Project Management migration

Migrate from Output Time to Jira

Field-level mapping, validation, and rollback between Output Time and Jira. We move data and schema; workflows are rebuilt natively in Jira.

Output Time logo

Output Time

Source

Jira

Destination

Jira logo

Compatibility

80%

8 of 10

objects map 1:1 between Output Time and Jira.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Output Time logo

Output Time

What's pushing teams away

  • Users report that Output Time lacks integrations with popular tools like Slack, QuickBooks, and Google Workspace, limiting its utility in modern stacks.
  • The platform's interface and feature set have not kept pace with competitors, with users citing outdated UX and missing agile methodologies support.
  • Teams requiring real-time collaboration, live dashboards, or advanced reporting find Output Time insufficient for their needs.
  • Absence of a public API makes Output Time difficult to automate, integrate, or migrate data out of, frustrating technical users.
  • Scaling beyond small team usage reveals performance issues, limited customization, and lack of enterprise features like SSO and audit logging.

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How Output Time objects map to Jira

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

maps to

Jira

Project

1:1
Fully supported

Output 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

maps to

Jira

Issue

1:1
Fully supported

Output 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

maps to

Jira

Sub-task Issue Type

1:1
Fully supported

Output 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

maps to

Jira

Fix Version

1:1
Fully supported

Output 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

maps to

Jira

Worklog

1:1
Fully supported

Output 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

maps to

Jira

User

1:1
Fully supported

Output 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

maps to

Jira

Project Role or Contact Custom Field

lossy
Fully supported

Output 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

maps to

Jira

Custom Fields

lossy
Mapping required

Output 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

maps to

Jira

Labels

1:1
Mapping required

Output 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

maps to

Jira

Not migrated

1:1
Not supported

Output 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.

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.

Output Time logo

Output Time gotchas

High

No public API means migrations require manual or database-level export

High

Attachment files are not accessible via API

Medium

Custom fields may not map cleanly to destination schemas

Medium

Time entry billable flags may not transfer as expected

Low

Invoice and billing data export is not standardized

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • Output Time has no API; migrations require manual or database export

    Output Time does not publish a documented public API, so we cannot programmatically pull records via OAuth or API key. We handle this by requesting direct database export access or working with CSV and manual exports prepared by the customer. This adds scoping time (typically one to two weeks) because the customer must prepare data extracts and we must validate the export schema against our expected format before loading. Any missing or truncated records from the export surface in validation before migration begins.

  • Jira custom fields require issue type context before migration

    Jira custom fields are not available on all issue types by default; they require a custom field context that specifies which project and issue type combinations the field applies to. If the context is not configured before import, the field values fail to write silently or appear only after the issue is edited. We configure custom field contexts during the schema design phase, but any post-scope custom field additions require re-configuration before data load. Jira administrators report this as a frequent migration issue (Atlassian Community, known issue JRASERVER-28006).

  • Jira Free plan does not include time tracking or automation

    Jira's Free plan (up to 10 users) does not include the time tracking module, custom fields beyond a limited set, or automation rules. If the customer is migrating time entries and plans to use Jira Free, worklogs will not function and custom field mapping will be constrained. We confirm the Jira plan tier during scoping and recommend Standard ($9.05/user/mo) or above if time tracking or automation is required. This constraint is surfaced explicitly in the pre-migration scope document.

  • Output Time invoice and billing data has no Jira equivalent

    Output Time includes invoicing capabilities with line items, totals, and status tracking. Jira Software does not have an invoice or billing object. Invoice data extracted from Output Time is delivered as a structured CSV summary (line items, totals, status, client reference) for manual recreation in an external billing tool (QuickBooks, FreshBooks, Stripe) or the customer's ERP. We do not migrate invoice PDFs; these require re-generation in the destination billing system.

  • Issue links between migrated records require post-migration reconstruction

    If Output Time records contain cross-record references or dependencies (e.g., a task linked to another task or project), these links do not migrate automatically because Output Time does not have a documented link type schema. We inventory any identified cross-record references during scoping and provide a written mapping of link pairs to be reconstructed manually in Jira or via a post-migration script using the Jira REST API issue links endpoint.

Migration approach

Six steps for a successful Output Time to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Output Time logo

Output Time

Source

Strengths

  • One-time payment pricing eliminates ongoing subscription costs and simplifies budget planning for small teams.
  • Unlimited users and clients on any plan removes seat-based restrictions common in competing tools.
  • Built-in time tracking with billable hour recording supports agencies and consultants managing client work.
  • Task hierarchy with milestones, subtasks, and due dates provides sufficient structure for straightforward project management.
  • Self-hosted or lightweight cloud deployment options give teams control over data residency.

Weaknesses

  • No documented public API restricts automation, third-party integrations, and data export capabilities.
  • Limited feature set compared to modern project management platforms; lacks Gantt charts, resource management, and agile boards.
  • Minimal collaboration features including no real-time sync, commenting, or document co-editing.
  • No mobile app or limited mobile UX restricts access for field or remote workers.
  • Absence of enterprise features such as SSO, SCIM provisioning, role-based access controls, and audit logging.
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Moderate Project Management migration. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Output Time and Jira.

  • Object compatibility

    C

    1 of 8 objects need a manual workaround.

  • Field mapping clarity

    C

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

  • Timeline complexity

    B

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

  • API constraints

    B

    Output Time: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Output Time to Jira 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 Output Time to Jira data migrations

Answers to the questions buyers ask most during Output Time to Jira migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts with up to 500 projects and 10,000 tasks. The export preparation phase (one to two weeks) is the primary driver of the initial timeline because Output Time has no API and requires manual data extraction. Migrations with large time entry histories (over 100,000 worklogs), extensive custom field schemas, or multiple Output Time instances to consolidate into a single Jira instance extend to six to ten weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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