Helpdesk migration

Migrate from Hiver to Zendesk

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

Hiver logo

Hiver

Source

Zendesk

Destination

Zendesk logo

Compatibility

82%

9 of 11

objects map 1:1 between Hiver and Zendesk.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Hiver to Zendesk is a structural migration from a Gmail-native shared-inbox model to a full multi-channel ticketing system. Hiver's Conversations are threads within Shared Inboxes; Zendesk Tickets are individual records that can originate from email, chat, phone, WhatsApp, or social channels. We preserve assignee assignments, status (open/pending/closed), Tags, and Shared Notes during export. Email Templates migrate as Zendesk Macros with variable mapping. The highest-severity gap is Automations: Hiver exposes no bulk export path for trigger/condition/action rules, so every automation a team has built must be manually reconstructed as Zendesk Triggers, Automations, or targets. SLA Policies migrate as configuration objects but require re-authoring in Zendesk's SLA engine. Historical analytics export from Hiver is forward-looking only; CSAT survey configuration migrates as survey metadata with the customer's admin rebuilding survey logic in Zendesk.

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

Hiver logo

Hiver

What's pushing teams away

  • The reporting module is shallow compared to standalone helpdesk platforms — teams that graduate to needing multi-dimensional analytics, custom dashboards, or historical SLA trending find Hiver's native reports insufficient.
  • Performance inconsistencies appear when opening emails that do not pull the Hiver overlay correctly, frustrating agents who rely on instant context switching inside Gmail.
  • Teams that need multi-channel support beyond email and WhatsApp find Hiver's channel coverage limited — live chat, phone, and social channels are either absent or require third-party integrations.
  • When migrating away, the lack of a bulk automation export means every Automation rule must be manually reconstructed in the destination platform, making the migration project significantly larger than expected.

Choosing

Zendesk logo

Zendesk

What's pulling them in

  • Mature omnichannel routing across email, chat, phone, messaging, and social — one unified inbox for support teams regardless of size or complexity.
  • Deep automation with Triggers, Automations, and SLA Policies lets high-volume teams enforce consistent workflows without manual ticket handling.
  • Large ecosystem of third-party integrations and a public app marketplace reduce friction for teams already using Salesforce, Jira, or Slack.
  • Industry-leading brand recognition and trust signal — many enterprise buyers default to Zendesk as a known quantity in vendor procurement cycles.
  • Generous documentation library and community mean onboarding teams can self-configure without needing a services engagement to get started.

Object mapping

How Hiver objects map to Zendesk

Each row shows how a Hiver object lands in Zendesk, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Hiver

Conversation

maps to

Zendesk

Ticket

1:1
Fully supported

Hiver Conversations (Gmail threads within a Shared Inbox) map to Zendesk Tickets. Each thread becomes one Ticket with the original subject, requester email, and full email body preserved. Status mapping: Hiver open maps to Zendesk open, pending maps to pending, closed maps to solved. Assignee (hubspot_owner_id) resolves by email match against Zendesk User records before insert. Conversation priority from Hiver custom fields maps to Zendesk priority (low, normal, high, urgent). Any Shared Notes on the conversation attach as internal Zendesk Comments visible only to agents.

Hiver

Shared Inbox

maps to

Zendesk

View + Group

lossy
Fully supported

Hiver Shared Inboxes are top-level containers that determine inbox visibility and routing. Each Shared Inbox maps to a Zendesk Group with the same name and member list. In Zendesk, tickets are assigned to Groups rather than Inboxes, so we configure a Group for each Hiver Shared Inbox during the setup phase. If Hiver Shared Inboxes have different SLA policies per inbox, those map to separate Zendesk SLA Policies attached to the corresponding Group.

Hiver

Contact

maps to

Zendesk

User (End-User or Agent)

1:1
Fully supported

Hiver exports Contacts as a discrete data type separate from conversation requesters. We export both the address book contacts and any contacts embedded in conversation threads, then deduplicate on email address. Zendesk creates a User record for each unique contact email. If the contact has an associated agent account in Hiver (assigned as assignee on any Conversation), that contact becomes a Zendesk Agent User with the appropriate role and group membership. Requester-only contacts become Zendesk End-Users.

