Helpdesk migration
Field-level mapping, validation, and rollback between Issuetrak and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Issuetrak
Source
Freshdesk
Destination
Compatibility
6 of 9
objects map 1:1 between Issuetrak and Freshdesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Issuetrak to Freshdesk is a cloud-first migration for teams that have outgrown Issuetrak's ITIL limitations or want a platform with a broader marketplace ecosystem. Issuetrak stores every ticket as an Issue with a two-level Status and Substatus hierarchy and extensible User Defined Fields of seven different types. Freshdesk uses a single-level Ticket Status with a separate Type field and custom fields that support list, number, text, and date types. We resolve the Status-Substatus split into Freshdesk's Status field, preserve Substatus as a custom field for reporting continuity, and normalize multi-list UDF values from comma-delimited strings into Freshdesk's array-compatible custom fields. On-premises Issuetrak deployments require direct database extraction or a dedicated DBA export; cloud deployments use the Issuetrak REST API. We scope the extraction path during onboarding and do not assume API-only access. Scheduled Issues, Auto-Assignment Rules, and Task-Associated UDF triggers do not migrate as automation; we document each pattern and deliver a written rebuild guide for the customer's admin.
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 Issuetrak 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.
Issuetrak
Issue
Freshdesk
Ticket
1:1Issuetrak Issues map to Freshdesk Tickets with Subject, Description, Priority, and timestamps preserved. The Issuetrak Assigned_To field resolves by email match to a Freshdesk Agent record. On-premises Issuetrak instances export Issues via direct SQL query or a DBA-provided CSV; cloud instances use the REST API. Freshdesk requires agents to exist before ticket assignment, so we reconcile Owner records before any ticket insert.
Issuetrak
Issue Class
Freshdesk
Tags or Ticket Type
lossyIssuetrak Issue Classes provide categorical structure (e.g., IT, Facilities, Customer Support) that drives dashboard filtering. We map Class to Freshdesk Ticket Type as the primary classification, and optionally to Tags for secondary categorization. The customer chooses the strategy during scoping based on how many active Classes exist and how they map to Freshdesk's Type field.
Issuetrak
Issue Status and Substatus
Freshdesk
Ticket Status
1:manyIssuetrak's two-level Status-Substatus hierarchy (e.g., Status=Open, Substatus=Pending Customer) maps to Freshdesk's single Ticket Status field with Substatus preserved in a custom text field substatus__c for reporting continuity. We combine the two values during transform into a single string formatted as Status-Substatus in the destination Ticket Status dropdown, and write the Substatus alone to the custom field. The Freshdesk admin adds the combined values to the Ticket Status picklist before migration.
Issuetrak
User Defined Fields (UDFs)
Freshdesk
Custom Ticket Fields
1:1Issuetrak UDFs of text, large text, number, date, and single-select list types map directly to Freshdesk Custom Ticket Fields of corresponding type. Multi-list UDFs store values as comma-delimited strings in Issuetrak; we parse and normalize them into Freshdesk multi-select picklist custom fields, splitting the delimited string into individual selections. Task-Associated UDF triggers are not exposed via API, so we export the Task Group contents as standalone tasks attached to each affected ticket but do not migrate the trigger automation.
Issuetrak
Task Group
Freshdesk
Tasks
1:manyIssuetrak Task Groups are collections of predefined tasks triggered by UDF list selections. We export each Task Group as a set of individual Freshdesk Tasks linked to the parent Ticket via the ticket_id lookup. The task name, description, assignee, and due date are preserved. The trigger automation that auto-appends a Task Group when a UDF list item is selected must be rebuilt in Freshdesk as a ticket field update rule or workflow rule post-migration.
Issuetrak
Solutions
Freshdesk
Knowledge Base (Solutions)
1:1Issuetrak Solutions are canned response templates attached to Issue closure or used by agents for consistent replies. We export Solutions as Freshdesk Knowledge Base articles in a designated Solutions category, preserving category assignments, rich text content, and embedded images. The agent-facing nature of Issuetrak Solutions maps to Freshdesk's internal-facing Knowledge Base articles that agents can reference during ticket resolution.
Issuetrak
Knowledge Base Articles
Freshdesk
Freshdesk Knowledge Base
1:1Issuetrak KB articles with embedded images and rich text export with full HTML content, category assignments, and file attachments. We import articles into Freshdesk's Knowledge Base with the same folder and category structure. Inline images stored as Base64 in Issuetrak migrate as file attachments in Freshdesk. Any broken image links resulting from URL structure differences are flagged in the QA report for the customer's admin to re-upload manually.
Issuetrak
Global Issues
Freshdesk
Ticket Tags or Grouped Tickets
1:1Issuetrak Global Issues link multiple related Issues together for collective management. We export the linkage table and parent-child relationships as Freshdesk Tags with a naming convention (global_link:parent_issue_id) applied to all grouped tickets, making the grouping visible within Freshdesk's tag interface. The customer chooses this approach during scoping; a custom object for Global Issue grouping is available on Freshdesk Garden and above as an alternative.
