Project Management migration
Field-level mapping, validation, and rollback between Output Time and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Output Time
Source
Jira
Destination
Compatibility
8 of 10
objects map 1:1 between Output Time and Jira.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Output Time to Jira is a structural migration from a standalone time-tracking tool to a full-featured issue management platform. Output Time organizes work as Projects containing Tasks and Subtasks with time entries attached; Jira uses Projects containing Issues with optional subtasks and native worklog tracking. The primary technical constraint on the source side is that Output Time has no documented public API, so migrations require direct database exports or manual CSV preparation before any data moves. We handle that scoping phase explicitly, validating the export schema before loading. On the Jira side, custom fields require context configuration (issue type associations) before they appear on issues, and Jira's native workflow engine is not migrated from Output Time because Output Time has no equivalent automation system. We deliver a written inventory of any Output Time workflow or automation concepts that need rebuilding as Jira automation rules post-migration.
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 Output Time 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.
Output Time
Project
Jira
Project
1:1Output Time Projects map directly to Jira Projects. We extract project name, description, status (active/archived), start date, and end date. The Jira Project key is derived from the Output Time project name (first letters or acronym if available). Project-level custom fields migrate as Jira Project Properties (key-value) or as custom fields on a configured Issue Type if the project has a shared custom field schema.
Output Time
Task
Jira
Issue
1:1Output Time Tasks map to Jira Issues. The task name becomes Issue Summary, description maps to Issue Description (with HTML preserved), due date maps to Due Date, priority maps to Priority (Critical/High/Medium/Low), and status maps to Status with a pre-migration status mapping document. Assignee resolves by email match against Jira User records. Parent project link is preserved via the Jira Project field.
Output Time
Subtask
Jira
Sub-task Issue Type
1:1Output Time Subtasks map to Jira Sub-task Issues within the same Project. The Sub-task issue type must be enabled in the Jira Project before migration. Parent-child relationships between subtask and task migrate as Jira Issue Links (Parent) with link type Blocks or is Sub-task of. We preserve the subtask hierarchy ordering based on Output Time's sequence or creation order field.
Output Time
Milestone
Jira
Fix Version
1:1Output Time Milestones map to Jira Fix Versions. Milestone name becomes Version Name, target date becomes Release Date, and description maps to Version Description. If the Output Time milestone applies to a specific project, we scope the Fix Version to that Jira Project. If milestones span multiple projects, we create a global version and document the cross-project association for manual assignment in Jira.
Output Time
Time Entry
Jira
Worklog
1:1Output Time Time Entries map to Jira Worklogs on the corresponding Issue. We map entry date to Worklog started (ISO 8601), duration in seconds to Time Spent (Jira format: 1h 30m), billable flag to a custom field jira_billable__c (boolean), and notes to Worklog Comment. Author resolves by email match against Jira User. Jira Free plan does not include time tracking; Standard plan or above is required for worklog functionality.
Output Time
User / Team Member
Jira
User
1:1Output Time Users map to Jira Users by email address. We extract display name, email, and role (Admin/Member). Inactive users in Output Time are flagged and mapped to Jira Users with inactive status or documented for the admin to deactivate post-migration. Jira requires active accounts for assignee fields; any unmapped user goes to a reconciliation queue.
Output Time
Client
Jira
Project Role or Contact Custom Field
lossyOutput Time Clients are contact records associated with projects. Jira does not have a native client object. We map Clients to either a Jira Project Role (e.g., Client) with email addresses added as default users, or to a custom field of type User Picker (single user) or Multi-user picker depending on whether clients represent organizations or individuals. The customer chooses the mapping during scoping.
Output Time
Custom Fields
Jira
Custom Fields
lossyOutput Time custom fields (key-value pairs) map to Jira custom fields of equivalent type: text values to Text Field, numeric values to Number Field, dates to Date Picker, true/false to Checkbox, and multi-select to Labels or Multi-select. Jira requires custom fields to be configured with Issue Type Context before they appear on issues; we handle context configuration as part of the schema design phase. Custom fields with unsupported value types default to Text Field.
