Project Management migration
Field-level mapping, validation, and rollback between ProjectFlow and Jira. We move data and schema; workflows are rebuilt natively in Jira.
ProjectFlow
Source
Jira
Destination
Compatibility
5 of 12
objects map 1:1 between ProjectFlow and Jira.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from ProjectFlow to Jira is a CSV-first migration constrained by ProjectFlow's lack of a documented REST API. We request structured CSV exports of Projects, Tasks, Documents, and DailyReports directly from the customer during discovery, parse the rows into Jira project schema, and ingest via the Jira REST API with batch chunking and rate-limit handling. Projects map to Jira Projects, Tasks to Issues with Epic or Story issue types, Subtasks to Jira subtasks with nesting depth validated against Jira's three-level ceiling, Milestones to Fix Versions, and Documents to Jira attachments. DailyReports have no direct Jira equivalent — we map them to Issue comments with a custom reporter field preserving the original author and date. Workflow definitions export as zip files from ProjectFlow rather than structured data, so we deliver a written workflow inventory for the customer's admin to rebuild in Jira Automation. Multicompany Enterprise structures require user deduplication across cross-company records before Jira user matching by email.
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 ProjectFlow 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.
ProjectFlow
Project
Jira
Project
1:1ProjectFlow Projects map directly to Jira Projects. Each ProjectFlow project becomes a Jira project with its name, key (auto-generated from the first letters of the project name or customer-specified), description, lead (mapped via email to Jira User), and start/end dates preserved as project dates. Jira project type (Team-managed or Company-managed) is selected during scoping; Team-managed is the default for smaller migrations.
ProjectFlow
Task
Jira
Issue
1:1ProjectFlow Tasks map to Jira Issues (Story, Task, or Bug issue type selected during scoping based on the task's nature in ProjectFlow). The Jira issue is created with summary, description (rich text preserved), assignee (resolved by email match to Jira User), reporter, priority, status, due date, and original estimate fields mapped from the corresponding ProjectFlow task. Custom task fields from ProjectFlow are enumerated during discovery and recreated as Jira custom fields before migration.
ProjectFlow
Subtask
Jira
Subtask
lossyProjectFlow subtasks map to Jira subtasks under the parent Issue. Jira enforces a three-level hierarchy (Epic > Story/Task > Subtask). We validate subtask nesting depth during discovery and flatten any subtasks that exceed Jira's maximum depth by re-parenting them to the nearest supported ancestor. The re-parenting decision is documented and approved by the customer before migration begins.
ProjectFlow
Milestone
Jira
Fix Version
1:1ProjectFlow Milestones map to Jira Fix Versions with the milestone name, target release date, and description preserved. Fix Versions appear in the Versions panel of the Jira project and are used to filter and group issues by release. If a ProjectFlow milestone has no date, we create an Unreleased version in Jira and flag it for the admin to populate.
ProjectFlow
Document
Jira
Attachment
1:1ProjectFlow documents linked to tasks migrate as Jira file attachments on the corresponding Issue. We extract the document metadata (filename, file type, size, upload date) from the CSV export and request that the customer provides the actual file references or storage paths so that FlitStack AI can upload them to Jira. DocumentFolders are preserved as a flat parent-child reference table and optionally mapped to a Confluence space if the customer has a Confluence instance.
ProjectFlow
DocumentFolder
Jira
Folder (Confluence or Jira project directory)
lossyProjectFlow DocumentFolders establish a hierarchical structure for documents within a project. Jira does not have a native folder concept for issue attachments. We map the folder hierarchy to a documented folder path reference table and optionally recreate the structure in a Confluence space if the customer's scope includes Confluence migration. The mapping document notes which documents belong to which folder so the admin can organize them in Jira or Confluence post-migration.
