Project Management migration

Migrate from Teamwork.com to Jira

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

Teamwork.com logo

Teamwork.com

Source

Jira

Destination

Jira logo

Compatibility

92%

11 of 12

objects map 1:1 between Teamwork.com and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Teamwork.com to Jira is a structural migration: Teamwork.com organizes work hierarchically under Projects with Tasks carrying Subtasks, Milestones, and Time Entries, while Jira uses a flat Issue model where Stories, Tasks, and Bugs live in Projects with optional parent-child Links and Fix Version fields. We resolve the task-to-issue-type mapping during scoping, preserve Teamwork.com's task hierarchy through Jira linked issues, and carry Time Entries into Jira Work Logs against their source issues. Teamwork.com's built-in billing and client portal have no direct Jira equivalents; we document these as manual-rebuild candidates for the customer's admin. Workflows, automations, and the TeamworkAI smart scheduler do not migrate; we deliver a written inventory of every active automation rule requiring rebuild in Jira Automation or Forge. The migration runs against Jira's REST API with rate-limit handling and parent-record lookup resolution at every phase.

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

Teamwork.com logo

Teamwork.com

What's pushing teams away

  • Performance degrades noticeably as workspace size grows, with users reporting slower run times once multiple concurrent projects accumulate significant task volumes.
  • UI changes happen regularly and some frequently-used features become buried under new menu structures or require multi-step hover interactions to access.
  • Most advanced features including Custom Fields, billing, and workload management require upgrading to paid tiers, locking core functionality behind per-user costs.
  • Onboarding curve is steep for non-technical team members who need to understand the distinction between Projects, Tasks, Lists, and Milestones before the tool feels intuitive.

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 Teamwork.com objects map to Jira

Each row shows how a Teamwork.com 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.

Teamwork.com

Project

maps to

Jira

Project

1:1
Fully supported

Teamwork.com Projects map directly to Jira Projects. We preserve project name, description, start and end dates, and status (Active, On Hold, Completed). Project-level custom fields from Teamwork.com migrate to Jira custom fields scoped to the target project. Jira project type (team-managed or company-managed) is determined during scoping; company-managed is recommended for organizations with existing Jira administration governance.

Teamwork.com

Task

maps to

Jira

Issue (Story, Task, Bug)

1:1
Fully supported

Teamwork.com Tasks map to Jira Issues with the type determined by a scoped rule: tasks with a bug-like label or priority flag map to Jira Bug; tasks linked to a release milestone map to Jira Story; all others map to Jira Task. Assignee, due date, priority (low/normal/high/critical mapping to Jira priority levels), estimated time, and description (as rich text) migrate directly. Task List membership from Teamwork.com becomes a Jira Component or label depending on the customer's naming convention preference.

Teamwork.com

Subtask

maps to

Jira

Sub-Task Issue

1:1
Fully supported

Teamwork.com Subtasks map to Jira Sub-Task issues linked to their parent Issue via the issuelinks relationship. Each subtask carries its own assignee, due date, status, and estimated time. We extract subtasks as a flat list keyed by parent task ID and reconstruct the hierarchy in Jira using the 'jira_subtask' link type. Note: completing a parent task in Jira does not cascade to subtasks, matching Teamwork.com's non-propagating parent-complete behavior.

Teamwork.com

Milestone

maps to

Jira

Fix Version

1:1
Fully supported

Teamwork.com Milestones map to Jira Fix Versions (releases) on the target project. We preserve milestone name, due date, and description. If a Teamwork.com milestone is linked to specific tasks, we record the linked task IDs in a custom Jira field tw_milestone_links__c so that the relationship is queryable post-migration. Milestone color coding has no Jira equivalent and is documented for manual re-creation in project settings.

Teamwork.com

Time Entry

maps to

Jira

Work Log

1:1
Fully supported

Teamwork.com Time Entries migrate to Jira Work Logs against their source Issue. Each work log preserves the logged duration (in seconds), the billable flag (mapped to a custom Jira field tw_billable__c), and the time entry date. Hourly rates do not migrate to Jira (no rate field on Work Log); we export the rate data to a CSV delivered alongside the migration for the customer's admin to use in billing reconstruction in an external tool. Project-level time entries without a task anchor are logged against a placeholder 'Project Setup' issue created during migration.

