Helpdesk migration

Migrate from Request Manager to Zendesk

Field-level mapping, validation, and rollback between Request Manager and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.

Request Manager logo

Request Manager

Source

Zendesk

Destination

Zendesk logo

Compatibility

100%

10 of 10

objects map 1:1 between Request Manager and Zendesk.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Request Manager to Zendesk is a structural upgrade from an internal approval-workflow tool to a general-purpose customer support platform. Request Manager's flat data model (Tickets with Requester, Approver, and Attachment sidecar records) maps directly to Zendesk Tickets with requester Users, assignee Agents, and attachments. The defining constraint of this migration is Request Manager's lack of a documented public API, which means the extraction phase may require vendor coordination or structured data exports before migration tooling can be applied. We extract the full custom field schema at the start of each project, map approval chains to Zendesk's SLA policies and escalation rules, and preserve priority and status values as typed fields. Zendesk's Help Center articles, Macros, Views, Triggers, and Automations do not migrate as configuration code; we deliver a written inventory for the customer's admin to rebuild post-migration.

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

Request Manager logo

Request Manager

What's pushing teams away

  • Poor reporting and analytics capabilities — one verified G2 reviewer explicitly flagged 'Poor Reporting' as a frustration, limiting visibility into request trends and team performance.
  • Limited customization of workflow states and approval chains, making it difficult to model complex organizational structures with multi-step or conditional approvals.
  • User interface and usability issues for non-admin users, with reviewers noting the platform is functional but not intuitive for requesters unfamiliar with the approval process.
  • Absence of native integrations with common enterprise tools like Slack, Microsoft Teams, or project management platforms, requiring workarounds for notification and sync.
  • Lack of a public API documented in available resources, making automated integrations and data exports dependent on vendor-provided tooling.

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 Request Manager objects map to Zendesk

Each row shows how a Request Manager 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.

Request Manager

Ticket

maps to

Zendesk

Ticket

1:1
Fully supported

Request Manager Tickets map directly to Zendesk Tickets. Subject, description, priority, status, created_at, and updated_at migrate 1:1. We set the Zendesk ticket type (question, incident, problem, task) based on a type field added during scoping or default to 'question' for request-style tickets. The Zendesk Ticket ID is generated at insert time.

Request Manager

Requester

maps to

Zendesk

End User (User)

1:1
Fully supported

Requester records (submitting users with name, email, department, and contact details) map to Zendesk End User records. Email address is the dedupe key. We preserve the requester's department as a custom user field or map to an existing Zendesk Organization if departmental grouping is configured. Active status is set based on whether the Requester record was active in the source.

Request Manager

Approver

maps to

Zendesk

Agent + SLA Policy / Escalation Rule

1:1
Fully supported

Request Manager approval chains with step-order, approver reference, approval status, and timestamp do not map to a single Zendesk object. We decompose the chain: the approvers themselves become Zendesk Agents (or Groups) assigned as ticket Assignees or CC'd Agents, and the approval workflow logic is documented as Zendesk SLA Policy conditions and escalation rules to recreate. The approval timestamp chain is preserved in a custom ticket field or in the ticket comment history.

Request Manager

Attachment

maps to

Zendesk

Attachment (on Ticket)

1:1
Fully supported

File attachments on Request Manager tickets are extracted with filename, MIME type, and binary content. We upload to Zendesk via the attachments endpoint and link to the target Ticket by ID. Large file handling follows Zendesk's 50 MB per-file limit; files exceeding this threshold are flagged in the reconciliation report for customer review.

Request Manager

Comment / Internal Note

maps to

Zendesk

Comment

1:1
Fully supported

Ticket comments and internal notes map to Zendesk Comments. The author, timestamp, and body transfer directly. We set the Zendesk public attribute (true for requester-visible comments, false for internal notes) based on the Request Manager visibility flag. Rich text content is preserved as HTML in the comment body.

