Helpdesk migration
Field-level mapping, validation, and rollback between Hiver and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Hiver
Source
Freshdesk
Destination
Compatibility
11 of 12
objects map 1:1 between Hiver and Freshdesk.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Hiver to Freshdesk requires translating a Gmail-thread-centric data model into a standalone ticket system. Hiver structures every customer interaction as a Conversation inside a Shared Inbox, tied to Gmail threads by subject and participant. Freshdesk uses Tickets as the primary object, organized by Groups and Products rather than Shared Inboxes, with a separate Contact and Company model. We extract Conversations with assignee, status, tags, and Shared Notes, then map each Shared Inbox to a Freshdesk Group or Product category depending on the customer's routing structure. Hiver's Automation rules have no export path and must be manually reconstructed; we deliver a written inventory of every rule during scoping. Email Templates export cleanly; Shared Drafts require destination-side confirmation of draft acceptance. Freshdesk's API rate limits (200 calls per minute on Growth, 400 on Pro, 700 on Enterprise) govern import speed and require batch chunking on large histories. We do not migrate Automations, Workflows, or reporting dashboards as code.
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 Hiver object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Hiver
Conversation
Freshdesk
Ticket
1:1Hiver Conversations map to Freshdesk Tickets. Each Conversation thread inside a Shared Inbox becomes a Ticket with the Gmail thread subject preserved as Ticket Subject, assignee mapped from Hiver assignee to Freshdesk agent_id, and status translated from open/pending/closed to open/pending/resolved respectively. The original Hiver conversation ID is stored in a custom field for reconciliation. Shared Notes attached to the Conversation migrate as internal Ticket Notes visible to agents but not the requester.
Hiver
Shared Inbox
Freshdesk
Group or Product
lossyHiver Shared Inboxes are top-level containers without a direct Freshdesk equivalent because Freshdesk organizes by Group, Product, or both. During scoping we confirm whether the customer's Shared Inbox structure maps to Freshdesk Groups (agent routing), Products (product-category routing), or a combination. Each Shared Inbox becomes one or more Freshdesk Group or Product entries, and Conversations inherit the mapping from their source Inbox. This is a manual configuration decision confirmed with the customer before migration.
Hiver
Contact
Freshdesk
Contact
1:1Hiver Contact records export as a discrete data type and map directly to Freshdesk Contact. The email address is the dedupe key. If the same contact appears both as a standalone Hiver Contact and within Conversation thread metadata, we deduplicate by email and carry forward the most recent name, phone, and company values. Any contact without an email address is held in a manual review queue because Freshdesk requires email for Contact creation.
Hiver
Tag
Freshdesk
Tag
1:1Hiver tags applied at the Conversation level export as flat labels and map directly to Freshdesk Tags. Tag names and character casing are preserved exactly. If the customer uses tags as a routing signal, we recommend confirming during scoping that the tag taxonomy maps cleanly to Freshdesk's tag model, which supports multi-value tagging on Tickets but not at the Contact or Company level by default.
Hiver
Shared Note
Freshdesk
Internal Note
1:1Shared Notes are internal comments attached to Hiver Conversations and visible to all team members. They map to Freshdesk internal notes on the corresponding Ticket. We confirm with the customer during scoping whether any Shared Notes should be migrated as public Replies instead of internal Notes, since platforms interpret note visibility differently. The author and timestamp of each Shared Note are preserved on the Freshdesk note record.
Hiver
Email Template
Freshdesk
Email Template
1:1Hiver Email Templates export as discrete objects with body, subject, and variable placeholders intact. We import them into Freshdesk Templates using the Freshdesk v2 API. Template body HTML and any conditional logic written in Hiver's template syntax require review in Freshdesk's template editor because the variable syntax differs between platforms.
Hiver
Shared Draft
Freshdesk
Draft
1:1Hiver Shared Drafts are unsent email replies saved within Conversations. We export them as draft records. Freshdesk's API supports draft creation via the Reply endpoint with draft=true, but bulk draft import is not guaranteed across all Freshdesk tiers. We confirm draft acceptance during the scoping demo and flag any draft records that cannot be imported so the customer can decide whether to recreate them manually.
Hiver
Agent
Freshdesk
Agent
1:1Hiver Agent records (name, email, group membership) map to Freshdesk Agent records by email match. Agent group assignments in Hiver's Shared Inbox model translate to Freshdesk Group membership. Any Hiver agent without a matching Freshdesk agent is placed in a reconciliation queue for the customer's Freshdesk admin to provision before record import begins.
Hiver
SLA Policy
Freshdesk
SLA Policy
1:1Hiver SLA policies define business hours and response and resolution deadlines enforced at the Shared Inbox level. We extract the SLA configuration and map it to Freshdesk SLA Policies, which can be applied at the Ticket, Contact, or Account level. Multi-timezone SLA policies in Hiver require confirmation that Freshdesk's business hours configuration supports the same timezone coverage.