Teamwork.com

User

maps to

Jira

User

1:1
Fully supported

Teamwork.com Users map to Jira Users by email address match. User profile fields (name, email, role) migrate; hourly cost rate from Teamwork.com is written to a custom Jira field tw_hourly_rate__c for reference. Any Teamwork.com user without a matching Jira account goes to a reconciliation queue for the admin to provision before record migration resumes.

Teamwork.com

Team

maps to

Jira

Group

1:1
Fully supported

Teamwork.com Teams map to Jira Groups. Project-level team permissions are translated to Jira project role assignments during migration. We preserve team membership and document the role each team holds per project so that the customer's Jira admin can assign project roles accordingly. Note: Jira Groups are site-wide, matching Teamwork.com's global Teams concept, but Jira project roles add a second permission scoping layer not present in Teamwork.com.

Teamwork.com

Comment

maps to

Jira

Comment

1:1
Fully supported

Teamwork.com Task Comments migrate to Jira Issue Comments with full text, author attribution, and creation timestamp preserved. @mentions in Teamwork.com comments are written as plain text references in Jira (Jira does not support cross-user @mention notifications on imported comments). Comment threading is preserved as sequential comments ordered by timestamp.

Teamwork.com

Tag

maps to

Jira

Label

1:1
Fully supported

Teamwork.com Tags migrate to Jira Labels on the corresponding Issues. Tags are simple string labels with no hierarchy in either platform, making this a direct 1:1 map. We deduplicate tag names during import to avoid Jira's label limit (max 32768 labels per global label list). Customer chooses whether to scope labels globally or per-project during scoping.

Teamwork.com

Custom Field (Premium tier)

maps to

Jira

Custom Field

1:1
Fully supported

Teamwork.com Custom Fields (project-level and site-wide) migrate to Jira Custom Fields scoped to the target project. Dropdown (select) and multi-select custom fields carry their option arrays; we pre-create the Jira custom field options during schema setup so that the enumerated values are valid on import. Text, number, date, and URL custom field types map directly. This mapping requires a Teamwork.com Premium-equivalent plan on the source account; we detect the subscription tier during scoping and flag any custom field definitions that cannot be read via API before migration begins.

Teamwork.com

Client

maps to

Jira

Organization (Jira Service Management) or Project

lossy
Fully supported

Teamwork.com Clients (organizations with associated projects, contacts, and billing rates) have no direct Jira Software equivalent. If the destination includes Jira Service Management, Clients map to Organizations. If the destination is Jira Software only, Clients are documented in a delivered CSV with their associated projects, contact names, and billing rates for manual re-creation or external CRM integration. The customer decides during scoping whether Jira Service Management Organizations are in scope.

Teamwork.com

Invoice

maps to

Jira

Not migrated

1:1
Fully supported

Teamwork.com Invoices (generated from billable time entries and expense records) are not migrated to Jira. Jira Software has no invoicing or billing capability. We export invoice headers, line items, payment status, and tax configurations to a structured CSV delivered alongside the migration. The customer imports this into their accounting system (QuickBooks, Xero, NetSuite) or recreates records manually. This is documented explicitly in the migration scope before migration begins.

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.

Teamwork.com logo

Teamwork.com gotchas

High

Custom Fields are locked behind the Premium subscription tier

Medium

API returns different field sets depending on endpoint version

Medium

Project-level and site-wide custom fields are distinct schema entities

Low

Completing parent tasks does not cascade to subtasks

Low

Rate limits are per-user-seat multiplier, not fixed

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

  • Jira and Teamwork.com use fundamentally different schema structures

    Atlassian community forum posts from 2018-2023 consistently identify the schema mismatch between Teamwork.com and Jira as the primary migration challenge. Teamwork.com organizes work hierarchically under Projects with Tasks, Task Lists, Subtasks, and Milestones as distinct entity types; Jira uses a flat Issue model where Stories, Tasks, Bugs, and Epics are all Issue Types within a Project, with parent-child relationships managed through explicit Issue Links. Subtasks in Teamwork.com are a distinct nested record type; Jira Sub-Tasks are a separate Issue Type linked via the 'jira_subtask' relationship. We resolve this by running a task-type classification pass before migration, mapping each Teamwork.com entity to a Jira Issue Type and link type, and reconstructing hierarchies via the Jira REST API's issuelinks endpoint.

