Helpdesk migration
Field-level mapping, validation, and rollback between Logicalware and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Logicalware
Source
Zendesk
Destination
Compatibility
8 of 10
objects map 1:1 between Logicalware and Zendesk.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Logicalware to Zendesk is a recovery migration, not a standard platform switch. Logicalware dissolved in April 2023 after its acquisition by Puzzel, leaving no active vendor, no API, and no developer portal. All migrations must work from whatever export artifacts the customer still possesses, making scoping and export validation the first critical step before any data moves. We handle the complete Logicalware object set including Tickets, Contacts, Companies, Conversation threads, and Attachments, resolving channel-thread splitting issues where multi-channel threads in Logicalware must become separate comment entries in Zendesk. Agent accounts associated with the defunct @logicalware.com domain are remapped to designated Zendesk owners during migration. Custom field coverage depends entirely on what the export file contains; we document every field present and flag any gaps rather than populating nulls silently. We do not migrate automations, macros, or views; these require manual rebuild in Zendesk using the documentation we deliver post-scoping.
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 Logicalware 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.
Logicalware
Ticket
Zendesk
Ticket
1:1Logicalware Tickets map directly to Zendesk Tickets. The ticket ID, subject, body (description), status, priority, and created-at and updated-at timestamps migrate. Logicalware status values (Open, Pending, Resolved, Closed) map to Zendesk ticket status (Open, Pending, Solved, Closed). Priority maps to Zendesk priority (Low, Normal, High, Urgent) using a value-map we define during scoping. Original Logicalware ticket IDs are preserved in a custom field lwr_original_id__c for cross-reference.
Logicalware
Customer
Zendesk
End User
1:1Logicalware Customer contact records map to Zendesk End Users (the requester on a ticket). The email address is the primary identifier and dedupe key. Name fields map to name. Phone numbers map to phone. If the same email appears on multiple Logicalware tickets, we create one Zendesk End User and link all associated tickets to it.
Logicalware
Company
Zendesk
Organization
1:1Logicalware Company records map to Zendesk Organizations. Company name becomes the Organization name. Where a Company has no associated Customer records in the export, we note it as a potential orphaned organization and flag it for the customer's admin to either merge or leave as a reference record.
Logicalware
Conversation
Zendesk
Ticket Comment
1:1Logicalware Conversation message events map to Zendesk Ticket Comments. Each message event within a thread becomes a separate comment entry ordered by timestamp. The sender (agent or customer) and the message body migrate. Channel metadata from Logicalware (email, chat, SMS, WhatsApp, social) is preserved in a custom field lwr_channel__c on the comment rather than natively in Zendesk because Zendesk does not support mixed-channel thread contexts. This means the original single-threaded Logicalware conversation may appear as separate comment segments in Zendesk.
Logicalware
Agent
Zendesk
Agent
1:1Logicalware Agent records include name, email, and role. We map agent assignment on migrated tickets by matching the Logicalware agent email against a provided Zendesk agent list. Any Logicalware agent with a @logicalware.com email address is flagged as stale and remapped to a designated replacement owner the customer provides during scoping. Agents without a Zendesk match go to a reconciliation queue.
Logicalware
Channel
Zendesk
Custom Field (lwr_channel__c)
lossyLogicalware channel types (email, live chat, SMS, WhatsApp, social media) are stored as a property on message events and on tickets. Since Zendesk does not natively support multi-channel mixed threads, we preserve the channel type on each comment via a custom text field lwr_channel__c. The primary channel on the ticket is stored in lwr_primary_channel__c. This allows agents to filter by channel in Zendesk Views if needed.
Logicalware
Attachment
Zendesk
Ticket Attachment
1:1File attachments on tickets migrate where export artifacts include intact file references or binary data. We flag any attachment URL that points to a Logicalware domain no longer active post-2023 dissolution as inaccessible and note the original filename and URL in a custom field lwr_attachment_url__c. Zendesk attachment upload uses the Zendesk API with a 20 MB per-file limit. Files exceeding this limit are flagged for manual handling.
Logicalware
Tag
Zendesk
Tag
1:1Tags applied to Logicalware tickets migrate as Zendesk Tags. Tag vocabulary is mapped directly without consolidation unless the customer explicitly requests synonym merging during scoping. Tags are applied at the ticket level only; Zendesk does not support tag inheritance from parent records.
