Project Management migration
Field-level mapping, validation, and rollback between Trigger and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Trigger
Source
Jira
Destination
Compatibility
7 of 12
objects map 1:1 between Trigger and Jira.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from Trigger to Jira involves two structural challenges that a direct CSV import cannot resolve. First, Trigger publishes no public API and all data must be exported as separate CSVs then joined in-memory to reconstruct relationships between tasks, projects, and time entries. We extract all five Trigger views within a single session to minimize record-count drift between exports. Second, Trigger's task-subtask hierarchy must be flattened during export and re-assembled at the destination as Jira sub-tasks under their parent issue. We set the Issuetype field to Sub-task for all nested records before ingestion. Time entries map to Jira worklog records with the Author field resolved via email lookup against the destination User table. Invoices present a structural mismatch: Trigger computes invoice totals from billable time entries rather than storing discrete line items, so we import time entries first, then create Jira issues representing each invoice with line-item notes referencing the original time entries. We do not migrate workflows, automations, or project templates as Jira configuration; we deliver a written inventory of every Trigger project template and automation rule for your admin to rebuild.
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 Trigger object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Trigger
Client
Jira
Project + Contact
1:manyTrigger Clients map to Jira Projects (the client workspace) plus a nominated Project Contact person stored as a Jira user or as a Contact in Jira's native contact model if the Jira Service Management integration is active. We export client name, email, billing address, and currency setting and map currency to the Jira Project's default billing currency field. Clients without a billing address are flagged before import since Jira Projects have no optional-address equivalent — these land as incomplete and require manual completion post-migration.
Trigger
Project
Jira
Project
1:1Trigger Projects map directly to Jira Projects. The Trigger project manager assignment maps to the Jira Project Lead field. Start date and due date become the Jira Project's start and end dates. The hourly budget cap from Trigger becomes a custom field trigger_project_budget_hours__c on the Jira Project since Jira does not have a native budget field. The client association resolves to the Jira Project key as the shared reference field.
Trigger
Task
Jira
Issue (Issuetype: Task or Story)
1:1Trigger Tasks map to Jira Issues with Issuetype set to Task. The Trigger assignee maps to Jira's Assignee field resolved by email against the Jira User directory. Priority maps from Trigger's priority values (Low, Medium, High, Urgent) to Jira Priority field values. Due date maps directly. Estimated hours map to the Jira Original Estimate field. The task description from Trigger migrates to the Jira Description field, preserving line breaks and basic formatting.
Trigger
Subtask
Jira
Issue (Issuetype: Sub-task)
1:1Trigger Subtasks nested under parent Tasks require flattening during export. We identify subtasks by their parent-task reference, export the full hierarchy, then set Jira Issuetype to Sub-task on the child records and link them to the parent Jira Issue via the Parent Link field. This requires Jira's Sub-tasks feature to be enabled per project before import. Subtask-specific fields (if any exist beyond the inherited parent fields) map to Jira custom fields created before ingestion.
Trigger
Time Entry
Jira
Worklog
1:1Trigger Time Entries linked to tasks map to Jira Worklog records on the corresponding Jira Issue. The time spENt field maps from Trigger's duration value. The date of the time entry maps to the Worklog's started date. The billable flag maps to a custom field trigger_billable__c on the Worklog. The user who logged time is resolved by email match against Jira Users. Jira's Bulk API 2.0 is used for large worklog imports (over 5,000 records) with chunking at 1,000 records per batch. Non-billable time entries also migrate as Worklogs with the billable flag cleared.
Trigger
Invoice
Jira
Issue (custom type) + Worklog references
1:manyTrigger Invoices do not have discrete line items — invoice totals are computed from billable time entries. We reconstruct invoice records by first importing all billable time entries as Jira Worklogs (mapping_type row above), then creating Jira Issues with Issuetype = Task and a custom field trigger_invoice_id__c referencing the original Trigger Invoice ID. The invoice total and status (draft, sent, paid, overdue) are stored as custom fields on this Jira Issue, and the worklog-linked time entries carry the invoice context in their trigger_invoice_id__c field. Customers should confirm whether Jira's ecosystem of invoice apps (Invoice Ninja, Zoho Invoice) is in scope as a parallel migration step.
Trigger
User
Jira
User
1:1Trigger User records map to Jira User accounts by email address as the dedupe key. Trigger's admin or member role maps to Jira's Global Permissions (Admin or User) set manually post-provisioning since Jira permissions are permission scheme-based rather than simple role flags. The hourly rate from Trigger maps to a custom field trigger_hourly_rate__c on the Jira User record. Jira Users without a matching Trigger User are not created automatically — the customer's Jira admin provisions any new team members post-migration.
Trigger
Custom Field (Project-level)
Jira
Custom Field (Project-level)
lossyTrigger project-level custom fields require Jira custom fields to be pre-created before record import. Jira field types must match Trigger field types: text fields map to Jira Text Field (single-line), long-text fields map to Jira Text Field (multi-line), number fields map to Jira Number Field, and date fields map to Jira Date Picker. We export the Trigger custom field definition alongside values and create equivalent Jira custom fields via the Jira REST API before data ingestion. Trigger custom fields without a direct Jira type equivalent are mapped to Jira Text Field (single-line) as the closest fallback.
Trigger
Custom Field (Task-level)
Jira
Custom Field (Issue-level)
lossyTrigger task-level custom fields (for example, a custom Priority Override or Client PO Number) map to Jira Issue-level custom fields. Jira's custom field context must be scoped to the relevant project or issue type before import. If a Trigger custom field uses a multi-select or checkbox pattern, we map to Jira's Labels or Multi-select custom field depending on the value count. Validation rules on Jira custom fields must be relaxed or removed during import to prevent null-value rejections.
