Helpdesk migration
Field-level mapping, validation, and rollback between Startly and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Startly
Source
Freshdesk
Destination
Compatibility
7 of 9
objects map 1:1 between Startly and Freshdesk.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Startly to Freshdesk is a migration from an internal IT service management platform to an external customer helpdesk. Startly bundles ticketing with asset management, CMDB, change requests, and project billing under a single flat-priced plan; Freshdesk focuses on customer support across multiple communication channels with a tiered pricing model. Startly does not publish a self-service bulk export endpoint, so the migration begins with a guided data extraction plan coordinated through Startly's implementation team or a structured manual CSV pull from grid views. We migrate Tickets, Users/Agents, and Knowledge Base articles fully; Assets map as reference records but lose their CMDB linkage in Freshdesk; Projects and Change Requests require manual rebuild or supplemental CSV because Freshdesk's object model does not include those modules. SLA policies are platform-specific and must be re-entered in Freshdesk from an exported configuration reference. We do not migrate Workflows, Service Catalog items, or Approval Chains as code; we deliver a written inventory for the customer's admin to rebuild in Freshdesk.
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 Startly 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.
Startly
Ticket
Freshdesk
Ticket
1:1Startly Tickets map directly to Freshdesk Tickets. We map Ticket subject to Freshdesk subject, description to description (with conversation thread preserved), priority to priority, status to status, assignee to agent via email lookup, and requester to requester Contact. Custom fields migrate to Freshdesk custom ticket fields. SLA configurations are preserved as a reference document; Freshdesk SLA policies must be recreated from the exported values because SLA rules are destination-platform-native.
Startly
Users / Team Members
Freshdesk
Agent
1:1Startly User records (name, email, role, department, team) map to Freshdesk Agent records. We resolve agents by email address match. Inactive or disabled Startly accounts are flagged for exclusion to avoid inflating Freshdesk agent seat counts. Freshdesk requires at minimum one active agent to receive ticket assignments.
Startly
Ticket Requester
Freshdesk
Contact
1:1Startly ticket requesters (external users who submit tickets) map to Freshdesk Contact records. We map name, email, phone, and any custom requester properties to Freshdesk Contact fields. Multiple tickets from the same requester deduplicate to a single Contact using email as the unique key.
Startly
Knowledge Base Articles
Freshdesk
Solution Articles
1:1Startly KB articles migrate to Freshdesk Solutions. Article content, title, and status transfer; category associations require re-establishment in Freshdesk because the internal category-to-article linkage is not exported as a portable foreign key. We extract each article independently and deliver a mapping table showing original category placement for manual re-association in Freshdesk Admin.
Startly
Asset
Freshdesk
Custom Object or Ticket Field
1:1Startly Assets (IT inventory items with name, type, status, location, assigned user) have no native equivalent in Freshdesk. We migrate asset metadata to a Freshdesk Custom Object named Assets with fields mirroring the source schema, or we store asset references as a structured supplemental CSV if the destination Freshdesk plan does not include Custom Objects. Asset-to-CMDB relationships cannot be preserved in Freshdesk because Freshdesk lacks a CI linkage model.
Startly
CMDB Entries
Freshdesk
None
1:1Startly CMDB configuration items (servers, network devices, software CIs with relationships to each other and to Assets) have no equivalent object in Freshdesk. We do not migrate CMDB entries to Freshdesk. We extract the CMDB data as a structured CSV reference document and advise the customer to adopt a dedicated CMDB tool or to document CI linkage manually post-migration if CI tracking remains a requirement.
Startly
Projects
Freshdesk
Tickets or Custom Object
lossyStartly Projects bundle tasks, budgets, and time entries under a project record. Freshdesk has no project module. We migrate project metadata (name, description, status, dates) to a Freshdesk Custom Object named Projects with task descriptions stored as a linked supplemental CSV. Budget and profitability data requires an explicit mapping decision during scoping because Freshdesk has no cost-tracking model; we preserve it in a supplemental CSV rather than creating orphan fields.
Startly
Change Requests
Freshdesk
Tickets
1:1Startly Change Requests (with risk assessment, approval fields, and linked CIs) have no native Freshdesk equivalent. We migrate Change Request records as Freshdesk Tickets with a custom field change_request_type__c carrying the original risk level and status, and link the original CMDB CI reference if a Custom Object Assets schema is in place. Approval workflows and risk matrices cannot be migrated and must be rebuilt as Freshdesk automations post-migration.