Logicalware
Custom Field
Zendesk
Custom Field
1:1Custom fields present in the Logicalware export file are mapped to Zendesk custom fields of the matching type (text, integer, checkbox, dropdown). We pre-create the Zendesk custom fields in Admin Center before migration begins. Custom fields present in the export but not structurally intact (malformed values, encoding errors) are flagged and populated with a lwr_import_error__c note rather than a null value. Any Zendesk custom fields with no corresponding Logicalware source are left empty and documented.
Logicalware
Thread Metadata
Zendesk
Custom Field (lwr_thread_context__c)
lossyLogicalware threaded conversations carry metadata including reply-to chain references and internal notes. We flatten this into standard Zendesk ticket comments (public) and internal notes (private). The thread context (which messages were in the same Logicalware thread) is preserved in a custom text field lwr_thread_context__c containing the original Logicalware thread ID for audit purposes.
| Logicalware | Zendesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Customer | End User1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Conversation | Ticket Comment1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Channel | Custom Field (lwr_channel__c)lossy | Fully supported | |
| Attachment | Ticket Attachment1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Thread Metadata | Custom Field (lwr_thread_context__c)lossy | 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.
Logicalware gotchas
Company dissolution voids all SLA commitments
No public API or export endpoints documented
Agent email addresses may become stale post-dissolution
Multi-channel thread flattening may alter conversation context
Custom ticket fields export inconsistently
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
Export artifact collection and integrity validation
We work with the customer to locate and collect all available Logicalware export artifacts: CSV dumps, XML backups, or any CRM linkage exports from the period when Logicalware was still connected to Salesforce or Microsoft Dynamics. We validate file structure, count rows, identify encoding issues, and flag any corruption. If the customer has no export, we discuss the reconstruction options (CRM linkage records, email server logs) and document what data is recoverable versus permanently inaccessible. This step determines whether a standard migration or a reconstruction-migration scope applies.
Scoping and field mapping
We map every Logicalware field in the export to a corresponding Zendesk field, using the object mapping above as the baseline. Custom fields are documented individually with their type, sample values, and any data quality issues. We define the agent remapping for @logicalware.com addresses, confirm the customer's designated Zendesk owner for each Logicalware agent, and agree on the channel preservation strategy (lwr_channel__c custom field). The scoping output is a written Migration Specification that both parties sign off on before production migration begins.
Zendesk environment preparation
We create all required Zendesk custom fields (lwr_original_id__c, lwr_channel__c, lwr_primary_channel__c, lwr_thread_context__c, lwr_attachment_url__c, lwr_import_error__c) in Admin Center before any data import. We configure agent roles and groups to match the Logicalware team structure provided during scoping. If the customer intends to migrate a Knowledge Base, we activate Zendesk Guide and configure the help center structure (Collections, Sections, Articles) before article import. We temporarily disable Zendesk triggers and automations that could fire on imported tickets and cause unintended status changes or email notifications.
Demo migration and reconciliation
We run a sample migration of 50-100 records (tickets, contacts, organizations, and comments) into a staging Zendesk account. The customer reconciles the migrated records against the Logicalware export, checking field values, comment ordering, attachment presence, and agent assignment. We correct any mapping errors identified during this phase before running the full production migration. The demo migration is included in the standard scope and can be run multiple times if needed.
Production migration
We run the full migration in record dependency order: Organizations first (from Logicalware Companies), then End Users (from Logicalware Customers), then Tickets with comments and channel metadata resolved, then attachments and tags. Each phase emits a row-count reconciliation report. Stale @logicalware.com agent references are resolved against the remapping table provided during scoping. Attachments pointing to inaccessible URLs are flagged individually with the original filename and URL preserved for manual retrieval if the customer has the files archived elsewhere.
Cutover, validation, and deliverables handoff
After the final delta migration of any records modified during the cutover window, we validate the total record count in Zendesk against the Logicalware export totals. The customer performs a final spot-check on 25-50 tickets chosen at random. We deliver a written Migration Inventory listing every migrated object, unmapped field, inaccessible attachment, and any data that could not be recovered. This inventory is the reference document for the customer's admin team to use when rebuilding automations, macros, and views in Zendesk. We do not rebuild automations, macros, or views as part of the standard migration scope.
Platform deep dives
Logicalware
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 Logicalware 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
Logicalware: Not publicly documented.
Data volume sensitivity
Logicalware 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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