Project Management migration

Migrate from Planview AdaptiveWork to Jira

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

Planview AdaptiveWork logo

Planview AdaptiveWork

Source

Jira

Destination

Jira logo

Compatibility

67%

8 of 12

objects map 1:1 between Planview AdaptiveWork and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Planview AdaptiveWork to Jira is a structural simplification for teams that have outgrown an enterprise PPM in favor of an Agile-first tool. Planview models work as a deep entity-relationship graph—Projects contain Tasks that can have grandchild Subtasks, and Milestones sit as date-driven entities that can attach to either. Jira uses a flat issue hierarchy: Projects contain Issues, Issues contain Subtasks, and Epics sit above Stories as a cross-project grouping layer. Milestones do not exist as a native Jira object; we map them to Fix Versions with a custom Milestone__c field carrying the original Planview identifier. Financial data (budgets, costs, revenue) has no direct Jira equivalent and migrates as a structured CSV for manual entry or a linked Confluence table. Resource capacity planning is platform-specific and does not migrate. We deliver a written inventory of all AdaptiveWork Workflow Rules and Validation Rules for the customer to rebuild in Jira automation or third-party tools. Document references stored via SharePoint or Box connectors require a parallel file migration track handled separately.

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

Planview AdaptiveWork logo

Planview AdaptiveWork

What's pushing teams away

  • The interface complexity creates a steep learning curve; new users and even experienced project managers report being overwhelmed during onboarding and requiring significant training investment.
  • Performance degrades with very large portfolios or high record counts, frustrating users managing enterprise-scale workloads and reducing day-to-day usability.
  • Reporting is considered basic compared to standalone BI tools; customers with advanced analytics requirements find the built-in dashboards insufficient and resort to exporting to Excel.
  • Limited third-party integrations create friction for organizations using best-of-breed stacks, particularly for CRM and communication tools outside the Planview ecosystem.
  • Some out-of-the-box features cannot be configured to exact requirements, forcing customers to find workarounds or accept imperfect alignment with their processes.

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 Planview AdaptiveWork objects map to Jira

Each row shows how a Planview AdaptiveWork 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.

Planview AdaptiveWork

Project

maps to

Jira

Project

1:1
Fully supported

Planview Projects map directly to Jira Projects. Each Planview Project becomes a Jira Project with the same name, description, and start/end dates preserved in custom fields. If the customer has multiple business-unit Projects, we create separate Jira Projects rather than a single portfolio Project, since Jira portfolios are a separate licensing layer (Jira Software Premium or Enterprise). The Planview project identifier is preserved in a custom field aw_project_id__c for cross-reference.

Planview AdaptiveWork

Task

maps to

Jira

Issue (Story or Task)

1:1
Fully supported

Planview Tasks map to Jira Issue records. Task name becomes Issue Summary; description migrates to Issue Description as rich text; status maps from Planview status to a Jira Status in the target project's workflow. Tasks that are direct children of the Project map as Jira Stories or Tasks based on the Planview Task Type field. We resolve the parent-child hierarchy using Jira Subtasks where the original nesting was two levels deep (Task with Subtask). Grandchild Tasks (three levels) require flattening since Jira does not support deeper nesting without Subtasks enabled per project type.

Planview AdaptiveWork

Subtask

maps to

Jira

Subtask

1:1
Fully supported

Planview Subtasks map to Jira Subtask issues. Jira Subtask must be enabled in the target project's issue type scheme before import. We link each Subtask to its parent Issue using the Jira Parent Link field (parent key). If the Planview entity relationship has Subtasks nested under Subtasks, we flatten the lowest level to a flat Subtask of the top-level parent Issue.

Planview AdaptiveWork

Milestone

maps to

Jira

Fix Version

1:many
Fully supported

Planview Milestones do not have a native Jira equivalent. We map Milestones to Jira Fix Versions (releases) within each Project. The Milestone name becomes the Fix Version name, and the Milestone due date becomes the Fix Version release date. We preserve the original Planview Milestone ID in a custom field aw_milestone_id__c. If multiple Planview Milestones share the same target date within a Project, they merge into a single Fix Version with a comma-separated aw_milestone_ids__c custom field carrying all source IDs.