Startly
SLA Policies
Freshdesk
SLA Policies
lossyStartly SLA configurations (response time, resolution time, business hours tied to priority tiers) are platform-specific and do not export as portable objects. We extract the SLA configuration values (thresholds in hours, priority-to-SLA mappings, business hours schedule) as a structured reference document. The customer's Freshdesk admin recreates SLA policies in Freshdesk Admin from this reference. SLA recreation is not included in the migration execution scope.
| Startly | Freshdesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Users / Team Members | Agent1:1 | Fully supported | |
| Ticket Requester | Contact1:1 | Fully supported | |
| Knowledge Base Articles | Solution Articles1:1 | Mapping required | |
| Asset | Custom Object or Ticket Field1:1 | Fully supported | |
| CMDB Entries | None1:1 | Fully supported | |
| Projects | Tickets or Custom Objectlossy | Mapping required | |
| Change Requests | Tickets1:1 | Mapping required | |
| SLA Policies | SLA Policieslossy | Mapping required |
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.
Startly gotchas
No public self-service export API for bulk data extraction
SLA policies do not export as portable configuration objects
Project budget and profitability fields require custom field mapping
Knowledge base and service catalog relationships do not survive field-level migration
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
Extraction planning and data audit
We begin with a structured data audit of the Startly portal, cataloging Ticket volumes by status and priority, User and Agent counts, Knowledge Base article counts, and any Asset, Project, or Change Request records that the customer wants to migrate. Because Startly has no self-service export API, we produce a written extraction guide specifying the exact grid views to export, the column sets to include, and the file delivery method to Startly's implementation team or the customer's admin. We also collect Freshdesk API credentials (available from Blossom tier and above via Admin > Profile Settings > API key) and confirm the destination Freshdesk plan tier to validate which objects and features are available.
Schema pre-creation in Freshdesk
Before any record import, we pre-create the destination schema in Freshdesk. This includes creating any required Custom Objects (Assets, Projects) with their field definitions matching the Startly source schema, adding custom ticket fields for Change Request type and other ITSM-specific metadata that does not map to a standard Freshdesk field, and configuring SLA policies from the reference document extracted from Startly. Freshdesk automations are documented but disabled at this stage to prevent import-time firing. We use Freshdesk's Admin API endpoints to create objects and fields programmatically where the plan supports it.
Data extraction and transformation
We receive Startly export files (CSV from grid exports or from Startly's implementation team) and run them through a structured transformer. The transformer handles column renaming, date format normalization, status and priority value mapping to Freshdesk enumerated values, and dedupe logic on Contact records using email as the unique key. Ticket conversation threads (internal notes and public replies) are parsed from exported ticket detail files and flattened into Freshdesk's conversation model. Any records missing required fields (no email on Contact, no subject on Ticket) are flagged in a pre-import reconciliation report for the customer to resolve before migration begins.
Sandbox migration and reconciliation
We run a full migration into a Freshdesk sandbox or trial account using production-equivalent data volume. The customer reconciles record counts (Tickets in, Contacts in, Agents in, Solution articles in), spot-checks 20-30 random ticket records against the Startly source for accuracy of conversation thread preservation, custom field values, and assignee mapping, and reviews any KB article re-association work. Schema corrections, custom field additions, and SLA policy recreations happen in the sandbox before production migration begins. We do not proceed to production until the customer signs off on the sandbox reconciliation.
Production migration in dependency order
We run production migration in record-dependency order: Agents first (so Owner resolution works for tickets), Contacts next (so requester lookups are satisfied), Tickets last with conversation threads attached. Knowledge Base articles migrate after tickets to allow any article-to-ticket linkage references to be documented in the handoff. Custom Objects (Assets, Projects) migrate after the core objects. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshdesk's REST API with rate-limit handling and exponential backoff for all imports.
Cutover, validation, and handoff
We freeze Startly writes during a cutover window (typically a weekend or low-volume period), run a final delta migration of any records modified during the migration window, then enable Freshdesk as the system of record. We re-enable Freshdesk automations from the disable-and-reenable checklist. We deliver a written migration report (record counts by object, skipped records with reasons, mapping decisions made during scoping) and a separate Automation Rebuild Inventory listing any Startly Workflows, Service Catalog items, or SLA rules requiring manual recreation in Freshdesk. We provide a one-week hypercare window for reconciliation issues raised by the support team.
Platform deep dives
Startly
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. All 7 core objects map 1:1 between Startly and Freshdesk.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Startly and Freshdesk.
Object compatibility
All 7 core objects map 1:1 between Startly 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
Startly: Not publicly documented.
Data volume sensitivity
Startly 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
Answers to the questions buyers ask most during Startly to Freshdesk migration scoping. Not seeing yours? Book a call.
Walk through your Startly to Freshdesk migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Startly
Other ways to arrive at Freshdesk
Same-Helpdesk migrations
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.