Request Manager

Priority Level

maps to

Zendesk

Priority

1:1
Fully supported

Request Manager priority values (Low, Medium, High, Critical) map directly to Zendesk Priority values with the same labels. We do not re-normalize priority scales unless explicitly requested. If the source uses a numeric priority score, we map it to a custom ticket field rather than overwriting the standard Priority dropdown.

Request Manager

Status Workflow

maps to

Zendesk

Status

1:1
Fully supported

Request Manager status values (Draft, Submitted, Under Review, Approved, Rejected, Closed) are mapped to Zendesk ticket status values (New, Open, Pending, Hold, Solved, Closed). The mapping is confirmed during scoping because each organization's Request Manager workflow states are custom. We preserve the original Request Manager status in a custom field for audit.

Request Manager

Custom Fields

maps to

Zendesk

Custom Fields

1:1
Mapping required

Organizations frequently add custom fields to Request Manager ticket objects. We extract the full custom field schema during scoping (field name, type, and all active values), then pre-create matching Zendesk custom fields in the target account before migration begins. Dropdowns map to Zendesk dropdowns, checkboxes to booleans, numeric fields to integers, and text fields to text. No two Request Manager deployments have identical custom field sets; every mapping is per-customer.

Request Manager

Department

maps to

Zendesk

Organization

1:1
Fully supported

Department assignments on tickets or requester profiles are mapped to Zendesk Organizations. If the customer uses Zendesk's multiple-brand feature, department assignment may alternatively map to a Brand field on the ticket. The mapping choice is confirmed during scoping based on how Request Manager departments are used in the customer's reporting workflow.

Request Manager

Approval History / Audit Trail

maps to

Zendesk

Ticket Comment (private) + Custom Fields

1:1
Fully supported

Request Manager stores approval history as audit events tied to tickets. We extract each audit event (approver, action, timestamp, comments) and append them as private Zendesk comments on the ticket in chronological order, preserving the full approval audit trail for compliance and reference. This is the closest Zendesk equivalent to the structured audit log that Request Manager provides.

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.

Request Manager logo

Request Manager gotchas

High

No documented public API for automated export

Medium

Reporting limitations obscure historical volume data

Medium

Custom fields vary by organization

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

  • Request Manager has no documented public API

    Research surfaced no publicly documented API endpoint, authentication method, or bulk export endpoint for Request Manager. Extraction depends on vendor coordination or structured data files provided by the vendor. We confirm API availability and export file format during scoping before the migration plan is finalized. If the vendor cannot provide a data export file or API credentials, we discuss screen-scraping alternatives and flag the risk to the customer explicitly.

  • Custom field schema is per-organization with no standard catalog

    Request Manager is configured per organization, meaning custom ticket fields added by an administrator are not consistent across tenants. We extract the full custom field schema at the start of each migration, identify all active custom fields in use, and map each to a typed Zendesk custom field before data transfer begins. No two migrations have identical field mappings. Customers must provide access to their specific Request Manager configuration to complete scoping.

  • Approval chains map to Zendesk SLA policies, not a direct object

    Request Manager approval chains have step-order, conditional branching, and approval-status tracking with no direct Zendesk equivalent object. We decompose approval chains into Zendesk Agents (approvers), ticket Assignee assignments, SLA Policy conditions (for time-based escalation), and escalation rules (for status-based actions). The structured approval audit log migrates as private comments. Customers should expect to rebuild the approval workflow logic in Zendesk Admin after migration using SLA policies and triggers.

  • Closed Zendesk tickets cannot be modified after archiving

    Zendesk does not permit modifications to tickets once they are closed or archived. If any migrated Request Manager tickets with approval history or custom field values are in a closed state, those records will be imported as-is with no post-import updates possible. We flag any closed tickets during reconciliation and recommend that the customer review all approval history on closed tickets before the archive state is set in Zendesk.

