Helpdesk migration

Migrate from House-on-the-Hill Service Desk to Zendesk

Field-level mapping, validation, and rollback between House-on-the-Hill Service Desk and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.

House-on-the-Hill Service Desk logo

House-on-the-Hill Service Desk

Source

Zendesk

Destination

Zendesk logo

Compatibility

70%

7 of 10

objects map 1:1 between House-on-the-Hill Service Desk and Zendesk.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

House-on-the-Hill Service Desk stores its data in separate database tables and exports them as flat CSV files with no public REST API for automated extraction. Zendesk expects data through a RESTful API that requires well-structured JSON payloads with relational lookups resolved at insert time. That gap defines the migration: we extract each House-on-the-Hill table independently, denormalize multi-table relationships into flat files, then re-assemble them as Zendesk API calls with parent-record IDs resolved before each batch. Contacts and Companies load first, Agents map to Zendesk Users, Tickets load with requester and assignee lookups resolved, Conversations become Comments, and Attachments are re-linked using the migrated document ID map. SLA associations captured from the ticket export are documented for manual recreation in Zendesk SLA Centre. We do not migrate Automations, Triggers, Macros, or Views as code; these are documented for the customer's admin to rebuild.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

House-on-the-Hill Service Desk logo

House-on-the-Hill Service Desk

What's pushing teams away

  • The platform lacks a documented public REST API for automated CRUD operations; migration relies on CSV flat-file exports from the UI, which limits automation scope and makes large-volume migrations time-consuming to repeat.
  • Customer reviews are scarce with limited third-party presence, making independent evaluation of feature parity against newer platforms such as Freshservice or Jira Service Management difficult for teams in competitive selection processes.
  • The HTTPS Report API only exposes pre-configured report output as JSON; it does not provide a general-purpose data access layer, so real-time integration with downstream BI tools or CRM systems requires custom middleware development.

Choosing

Zendesk logo

Zendesk

What's pulling them in

  • Mature omnichannel routing across email, chat, phone, messaging, and social — one unified inbox for support teams regardless of size or complexity.
  • Deep automation with Triggers, Automations, and SLA Policies lets high-volume teams enforce consistent workflows without manual ticket handling.
  • Large ecosystem of third-party integrations and a public app marketplace reduce friction for teams already using Salesforce, Jira, or Slack.
  • Industry-leading brand recognition and trust signal — many enterprise buyers default to Zendesk as a known quantity in vendor procurement cycles.
  • Generous documentation library and community mean onboarding teams can self-configure without needing a services engagement to get started.

Object mapping

How House-on-the-Hill Service Desk objects map to Zendesk

Each row shows how a House-on-the-Hill Service Desk 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.

House-on-the-Hill Service Desk

Contact

maps to

Zendesk

End User

1:1
Fully supported

House-on-the-Hill Contact records map to Zendesk end-user User records. The email address becomes the primary identifier and dedupe key. We use the Users API POST /users endpoint. If the source uses a flat contact model without a separate organization reference, we create the User and optionally attach it to a migrated Organization record via the organization_id field. External IDs from House-on-the-Hill are preserved in the user_id field on the Zendesk User for cross-reference.

House-on-the-Hill Service Desk

Company

maps to

Zendesk

Organization

1:1
Fully supported

House-on-the-Hill Company records map to Zendesk Organization. The company domain and name map to domain and name fields. Organization records must be created before Users that reference them via organization_id, so this is the second table in the dependency sequence after Contacts. We extract organization_id from the House-on-the-Hill contact export where a contact-to-company relationship is present and resolve it to the migrated Zendesk Organization ID.

House-on-the-Hill Service Desk

Agent

maps to

Zendesk

Agent (User with role)

1:1
Fully supported

House-on-the-Hill Agent records map to Zendesk User accounts with the agent role. The HTTPS Report API does not expose agent records for automated export; we extract agent data from the UI CSV export where available and use the Users API to provision them in Zendesk with verified: false until the agent confirms their account. Agents without an email in the source export are flagged for manual provisioning by the customer's admin.