Planview AdaptiveWork

User

maps to

Jira

User

1:1
Fully supported

Planview Users map to Jira Users by email match. We extract every User referenced in Task assignments and resource allocations, then reconcile against the Jira destination site. Any Planview User without a matching Jira account goes to a reconciliation queue for the customer's admin to provision before the assignment phase begins. Inactive Jira users can be assigned if the project permissions allow it.

Planview AdaptiveWork

Dependency

maps to

Jira

Issue Link (Blocks / Is Blocked By)

1:1
Fully supported

Planview predecessor/successor task dependencies map to Jira Issue Links. A Planview predecessor-successor relationship becomes a Blocks/Is Blocked By link in Jira. We resolve the Jira Issue key for both ends of the link during the transformation phase before inserting the links. Circular dependency chains (A blocks B, B blocks A) are flagged and broken by removing the secondary link during migration, with the cycle reported in the migration summary.

Planview AdaptiveWork

Time Entry

maps to

Jira

Worklog (custom field on Issue)

1:1
Fully supported

Planview Time Entries map to Jira Issue Worklog records. We migrate hours logged, the date worked, and the billing flag (if applicable) against the parent Task. Jira Worklog is native; no custom field is required. However, Jira Worklog does not store billing amounts—financial data from Planview Time Entries (hourly rate, cost, billing amount) is preserved in a separate structured CSV exported alongside the migration for manual entry into Jira-compatible billing apps (Tempo Timesheets, etc.).

Planview AdaptiveWork

Custom Field (picklist)

maps to

Jira

Custom Field (single-select or multi-select)

1:1
Fully supported

Planview picklist custom fields map to Jira custom fields of type Select List (single) or Multi-select List (radio button for Jira's equivalent). We preserve the picklist option values as Jira field options. Note that Planview picklist fields render on card views while free-text fields do not—a rendering difference that does not affect data migration but is documented for post-migration admin review.

Planview AdaptiveWork

Custom Field (free-text)

maps to

Jira

Custom Field (text field)

1:1
Fully supported

Planview free-text custom fields map to Jira Text Field (single line) or Text Area (multi-line) depending on the expected content length. We do not attempt to map free-text data to structured Jira fields; the raw value transfers as-is. Jira does not enforce picklist restrictions on text fields, so validation rules that existed in Planview do not carry forward.

Planview AdaptiveWork

Financial (budget, cost, revenue)

maps to

Jira

Custom Fields + CSV Export

lossy
Fully supported

Planview Project-level financial data (budget amounts, actual costs, revenue) has no native Jira equivalent. We migrate these values to Jira Project-level custom fields (Number type) and also produce a structured CSV export of all financial line items keyed by the Planview Project ID and Jira Project key for manual reconciliation or a supplemental Confluence table. Currency handling is preserved as the original currency code in a custom field; Jira does not perform currency conversion.

Planview AdaptiveWork

Resource Capacity

maps to

Jira

CSV Export (for manual entry)

lossy
Mapping required

Planview resource capacity planning uses user working calendars, skills, and availability calculations that are platform-specific algorithms. The underlying allocation data (which User is assigned to which Task with what percentage) migrates as Jira Issue Assignee plus a custom field aw_allocation_pct__c. The capacity heatmap, workload distribution, and calendar-based availability calculations do not migrate; we deliver a capacity planning CSV with User, Project, Task, and allocation percentage for the customer to re-enter in a Jira-compatible capacity tool (Tempo, Capacity, Structure).

