Project Management migration

Migrate from ProjectManager to Jira

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

ProjectManager logo

ProjectManager

Source

Jira

Destination

Jira logo

Compatibility

55%

6 of 11

objects map 1:1 between ProjectManager and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ProjectManager organizes work into Workspaces containing Projects, Tasks, Resources, ResourceTeams, and Risks, with custom ProjectFields and TaskFields extending both objects. Jira organizes work into Projects containing Issues with type variants (Story, Task, Bug, Epic) and Sprints. The structural shift is task hierarchy: ProjectManager uses a WBS with parent-child Task relationships and a dynamic scheduling engine that cascades dates on every update, while Jira models epics above stories and tasks, with dependency links carrying Forward/Backward lag but no automatic date recalculation. We sequence task imports to respect dependency order and lock dates where the source explicitly set them, since importing out of topological order triggers a cascade that overwrites manually-set dates. Custom fields require a two-step API process in both platforms, and timesheet billing data carries platform-specific rate structures that do not map directly to Jira's worklog model. Workflows, automations, and reporting dashboards do not migrate; we deliver a written inventory for the customer's admin to rebuild in Jira.

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

ProjectManager logo

ProjectManager

What's pushing teams away

  • The mobile app is described as a lite version of the desktop interface, frustrating field teams who need full Gantt and task functionality on-site.
  • New users report a steep learning curve with no guided onboarding flow, leading to low adoption in organizations that skip formal training.
  • Report customizations and forecasting capabilities are limited compared to purpose-built BI tools, limiting insight depth for data-driven PMOs.
  • The interface is described as cluttered with an outdated aesthetic, particularly compared to newer visually-driven alternatives like monday.com or Asana.
  • Integration with external CRMs, ERPs, or time-tracking tools often requires expensive add-ons not included in base licensing.

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 ProjectManager objects map to Jira

Each row shows how a ProjectManager 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.

ProjectManager

Project

maps to

Jira

Project

1:1
Fully supported

ProjectManager Projects map directly to Jira Projects. We create the Jira project with the appropriate project type (Team-managed or Company-managed) during schema setup. The ProjectManager project name becomes the Jira project key prefix (up to 5 characters) and project name. Standard fields including start date, end date, status, and description transfer as project-level metadata.

ProjectManager

Task

maps to

Jira

Issue (Story, Task, Bug, or Epic)

1:many
Fully supported

ProjectManager Tasks map to Jira Issues with type decisions made at migration time based on task attributes. Top-level WBS tasks (no parent) become Jira Epics if they have children, Stories if they are deliverables, or Tasks if they are action items. Child tasks become Stories or Subtasks under the parent Epic or Story. We reconstruct the parent-child WBS using Jira issue links (Relates to, Blocks, is Blocked by) or Epic-Story hierarchy where the Epic link field is populated. Dependency chains from ProjectManager (Finish-to-Start, Start-to-Start, Finish-to-Finish, Start-to-Finish) migrate to Jira Issue Links with optional lag day preservation.

ProjectManager

TaskAssignee

maps to

Jira

Issue Assignee

1:1
Fully supported

ProjectManager TaskAssignees link Resources to Tasks and drive the workload view. We map assignee records to Jira issue Assignee fields by resolving the Resource email against Jira User accounts. ResourceTeam membership from ProjectManager maps to Jira Project Role membership after we create the corresponding project roles during schema setup.

ProjectManager

Resource

maps to

Jira

Jira User (Project Role member)

1:1
Fully supported

ProjectManager Resources represent team members and equipment. We map Resources to Jira User accounts by email lookup. Availability windows and cost rates from ProjectManager Resources do not have a direct Jira equivalent; availability windows are not migratable to Jira's sprint planning model, and cost rates are preserved in a custom field pm_resource_cost__c on the Jira User record if the customer requires cost tracking post-migration.

ProjectManager

ResourceTeam

maps to

Jira

Jira Project Role

lossy
Fully supported

ProjectManager ResourceTeams group Resources for scheduling and reporting. Jira has no direct scheduling-team object, so we create Jira Project Roles with the ResourceTeam name and populate membership by mapping ResourceTeam members to the role. Jira's project role model allows the same user to hold multiple roles across projects, which is the closest equivalent. Note that ProjectManager Teams (org membership, distinct from ResourceTeams) also map to Project Roles or Jira Groups based on the customer's preference during scoping.

ProjectManager

ProjectFields

maps to

Jira

Jira Custom Fields

lossy
Mapping required

ProjectManager ProjectFields (custom properties scoped to Workspace) map to Jira custom fields scoped to the destination Project. Field types (string, number, date, choice) map to equivalent Jira field types. Jira requires custom fields to be created via POST to the issue metadata API before values can be written, matching ProjectManager's two-step pattern. We discover existing ProjectField definitions via ProjectManager's GET /api/data/projects/fields, create the equivalent Jira custom fields via Jira's REST API, then write values in a separate pass.