Hiver

Tag

maps to

Zendesk

Tag

1:1
Fully supported

Hiver conversation tags are flat labels for categorization and routing. We export the complete tag taxonomy and reapply each tag as a Zendesk Tag. In Zendesk, tags are applied at the ticket level and can drive tag-based triggers and views. We preserve the full tag vocabulary including any AI-generated tags from Hiver's AI Tagging feature (part of the $20/seat/month AI add-on). Tag count and density are validated post-migration against the source export.

Hiver

Shared Notes

maps to

Zendesk

Internal Comment

1:1
Mapping required

Hiver Shared Notes are internal comments attached to a Conversation, visible to all team members. We export them as Zendesk internal Comments on the mapped Ticket. During scoping, we confirm with the customer which Shared Notes should be marked internal versus public based on the original visibility intent. Notes from Hiver's address book (not attached to a Conversation) migrate as Zendesk User notes on the corresponding Contact record.

Hiver

Email Template

maps to

Zendesk

Macro

1:1
Fully supported

Hiver Email Templates store subject lines, body content, and variable placeholders for personalization. We export the template schema and map each to a Zendesk Macro. Hiver's template variables (e.g., {{customer.first_name}}, {{ticket.assignee}}) map to Zendesk macro placeholders using Zendesk's {{ticket.requester.name}} and {{agent.name}} syntax. Conditional logic in Hiver templates (available on Pro and Elite tiers) requires manual reconstruction in Zendesk Macros, as conditional branching is not a native macro feature.

Hiver

Shared Draft

maps to

Zendesk

Draft Ticket Comment

1:1
Fully supported

Hiver Shared Drafts are unsent email replies saved within conversations. We export draft body and assignee. Zendesk's API supports creating tickets with initial comments but does not have a native draft concept. We map Shared Drafts to Zendesk tickets in open status with the draft body in the first comment, and flag them in the migration report so the customer admin can identify which tickets still need a final reply sent from Zendesk.

Hiver

Agent / User

maps to

Zendesk

User

1:1
Fully supported

Hiver agent records include name, email, and assignment permissions. We export the full user roster and map roles to equivalent Zendesk permission structures: Hiver Lite/Growth agents map to Zendesk Agent role; Hiver admins map to Zendesk Admin role. Owner assignment on Conversations carries over via email-matched User resolution. Any Hiver user without a matching Zendesk User account is placed in a reconciliation queue for the customer's admin to provision before record import.

Hiver

SLA Policy

maps to

Zendesk

SLA Policy

lossy
Fully supported

Hiver SLA Policies define business hours and response/resolution deadlines enforced at the Shared Inbox level. We extract the SLA configuration (first response time, next response time, resolution time, business hours schedule) and recreate it in Zendesk's SLA Policy engine. Hiver's SLA enforcement logic (auto-escalation, reminder triggers) is not migratable and is documented as a separate step for the customer's admin to configure in Zendesk Triggers or targets.

Hiver

Custom Field

maps to

Zendesk

Custom Field

1:1
Fully supported

Hiver custom fields on conversations (e.g., order ID captured via AI Extract, account tier) are exported with their field schema and values. Each custom field maps to a Zendesk Ticket custom field of equivalent type: Hiver text fields map to Zendesk text, dropdowns to dropdown, checkboxes to checkbox. We preserve field values on each Conversation record and import them into the corresponding Zendesk custom field on the mapped Ticket.

Hiver

CSAT Survey

maps to

Zendesk

Satisfaction (CSAT)

1:1
Fully supported

Hiver CSAT survey responses and aggregate scores tied to resolved conversations migrate as Zendesk Satisfaction records. Survey configuration (questions, rating scale, trigger conditions) does not have a bulk export path and must be manually reconfigured in Zendesk's Survey settings. We document the original Hiver survey logic (question text, scale, routing conditions) in the migration scope document for the customer's admin to rebuild as Zendesk Satisfaction targets.

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.