Planview AdaptiveWork

Customer

maps to

Jira

Labels + CSV Export

lossy
Fully supported

Planview's Customer module links Projects to external client organizations. Jira does not have a native customer or account entity. We map Customer records to Jira Project Labels (prefixed with customer_) and produce a Customer-to-Jira-Project mapping CSV. If the customer also has a CRM (Salesforce, HubSpot), we recommend linking the Jira Project to the CRM Account via a custom field rather than duplicating the customer record in Jira.

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.

Planview AdaptiveWork logo

Planview AdaptiveWork gotchas

Medium

Picklist custom fields render on cards, free-text fields do not

Medium

Validation Rules and Workflow Rules do not fire on the mobile app

Low

Mobile app limitations create split data-entry behavior post-migration

Medium

Document management requires dual-track migration via SharePoint or Box

High

Custom Objects gated behind Business and Enterprise plan tiers

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

  • Milestones have no native Jira equivalent

    Planview Milestones are first-class entities with dates, dependency chains, and project attachments. Jira has no Milestone object. We map Milestones to Fix Versions (releases) with a custom aw_milestone_id__c field, but Fix Versions do not support predecessor/successor dependency chains. If the customer's Planview implementation uses milestone-to-milestone dependencies to enforce gate logic (e.g., Milestone B cannot close until Milestone A closes), those dependency chains are broken in Jira and must be rebuilt as automation rules or manual process controls. We document every dependency chain during scoping so the customer is aware of what breaks before migration begins.

  • Financial data does not migrate to Jira native fields

    Planview tracks budget, costs, and revenue at the Project level with approval workflows. Jira has no native financial fields. We migrate financial data as Jira Project custom fields (Number type) and a supplemental CSV, but Jira does not enforce budget gates, approval workflows, or billing status transitions. Teams that rely on Planview financial management for professional services billing, project accounting, or budget-vs-actual reporting must adopt a separate tool (Tempo for billing, eazyBI for financial reporting, or a linked ERP integration) post-migration. We do not migrate approval workflows.

  • Document files require a separate file migration track

    Planview AdaptiveWork links documents through SharePoint or Box connectors. The document references (URLs and share paths) can be exported, but the actual file content must be transferred through the source document system. Jira attachments have a 10MB limit on free plans and 250MB on Premium; large files may not fit Jira's native attachment storage. We split the migration into a records track (handled by FlitStack AI) and a files track (handled by a separate SharePoint or Box migration step). The files track is flagged explicitly in the migration plan with file count and total size estimates.

  • Validation Rules and Workflow Rules do not migrate

    Planview AdaptiveWork enforces Validation Rules and Workflow Rules on the web application but not on the mobile app—a known limitation in Planview itself. These rules are custom configurations with no direct Jira equivalent. Jira automation rules and Validation Rules are a different rule engine model. We document every active Validation Rule and Workflow Rule during scoping with its trigger, conditions, and actions, and deliver a written inventory recommending Jira automation equivalents (Automation for Jira, ScriptRunner, or third-party rules). The customer admin or a Jira partner rebuilds the rules post-migration.

  • Grandchild task depth requires flattening

    Planview AdaptiveWork supports unlimited parent-child nesting; Tasks can be grandchildren of Projects through parent-child links. Jira supports Issues with Subtasks (one level deep) by default. If the source Planview instance has Tasks nested three or more levels below the Project, we flatten the deepest level to Subtasks of the top-level parent Issue during migration. We flag every instance of this flattening in the pre-migration scoping report so the customer can decide whether to restructure the hierarchy before migration or accept the flattened model.

Migration approach

Six steps for a successful Planview AdaptiveWork to Jira data migration

  1. Discovery and scoping

    We audit the Planview AdaptiveWork instance across plan tier (Professional/Business/Enterprise), entity counts (Projects, Tasks, Subtasks, Milestones, Users), custom field inventory (picklist and free-text), active Validation Rules and Workflow Rules, dependency chain complexity, financial data volume, and document reference count. We pair this with a Jira site assessment: project count, issue type scheme configuration, workflow availability, and whether Jira Premium or Standard is in use. The discovery output is a written migration scope, a Jira project and issue type scheme recommendation, and a pre-migration checklist for the customer (Jira user provisioning, Subtask enablement per project, custom field creation).