Issuetrak
User (Agent and Submitter)
Freshdesk
Freshdesk Agent
1:1Issuetrak Agents (paid licensees) map to Freshdesk Agents. Submitters (unlimited free users who can create and update Issues) map to Freshdesk Contacts as the requester on each Ticket. We resolve users by email match. Any Issuetrak Agent without a matching Freshdesk Agent is held in a reconciliation queue until the customer's admin provisions the account, because Freshdesk requires an Agent to exist before ticket assignment.
| Issuetrak | Freshdesk | Compatibility | |
|---|---|---|---|
| Issue | Ticket1:1 | Fully supported | |
| Issue Class | Tags or Ticket Typelossy | Fully supported | |
| Issue Status and Substatus | Ticket Status1:many | Fully supported | |
| User Defined Fields (UDFs) | Custom Ticket Fields1:1 | Mapping required | |
| Task Group | Tasks1:many | Fully supported | |
| Solutions | Knowledge Base (Solutions)1:1 | Mapping required | |
| Knowledge Base Articles | Freshdesk Knowledge Base1:1 | Fully supported | |
| Global Issues | Ticket Tags or Grouped Tickets1:1 | Mapping required | |
| User (Agent and Submitter) | Freshdesk Agent1:1 | 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.
Issuetrak gotchas
On-premises vs cloud extraction requires different methods
User Defined Field types require schema discovery before mapping
Survey export applies active filters by default
Task-Associated UDF triggers do not transfer
API authorization tied to Agent account permissions
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
Deployment and scoping discovery
We confirm whether the source Issuetrak account is a managed cloud instance or an on-premises SQL Server deployment. Cloud instances use the Issuetrak REST API with an administrator-scoped token; on-premises instances require direct database access or a dedicated CSV export from the customer's DBA. We audit UDF definitions (type, required flag, list values), Issue Class count, Task Group count, active Global Issue linkages, and Solutions volume. We confirm the destination Freshdesk plan tier (Sprout through Forest) to verify custom field type availability and API access.
Destination schema configuration
We configure the Freshdesk destination before any data moves. This includes adding all combined Status-Substatus values to the Ticket Status picklist, provisioning custom fields matching Issuetrak UDF types (with multi-select picklists pre-populated with list values from Issuetrak), creating a Solutions category in the Freshdesk Knowledge Base, and setting up Freshdesk Agents for each Issuetrak Agent record. We disable automations, triggers, and SLA policies in Freshdesk to prevent them from firing on historical ticket imports.
Data extraction from Issuetrak
For cloud Issuetrak, we query the Issues, Users, Classes, Task Groups, Solutions, and Knowledge Base endpoints using an administrator-scoped API token. For on-premises Issuetrak, we either connect to the SQL Server database directly (read-only access with customer-provided credentials) or process a DBA-provided CSV export. UDF metadata and UDF values are queried from separate endpoints and joined in the migration workspace. Multi-list UDF values are parsed from comma-delimited strings during this phase. Global Issue linkage tables are extracted separately for tag-based reconstruction in Freshdesk.
Transformation and field mapping
We transform the extracted data against the mapping matrix. Issues become Tickets with Status values combined from Issuetrak's Status and Substatus fields. Multi-list UDF values are split into array-formatted custom field values. Task Groups are disaggregated into individual Tasks linked to parent tickets. Solutions are transformed into Knowledge Base article format with HTML content preserved. Global Issue linkage IDs become Freshdesk tags with a consistent prefix. Submitters map to Freshdesk Contacts; Agents map to Freshdesk Agents. Inline Base64 images in Knowledge Base content are extracted and flagged for re-upload.
Import and reconciliation
We import records into Freshdesk in dependency order: Agents first (required for ticket assignment), then Contacts, then Tickets with resolved agent assignments, then Tasks, then Knowledge Base articles. Each phase emits a row-count reconciliation report comparing the count of records inserted against the count exported from Issuetrak. Failed records are written to an error log with the specific API error or validation message. We re-attempt records with correctable errors (e.g., missing required fields, invalid picklist values) after the customer resolves the underlying issue.
Cutover, validation, and rebuild handoff
We freeze writes to Issuetrak during the final cutover window, run a delta pass to capture any records modified after the initial extraction, then mark Freshdesk as the system of record. We deliver a written rebuild guide covering the Task-Associated UDF triggers, Auto-Assignment Rules, and any Scheduled Issue patterns that require manual recreation in Freshdesk's automation engine. We provide a post-migration QA checklist for the customer's team to spot-check 20-30 random tickets for data integrity. Automations, SLA policies, and Freshdesk Helpdesk bots are re-enabled after the customer signs off on the migration sample.
Platform deep dives
Issuetrak
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. All 7 core objects map 1:1 between Issuetrak and Freshdesk.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Issuetrak and Freshdesk.
Object compatibility
All 7 core objects map 1:1 between Issuetrak and Freshdesk.
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
Issuetrak: Not publicly documented in the v2 documentation.
Data volume sensitivity
Issuetrak 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
Pick a category, then your source and destination platforms.
Category
FAQ
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