  • Teamwork.com Custom Fields require Premium API access

    Teamwork.com gates Custom Fields behind the Premium subscription tier. If the source account is on Starter or Deliver, the API returns an empty custom field set even if custom field values were entered in the UI. We detect the subscription tier during scoping and read custom field definitions via the V2 API endpoint (not V1, which does not support includeCustomFields=true). If the account is below Premium, we advise the customer to temporarily upgrade or to document custom field definitions manually before migration begins. Custom field values in Jira are created during schema setup, not during data migration, to ensure enumerated option validity.

  • Jira Work Logs attach to Issues, not to Projects directly

    Teamwork.com Time Entries can be logged at the project level (with no task anchor) or at the task level. Jira Work Logs are strictly attached to an Issue. Project-level Teamwork.com time entries without a task anchor have no direct Jira equivalent. We create a placeholder 'Project Administration' Jira issue per project and attach project-level time entries to it. The customer receives a mapping document identifying every placeholder issue and the time entries attached to it so that billing reconstruction can be completed in an external tool.

  • Jira Automation and Teamwork.com Automations are not equivalent

    Teamwork.com Automations (available on all tiers) use triggers, conditions, and actions scoped to individual projects. Jira Automation uses a different rule model with global and project-level scopes, different trigger types (issue-created, field-changed, scheduled), and different action libraries. We do not migrate automations as code. We deliver a written inventory of every active Teamwork.com Automation with its trigger, conditions, actions, and project scope, plus a Jira Automation equivalent recommendation for each rule. The customer's admin rebuilds the automations in Jira Automation (free tier) or Jira Automation for Jira (Premium) post-migration. TeamworkAI smart scheduling rules are flagged as derivative and documented separately.

  • Jira has no native billing, invoicing, or client portal

    Teamwork.com's built-in billing, invoicing, financial dashboards, and client portal features have no direct Jira Software equivalents. Invoices migrate as a structured CSV export only. Client portal access for external stakeholders requires Jira Service Management at additional cost, which is a separate product with its own data model. If the customer relies on Teamwork.com's billing or client-facing portal features, we document the feature gap and recommend Jira Service Management Organizations (for client tracking) and Confluence (for client-facing documentation) as partial replacements, noting that full portal functionality requires a separate implementation engagement.

Migration approach

Six steps for a successful Teamwork.com to Jira data migration

  1. Discovery and subscription verification

    We audit the Teamwork.com account across subscription tier, project count, task hierarchy depth (Tasks, Subtasks, Task Lists), active milestones, time entry volume, custom field definitions (project-level and site-wide), active Automations, and user count. We verify the subscription tier because Custom Fields are inaccessible via API on Starter and Deliver plans. We pair this with a Jira project type decision: company-managed is recommended if the customer has existing Jira governance and admin resources; team-managed is faster to provision for smaller teams. The discovery output is a written migration scope document and Jira project type recommendation.

  2. Schema design and Jira project configuration

    We design the Jira destination schema: custom fields (with type-mapped Jira field types and option arrays from Teamwork.com dropdowns), Issue Type scheme (mapping Teamwork task types to Story, Task, Bug, and Sub-Task), Fix Versions (from Teamwork milestones), Components (from Teamwork Task Lists), and Labels (from Teamwork Tags). We configure the Jira project in a Sandbox or test environment first, deploy custom fields via the Jira REST API, and validate that enumerated picklists accept all imported option values before data migration begins. If Jira Service Management Organizations are in scope, we pre-create the organization records.