House-on-the-Hill Service Desk

Ticket

maps to

Zendesk

Ticket

1:1
Fully supported

House-on-the-Hill Ticket records map directly to Zendesk Ticket. We map status (Open, Closed, Pending) to Zendesk ticket_status values, priority to priority, and subject to subject. The requester_id and assignee_id are resolved by matching the House-on-the-Hill contact and agent IDs against the migrated User records before each ticket batch is submitted. Ticket reference numbers from the source are preserved in the Zendesk ticket's tags or a custom field for audit. If the source stores requester email directly on the ticket rather than a contact ID, we create the User inline during ticket import.

House-on-the-Hill Service Desk

Conversation

maps to

Zendesk

Comment

1:1
Fully supported

Ticket conversation threads from House-on-the-Hill's related table map to Zendesk Comment records on the parent Ticket. We identify public replies versus internal notes from a type flag in the conversation export and set the public field accordingly. Comments are imported after the parent Ticket has been confirmed with a Zendesk ID, using the Ticket Comments API with the parent ticket ID resolved from the House-on-the-Hill ticket reference map. The conversation timestamp maps to Zendesk Comment created_at.

House-on-the-Hill Service Desk

Knowledge Base Article

maps to

Zendesk

Article

1:1
Fully supported

House-on-the-Hill KB articles map to Zendesk Guide Articles. We export article title, body, author, category assignment, and any custom article fields, then create the target Section and Category hierarchy in Zendesk Guide before article import. Articles are created via the Help Center API POST /help_center/categories/{category_id}/sections/{section_id}/articles. If the source author is an agent, we map the author to a Zendesk User; if anonymous, the article is created without an author association.

House-on-the-Hill Service Desk

Attachment

maps to

Zendesk

Attachment

1:1
Fully supported

House-on-the-Hill file attachments are stored in the document management area and linked to tickets by an internal document ID. The ticket CSV does not embed attachment binary data. We export the attachment records as a separate pass, download the file binaries, and upload them to Zendesk via the Attachments API using multipart form encoding. We re-link each attachment to the migrated Zendesk ticket using the ticket ID map created during the ticket import phase. Attachments exceeding the Zendesk API size limit are flagged for manual re-upload by the customer's admin.

House-on-the-Hill Service Desk

Custom Field

maps to

Zendesk

Ticket Field or User Field

lossy
Fully supported

House-on-the-Hill custom ticket and contact fields defined in the form designer require pre-creation in Zendesk before data import. We inspect the field schema via the CSV export template, map each custom field name to a Zendesk field of equivalent type (text, dropdown, checkbox, integer, date), and create the Zendesk custom field via the Ticket Fields API before any ticket data is loaded. Dropdown options are migrated as a comma-separated string split into Zendesk tag values or as a custom ticket field with the option list created in Zendesk first.

House-on-the-Hill Service Desk

SLA Record

maps to

Zendesk

SLA Policy (documented for manual recreation)

lossy
Fully supported

House-on-the-Hill SLA policies and their ticket associations are not independently exportable. We extract SLA name, breach time, and any SLA assignment from the ticket export where present, and document the full SLA definition for recreation in Zendesk SLA Centre. SLA metric (first response, next response, resolution time) and target values map to Zendesk SLA Policy conditions and targets. Ticket-level SLA assignment at import time is preserved as a custom field or documented in the handoff notes if the customer's Zendesk tier supports SLA Centre.

House-on-the-Hill Service Desk

Tag

maps to

Zendesk

Tag

lossy
Fully supported

House-on-the-Hill tags are a flat label system stored as a comma-separated string per ticket. We split them into individual tag values at migration time and apply them to the Zendesk Ticket via the Tags API or as a tag array in the ticket payload. Tags used for categorization in House-on-the-Hill that do not map cleanly to Zendesk's tag model are documented in the handoff notes with a recommendation to use Zendesk Views or SLAs for equivalent filtering.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

House-on-the-Hill Service Desk logo

House-on-the-Hill Service Desk gotchas

Medium

CSV import requires flat file format with no nested structures

Medium

Import error log is written to _suppdesk.err_ with no UI summary

Medium

Attachments must be exported and re-linked separately from tickets

Zendesk logo

Zendesk gotchas

High

Data export requires API scripting on non-Enterprise plans

Medium

Automations cap at 500 active rules and 1,000 tickets per hour

Medium

Help Center has no native export feature

High

Custom Objects and full data export are Enterprise-only

Pair-specific challenges

  • House-on-the-Hill stores ticket history across separate flat-file exports

    Tickets, conversations, and attachments in House-on-the-Hill are stored as distinct database tables that export as separate CSV files. Ticket relationships to requesters, assignees, and organizations are held by ID reference, not by embedded name. We must denormalise each export into a flat format where every ticket row contains the denormalised requester and assignee names or emails, then resolve these to Zendesk User IDs at import time using a lookup table built from the migrated Users. This two-phase flatten-and-resolve step adds a data preparation stage that does not apply to platforms with a relational API export.

