Project Management migration

Migrate from Planview AgilePlace to Jira

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

Planview AgilePlace logo

Planview AgilePlace

Source

Jira

Destination

Jira logo

Compatibility

73%

8 of 11

objects map 1:1 between Planview AgilePlace and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Planview AgilePlace organizes work on Kanban boards with Lanes and Swimlanes and a card-based hierarchy; Jira uses Projects with an Epic-Story-Task-Bug issue type hierarchy and column-based workflow statuses. These structural differences mean the migration requires a deliberate lane-to-status mapping decision upfront, a parent-child card dependency resolution pass after all issues are loaded, and explicit handling of AgilePlace Card Types versus Jira Issue Types. We preserve card created and moved timestamps so historical cycle-time metrics remain valid post-migration. AgilePlace Custom Fields are board-scoped and role-gated for writes; Jira custom fields are project-scoped, so we must configure the destination project schema before any issue import begins. Automations scoped to a single AgilePlace board do not migrate; we deliver a written inventory of each cross-board and lane-based automation for the customer's admin to rebuild in Jira Automation or project configuration. WIP limits on AgilePlace Lanes map to Jira column WIP settings or a custom field depending on the destination project's board configuration.

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 AgilePlace logo

Planview AgilePlace

What's pushing teams away

  • The interface and visual design feel dated compared to modern alternatives, with users noting that newer competitors offer a more contemporary experience for day-to-day team members.
  • Kanban-only view limits adoption for teams that need Gantt charts, calendar views, or structured task lists — organizations with mixed methodology needs often must supplement AgilePlace with another tool.
  • Reporting requires the Advanced or Enterprise tier via a separate Reporting API, adding cost for organizations that need cross-board analytics rather than board-local charts.
  • Performance degrades when organizations run large numbers of boards or high card volumes, with community posts and reviews noting sluggish load times under heavy data conditions.
  • Portfolios integration depends on Planview Hub, a separate licensed product, meaning portfolio-level visibility is not included in AgilePlace pricing and adds a second procurement conversation.

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 AgilePlace objects map to Jira

Each row shows how a Planview AgilePlace 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 AgilePlace

Board

maps to

Jira

Project

1:1
Fully supported

Each AgilePlace Board maps to a Jira Project. The AgilePlace board name becomes the Jira Project name and key. We set the project type to company-managed (for WIP column limits) or team-managed (for simplified setup) during scoping based on the customer's governance model. Lane structure is preserved separately for column mapping rather than becoming project names, because AgilePlace boards are the top-level container and Jira Projects do not have lane semantics.

Planview AgilePlace

Lane

maps to

Jira

Status Column

lossy
Fully supported

AgilePlace Lanes map to Jira Status columns on the board. If the board uses a flat lane structure (e.g., Backlog, In Progress, Done), we map each lane to the corresponding Jira status category (To Do, In Progress, Done). If the board uses Swimlanes (e.g., rows for team, columns for stage), we map the row orientation to a custom field (Team or Squad) and the column orientation to Jira Status, reconstructing the swimlane matrix in Jira as a filtered board view rather than native swimlane support. The customer selects the mapping during discovery. WIP limits on lanes are flagged as Jira column WIP constraints (company-managed projects) or stored in a custom field (team-managed projects).

Planview AgilePlace

Card

maps to

Jira

Issue

1:1
Fully supported

AgilePlace Cards map to Jira Issues. Card title becomes Issue Summary. Card description (rich text) migrates to Issue Description. Priority maps from AgilePlace Priority (Critical, High, Medium, Low) to Jira Priority (Highest, High, Medium, Low, Lowest). Card type (e.g., Feature, Bug, Spike) maps to Jira Issue Type (Story, Bug, Task) via the mapping table defined during scoping. Created and moved timestamps are preserved as Issue Created and a custom field card_moved_date__c for cycle-time calculations. Card due date maps to Jira Due Date.