Hiver
Custom Field
Freshdesk
Custom Field
1:1Hiver custom fields on Conversations (such as order IDs populated by AI Extract) export as structured data with field name and value. We map each Hiver custom field to a Freshdesk Custom Field of equivalent type: text fields to text, dropdowns to dropdown, numeric values to number fields. We pre-create all custom fields in Freshdesk before migration so the Ticket import can populate them directly.
Hiver
CSAT Survey Response
Freshdesk
Satisfaction Rating
1:1CSAT survey responses tied to resolved Hiver Conversations export with score, response text, and associated Conversation ID. We map them to Freshdesk Satisfaction Ratings on the corresponding migrated Ticket. Survey configuration (questions, rating scale) does not migrate; we document the original Hiver survey setup so the customer's admin can configure equivalent satisfaction surveys in Freshdesk.
Hiver
Analytics Report (CSV)
Freshdesk
Report
1:1Hiver's CSV analytics export is forward-looking only — it captures report data from the export date forward and does not backfill historical SLA, CSAT, or volume metrics. We extract whatever CSV data is available and deliver it alongside the migration. The customer should download any historical analytics they need from Hiver before the migration window. Post-migration reporting begins fresh in Freshdesk's native reporting module.
| Hiver | Freshdesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| Shared Inbox | Group or Productlossy | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Shared Note | Internal Note1:1 | Fully supported | |
| Email Template | Email Template1:1 | Fully supported | |
| Shared Draft | Draft1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| SLA Policy | SLA Policy1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| CSAT Survey Response | Satisfaction Rating1:1 | Fully supported | |
| Analytics Report (CSV) | Report1:1 | 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.
Hiver gotchas
Automations have no export path
Seat minimums and block upgrades affect final pricing
AI add-on is priced separately at $20/seat/month
Analytics export is forward-looking only
Shared Notes visibility intent must be confirmed
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
Pre-migration audit and scoping call
We audit the Hiver account across Shared Inbox count, conversation volume, active Tags, Email Templates, SLA policies, custom fields, and AI Extract configurations. We extract the full Agent roster and confirm which agents are active versus inactive. We document every active Automation rule in detail (trigger, conditions, actions, AI Extract steps) for the customer's written rebuild inventory. We run a scoping call to confirm Shared Inbox-to-Group or Shared Inbox-to-Product mapping logic, Shared Notes visibility preferences, and any AI Extract fields that require Freddy AI configuration in Freshdesk. The output is a signed migration scope document.
Demo migration into Freshdesk sandbox
We run a demo migration using a representative sample of Hiver data — typically 50 to 200 records per object — into the customer's Freshdesk sandbox environment. This validates the Shared Inbox mapping, confirms custom field creation, tests tag reapplication, and confirms ticket threading behavior. The customer reviews the sandbox output and identifies any mapping corrections before production migration begins. Any draft acceptance limitations are confirmed here.
Schema setup in Freshdesk production
We create all custom fields, Groups, Products, SLA Policies, and Tag taxonomy in Freshdesk production before any record import. We configure Ticket status values to match Hiver's open/pending/closed model, set up internal Note versus public Reply defaults for Shared Notes, and pre-populate Email Templates. The customer's Freshdesk admin grants API access and confirms agent provisioning for all active Hiver agents before the migration window.
Data export and transformation
We export Conversations with assignee, status, tags, Shared Notes, and any custom field values from Hiver using the available admin-level export. Contacts export as a separate data type. We transform each Conversation into a Freshdesk Ticket-compatible record, resolving the Hiver assignee email to a Freshdesk agent_id, translating status to Freshdesk status, and mapping Shared Inbox membership to the configured Group or Product. We chunk records into batches sized to stay within the customer's Freshdesk plan rate limits (200 per minute on Growth, 400 on Pro, 700 on Enterprise).
Batch import with rate-limit handling and reconciliation
We import Tickets in rate-limit-aware batches using the Freshdesk v2 API with exponential backoff on 429 responses. Each batch emits a success and failure count. Failed records are retried with a delay. Contacts import after Groups are confirmed to satisfy the requester_id foreign key. Email Templates import as a separate phase. SLA Policies, Tags, and Custom Fields are populated during or before Ticket import depending on dependency order. We produce a row-count reconciliation report comparing Hiver source totals against Freshdesk destination totals for every object type.
Cutover and post-migration handoff
We schedule a cutover window during low ticket volume. The Hiver account is placed in read-only mode or agents are asked to pause new work. We run a final delta migration of any records modified during the migration window. Freshdesk is enabled as the system of record. We deliver the Automation rebuild inventory document to the customer's admin team. We support a 72-hour hypercare window for reconciliation issues raised during the first business days in Freshdesk. We do not rebuild Hiver Automations as Freshdesk Scenario Automations inside the migration scope.
Platform deep dives
Hiver
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk 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 Hiver and Freshdesk.
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
Hiver: Not publicly documented.
Data volume sensitivity
Hiver 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
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