Helpdesk migration
Field-level mapping, validation, and rollback between Glassix and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Glassix
Source
Zendesk
Destination
Compatibility
8 of 10
objects map 1:1 between Glassix and Zendesk.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Glassix to Zendesk is a multi-channel consolidation plus data restructuring. Glassix organizes interactions into Tickets flowing through Channels (email, chat, WhatsApp, social) with AI chatbot auto-responses; Zendesk separates channel integration (Chat, Talk, Guide) from the core Ticket object. We begin by verifying the Glassix workspace tier because Starter workspaces have zero API access, which blocks migration initiation entirely. On Growth and Enterprise, we extract Tickets with custom fields, Customer profiles with interaction history, Agent records with department assignments, and full conversation threads. Zendesk's Group model replaces Glassix's Department structure, and channel types from Glassix (WhatsApp, Apple Messages, Instagram) map to Zendesk's channel integration architecture. We do not migrate AI chatbot configurations, Workflow automation rules, or rendered analytics dashboards; we deliver a written inventory of these for the customer's admin to rebuild in Zendesk Admin Center. Knowledge base articles export as HTML and import into Zendesk Guide with section hierarchy preserved.
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 Glassix 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.
Glassix
Ticket
Zendesk
Ticket
1:1Glassix Tickets map to Zendesk Tickets with status, priority, assignee, department, and channel origin preserved. The Glassix channel_origin field becomes a tag or custom field in Zendesk indicating the originating channel (email, chat, WhatsApp, Facebook, Instagram, Apple Messages). Custom fields extend Ticket via setField in Glassix and become Zendesk custom fields; we identify the schema during scoping and create matching Zendesk field definitions (text, dropdown, checkbox, numeric, date) before import.
Glassix
Customer
Zendesk
End User (User)
1:1Glassix Customer profiles map to Zendesk End Users. Contact details (name, email, phone), channel opt-in flags, and interaction history summary migrate as User fields and a custom interaction_count field. If the destination Zendesk uses Organizations, we map Glassix Customers to Users attached to an Organization based on domain matching.
Glassix
Agent
Zendesk
Agent (Agent)
1:1Glassix Agent records (name, email, role, department, availability status) map to Zendesk Agents. Department assignments from Glassix map to Zendesk Groups, which we create during schema setup. Role terminology differs: Glassix uses Admin/Agent terminology while Zendesk uses Agent/CAdmin; we map these to Zendesk roles during import.
Glassix
Conversation (Message)
Zendesk
Ticket Comments (Activity)
1:1Glassix Conversations are threaded message records attached to Tickets. We preserve full message chronology including internal notes, public replies, attachments, and timestamp sequences as Zendesk Ticket Comments. Channel-specific metadata (WhatsApp message ID, chat session ID) migrates as comment attributes or tags. Message ordering is preserved by setting the Zendesk created_at timestamp to the original Glassix message timestamp.
Glassix
Channel
Zendesk
Channel Integration
1:1Glassix Channels define communication mediums (email, chat, WhatsApp, Facebook, Instagram, Apple Messages). We map channel types to Zendesk's channel integration model: email routes natively through Zendesk, chat routes through Zendesk Chat or Sunshine Conversations, WhatsApp and messaging routes through Sunshine Conversations or Zendesk's channel apps. The mapping document specifies which Zendesk product each Glassix channel maps to, as this may require activating additional Zendesk products post-migration.
Glassix
Department
Zendesk
Group
1:1Glassix Departments group agents and route tickets by organizational unit. We map Department names to Zendesk Groups, creating equivalent structures during schema setup. Agent assignments in Glassix Tickets are translated to Zendesk Group membership, and individual ticket assignee fields are resolved through the Agent-to-Agent mapping.
Glassix
AI Chatbot
Zendesk
Bot (inventory only)
lossyGlassix chatbot configurations include trigger rules, response templates, and training data. We extract chatbot logic and document it as a written inventory with trigger conditions, response templates, and handoff rules. This inventory is delivered to the customer's Zendesk admin for rebuilding in Zendesk's Bot Builder or for configuring equivalent automation rules in Zendesk Flows. We do not migrate chatbot logic as executable code.
Glassix
Workflow (Automation Rules)
Zendesk
Trigger / Automation (inventory only)
lossyGlassix Workflows automate ticket routing, escalation, and automated responses based on conditions. We extract workflow rules and deliver them as a written inventory documenting trigger events, condition logic, and action sequences. The customer's Zendesk admin rebuilds these as Triggers, Automations, or Flows in the Zendesk Admin Center. We flag any Glassix workflow triggers that have no Zendesk equivalent (such as channel-specific routing tied to Glassix's built-in voice infrastructure) for manual redesign.