Planview AgilePlace

Card Type

maps to

Jira

Issue Type

lossy
Fully supported

AgilePlace Card Types are board-level taxonomy definitions. We create a mapping table during discovery that assigns each AgilePlace Card Type to a Jira Issue Type (Epic, Story, Task, Bug, Sub-task) or to Labels if the board uses a flat type model. If Jira Issue Types are insufficient, we create custom Issue Types during schema configuration. The mapping is applied during issue creation so that every imported card receives the correct type assignment from the first import pass.

Planview AgilePlace

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

AgilePlace Custom Fields are board-level definitions that map to Jira Custom Fields at the project level. We export the custom field definition (name, type, allowed values for picklists) during discovery and pre-create the corresponding Jira custom field before any issues are loaded. AgilePlace role-gated custom fields (where a user without project-level write access cannot edit) require Jira field-level security configuration post-import; we apply the same permission model in Jira so that write restrictions carry over. Standard AgilePlace fields (Card ID, Created By, Assigned To) have direct Jira equivalents.

Planview AgilePlace

Card Dependency

maps to

Jira

Issue Link (blocks/blocked by)

1:1
Fully supported

Parent-child card links in AgilePlace are stored as a separate API relationship. We export all card dependencies as a dependency table during the first extraction pass and recreate them in Jira after all issues are loaded. We use Jira Issue Links (type: blocks or blocked by) to represent the relationship, matching by the temporary Jira issue key assigned during import. If the AgilePlace dependency graph has multi-level parent-child chains, we flatten them to single-level Jira issue links and note the chain depth in a custom field dependency_depth__c.

Planview AgilePlace

Comment

maps to

Jira

Comment

1:1
Fully supported

Card comments migrate as Jira Issue Comments. Author attribution is preserved via email-to-Jira-user matching. If no matching Jira user exists for the comment author, we set the comment author to the migration service account and note the original author in the comment body. Comment body content (rich text) migrates as-is with HTML preserved. Comment timestamps are preserved as Jira comment creation timestamps.

Planview AgilePlace

Task (Sub-task)

maps to

Jira

Sub-task Issue

1:1
Fully supported

AgilePlace Tasks (child items within a Card) map to Jira Sub-task issues linked to the parent Issue. Task title becomes Sub-task Summary. Task completion status (Complete/Incomplete) maps to Jira Sub-task Status (Done/To Do). Assignee maps via email matching. If Jira sub-tasks are not enabled on the destination project, we promote sub-tasks to Tasks and add a custom field parent_card_id__c to preserve the hierarchy reference.

Planview AgilePlace

Tag

maps to

Jira

Label

lossy
Fully supported

AgilePlace Tags (flat string labels on cards) map to Jira Labels. We migrate the full tag string and create matching Jira Labels during import. If the customer uses more than 200 distinct tags, we recommend a custom Label prefix strategy or a multi-select custom field to avoid Jira label namespace pollution. Jira Labels are case-insensitive and lowercase; we normalize AgilePlace tag casing during import.

Planview AgilePlace

User / Card Assignee

maps to

Jira

User / Assignee

1:1
Fully supported

Card assignees are resolved by email match to Jira User accounts. Inactive or archived AgilePlace users without a Jira match are flagged in the reconciliation report. The customer admin provisions any missing Jira users before the assignee pass runs. Unmatched assignees are stored in a custom field original_assignee__c for manual assignment post-migration.

Planview AgilePlace

Card Attachment

maps to

Jira

Attachment

1:1
Fully supported

File attachments on AgilePlace cards are downloaded during extraction and re-uploaded to Jira Issues as attachments during import. Attachment file names and content are preserved. Large attachment volumes (over 500 files) increase migration duration significantly and require storage capacity planning; we flag this during scoping and advise on Jira attachment storage limits per plan tier.