ProjectManager

TaskFields

maps to

Jira

Jira Custom Fields (scoped to Issue)

lossy
Mapping required

ProjectManager TaskFields work identically to ProjectFields but are scoped to Tasks. We handle both field definitions and per-record values using the same two-step API process: discover via GET /api/data/projects/{projectId}/fields, create via Jira POST /rest/api/3/field, then write values via PUT /rest/api/3/issue/{issueId}. Not all TaskField types have native Jira equivalents; choice fields map to Jira Select (single) or Multi-Select; date fields map to Jira Date Picker; string and number fields map directly.

ProjectManager

Risk

maps to

Jira

Issue (type: Risk or Task)

1:1
Fully supported

ProjectManager Risks are standalone objects linked to Projects with severity, status, and linked ProjectId. Jira does not have a native Risk object, so Risks map to Jira Issues of type Task or a custom Issue Type named Risk (if the customer creates it). We preserve severity and status in custom fields (pm_risk_severity__c, pm_risk_status__c) and attach any RiskFiles as Jira issue attachments.

ProjectManager

Timesheet

maps to

Jira

Worklog entries on Issue

1:1
Fully supported

ProjectManager Timesheets record hours logged by Resources against Tasks. Jira's native worklog stores time only without billing rate. Timesheet records may embed platform-specific billing rates that do not map directly to ProjectManager's Resource cost model. We flag Timesheet data during discovery and migrate hours as Jira Worklog entries with the original timestamp preserved. Billing rate reconciliation is a separate decision point: the customer can migrate hours only and set rates manually in the destination tool, or attempt to reconcile rates in a custom field on the Jira User record.

ProjectManager

Tag

maps to

Jira

Jira Label

1:1
Fully supported

ProjectManager Tags and TaskTags are lightweight labeling objects. We preserve tag names and associations as Jira Labels on the mapped Issues. Labels in Jira are plain text strings without separate schema definitions, making the mapping straightforward.

ProjectManager

UserRoles

maps to

Jira

Jira Project Roles or Groups

lossy
Mapping required

ProjectManager UserRoles define Workspace-level permissions. Role definitions are proprietary to ProjectManager. We map source permission profiles to the closest matching Jira built-in roles (Administrators, Developers, Users) or to a custom Project Role we create during schema setup. Custom role definitions in ProjectManager that have no Jira equivalent are flagged in the scope document with a recommendation for Jira permission scheme configuration.

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.

ProjectManager logo

ProjectManager gotchas

Medium

Custom field migration requires two-step API process

Medium

Dynamic scheduling recalculates dates during import

Low

Historical timesheet billing rates vary by source

Low

ResourceTeam vs Teams object distinction

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

  • Custom field schema must be created before values are written

    Both ProjectManager and Jira require a two-step API process for custom fields: create the field definition first, then write values in a separate request. ProjectManager uses POST to create ProjectFields and TaskFields before PUT to set values. Jira uses POST to /rest/api/3/field to create custom fields before issue values can be written. Skipping the schema creation step in either platform results in silent field-value loss. We implement this as a sequenced pipeline for both source extraction and destination write to prevent orphaned data.

  • Dynamic scheduling engine can overwrite dates during import

    ProjectManager's dynamic scheduling engine automatically cascades date changes when task dependencies shift. Importing tasks out of topological order can trigger a cascade that overwrites manually-set dates with computed ones. We sequence task imports to respect dependency order and lock dates where the source explicitly set them by setting the Jira issue Due Date and Start Date fields as part of the initial issue create payload, before any dependency links are established.

  • Jira custom workflows do not migrate automatically

    Jira's workflow model (transition validators, post-functions, conditions) is defined per-project with workflow schemes attached to issue types. Jira-to-Jira migrations (Server to Cloud) can use the Jira Cloud Migration Assistant, but cross-platform migrations require manual reconstruction. ProjectManager workflows similarly do not map to Jira automation rules. We do not migrate workflows as code. We deliver a written inventory of every ProjectManager workflow trigger, condition, and action for the customer's admin to rebuild in Jira Automation or Project Configurator.

  • ResourceTeam and Teams objects are separate in ProjectManager

    ProjectManager has two distinct objects: ResourceTeams (for scheduling grouping and workload views) and Teams (for organizational membership). These are often conflated during scoping but drive different reporting outcomes. We map both independently. ResourceTeams map to Jira Project Roles for scheduling visibility; Teams map to Jira Groups for access control. We verify with the customer during discovery which grouping drives their workload reporting so the correct Jira project role or group is populated.

