Project Management migration
Field-level mapping, validation, and rollback between Planview AgilePlace and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Planview AgilePlace
Source
Jira
Destination
Compatibility
8 of 11
objects map 1:1 between Planview AgilePlace and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
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.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
Jira
Project
1:1Each 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
Jira
Status Column
lossyAgilePlace 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
Jira
Issue
1:1AgilePlace 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
Jira
Issue Type
lossyAgilePlace 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
Jira
Custom Field
1:1AgilePlace 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
Jira
Issue Link (blocks/blocked by)
1:1Parent-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
Jira
Comment
1:1Card 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)
Jira
Sub-task Issue
1:1AgilePlace 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
Jira
Label
lossyAgilePlace 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
Jira
User / Assignee
1:1Card 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
Jira
Attachment
1:1File 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.
| Planview AgilePlace | Jira | Compatibility | |
|---|---|---|---|
| Board | Project1:1 | Fully supported | |
| Lane | Status Columnlossy | Fully supported | |
| Card | Issue1:1 | Fully supported | |
| Card Type | Issue Typelossy | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Card Dependency | Issue Link (blocks/blocked by)1:1 | Fully supported | |
| Comment | Comment1:1 | Fully supported | |
| Task (Sub-task) | Sub-task Issue1:1 | Fully supported | |
| Tag | Labellossy | Fully supported | |
| User / Card Assignee | User / Assignee1:1 | Fully supported | |
| Card Attachment | Attachment1:1 | Fully supported |
Gotchas + challenges
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 gotchas
Card Automation cannot mirror or copy cards between boards natively
Custom field permissions are role-gated, not globally editable
Relations Summary fields can display ERROR for large record sets
Reporting API is tier-gated to Advanced and Enterprise editions
Portfolios integration requires Planview Hub as a separate license
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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.
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).
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
Planview AgilePlace
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Planview AgilePlace and Jira.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Planview AgilePlace: Not publicly documented on the public-facing API page.
Data volume sensitivity
Planview AgilePlace doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Planview AgilePlace to Jira migration scoping. Not seeing yours? Book a call.
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