Jarvi's unpaginated endpoint, flag the count before extraction begins, and stream the response to avoid timeout. We extract the full pipeline stage schema alongside each Job record.
Sandbox validation and mapping sign-off
For migrations exceeding 5,000 records or involving custom objects, we run a validation pass into a Zoho Sandbox or a limited production scope (first 500 candidates and contacts) before committing the full dataset. The customer's admin reviews 25-50 spot-checked records against the Jarvi source, validates that stage mappings match the expected workflow, and signs off the field mapping document. Any custom field type mismatches, missing picklist values, or pipeline stage gaps are corrected in Zoho before the full migration begins.
Production migration in dependency order
We run production migration in record-dependency order: Clients (from Jarvi Companies), Contacts (with Last Name resolved and Account lookup resolved), Candidates (with Last Name resolved and Client/Contact associations), Job Openings (with stage configuration applied), Activities and Conversations (mapped to Tasks, Events, and EmailMessage), Attachments (uploaded to Document Library and linked), and Custom Fields (populated on the relevant records). Each phase emits a row-count reconciliation report before the next phase begins. We apply a delta migration window at the end to capture any records modified during the migration window.
Cutover, validation, and automation handoff
We freeze Jarvi writes during cutover and run a final delta pass of any records created or modified during the migration window. We deliver a written inventory of Jarvi workflows and outreach sequences for the admin to rebuild in Zoho Workflow Rules and Blueprint. We provide a one-week hypercare window to resolve reconciliation issues raised by the recruiting team. We do not rebuild Jarvi automations as Zoho Workflow Rules or Blueprint configurations within the migration scope; that work is a separate engagement or an internal admin task.
Platform deep dives
Jarvi
Source
Strengths
Weaknesses
Zoho Recruit
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 Jarvi and Zoho Recruit.
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
Jarvi: Not publicly documented..
Data volume sensitivity
Jarvi 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.
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FAQ
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