Trigger
Locked or Archived Project
Jira
Project (status preserved)
1:1Trigger locked or archived projects require explicit flagging during export. Jira has no direct equivalent to a locked project state — archived Jira projects are hidden but not locked. We export locked Trigger projects as standard Jira Projects with a custom field trigger_record_status__c set to Archived or Locked, and we configure Jira's project sharing settings to restrict access to these records. Customers should confirm whether archived projects need to be migrated at all or whether they can remain in Trigger as a read-only archive.
Trigger
Project Template
Jira
Project Template (Jira)
lossyTrigger project templates define a reusable project structure with pre-populated task lists and default values. Jira's project templates work differently — Jira uses project types and blueprints rather than saved template projects. We do not migrate project templates as code. We deliver a written inventory of every Trigger project template listing its tasks, default assignees, estimated hours, and recurring structure so that the customer's Jira admin can recreate equivalent Jira project templates using Jira's built-in template system or the Structure for Jira app for more complex template requirements.
Trigger
Attachment
Jira
Attachment
1:1Trigger task attachments are included in the CSV export as file path references. Jira supports file attachments up to 256MB per file via the REST API. We attempt to re-upload attachments to the corresponding Jira Issue after the issue record is created, using the Jira Attachment API. Attachments exceeding Jira's size limit are flagged for manual re-upload. If Trigger attachments are stored outside the platform (for example, in a linked Google Drive or Dropbox folder), we note the external URL in a Jira comment on the issue rather than attempting an internal upload.
| Trigger | Jira | Compatibility | |
|---|---|---|---|
| Client | Project + Contact1:many | Fully supported | |
| Project | Project1:1 | Fully supported | |
| Task | Issue (Issuetype: Task or Story)1:1 | Fully supported | |
| Subtask | Issue (Issuetype: Sub-task)1:1 | Fully supported | |
| Time Entry | Worklog1:1 | Fully supported | |
| Invoice | Issue (custom type) + Worklog references1:many | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Field (Project-level) | Custom Field (Project-level)lossy | Fully supported | |
| Custom Field (Task-level) | Custom Field (Issue-level)lossy | Fully supported | |
| Locked or Archived Project | Project (status preserved)1:1 | Fully supported | |
| Project Template | Project Template (Jira)lossy | Fully supported | |
| Attachment | Attachment1:1 | 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.
Trigger gotchas
No documented public API for automated exports
Invoice line items are derived, not stored as discrete objects
Client billing address is optional and stored inconsistently
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
Discovery and CSV export coordination
We schedule a coordinated export session with the customer. All five Trigger CSV exports (Clients, Projects, Tasks, Time Entries, Invoices) are downloaded within the same browser session to minimize record-count drift. We cross-check row counts across exports, flag any locked or archived records, identify clients without billing addresses, and review the Trigger custom field definitions (names and types) for Jira equivalence mapping. The discovery output is a written migration scope, a Jira project and issue type scheme recommendation, and the export manifest.
Jira destination setup
We create the Jira destination structure before any data ingestion. This includes provisioning Jira Projects (one per Trigger Client or one per Trigger Project depending on the chosen mapping model), enabling the Sub-task Issuetype in each project's Issue Type Scheme, creating custom fields matching every Trigger custom field definition with type-appropriate Jira field types, and applying a workflow scheme. We set up the Jira migration user account with Bulk API and Attachment API permissions. Jira permissions are scoped to allow the migration user to create issues and worklogs; we coordinate with the customer's Jira admin to temporarily relax validation rules that could reject null values during the import window.
Export flattening and relationship join
We load the five Trigger CSV exports into a staging environment and perform the relationship join in-memory. Tasks are matched to their parent Projects via the project_id foreign key. Subtasks are identified by their parent_task_id reference and flagged for sub-task issuance during Jira ingestion. Time Entries are matched to their parent Tasks via task_id. Invoices are joined with their associated billable time entries to reconstruct the invoice context. This flattening step produces the normalized record set that maps to Jira's issue and worklog structure.
User and assignee resolution
We extract every distinct Trigger User email referenced on tasks and time entries and match against the Jira destination User table by email. Jira Users must be provisioned in the destination org before record import begins. Users without a matching Jira account go to a reconciliation queue for the customer's admin to provision. The Jira admin also assigns the appropriate permission scheme to each migrated User during this window.
Production migration in dependency order
We run production migration in strict record-dependency order: Jira Projects first (from Trigger Clients and Projects), then Jira Issues with standard Issuetype Task (from Trigger Tasks), then Jira Sub-task Issuetype Issues (from Trigger Subtasks), then Jira Worklogs (from Trigger Time Entries), then invoice-reconstruction Issues with custom fields. Each phase emits a row-count reconciliation report before the next phase begins. Jira Bulk API 2.0 is used for worklog batches exceeding 1,000 records with chunking at 500 records per batch and exponential backoff on rate-limit responses.
Cutover, delta sync, and handoff
We freeze Trigger writes during the final cutover window, run a delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the project template inventory document and the automation rule spec for the customer's Jira admin to rebuild using Jira's built-in template system and Jira Automation. We support a one-week post-cutover window to resolve reconciliation issues. Workflow rebuilds, automation rebuilds, project template configuration, and invoice app setup are outside standard migration scope and require a separate engagement or internal admin work.
Platform deep dives
Trigger
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Trigger and Jira.
Object compatibility
1 of 8 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Trigger: Not publicly documented..
Data volume sensitivity
Trigger 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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