  • Import errors surface only in _suppdesk.err_ with no UI summary

    When a CSV import pass encounters malformed rows, House-on-the-Hill writes errors to a local _suppdesk.err_ file rather than surfacing them in the web interface. Data type mismatches, missing required fields, and encoding errors in this log must be corrected in the source CSV before the record can be re-imported. We download and parse this file after each import pass as part of our validation cycle. If the source data has systematic encoding issues (non-UTF-8 characters, unescaped commas in text fields), the entire affected export must be corrected and re-run as a delta pass.

  • Attachments require a two-phase export and re-linkage

    House-on-the-Hill file attachments are stored in its document management area and linked to tickets by an internal document ID rather than embedded in the ticket record. The ticket CSV does not carry the attachment binary data. We export all attachment records as a separate pass, download the file binaries from the document management area, upload them to Zendesk via the Attachments API, and use the migrated ticket ID map to re-establish the ticket-to-document linkage. This two-phase approach is required to avoid broken attachment references and must be sequenced after the ticket import confirms the Zendesk ticket IDs.

  • Zendesk Help Center structure must exist before knowledge base import

    Zendesk Guide requires the Category and Section hierarchy to exist before Articles can be created and assigned to them. House-on-the-Hill's knowledge base may use a flatter article-categorisation model. We must create the Zendesk Guide Category and Section records first via the Help Center API, capture the new section IDs, and then map House-on-the-Hill article category assignments to the Zendesk section hierarchy. If the source KB uses a tagging-based categorisation rather than a hierarchical folder model, we flatten it into a two-level Zendesk Guide structure (Category as broad topic, Section as sub-topic) and document the mapping for the customer's admin to refine.

  • SLA policies and breach times require manual recreation in Zendesk

    House-on-the-Hill SLA policies are stored in the Service Level Management module and are not independently accessible via API or export. SLA name and breach time values may be present in the ticket export as fields, but the policy definition itself is not. We document every distinct SLA policy found in the ticket records with its associated targets and conditions, and the customer's admin recreates these in Zendesk SLA Centre after migration. Imported tickets carry the source SLA name in a custom field so that the admin can assign matching Zendesk SLA policies post-recreation.

Migration approach

Six steps for a successful House-on-the-Hill Service Desk to Zendesk data migration

  1. Data audit and House-on-the-Hill export

    We extract all record types from House-on-the-Hill via the Settings Cog CSV export: Contacts, Companies, Agents, Tickets, Conversations, Attachments, KB Articles, and custom field exports. We inspect the flat-file schema for each table, note the ID reference fields used to link records across tables, and identify any denormalisation required. We also document the knowledge base category hierarchy and any SLA assignments embedded in the ticket export. This phase produces a source schema map and an export checklist confirming all tables have been successfully downloaded before transformation begins.

  2. Zendesk destination schema preparation

    We create the Zendesk destination schema before any data is loaded. This includes provisioning custom ticket fields and custom user fields via the Ticket Fields and User Fields APIs to receive House-on-the-Hill custom field data. We create the Zendesk Help Center Category and Section hierarchy for knowledge base migration. We configure agent role assignments and group structure. Any Zendesk plan limitations on custom fields, SLA Centre access, or Help Center availability are flagged against the destination plan tier before this step completes.

  3. Data transformation and denormalisation

    We denormalise the House-on-the-Hill flat-file exports into Zendesk-ready payloads. Ticket rows are enriched with denormalised requester email and assignee email from the related Contact and Agent tables. Tags are split from comma-separated strings into Zendesk tag arrays. Custom field values are mapped to Zendesk custom field IDs by name. Date formats are normalised to ISO 8601. We run a dry-run reconciliation comparing the row count of each transformed file against the source export to catch omissions before API submission. We also parse the _suppdesk.err_ log if any prior import attempts exist to catch systemic encoding or data-quality issues.