  • Timesheet billing rates have no native Jira equivalent

    Timesheet records in ProjectManager may embed Resource-specific billing rates that are part of the cost tracking model. Jira Worklog stores time spent only, without a billing rate field. We flag Timesheet data during discovery and give the customer the choice to migrate hours only (as Jira worklogs) or to store the original billing rate in a custom field on the Jira User record. Attempting to reconcile rates automatically without customer input risks incorrect cost data post-migration.

Migration approach

Six steps for a successful ProjectManager to Jira data migration

  1. Discovery and workspace audit

    We audit the source ProjectManager account across Workspaces, Projects, Tasks (with WBS depth and dependency counts), Resources, ResourceTeams, Teams, Risks, Timesheets, ProjectFields, TaskFields, and any active workflows or automation rules. We map the Workspace-to-Jira-Project structure based on the customer's team topology. The discovery output is a written migration scope document with record counts per object, custom field schema inventory, and a ResourceTeam-to-ProjectRole mapping plan.

  2. Jira project and schema provisioning

    We create the Jira destination project (Team-managed or Company-managed based on the customer's configuration preference) and provision the custom field schema. This includes creating all Jira custom fields via POST to /rest/api/3/field before any issue data is written. We create Project Roles matching the ResourceTeam names from ProjectManager and configure the project's default permission scheme. For Company-managed projects, we also configure the relevant workflow scheme and issue type scheme before migration begins.

  3. Topological task sequencing and date locking

    We extract the full dependency graph from ProjectManager and compute a topological ordering of all Tasks. Tasks with no dependencies are imported first; tasks with dependencies are imported only after their predecessors are confirmed in Jira. We capture the source Task start and end dates and write them to Jira issue fields during the initial create payload, before any issue links are established, to prevent ProjectManager-style date cascades from overwriting manually-set dates.

  4. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox or test environment using production-like data volume. The customer's project manager or Jira admin reconciles record counts (Projects in, Issues in, issue type distribution, attachment count), spot-checks 25-50 randomly selected issues against the ProjectManager source, and validates that custom field values are populated correctly. Sign-off on the sandbox migration is required before production migration begins.

  5. Resource and assignee mapping

    We extract every distinct Resource from ProjectManager and match by email against Jira User accounts. Jira Users must exist in the destination instance before issues can be assigned. ResourceTeam memberships are mapped to the Jira Project Roles created during schema provisioning. Any ProjectManager Resource without a matching Jira User goes to a reconciliation queue for the customer's admin to provision before record import resumes.

  6. Production migration in dependency order

    We run production migration in record-dependency order: Jira Users (validated), Jira Projects (from ProjectManager Workspaces), Issues (Tasks and parent-child WBS reconstructed with Epic-Story hierarchy and issue links), TaskAssignees (Assignee and Project Role membership), Risks (as Jira Issues with custom severity and status fields), Tags (as Jira Labels), Timesheets (as Jira Worklogs with hours and timestamps only), and Custom Fields (with values written in the same pass or a follow-on pass depending on Jira's field creation timing). Each phase emits a row-count reconciliation report before the next phase begins.

  7. Cutover, validation, and automation rebuild handoff

    We freeze ProjectManager writes during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the workflow and automation inventory document to the customer's Jira admin. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild ProjectManager workflows as Jira Automation rules inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

ProjectManager logo

ProjectManager

Source

Strengths

  • Real-time portfolio dashboard aggregating time, cost, and workload across all projects simultaneously.
  • Dynamic scheduling engine that cascades date changes through task dependencies automatically.
  • Automated time and cost tracking features built directly into the platform without requiring add-ons.
  • Color-coded resource workload views that highlight overloaded assignees across the portfolio.
  • Enterprise security with SAML SSO and MFA, suitable for regulated industry deployments.

Weaknesses

  • Mobile app is a significantly reduced feature set compared to the full desktop interface.
  • Steep learning curve for new users with no built-in guided onboarding or walkthroughs.
  • Report customizations and forecasting capabilities are limited, requiring external BI tools for deeper analysis.
  • Interface is described as cluttered with an outdated visual design compared to newer competitors.
  • Integration add-ons for CRM, ERP, and external time-tracking are priced separately from base licensing.
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 ProjectManager 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

    ProjectManager: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ProjectManager 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 ProjectManager to Jira data migrations

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

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Most migrations land between three and five weeks for accounts under 3,000 tasks with clean dependency graphs and a single Workspace. Migrations with large custom field schemas, multi-level WBS structures, historical timesheet data requiring billing rate reconciliation, or multiple Workspaces mapping to multiple Jira projects move to six to ten weeks because of topological sequencing, custom field creation sequencing, and ResourceTeam-to-project-role mapping. Jira projects with over 10,000 issues and complex workflow schemes require additional staging and validation time.

Adjacent paths

Related migrations to explore

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