Helpdesk migration
Field-level mapping, validation, and rollback between Dixa and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Dixa
Source
Zendesk
Destination
Compatibility
8 of 10
objects map 1:1 between Dixa and Zendesk.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Dixa and Zendesk differ fundamentally in how they model conversations and routing logic. Dixa treats every interaction as a Conversation regardless of channel, auto-tags each one for internal queue routing, and stores routing-intent metadata that has no direct Zendesk equivalent. Zendesk uses Tickets as the primary support unit with a separate Tags system, requiring explicit value mapping for Dixa's auto-routing tags. Voice call history does not export via Dixa's standard API and must be sourced separately from your connected telephony provider. We sequence the migration by exporting Conversations first (since Messages carry a foreign key to the parent conversation ID), mapping Dixa Teams to Zendesk Groups, and preserving agent-to-team assignments as a separate mapping step. Workflow Automation and Intelligent Routing configurations are non-exportable via Dixa's API; we document them during scoping and deliver a written rebuild guide for your admin to recreate in Zendesk. Knowledge Base articles migrate as standalone content with their category hierarchy mapped to Zendesk Guide sections.
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 Dixa 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.
Dixa
Conversation
Zendesk
Ticket
1:1Dixa Conversations map to Zendesk Tickets as the primary migration unit. Each Conversation's channel type (phone, email, chat, social) maps to the Zendesk ticket's channel via the channel field or ticket form. Conversation status (open, pending, resolved, closed) maps to Zendesk Ticket Status with the original Dixa status preserved in a custom field for reconciliation. Subject and first-message body become Ticket subject and the initial comment. Custom fields on Dixa Conversations map to Zendesk ticket custom fields by matching field name and type — dropdown to single-select, checkbox to boolean, text to text. We export Conversations via Dixa's Exports API using time-range or conversation ID list queries before exporting Messages.
Dixa
Message
Zendesk
Ticket Comment
1:1Dixa Messages are children of Conversations and export separately via the Exports API. Each Message references its parent conversation ID which we use to associate the comment with the correct Zendesk Ticket. Message author (agent or customer) determines whether the comment is public (reply from agent) or internal (note). Agent replies become public Ticket Comments; internal notes become Zendesk Ticket Comments marked as internal. We join Messages to Conversations in the migration staging layer so that parent-record dependencies are resolved before any child records are inserted into Zendesk. Message timestamps preserve the original Dixa created_at value for activity timeline ordering.
Dixa
Customer (Contact)
Zendesk
End User
1:1Dixa Customer profiles (name, email, phone, custom properties, conversation history) map to Zendesk End Users. Email address is the dedupe key. Dixa's customer timeline — displaying conversation history and order history where integrated — does not have a native Zendesk equivalent; we preserve it as a custom field array or as a structured note attached to the End User record. Any Dixa custom properties on the customer profile migrate to Zendesk End User custom fields matched by name and type. We map customers before Conversations so that the requester relationship is satisfied at the moment of ticket import.
Dixa
Agent
Zendesk
Agent (User)
1:1Dixa Agent records (name, email, presence status, role) map to Zendesk Agent User records. We match by email address. Agent-to-team assignments from Dixa migrate as Zendesk Group memberships — each Dixa Team becomes a Zendesk Group and the agent's team membership becomes membership in the corresponding Zendesk Group. Any Dixa role (admin, supervisor, agent) maps to a Zendesk role (admin, agent) with the understanding that Dixa's supervisor role has no direct Zendesk equivalent and is documented for the customer's admin to configure post-migration. Agents without matching Zendesk User records go to a reconciliation queue for admin provisioning before record import.
Dixa
Team
Zendesk
Group
1:1Dixa Teams are organizational units that group agents and own routing queues. Team names and structures export cleanly from Dixa. We map them to Zendesk Groups as the nearest equivalent organizational unit. Dixa team-level SLA settings, operating hours, and queue configurations are Dixa-platform configurations that do not export via API — these are documented during scoping as configuration items requiring manual rebuild in Zendesk Admin (SLA Policies, Business Rules). The customer's admin must recreate queue-level logic as Zendesk Views, Triggers, or Macros post-migration.
Dixa
Tag
Zendesk
Tag
lossyDixa auto-tags every conversation for routing purposes regardless of channel — these tags reflect internal queue logic and customer priority, not external-facing labels. Direct one-to-one mapping to Zendesk Tags is rarely possible because Dixa routing-intent tags have no standard Zendesk equivalent. We map each Dixa tag value explicitly: the customer's admin reviews the Dixa tag inventory during scoping and decides which tags map to Zendesk Tags and which are routing metadata to discard. Any tags used for both routing and reporting are flagged as requiring a dual mapping strategy (tag plus a custom field) to preserve reporting continuity.
Dixa
Rating / CSAT
Zendesk
Ticket Satisfaction Rating
1:1Dixa post-conversation CSAT ratings (score, submission timestamp, linked conversation ID) migrate to Zendesk Ticket Satisfaction Rating records linked to the corresponding Zendesk Ticket. Ratings without a linked conversation record are flagged as orphaned and excluded from migration with a count reported in the reconciliation summary. The Zendesk Satisfaction Rating API must be enabled in the destination account before this object migrates.
Dixa
Knowledge Base Article
Zendesk
Guide Article
1:1Dixa Knowledge Base articles (title, body content, category, metadata) export as standalone objects. We map them to Zendesk Guide Articles within the customer's Help Center. Article categories map to Zendesk Guide Sections; top-level categories map to Zendesk Guide Categories. Articles tied to Dixa routing or conversation context carry metadata that does not have a Zendesk equivalent — we preserve this as article notes or comments. Zendesk Guide must be activated in the destination account before article import; Guide hierarchy (Category > Section > Article, up to five levels) must be pre-created to match Dixa's category structure.