Glassix
Custom Fields (Tickets)
Zendesk
Custom Fields (Tickets)
1:1Glassix custom fields extend the Ticket object with customer-defined properties. We identify the full custom field schema during scoping, including field types (text, number, date, dropdown, checkbox). Each field is created in Zendesk with a matching type and API name before ticket import. Zendesk stores custom field values in a custom_fields array keyed by field ID; we map Glassix field IDs to Zendesk field IDs during extraction.
Glassix
KB Article
Zendesk
Guide Article
1:1Glassix Knowledge Base articles power chatbot responses and self-service. We export article content, categories, section hierarchy, and article-to-category associations. Articles import into Zendesk Guide with HTML content preserved, section placement mapped from Glassix categories, and article author and publication date as metadata. Guide must be activated in the Zendesk account before import begins.
| Glassix | Zendesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer | End User (User)1:1 | Fully supported | |
| Agent | Agent (Agent)1:1 | Fully supported | |
| Conversation (Message) | Ticket Comments (Activity)1:1 | Fully supported | |
| Channel | Channel Integration1:1 | Fully supported | |
| Department | Group1:1 | Fully supported | |
| AI Chatbot | Bot (inventory only)lossy | Fully supported | |
| Workflow (Automation Rules) | Trigger / Automation (inventory only)lossy | Fully supported | |
| Custom Fields (Tickets) | Custom Fields (Tickets)1:1 | Mapping required | |
| KB Article | Guide Article1:1 | 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.
Glassix gotchas
Starter tier blocks all API access during migration
Rate limits vary significantly by subscription tier
AI capabilities are add-on pricing, not core tier inclusion
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
Workspace tier assessment and API verification
We verify the Glassix workspace tier from Settings > Developers > API Keys. If the workspace is on Starter, we halt the API-based migration plan and propose either a manual CSV export approach (without conversation history) or a workspace upgrade to Growth or Enterprise. For Growth and Enterprise workspaces, we run a connection test against the Glassix REST API endpoints, measure the observed rate limit, and confirm ticket count, customer count, and conversation volume estimates. This determines the extraction pacing strategy for the full migration.
Schema discovery and Zendesk environment preparation
We pull the Glassix custom field schema (field names, types, and IDs from setField definitions), department structure, channel type inventory, and knowledge base article hierarchy. In Zendesk, we create matching custom fields, Groups mapped from Glassix Departments, and activate Zendesk Guide if KB article migration is in scope. We disable Zendesk triggers and automations temporarily to prevent notification spam during data load.
Mapping design and sandbox validation
We design the object mapping document covering Ticket field mapping (including custom field ID translation), Customer-to-User mapping with Organization attachment logic, Agent-to-Agent mapping by email, and Channel-to-integration mapping. We run a sandbox migration with a subset of records (typically 100-500 tickets) into a test Zendesk environment to validate field mapping accuracy, tag generation from Glassix channel types, and conversation thread integrity. The customer reviews sandbox output before production migration begins.
Data extraction with rate-limit handling
We extract Glassix data in dependency order: Agents (resolved first for assignee mapping), Customers (for requester mapping), Departments (for Group creation), Tickets (with custom fields via setField), Conversations (threaded to tickets), and KB Articles. Each extraction run respects the Glassix tier rate limit with exponential backoff on 429 responses. For Growth workspaces, we paginate extractions across multiple sessions to avoid ceiling hits. All records are stamped with the original Glassix ID for reconciliation.
Production migration and cutover
We run the full production migration using Zendesk's REST API (for standard record types) with batch chunking. Conversation history migrates as ticket comments with timestamps preserved. After ticket import completes, we import KB articles into Zendesk Guide with section hierarchy. We run a row-count reconciliation comparing Glassix source totals against Zendesk destination totals for each object. After reconciliation sign-off, we enable Zendesk as the system of record and redirect channel integrations.
Chatbot and workflow inventory delivery
We deliver the chatbot configuration inventory documenting Glassix AI chatbot triggers, response templates, and handoff rules with recommended Zendesk Bot Builder equivalents. We deliver the workflow inventory documenting Glassix automation rules with recommended Zendesk Trigger and Automation equivalents. We do not rebuild these in Zendesk as part of the migration scope; the customer's admin uses the inventory documents to configure Zendesk manually or engages a Zendesk implementation partner for automation rebuild.
Platform deep dives
Glassix
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. All 7 core objects map 1:1 between Glassix and Zendesk.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Glassix and Zendesk.
Object compatibility
All 7 core objects map 1:1 between Glassix and Zendesk.
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
Glassix: Max 30 token requests/min across all tiers; per-endpoint per-minute and per-hour limits vary by tier — returns 429 Too Many Requests when exceeded.
Data volume sensitivity
Glassix 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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