  3. Sandbox migration and reconciliation

    We run a full migration into the Jira test environment using production-like data volume. The customer reconciles record counts (Projects in, Issues in, Sub-Tasks in, Work Logs in), spot-checks 25-50 random issues against the Teamwork.com source for field accuracy, and validates that subtask hierarchy, milestone-to-fix-version linkage, and time entry attachment are correct. Any mapping corrections and custom field type adjustments happen in the test environment before production migration begins.

  4. User and group provisioning

    We extract every distinct Teamwork.com User referenced on tasks, subtasks, time entries, and comments and match by email against the Jira destination User table. Teams are mapped to Jira Groups with project role assignments. Any Teamwork.com user without a matching Jira account goes to a reconciliation queue; the customer's Jira admin provisions missing users before record migration resumes. User provisioning is a prerequisite for Assignee field population on issues.

  5. Production migration in dependency order

    We run production migration in dependency sequence: Jira project configuration (custom fields, Issue Types, Fix Versions, Components), Users and Groups, Projects (as Jira Projects), Milestones (as Fix Versions), Tasks (as Jira Issues with Issue Type assignment), Subtasks (as Sub-Task Issues linked to parents), Time Entries (as Work Logs against source issues), Comments (as Jira Comments), Tags (as Jira Labels), and Custom Fields (mapped to Jira custom fields). Each phase emits a row-count reconciliation report before the next phase begins. Work logs are written in batch via Jira's REST API with exponential backoff on rate-limit responses.

  6. Cutover, delta sync, and handoff

    We freeze Teamwork.com writes during cutover, run a final delta migration of any tasks, subtasks, time entries, or comments modified during the migration window, then enable Jira as the system of record. We deliver the Automation inventory document, the invoice CSV export, the time-entry-to-placeholder-issue mapping, and the client organization CSV (if applicable) to the customer's admin. We support a one-week hypercare window for reconciliation issues. Rebuilding Teamwork.com Automations in Jira Automation, recreating client portal access via Jira Service Management, and integrating billing data with an external accounting tool are outside standard migration scope and are separate engagements.

Platform deep dives

Context on both ends of the pair

Teamwork.com logo

Teamwork.com

Source

Strengths

  • Tight integration between time tracking, billing rates, and project budgets enables profitability reporting without exporting to external tools.
  • Multiple simultaneous views on the same project data (Gantt, board, list, table) serve different team member working styles without context switching.
  • Client portal gives external stakeholders visibility without exposing internal project tooling or requiring email chains.
  • 150+ native integrations including HubSpot, QuickBooks, Salesforce, and NetSuite reduce the need for data duplication across tools.
  • AI-powered smart scheduler and resource assignments help teams identify capacity gaps before committing to new project work.

Weaknesses

  • Performance slows noticeably once workspaces accumulate multiple concurrent projects with hundreds of tasks and time entries.
  • UI undergoes frequent design updates that sometimes relocate frequently-used features, creating a persistent adjustment burden for power users.
  • Feature tier gating means custom fields, billing, and workload views are locked behind per-user Premium costs, limiting adoption for budget-constrained teams.
  • No native Gantt dependency automation means task chain sequencing requires manual maintenance or third-party add-ons.
  • Minimum user requirements on paid tiers (3+ users reported) make the platform impractical for very small solo or two-person agencies.
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?

Standard Project Management migration. 3 of 8 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 Teamwork.com and Jira.

  • Object compatibility

    B

    3 of 8 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

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

  • API constraints

    B

    Teamwork.com: Rate limits scale with user seat count; base quota units per hour multiplied by number of seats on the account.

  • Data volume sensitivity

    A

    Teamwork.com exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Teamwork.com 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 Teamwork.com to Jira data migrations

Answers to the questions buyers ask most during Teamwork.com 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 under 10,000 tasks, 200 projects, and 50,000 time entries with no complex custom field dependencies. Migrations with deep subtask chains, extensive time entry histories, project-level and site-wide custom field sets, or Jira Service Management organization scopes move to eight to twelve weeks because of Jira schema pre-creation, work-log parent resolution, and the custom field option array validation required before data import.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Teamwork.com.
Land in Jira, intact.

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