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 AgilePlace logo

Planview AgilePlace gotchas

Medium

Card Automation cannot mirror or copy cards between boards natively

Medium

Custom field permissions are role-gated, not globally editable

Low

Relations Summary fields can display ERROR for large record sets

High

Reporting API is tier-gated to Advanced and Enterprise editions

Medium

Portfolios integration requires Planview Hub as a separate license

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

  • AgilePlace Swimlanes do not map natively to Jira

    AgilePlace boards with Swimlane rows (e.g., Team as rows, Stage as columns) do not have a direct Jira equivalent. Jira Kanban boards support column WIP limits but not row-level swimlanes. We map the row dimension to a custom field (e.g., Team or Squad) and the column dimension to Jira Status, creating a filtered board view that approximates the swimlane experience. Customers who rely on swimlanes for team-level WIP visibility must accept this flattening or use Jira Automation to enforce per-team WIP counts post-migration. We document the recommended view configuration during the approach handoff.

  • Custom field write permissions are role-gated in AgilePlace and must be reconfigured in Jira

    AgilePlace restricts custom field edits to users with project-level write access. A user without project-level permission cannot edit a custom field even if it appears on every card. Jira's field-level security works differently: fields are visible to all project members unless explicitly restricted, and write permission derives from the project's permission scheme. We detect permission-sensitive custom fields during discovery and configure equivalent Jira field-level security during schema setup. Skipping this step means all migrating users get write access to all custom fields in Jira, which may violate the customer's data governance policy for fields like Budget or Cost.

  • Card Dependencies require a second import pass after all issues exist

    AgilePlace parent-child card links are stored as a separate API relationship, not embedded in the card object. If we attempt to create Jira issue links during the card import pass, the parent issue may not yet exist, causing link creation to fail silently. We export all card dependencies as a standalone table during the first extraction pass and recreate them after all issues are loaded. For multi-level dependency chains (grandparent > parent > child), we flatten to single-level Jira issue links. Migrations that skip this two-pass approach end up with missing dependency links and broken upstream-downstream traceability.

  • Card Automation does not migrate and has no Jira equivalent

    AgilePlace Card Automation rules (e.g., move card to Done when all tasks are complete, auto-assign based on lane entry) are scoped to a single board and cannot be exported or mirrored via API. Jira Automation for Jira Cloud (or Jira Suite for Data Center) provides a similar trigger-action model, but the rule logic must be rebuilt. We identify every active Card Automation during discovery and deliver a written inventory with recommended Jira Automation equivalents. We do not build the Jira automation rules as part of standard migration scope; that is a separate configuration pass or an internal admin task.

  • Advanced Reporting API requires Scaled Teams tier; bulk extraction adjusts by tier

    Cross-board data extraction via AgilePlace's Advanced Reporting API is gated to the Scaled Teams tier ($29/user/month). Customers on the Teams tier must use per-board REST API pagination for extraction, which is slower for organizations with many boards. We determine the active tier during discovery and adjust the extraction strategy accordingly. This does not affect data completeness, only extraction speed and the number of API calls required.

Migration approach

Six steps for a successful Planview AgilePlace to Jira data migration

  1. Discovery and tier audit

    We audit the source AgilePlace instance: active board count, lane structure (flat lanes vs swimlanes), card volume per board, Card Type taxonomy, Custom Field definitions (name, type, role-gating), Card Dependency graph depth, comment and attachment volume, and active Card Automation rules. We determine the AgilePlace tier (Teams or Scaled Teams) from the API response headers to adjust extraction strategy. We pair this with a Jira destination audit: existing projects, Issue Type schemes, Status configurations, Custom Field definitions, and permission scheme. The discovery output is a written migration scope with board-to-project mapping, lane-to-status mapping table, Card Type-to-Issue Type mapping, and custom field schema for Jira.

  2. Jira schema configuration

    We configure the destination Jira project before any data loads. This includes creating Custom Fields matching AgilePlace's field definitions (with equivalent types: text, number, date, picklist), configuring Issue Type scheme to match the Card Type taxonomy, setting up Status columns (mapped from AgilePlace Lanes), enabling sub-tasks if AgilePlace Tasks are used, and applying field-level security for permission-sensitive fields. Jira project type (company-managed vs team-managed) is selected based on whether the customer needs column WIP limits. Schema is configured in a Jira Sandbox or dev project first for validation before production migration.

