Project Management migration

Migrate from workspace.pm to Jira

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

workspace.pm logo

workspace.pm

Source

Jira

Destination

Jira logo

Compatibility

82%

9 of 11

objects map 1:1 between workspace.pm and Jira.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from workspace.pm to Jira is a migration from an enterprise PMO portfolio platform into a structured issue-tracking and project-management system. workspace.pm organizes work around Projects, nested Tasks, and a portfolio aggregation layer; Jira uses Projects containing Issues with configurable Issue Types (Epic, Story, Task, Bug) and no native Milestone object. The highest-risk step in this migration is export extraction: workspace.pm has no publicly documented API, so we coordinate a vendor-assisted export before building the migration pipeline. We transform workspace.pm Milestones into Jira Fix Versions, reconstruct portfolio-to-project associations as Jira Labels, and preserve time entries as worklogs where the destination Jira instance has time-tracking enabled. We do not migrate automations, workflows, Gantt chart configurations, or dashboard reports; we deliver a written inventory of these for your Jira admin to rebuild in Jira Automation or Jira Flow 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

workspace.pm logo

workspace.pm

What's pushing teams away

  • The platform is positioned for enterprise PMOs rather than small teams, so smaller organizations find the feature set and pricing model excessive for their needs.
  • Like many enterprise PM tools, the UI and workflow configuration can be complex for team members who only need to log time or check task status, driving adoption resistance.
  • Organizations seeking lighter-weight, consumer-grade PM tools may switch to platforms with lower learning curves and simpler onboarding.
  • Teams that rely heavily on native integrations with adjacent tools (HR systems, CRMs) report friction when workspace.pm lacks pre-built connectors.

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 workspace.pm objects map to Jira

Each row shows how a workspace.pm 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.

workspace.pm

Project

maps to

Jira

Project

1:1
Fully supported

workspace.pm Projects map directly to Jira Projects. We extract project name, status (active/archived), start and target dates, owner, and any project-level custom fields. Jira project creation uses the Jira Cloud REST API POST /rest/api/3/project. For Jira company-managed projects we set the project type key (software), template (Scrum or Bug Tracking), and issue security scheme. For team-managed projects the schema is lighter but fewer Jira automation options are available post-migration. Archived projects migrate as closed Jira projects with the original closure date preserved.

workspace.pm

Task

maps to

Jira

Issue

1:1
Fully supported

workspace.pm Tasks map to Jira Issues. The Issue Type (Epic, Story, Task, Bug) is assigned based on a customer-defined mapping rule established during scoping — by default workspace.pm Task maps to Jira Story, and workspace.pm Bug maps to Jira Bug. Standard field mapping: title -> Summary, description -> Description (stored as Jira rich text), status -> Status (via status category mapping: To Do, In Progress, Done), assignee -> Assignee (resolved by email against Jira User), due date -> Due Date, priority -> Priority (mapped by label). We set the parent Project reference at insert time.

workspace.pm

Subtask

maps to

Jira

Sub-Task Issue

1:1
Fully supported

workspace.pm Subtasks nested under Tasks map to Jira Sub-Task Issue Type. Jira requires that Sub-Task be enabled in the project's Issue Type Scheme. We preserve the parent-child relationship by setting the Parent Issue ID during insert. The Sub-Task inherits the parent's Project, Assignee, and Sprint if assigned. Jira's Sub-Task display in the parent Issue's detail view matches the workspace.pm task-subtask nesting that teams rely on for work breakdown.

workspace.pm

Milestone

maps to

Jira

Fix Version

lossy
Fully supported

workspace.pm Milestones have no direct Jira equivalent. Jira Software does not ship a native Milestone object. We transform Milestones into Jira Fix Versions (releases) with the following mapping: Milestone name -> Fix Version name, Milestone target date -> Fix Version release date, Milestone description -> Fix Version description. Each Issue in Jira that was assigned to a workspace.pm Milestone receives the corresponding Fix Version in its Fix Version / Affects Version field. Version-level reporting in Jira (burndown by version, release report) reconstructs the milestone tracking view. Jira administrators who prefer a dedicated Milestone label rather than Fix Version can alternatively use a Label with the milestone name; the choice is confirmed during scoping.