Hiver logo

Hiver gotchas

High

Automations have no export path

Medium

Seat minimums and block upgrades affect final pricing

Medium

AI add-on is priced separately at $20/seat/month

Low

Analytics export is forward-looking only

Low

Shared Notes visibility intent must be confirmed

Zendesk logo

Zendesk gotchas

High

Data export requires API scripting on non-Enterprise plans

Medium

Automations cap at 500 active rules and 1,000 tickets per hour

Medium

Help Center has no native export feature

High

Custom Objects and full data export are Enterprise-only

Pair-specific challenges

  • Automations have no export path and must be manually rebuilt

    Hiver's own data export documentation lists Conversations, Email Templates, Shared Drafts, and Contacts as exportable — Automations are explicitly excluded. There is no API endpoint for bulk automation export. Every trigger/condition/action rule a team has built (auto-assignments, tag triggers, SLA reminders, AI Extract steps) must be manually reconstructed in Zendesk as Triggers, Automations, or targets. We document all automation logic during pre-migration audit as a written inventory with trigger, conditions, actions, and a Zendesk equivalent recommendation. This inventory is delivered to the customer before cutover so their admin can begin reconstruction in parallel with or before data migration.

  • Email Templates require macro reconstruction for conditional logic

    Hiver Email Templates on Pro and Elite tiers support conditional logic branches (if/then content display based on ticket properties). Zendesk Macros do not natively support conditional branching in the same way — macro content is static unless supplemented with Dynamic Content placeholders. We export all Hiver template body content and map simple variable substitution to Zendesk Dynamic Content. Any conditional logic branches in Hiver templates are documented as a separate reconstruction task for the customer's admin in Zendesk, as there is no equivalent automated conditional template feature.

  • Analytics export is forward-looking only — historical reports not back-filled

    Hiver's CSV-based analytics export captures report data going forward from the export date. Historical SLA performance, CSAT trends, ticket volume by channel, and agent workload reports prior to the export date are not accessible via bulk export. We confirm with the customer which historical reports they need before the migration window and recommend downloading those directly from Hiver's reporting UI before cutover. In Zendesk, reporting begins from the migration date. This is a scoping call decision point, not a technical limitation we can resolve during migration.

  • Zendesk Guide knowledge base requires manual activation and structure

    Zendesk Guide is a separate product from Zendesk Support and must be manually activated, configured, and released before content can be served to end users. Hiver has no native knowledge base product, so teams migrating from Hiver to Zendesk are typically setting up Zendesk Guide for the first time. We do not migrate a knowledge base from Hiver because none exists in the source platform. If the customer has knowledge base content in a connected tool (Google Sites, Notion, Confluence), we can migrate that content to Zendesk Guide as a separate engagement scope.

  • Multi-channel ticket routing in Zendesk requires upfront configuration

    Zendesk Tickets can originate from email, web widget chat, phone, WhatsApp, and social channels, each with different routing and escalation requirements. Hiver's multi-channel support is limited to email and WhatsApp, so teams migrating to Zendesk are often implementing chat and phone routing for the first time. We configure Zendesk channel routing targets and email incoming email addresses during migration, but phone and chat channel setup (Zendesk Talk and Chat product configuration, IVR routing, queue configuration) is handled separately by the customer's admin or a Zendesk implementation partner.

Migration approach

Six steps for a successful Hiver to Zendesk data migration

  1. Pre-migration audit and automation inventory

    We audit the Hiver account across all Shared Inboxes, extracting conversation counts, contact volumes, tag taxonomy, Email Template schemas, SLA policy configurations, CSAT survey settings, and custom field definitions. We inventory every Automation rule with its trigger, conditions, actions, and AI Extract steps for the written reconstruction guide. We confirm with the customer which Shared Notes should be treated as internal versus public and whether historical analytics downloads are needed before the migration window. The audit output is a written migration scope document with record counts, mapping rules, and an automation rebuild inventory.

  2. Zendesk environment preparation

    We create Zendesk Groups matching each Hiver Shared Inbox, configure SLA Policies from the extracted Hiver SLA definitions, create Zendesk Ticket custom fields matching the Hiver custom field schema, and set up Tags matching the full Hiver tag taxonomy. We activate Zendesk Guide if the customer is planning a knowledge base migration from an external source. User accounts are provisioned for each Hiver agent with matching roles (Agent or Admin). Shared Inbox membership maps to Group membership. Zendesk channel routing targets (email addresses, web widget, Talk) are configured for the channels the customer plans to activate.