  3. User reconciliation

    We extract every distinct AgilePlace user (card creator, assignee, commenter) and match by email against the destination Jira project's user directory. Any AgilePlace user without a matching Jira account is logged in the reconciliation report. The customer's Jira admin provisions missing accounts before the issue import pass begins. This step is a prerequisite for assignee resolution, comment authorship preservation, and subtask assignment.

  4. Card and metadata extraction

    We extract card data from AgilePlace using the REST API with per-board pagination (or the Advanced Reporting API if on Scaled Teams tier). Card data includes title, description, type, priority, due date, created/modified timestamps, moved timestamps (for cycle-time), board position, lane assignment, and custom field values. Custom field definitions are extracted alongside card data to ensure correct type mapping during Jira import. Card attachment URLs are collected for download in a separate pass.

  5. Issue import in dependency order

    We import issues into Jira in phases: Project and configuration setup, then card import with Card Type-to-Issue Type mapping and lane-to-status assignment, then attachments, then comments. Each phase emits a row-count reconciliation report. Card Dependencies are NOT imported during this phase; they are held in the dependency table extracted in step 4. WIP limit values from AgilePlace Lanes are stored as custom fields or Jira column WIP constraints depending on project type.

  6. Dependency recreation pass

    After all issues are loaded, we run the Card Dependency recreation pass. We iterate the dependency table extracted in step 4, resolve each parent AgilePlace Card ID to its Jira Issue key, and create Jira Issue Links (blocks/blocked by) between the matched issue pairs. Multi-level chains are flattened to single-level links. The dependency pass emits a reconciliation report listing any parent issues that could not be matched (e.g., if a parent card was on a board excluded from migration scope).

  7. Validation, cutover, and automation handoff

    We run a validation pass comparing Jira issue counts, custom field population rates, attachment counts, and comment counts against the source AgilePlace data. The customer's project lead spot-checks 25-50 records for accuracy. We freeze AgilePlace writes during cutover, run a delta migration of any records modified during the window, then enable Jira as the system of record. We deliver the Card Automation inventory document for the customer's admin to rebuild in Jira Automation. We support a five-business-day hypercare window for reconciliation issues and do not rebuild AgilePlace automations as Jira automation rules inside standard migration scope.

Platform deep dives

Context on both ends of the pair

Planview AgilePlace logo

Planview AgilePlace

Source

Strengths

  • Unlimited boards on all paid tiers removes licensing friction for large agile organizations expanding across teams.
  • Visible WIP limits and lane-based workflow visualization help teams enforce pull-based delivery and identify bottlenecks early.
  • Multi-board rollup reporting available via Advanced Reporting API enables portfolio-level analytics across teams.
  • Strong ecosystem integrations with Jira, GitHub, and CI/CD tools reduce context-switching for engineering teams.
  • Hierarchical structure from boards down to cards, tasks, and comments maps cleanly to most destination PM tools.

Weaknesses

  • Reporting requires a paid upgrade tier; board-local charts only unless you purchase Advanced or Enterprise edition.
  • Portfolio-level planning depends on a separate Planview Hub license, adding procurement complexity for organizations needing strategic alignment.
  • Kanban-only view means teams requiring Gantt or calendar views must use a second tool for those work styles.
  • User management and permissions are hierarchical and can be confusing for large organizations with many nested project roles.
  • Community posts document recurring issues with Relations Summary custom fields displaying ERROR states, suggesting data reliability concerns for custom field-heavy migrations.
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 AgilePlace 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 AgilePlace: Not publicly documented on the public-facing API page.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Planview AgilePlace 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 AgilePlace to Jira data migrations

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

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Migrations under 5,000 cards with a flat lane structure and no cross-board dependencies complete in three to five weeks. Migrations with Swimlane hierarchies, more than 15,000 cards, or multiple AgilePlace boards mapping to separate Jira projects require eight to twelve weeks because of the multi-pass dependency resolution, lane-to-status mapping validation, and Jira schema configuration scope. Jira Cloud Migration Assistant is not used for this migration because it handles Jira-to-Jira scenarios; we use AgilePlace's REST API for extraction and Jira's REST API for import.

Adjacent paths

Related migrations to explore

Ready when you are

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