workspace.pm

Dependency

maps to

Jira

Issue Link

1:1
Fully supported

workspace.pm predecessor-successor task dependencies map to Jira Issue Links. We extract the dependency pair (predecessor task ID, successor task ID, dependency type if available) and create Jira Issue Link records with type Blocks on the successor issue pointing to the predecessor issue. Jira's default link types include Blocks, Is blocked by, Clone of, Relates, and Duplicates; we use Blocks for workspace.pm finish-to-start dependencies. The Jira Global Issue Linking setting must be enabled for the destination instance. Orphaned dependencies (where the predecessor or successor task was not migrated) are flagged in the reconciliation report and resolved manually.

workspace.pm

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

workspace.pm custom fields at project and task level map to Jira custom fields. We extract the full custom field schema (field name, data type, picklist options, and current values) during the pre-migration data audit. Jira Cloud supports the following custom field types relevant to this migration: Date picker, Date time picker, Number field, Select field (single select), Multi-select, Text field (single line and multi-line), URL, Labels, Checkbox, User picker (single and multi-user). workspace.pm picklist options map to Jira Select field options; multi-checkbox fields map to Jira Multi-select. Jira custom fields require context configuration (association to Issue Type and Project) before they accept data during import.

workspace.pm

Assignee / Resource

maps to

Jira

Assignee (plus custom allocation field)

1:1
Fully supported

workspace.pm Resource management records assign team members to projects and tasks with a role and an allocation percentage. In Jira, the Assignee field holds the primary assigned user. workspace.pm allocation percentage migrates as a Jira Number custom field allocation_pct__c scoped to the task-level Issue Type. Role information from workspace.pm (e.g., Developer, QA, Designer) migrates as a Labels custom field on the Issue if Jira Roles are not in use, or as a Jira Project Role membership where the destination team uses Jira's native role model. We resolve assignees by email match against the Jira User directory.

workspace.pm

Time Entry

maps to

Jira

Worklog

1:1
Fully supported

workspace.pm time entries (user, date, hours, description) map to Jira Worklog records. Jira's native time-tracking feature must be enabled in the destination project before worklogs can be inserted. We insert worklogs via the Jira REST API POST /rest/api/3/issue/{issueIdOrKey}/worklog with fields started (ISO 8601 with timezone), timeSpent (Jira duration format, e.g., 3h 30m), and comment. If Jira time-tracking is not enabled, time entries migrate as a Text field on the Issue. We validate that the Jira user performing the migration has the Worklog On Issues permission in the destination project.

workspace.pm

Comment

maps to

Jira

Comment

1:1
Fully supported

workspace.pm discussion threads on tasks and projects map directly to Jira Comments. We extract comment text, author (resolved by email to Jira User), and timestamp. Comments insert via the Jira REST API POST /rest/api/3/issue/{issueIdOrKey}/comment. Jira's add comment permission is validated per project before migration. Rich text formatting from workspace.pm comment bodies is preserved as Jira ADF (Atlassian Document Format) to the extent that the source export exposes structured formatting; plain text comments migrate as plain text Jira comments.

workspace.pm

Attachment

maps to

Jira

Attachment

1:1
Fully supported

File attachments linked to tasks or projects are exported as file references from workspace.pm and uploaded to Jira via the Jira REST API POST /rest/api/3/issue/{issueIdOrKey}/attachments. We transfer filename, uploader, upload date, and file URL. Jira's attachment size limit is 64 MB per file on most plans. Files exceeding this limit are flagged in the pre-migration audit and discussed with the customer — options include uploading to a shared storage location and linking via URL, or uploading the file to Jira's connected Google Drive or OneDrive integration.

workspace.pm

Portfolio

maps to

Jira

Labels (per project)

lossy
Fully supported

workspace.pm Portfolio-to-project associations do not have a direct Jira equivalent. Jira Product (Jira Software Premium) provides portfolio-level project grouping but requires an additional license. For standard Jira Software Cloud, we reconstruct portfolio membership as Jira Labels applied to each Project record: the label format is portfolio-{portfolio-name} allowing teams to filter across projects by label. Alternatively, Jira Components within a project provide a closer grouping construct if the portfolio structure maps to sub-project components rather than cross-project groupings. The customer confirms the preferred reconstruction strategy during scoping based on how they use portfolio views in workspace.pm.