Migration approach

Six steps for a successful Request Manager to Zendesk data migration

  1. API availability and export strategy confirmation

    We begin by confirming whether Request Manager exposes any data export capability for the specific customer deployment. We request API credentials if available, or coordinate with the customer to obtain a structured data export from the vendor. If no programmatic access exists, we extract from the vendor-provided file, validate the schema, and confirm field coverage before proceeding to mapping. This step gates the entire migration timeline.

  2. Custom field schema extraction and Zendesk field pre-creation

    We extract the complete custom field schema from Request Manager, including field name, data type, and all active dropdown or multi-select values. We map each custom field to a corresponding Zendesk custom field (dropdown, checkbox, text, numeric, date) and pre-create the fields in the target Zendesk account before any data is written. This step ensures no records are rejected due to missing destination fields.

  3. Approval chain analysis and Zendesk SLA design

    We analyze every active approval workflow in Request Manager to understand step-order, conditional rules, and approver assignments. We design a corresponding Zendesk configuration: SLA policies for time-based escalation targets, escalation rules for status-based actions, and agent Group assignments to replicate the approver routing. The output is a written approval-rebuild plan that the customer's Zendesk admin executes post-migration.

  4. Data extraction and transformation

    We extract Tickets, Requesters, Approvers, Attachments, Comments, Custom Fields, and Status values from the Request Manager export. We apply the field mapping transformation, split the approval chain into comment history and agent assignments, resolve Requester-to-End-User deduplication by email, and compute the Status-to-Zendesk-Status mapping. Attachments are staged in a cloud storage bucket before upload.

  5. Zendesk sandbox migration and reconciliation

    We run a full migration into a Zendesk Sandbox or staging account using production data volume. The customer's support operations lead reconciles record counts, spot-checks 25-50 random tickets against the Request Manager source, and validates that priority, status, custom field values, and approval history are correct. Any mapping corrections are applied before production migration begins.

  6. Production migration and cutover

    We freeze writes to Request Manager during cutover, run a final delta migration of any records modified during the migration window, then enable Zendesk as the system of record. We deliver the SLA Policy and escalation rule rebuild plan, the macro inventory, and the trigger handoff document to the customer's admin team. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Request Manager logo

Request Manager

Source

Strengths

  • Single pane of glass for all internal requests across an organization, replacing fragmented email threads and spreadsheets.
  • Structured approval chains with visibility for managers to monitor request status and intervene when needed.
  • Enterprise-scale capacity demonstrated with verified deployments in organizations of 1000+ employees.
  • Clean request-and-response model that enforces accountability and creates an audit trail for every decision.
  • Low complexity data model that is straightforward to scope and extract for migration.

Weaknesses

  • No publicly documented API visible in research, limiting programmatic access and automated export capabilities.
  • Minimal reporting and analytics, leaving teams without insight into volume trends, cycle times, or bottleneck analysis.
  • Limited integration ecosystem compared to established helpdesk platforms, restricting connectivity with enterprise stacks.
  • Approval workflow customization is constrained, making complex multi-department or conditional approval scenarios difficult to model.
  • Web interface-centric design may frustrate users expecting mobile-first or real-time collaboration features.
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?

Standard Helpdesk migration. 2 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Request Manager and Zendesk.

  • Object compatibility

    B

    2 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

    Request Manager: Not publicly documented.

  • Data volume sensitivity

    B

    Request Manager doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Request Manager 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 Request Manager to Zendesk data migrations

Answers to the questions buyers ask most during Request Manager to Zendesk migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations complete in three to five weeks for organizations under 10,000 tickets with a clean vendor export file and fewer than 15 custom fields. Projects requiring vendor coordination for data extraction, more than 15 custom fields, or approval chain reconstruction into Zendesk SLA policies extend to eight to twelve weeks. The extraction strategy confirmation in step one is the critical path item that determines whether the timeline lands in the short or long range.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Request Manager.
Land in Zendesk, intact.

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