Dixa
Attachment
Zendesk
Ticket Attachment
1:1Dixa attachments are linked by file path within conversation records rather than stored as standalone binary objects in the export. We preserve file path references and extract binary attachments where accessible via the Dixa API. Attachments migrate as Zendesk Ticket Attachments linked to the corresponding Ticket Comment. Attachments exceeding Zendesk's file size limits or those stored at inaccessible paths are flagged in the reconciliation report. Inline images within article body content migrate as separate file attachments to the Guide Article.
Dixa
Channel
Zendesk
Ticket Channel
lossyDixa unifies Phone, Email, Chat, Facebook Messenger, Instagram, Twitter, and WhatsApp as conversation channels, with channel type stored as a field on each conversation record. Zendesk determines channel by the ticket form used, the email address associated with the ticket, or the channel-specific app (Chat, Talk, Messaging) active on the account. We map Dixa channel type to the corresponding Zendesk channel via a lookup table at migration time. If the customer licenses Zendesk Talk or Zendesk Messaging separately, those channels require additional configuration outside the data migration scope.
| Dixa | Zendesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| Message | Ticket Comment1:1 | Fully supported | |
| Customer (Contact) | End User1:1 | Fully supported | |
| Agent | Agent (User)1:1 | Fully supported | |
| Team | Group1:1 | Fully supported | |
| Tag | Taglossy | Fully supported | |
| Rating / CSAT | Ticket Satisfaction Rating1:1 | Fully supported | |
| Knowledge Base Article | Guide Article1:1 | Fully supported | |
| Attachment | Ticket Attachment1:1 | Fully supported | |
| Channel | Ticket Channellossy | 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.
Dixa gotchas
Agent-based pricing with minimum seat count may inflate migration cost
Per-minute telephony records not exported via standard API
Auto-tag and routing-intent fields have no standard destination equivalents
API access gated behind Growth+ tiers with published overage price list
Workflow and routing rule logic is non-exportable via API
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and scope confirmation
We audit the source Dixa account across plan tier (Growth/Ultimate/Prime), conversation volume by channel, active agent count, custom fields on conversations and customer profiles, Knowledge Base article count, and tag inventory. We confirm whether voice history is in scope and whether telephony export data is available separately. We identify Dixa Teams and agent-to-team assignments for Group mapping. We document active Workflow Automation and Intelligent Routing configurations as a manual inventory task for the customer's admin. We confirm the Dixa plan tier and API rate limits before scheduling exports.
Dixa data export via Exports API
We export Dixa data in dependency order: Conversations first (since Messages carry a foreign key to the parent conversation ID), then Messages, then Customers, then Agents, then Teams, then Tags, then Ratings, then Knowledge Base Articles. We use Dixa's Exports API with time-range queries or conversation ID lists and apply staggered export windows if the customer's plan tier imposes rate limits. Attachments are extracted separately with file path references preserved. We run a row-count reconciliation against the export manifest before proceeding to staging.
Zendesk destination preparation
We configure the Zendesk destination before any data imports. This includes activating Zendesk Guide if Knowledge Base articles are in scope, pre-creating custom fields on tickets and users with types matched to Dixa field types, pre-creating Groups mapped from Dixa Teams, pre-creating Sections and Categories for Knowledge Base hierarchy, and disabling Triggers and Automations that would fire on imported historical tickets. We enable the Satisfaction Rating API if CSAT ratings are in scope. All configuration is validated in a Zendesk sandbox or staging environment before production import begins.
Staging, transformation, and mapping
We stage all exported Dixa records in a migration workspace. We apply the routing-tag value mapping agreed upon during scoping, split auto-routing tags from reporting tags, and flag any unmapped tag values. We transform Conversation status to Zendesk Ticket Status, map Dixa channel types to Zendesk channel via the lookup table, and resolve parent-record foreign keys (Messages to Conversations, Tickets to End Users, Ticket Comments to Tickets and Users). We preserve Dixa routing metadata as a custom field where the customer's admin has requested dual-strategy tag mapping. We run a staging validation pass before Zendesk import begins.
Production import in dependency order
We import into Zendesk in record-dependency order: End Users (from Dixa Customers), Agents (from Dixa Agents with Group memberships resolved), Groups (from Dixa Teams), Tickets (from Dixa Conversations with requester and assignee resolved), Ticket Comments (from Dixa Messages linked to parent Tickets), Tags (applied to Tickets), Satisfaction Ratings, and finally Guide Articles (with section and category hierarchy pre-created). We use Zendesk's API or import tools with batch chunking, rate-limit handling, and exponential backoff. Each phase emits a row-count reconciliation report before the next phase begins. We tag migrated tickets with a migrated_from_dixa label so they can be excluded from Zendesk automations.
Cutover, validation, and workflow rebuild handoff
We freeze Dixa writes during cutover, run a final delta migration of any records modified during the migration window, then enable Zendesk as the system of record. We deliver the Workflow and Routing Rule inventory document to the customer's admin team with recommended Zendesk equivalents. We provide a one-week hypercare window where we resolve any reconciliation issues raised by the support team. We do not rebuild Dixa Workflows or Routing Rules as Zendesk Triggers or Automations inside the migration scope; that is a separate configuration workstream. Knowledge Base rebuild recommendations are included in the handoff document if Guide was not pre-configured.
Platform deep dives
Dixa
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 2 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 Dixa and Zendesk.
Object compatibility
2 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
Dixa: Per-token limits documented per organization; specific limits not publicly disclosed.
Data volume sensitivity
Dixa exposes a bulk API — large-volume migrations stream efficiently.
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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