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.

workspace.pm logo

workspace.pm gotchas

High

No public API documentation found for workspace.pm

Medium

Presentation-layer objects are not migratable

Medium

Portfolio data may not exist as a standalone exportable object

Low

Custom field schemas must be captured before decommissioning the source

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

  • workspace.pm has no public API — export requires vendor coordination

    Our research found no API endpoint documentation, authentication scheme, or export endpoint for workspace.pm. This is not a Jira migration issue — it is a workspace.pm platform constraint that directly affects migration timeline. We request a full data export from workspace.pm support or admin console before we can build any migration pipeline. Without a supported export mechanism, timelines extend by the vendor's response and export generation time. We flag this at the start of every scoping call and treat export availability as the first gate in the migration timeline.

  • Jira has no native Milestone object — transformation required

    workspace.pm Milestones are first-class objects with a name, target date, and project linkage. Jira Software Cloud does not have a native Milestone equivalent. We transform workspace.pm Milestones into Jira Fix Versions (releases) during migration. This preserves the date-based view and release reporting, but Jira Fix Versions are tied to specific projects rather than spanning multiple projects. For portfolios where milestones span across projects, we apply the same Fix Version name across all affected Jira projects and document the cross-project milestone mapping separately for the customer's review.

  • Portfolio-to-project associations require manual reconstruction

    workspace.pm's portfolio layer aggregates multiple projects under executive reporting views. Our research did not confirm whether portfolio membership exports as a discrete record set or must be reconstructed from project metadata. We include a pre-migration data audit step that extracts portfolio membership from workspace.pm's admin export or reporting views. Where portfolios do not export cleanly, we create tag-based Label groupings in Jira (e.g., portfolio-executive, portfolio-q4-launch) and deliver a written cross-reference table mapping each portfolio to its member Jira Projects. Jira Product (Premium tier) provides a native portfolio view that can replace workspace.pm portfolio dashboards if the customer upgrades.

  • Custom field schema definitions must be captured before export

    workspace.pm custom fields at the project and task level include a schema — field name, data type, and picklist options — that is often not included in standard data exports. We request a full schema capture (screen-capture of the custom field admin panel or a structured schema export) as part of the pre-migration audit. Without the schema, we cannot configure Jira custom fields with the correct data type and picklist options before data load, which causes rejected records and re-run migration attempts. Value mappings for picklist fields are handled explicitly during the mapping phase and confirmed with the customer before execution.

  • Jira automations, workflows, and boards are not migratable

    workspace.pm automations and Jira Automation for Cloud are different rule engines with different trigger-action models. We do not migrate automations as code. We deliver a written inventory of every workspace.pm automation (trigger, conditions, actions) with a recommended Jira Automation or Jira Flow equivalent and estimated rebuild effort. Jira Board configurations (Scrum board, Kanban board, backlog filters) are Jira Software native features and are not transferred from workspace.pm — teams configure these in Jira after migration based on the migrated issue structure. The inventory handoff document gives the customer's Jira admin a concrete rebuild checklist.

Migration approach

Six steps for a successful workspace.pm to Jira data migration

  1. Export coordination and data audit

    We initiate contact with workspace.pm support or work with the customer's workspace.pm admin to generate a full structured export covering all Projects, Tasks, Subtasks, Milestones, Dependencies, Custom Fields with schema definitions, Assignee/Resource records, Time Entries, Comments, and Attachments. The format is typically CSV or JSON depending on what workspace.pm's admin console exposes. If workspace.pm provides a UI export only, we extract the data and normalize it into a staging schema before building the transformation pipeline. This step gates the entire migration timeline; we do not begin pipeline development until a usable export is in hand.