  4. Parent-record migration and lookup resolution

    We run the load in strict dependency order: Organizations first (from Companies), then Users (from Contacts and Agents), then Tickets (with requester_id and assignee_id resolved to the migrated User IDs), then Comments (with parent ticket ID resolved from the ticket map), then Attachments (with parent ticket ID resolved from the ticket map and the attachment binary uploaded separately). The Zendesk Tickets API receives ticket payloads with the pre-resolved User IDs inline. For large volumes exceeding 1,000 records per object, we use the Bulk API 2.0 with chunking and exponential backoff on rate-limit responses. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Knowledge base and SLA documentation

    We create Zendesk Guide Articles from the House-on-the-Hill KB export, assigning each article to the pre-created Section. We capture the House-on-the-Hill article category and section names and document the mapping to the Zendesk section hierarchy. For SLA policies, we compile a written SLA inventory from the ticket export, listing each distinct SLA name, associated breach times, and the count of tickets assigned to each SLA. This document is delivered to the customer's admin to recreate in Zendesk SLA Centre. We also deliver a full field-mapping spreadsheet and a record-count reconciliation report across all object types.

  6. Cutover, validation, and handoff

    We freeze House-on-the-Hill write access during the final delta pass and run any records modified since the initial export as a last delta load into Zendesk. We perform a spot-check validation on a random sample of 30-50 records per object type, comparing key field values against the source export. We validate that ticket-to-requester, ticket-to-assignee, comment-to-ticket, and attachment-to-ticket relationships are intact. We deliver the SLA inventory, automation rebuild guide (documenting what does not migrate), and the full mapping spreadsheet. We support a one-week post-go-live window for reconciliation issues. We do not rebuild House-on-the-Hill automations or configure Zendesk Triggers and Views; these are documented in the handoff and handled by the customer's admin.

Platform deep dives

Context on both ends of the pair

House-on-the-Hill Service Desk logo

House-on-the-Hill Service Desk

Source

Strengths

  • Dual deployment model supports both cloud-hosted and on-premises installations from a single codebase.
  • AI-supported ticket routing and intelligent chatbot reduce manual triage overhead for front-line agents.
  • Integrated knowledge base with article-categorisation and self-service portal out of the box.
  • SLA management and service-level tracking built into the core ticketing workflow.
  • Mobile-responsive interface for iOS and Android gives agents remote access without a dedicated desktop client.

Weaknesses

  • No publicly documented REST API for automated CRUD operations; data access is limited to CSV export and the HTTPS Report API.
  • Limited third-party review presence and sparse independent benchmarking data make competitive evaluation challenging.
  • CSV-based import requires flat file format; nested or multi-table relationships must be flattened manually before ingestion.
  • The platform's brand presence and community ecosystem are smaller than global competitors, which may affect available partner and integration support.
Zendesk logo

Zendesk

Destination

Strengths

  • Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center.
  • Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution.
  • Multi-brand support enables large organizations to route and isolate support by product line or subsidiary.
  • Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options.
  • Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.

Weaknesses

  • Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited.
  • No native full-KB export — Help Center content requires API scripting to extract.
  • AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows.
  • Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months.
  • Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across House-on-the-Hill Service Desk and Zendesk.

  • Object compatibility

    C

    3 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    House-on-the-Hill Service Desk: Not publicly documented.

  • Data volume sensitivity

    B

    House-on-the-Hill Service Desk doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your House-on-the-Hill Service Desk to Zendesk migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about House-on-the-Hill Service Desk to Zendesk data migrations

Answers to the questions buyers ask most during House-on-the-Hill Service Desk to Zendesk migration scoping. Not seeing yours? Book a call.

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Most tier-2 House-on-the-Hill migrations land between two and four weeks for accounts with fewer than 5,000 tickets and a straightforward field structure. Larger accounts with 10,000-20,000 tickets, a knowledge base with more than 500 articles, and a knowledge base section hierarchy requiring pre-creation in Zendesk Guide move to six to ten weeks. The CSV-only export constraint on House-on-the-Hill means data preparation and denormalisation take longer than a source platform with a relational API would require.

Adjacent paths

Related migrations to explore

Ready when you are

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