  2. Schema design and dependency mapping

    We design the Jira destination schema. This includes Jira Projects (one per Planview Project or consolidated per business unit), Issue Type Schemes (Story, Task, Bug, Subtask per project), Workflows (mapped from Planview task statuses to Jira statuses), Fix Versions (created per Planview Milestone with release dates), and custom fields (created for all Planview custom fields plus aw_project_id__c and aw_milestone_id__c for cross-reference). We map the dependency chains and identify any circular references that must be broken. Schema is deployed to the target Jira Sandbox or development environment first for validation.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox environment using production-like data volume. The customer's project manager and admin reconcile record counts (Projects in, Issues in, Subtasks in, Fix Versions in), spot-check 25-50 random issues against the Planview source for field-level accuracy, verify that dependency links resolve correctly, and confirm that Fix Version dates match the original Milestone dates. The customer signs off the sandbox migration before production migration begins.

  4. User provisioning and reconciliation

    We extract every distinct Planview User referenced in Task assignments and resource allocations and match by email against the Jira destination site. Users without a matching Jira account go to a reconciliation queue. The customer's Jira admin provisions any missing Jira users (active accounts are required for assignment; inactive accounts can be used if the project permissions allow it). Migration cannot proceed past the assignment phase because Jira requires a valid Assignee on every issue.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Projects (created first), Fix Versions (created per Milestone), Users (provisioned and validated), Custom Fields (created per entity), Issues (Stories and Tasks in parent-first order with parent keys assigned for Subtasks), Issue Links (Blocks/Is Blocked By after both ends exist), Worklogs (via Jira REST API after Issues exist), and financial data (custom fields plus supplemental CSV). Each phase emits a row-count reconciliation report before the next phase begins. Document references are exported as a separate file manifest for the customer's SharePoint/Box administrator.

  6. Cutover, validation, and rule rebuild handoff

    We freeze Planview AdaptiveWork writes during cutover and run a final delta migration of any records modified during the migration window. Jira becomes the system of record once validation passes. We deliver the Validation Rule and Workflow Rule inventory document to the customer's admin team with Jira automation equivalents. We do not rebuild Planview Workflow Rules as Jira automation inside the migration scope; that is a separate engagement or an internal admin task. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Planview AdaptiveWork logo

Planview AdaptiveWork

Source

Strengths

  • Supports Agile, Scrum, Kanban, and Waterfall methodologies in a single portfolio view
  • Highly configurable business rules and validation logic without custom code
  • Built-in financial management and time tracking for professional services organizations
  • Data Warehouse Export with native connectors to Redshift, S3, Box, and Azure Blob
  • Over 100 out-of-the-box reports and dashboards for portfolio visibility

Weaknesses

  • Steep learning curve overwhelms new users and increases initial training time
  • Performance degrades with very large portfolios and high record counts
  • Reporting capabilities are considered basic and insufficient for advanced analytics needs
  • Limited third-party integration ecosystem compared to best-of-breed alternatives
  • Complex interface with workarounds often required for out-of-box feature gaps
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 Planview AdaptiveWork 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

    Planview AdaptiveWork: Not publicly documented by Planview for AdaptiveWork; enterprise accounts receive elevated limits on request.

  • Data volume sensitivity

    A

    Planview AdaptiveWork exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Planview AdaptiveWork 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 Planview AdaptiveWork to Jira data migrations

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

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Migrations land between three and five weeks for straightforward scopes (under 3,000 Tasks, 50 Projects, no custom objects, no financial data). Migrations with custom objects, large dependency chains, financial line items requiring CSV export, or multi-project Jira destinations with separate projects per business unit move to eight to twelve weeks because of dependency resolution time, Fix Version configuration per project, financial data handoff documentation, and extended user acceptance testing.

Adjacent paths

Related migrations to explore

Ready when you are

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