Output Time
Tags / Labels
Jira
Labels
1:1Output Time Tags migrate to Jira Labels. Tags are stored as string arrays and become comma-separated Label values on the corresponding Issue. Jira Labels are shared across the instance, so tag collisions (identical tags from different Output Time projects) are preserved as a single Jira label. If the customer requires project-scoped tags, we document the alternative as a custom field with label picker.
Output Time
Attachments
Jira
Not migrated
1:1Output Time file attachments on tasks and projects are not accessible via any documented API endpoint. We inventory all attachments at the start of the migration, recording original filenames, attached-to-record references, and storage locations. We provide a manual re-upload checklist so the customer's team can restore attachments in Jira post-migration. This limitation is documented in the pre-migration scope document.
| Output Time | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Issue1:1 | Fully supported | |
| Subtask | Sub-task Issue Type1:1 | Fully supported | |
| Milestone | Fix Version1:1 | Fully supported | |
| Time Entry | Worklog1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Client | Project Role or Contact Custom Fieldlossy | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Tags / Labels | Labels1:1 | Mapping required | |
| Attachments | Not migrated1:1 | Not 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.
Output Time gotchas
No public API means migrations require manual or database-level export
Attachment files are not accessible via API
Custom fields may not map cleanly to destination schemas
Time entry billable flags may not transfer as expected
Invoice and billing data export is not standardized
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
Export preparation and schema discovery
We begin by assessing the Output Time instance to determine the available export method: direct database access, CSV export via the admin interface, or manual record extraction. We inventory all Projects, Tasks, Subtasks, Time Entries, Milestones, Users, Clients, Custom Fields, Tags, and Attachments, recording approximate counts and identifying any data quality issues (duplicate records, missing fields, orphaned subtasks). The customer prepares the export per our data extract guide while we build the Jira schema design document.
Jira schema design and project configuration
We design the Jira destination schema: Jira Projects are created or mapped from Output Time Projects, the Sub-task issue type is enabled in each project, Fix Version (milestone) settings are configured, and custom fields are created with appropriate types and issue type contexts. User accounts are provisioned or matched by email. We deploy the schema into a Jira Sandbox (if available) or a staging project for validation. Project leads review a sample of migrated issues against the original Output Time records and sign off before production migration.
Export validation and data cleaning
We validate the customer's Output Time export against our expected schema, flagging records with missing required fields (task with no project, subtask with no parent task, time entry with no task reference), duplicate records, and type mismatches (e.g., numeric values in text-only custom fields). We provide a data cleaning report to the customer with specific row numbers and correction guidance. Migration does not proceed until the export passes schema validation or the customer acknowledges outstanding data quality gaps.
Test migration to Jira staging
We run a full test migration into the customer's Jira staging environment using representative data volume. Project managers and team leads spot-check migrated issues, worklogs, custom field values, and milestone assignments against the Output Time source. Any mapping corrections (status values, priority mappings, custom field type adjustments) are documented and applied to the migration scripts before production migration begins. This step typically takes three to five business days.
Production migration in dependency order
Production migration runs in record-dependency order: Jira Users (validated from Output Time Users), Projects, Fix Versions (milestones), Issues (tasks with parent project assigned), Sub-tasks (with parent issue link resolved), Worklogs (with issue reference and author resolved), Custom Field values, and Labels. Each phase emits a row-count reconciliation report. The customer freezes write access to Output Time during the cutover window to prevent new records from being created mid-migration.
Cutover, validation, and handoff
We perform a final delta migration of any records created or modified during the cutover window, then validate record counts across all object types in Jira against the original Output Time export totals. We deliver the attachment inventory for manual re-upload, the invoice CSV for billing recreation, and the automation inventory document (if any Output Time workflow concepts were identified). We support a three-day hypercare window for reconciliation issues. We do not rebuild any Output Time workflows or automations as Jira automation rules; that work is documented separately for the customer's Jira admin or an Atlassian partner.
Platform deep dives
Output Time
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 Output Time 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
Output Time: Not publicly documented.
Data volume sensitivity
Output Time 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.
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FAQ
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