  3. Test migration into Zendesk Sandbox

    We run a full migration into a Zendesk Sandbox using production-like data volume to validate mapping correctness before production cutover. The customer reconciles record counts (Tickets in, Users in, Tags applied), spot-checks conversation-to-ticket conversion and note visibility, validates SLA policy attachment, and confirms macro content on a sample of tickets. Any field mapping corrections, tag adjustments, or SLA policy corrections happen in Sandbox before production migration begins.

  4. User and contact migration with dedup

    We export Hiver contacts as a discrete data type and import them as Zendesk Users, deduplicating on email address against any existing Zendesk Users. Agent contacts are imported as Zendesk Agent Users with roles matched to their Hiver permissions. After user import, we validate that every assignee reference on Conversations can resolve to a Zendesk User before proceeding to ticket import.

  5. Ticket migration in dependency order

    We migrate Conversations to Zendesk Tickets in record-dependency order: tickets first (with requester resolved to a User record, assignee resolved to a User record, status mapped, tags applied, and Shared Notes imported as internal Comments). Email Templates migrate as Zendesk Macros with variable substitution applied. Shared Drafts migrate as open tickets with draft body in the first comment and a migration flag for customer follow-up. SLA Policies are attached to tickets based on the original Shared Inbox-to-Group mapping. Custom field values migrate into Zendesk custom fields on each ticket.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Hiver writes during cutover, run a final delta migration of any conversations created or modified during the migration window, then switch the customer to Zendesk as the system of record. We deliver the Automation rebuild inventory document with trigger descriptions, conditions, and recommended Zendesk Trigger or target equivalents. We support a one-week hypercare window for reconciliation issues. We do not rebuild Hiver Automations as Zendesk Triggers or targets inside the migration scope; that work is scoped separately or handled by the customer's Zendesk admin using the delivered inventory.

Platform deep dives

Context on both ends of the pair

Hiver logo

Hiver

Source

Strengths

  • Runs entirely inside Gmail — no portal to switch to, agents stay in their inbox
  • Shared inbox and conversation assignment give managers real-time visibility of team workload
  • Automation rules with trigger/condition/action logic require no developer involvement to build
  • 2-seat minimum with block-based upgrades keeps pricing predictable for small teams
  • AI features (summarizer, sentiment analysis, AI Extract) are add-on priced and not forced on all tiers

Weaknesses

  • Automation rules cannot be exported — every rule must be manually rebuilt at the destination
  • Native reporting is shallow compared to standalone helpdesk platforms like Zendesk or Freshdesk
  • Performance inconsistencies when the Hiver Chrome extension does not load correctly on email open
  • Multi-channel coverage beyond email and WhatsApp is limited — live chat, phone, and social are gaps
  • The standalone web app is still under development, meaning the Chrome extension is currently required
Zendesk logo

Zendesk

Destination

Strengths

  • Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center.
  • Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution.
  • Multi-brand support enables large organizations to route and isolate support by product line or subsidiary.
  • Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options.
  • Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.

Weaknesses

  • Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited.
  • No native full-KB export — Help Center content requires API scripting to extract.
  • AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows.
  • Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months.
  • Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

Complexity grading

How hard is this migration?

Standard Helpdesk 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 Hiver and Zendesk.

  • 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

    Hiver: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Hiver to Zendesk 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 Hiver to Zendesk data migrations

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

Can't find your answer?

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Most migrations land between two and four weeks for accounts under 15,000 Conversations with no custom SLA policies or complex automation libraries. Migrations with active SLA policies, CSAT survey history, dense tag taxonomies (over 200 unique tags), or over 50,000 Conversations move to six to ten weeks because of SLA re-authoring, survey logic documentation, and macro reconstruction scope. Automations add variable timeline impact depending on the number of rules: we document them during audit but do not rebuild them as Zendesk Triggers inside migration scope.

Adjacent paths

Related migrations to explore

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