  2. Jira destination setup

    We configure the Jira destination environment ahead of migration. This includes creating Jira Projects (using Jira Cloud REST API POST /rest/api/3/project), enabling the Sub-Task issue type in the project's Issue Type Scheme, creating Jira custom fields (via POST /rest/api/3/field) with correct types and picklist options mapped from the workspace.pm schema, enabling Jira time-tracking in projects that will receive time entries, and enabling Issue Linking (Blocks / Is blocked by link types). If the customer uses company-managed Jira projects, we also configure the relevant Issue Type Screen Scheme and Field Configuration. Jira project setup is validated in a Sandbox or non-production instance before production access is requested.

  3. Milestone and portfolio transformation design

    We design the Milestone-to-Fix-Version mapping using the exported workspace.pm Milestone records and confirm the mapping with the customer's PM lead. For portfolios, we design the Label-based grouping scheme using the exported portfolio-to-project associations or reconstructed groupings. Both designs are documented in the mapping specification and reviewed before any data is written to the production Jira instance. This step prevents post-migration structural surprises that are expensive to correct after records are inserted.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Jira Sandbox or a dedicated migration test environment. We reconcile record counts against the workspace.pm export (Projects in, Issues in, Sub-Tasks in, Worklogs in), spot-check 25-50 randomly selected Issues against source records, and verify that Fix Versions are assigned correctly, Issue Links are created, and custom field values are populated. The customer signs off on the sandbox migration before we proceed to production. Mapping corrections discovered during sandbox are incorporated before the production migration run.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Projects (created with metadata), Jira Fix Versions (created from workspace.pm Milestones), Jira Issues (with parent Project and Fix Version references resolved), Jira Sub-Tasks (with parent Issue reference resolved), Jira Issue Links (Blocks relationships), Jira Worklogs (via Jira REST API with time-tracking enabled), Jira Comments, and Jira Attachments (via REST API attachment endpoint). Jira's REST API rate limits on Standard tier (10 requests per minute per user) require batch chunking for large imports; we implement exponential backoff and queue retry for rate-limit responses. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze workspace.pm writes during the cutover window, run a delta migration for any records modified during the migration window, then enable Jira as the system of record. We deliver the workspace.pm automation inventory and Jira Automation rebuild guide to the customer's Jira admin. We provide a post-migration validation report showing record counts, error rates, and the Jira project and Fix Version structure. We support a one-week hypercare window for reconciliation issues raised by the customer's team. We do not rebuild workspace.pm automations as Jira Automation inside the migration scope; that rebuild work is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

workspace.pm logo

workspace.pm

Source

Strengths

  • Portfolio-level project aggregation with real-time dashboards for executive visibility across 10,000+ projects.
  • Dual deployment — managed cloud with 99.9% uptime or on-premises for data residency compliance.
  • ISO 27001-certified data center with structured security controls for enterprise procurement.
  • Integrated resource planning with capacity visualization and allocation percentage tracking.
  • Structured task hierarchy supporting Projects, Tasks, Subtasks, Milestones, and Dependencies.

Weaknesses

  • No publicly documented API surfaced in research, limiting programmatic export and making data extraction dependent on manual or vendor-assisted exports.
  • Kanban boards, Gantt charts, and dashboard reports are presentation-layer views — their configurations are not exportable as discrete data objects.
  • Pricing is enterprise-negotiated (contact sales), with no published per-user or tier breakdown, making cost comparison difficult pre-purchase.
  • The platform targets large PMOs; smaller teams may find the interface heavy and the feature set over-engineered for simple task management.
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. 5 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 workspace.pm and Jira.

  • Object compatibility

    C

    5 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

    workspace.pm: Not publicly documented. As an API-v2 gated feature, throughput is bounded by the customer's Automate subscription and confirmed with support during integration setup..

  • Data volume sensitivity

    A

    workspace.pm exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your workspace.pm 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 workspace.pm to Jira data migrations

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

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Most migrations land between two and four weeks for organizations with fewer than 10 projects, a clean task hierarchy, and a vendor-assisted export available within one to two weeks. Migrations with multiple portfolios, custom field schemas requiring reconfiguration in Jira, dependency link mapping across hundreds of tasks, and large time-entry histories move to six to ten weeks. The primary variable is export availability from workspace.pm — if the vendor-assisted export takes three to four weeks, the overall timeline extends accordingly.

Adjacent paths

Related migrations to explore

Ready when you are

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