ProjectFlow
DailyReport
Jira
Issue Comment + Custom Field
1:manyProjectFlow DailyReports (construction-industry-specific with author, date, and narrative) have no direct Jira equivalent. We map each DailyReport to a Jira Issue Comment on the relevant project task, with the comment body preserving the daily narrative. We create custom fields daily_report_author__c and daily_report_date__c on the Issue to carry the structured DailyReport metadata. Any construction-specific fields (weather conditions, labour counts, site notes) are flagged as unmapped and listed in the migration inventory for the admin to recreate as custom fields in Jira if needed.
ProjectFlow
GanttChart
Jira
Fix Version + Issue Dates + Dependencies
lossyProjectFlow GanttChart data — task bars, start/end dates, and dependencies — is extracted from the CSV export and reconstructed in Jira as Issue start and due dates. Dependencies that do not have a Jira-native equivalent are stored in a custom field jira_dependencies__c as a text reference to the dependent issue key. Jira's Board and Timeline views then render the dependency chain visually without requiring a third-party Gantt app.
ProjectFlow
Alert
Jira
Jira Notification Scheme + Automation Rule
lossyProjectFlow Alerts and notification thresholds are platform-specific and do not have a direct Jira equivalent. We extract the alert configurations during discovery and map them to Jira Notification Schemes (for project-level notifications) and Jira Automation Rules (for conditional alert triggers). The alert inventory is delivered as a written document with each ProjectFlow alert described and its recommended Jira equivalent noted.
ProjectFlow
ProjectShare
Jira
Permission Scheme
lossyProjectFlow ProjectShares control access for users and external parties at the project level. We map these to Jira Permission Schemes by extracting the list of ProjectFlow users with project-level access and recreating equivalent Jira project role memberships. Multicompany Enterprise structures require deduplication of the same person appearing under multiple company contexts before mapping to Jira's single-company permission model.
ProjectFlow
Assignee
Jira
User
1:1ProjectFlow Assignees are resolved by email match against Jira User accounts. In Enterprise-tier multicompany structures, the same person may appear under multiple company contexts, creating duplicate user records in ProjectFlow. We deduplicate these cross-company records during assignee mapping, preserving task history attribution to a single Jira User record per person. Any ProjectFlow assignee without a matching Jira User is held in a reconciliation queue for the customer's admin to provision before record import resumes.
ProjectFlow
Custom Field (Project)
Jira
Custom Field
lossyProjectFlow custom fields on Projects vary by tier and configuration. We enumerate all custom fields during discovery, classify them by data type (text, number, date, picklist, user reference), and pre-create matching Jira custom fields in the destination project before data migration begins. Jira's custom field type must match the source data type; fields that cannot be matched (such as ProjectFlow fields with complex nested structures) are flagged in the migration inventory.
| ProjectFlow | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Issue1:1 | Fully supported | |
| Subtask | Subtasklossy | Fully supported | |
| Milestone | Fix Version1:1 | Fully supported | |
| Document | Attachment1:1 | Fully supported | |
| DocumentFolder | Folder (Confluence or Jira project directory)lossy | Fully supported | |
| DailyReport | Issue Comment + Custom Field1:many | Fully supported | |
| GanttChart | Fix Version + Issue Dates + Dependencieslossy | Fully supported | |
| Alert | Jira Notification Scheme + Automation Rulelossy | Fully supported | |
| ProjectShare | Permission Schemelossy | Fully supported | |
| Assignee | User1:1 | Fully supported | |
| Custom Field (Project) | Custom Fieldlossy | 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.
ProjectFlow gotchas
No documented public REST API for automated exports
DailyReports object is construction-industry specific
Enterprise multicompany structure complicates user deduplication
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 CSV export procurement
We audit the ProjectFlow instance across tiers (Grow, Professional, Enterprise), project portfolio, task volume, document count, DailyReports usage, alert configurations, and multicompany structure. We request structured CSV exports of Projects, Tasks, Documents, DailyReports, and any relevant user lists from the customer's ProjectFlow account. If CSV exports are unavailable in the customer's tier, we deploy FlitStack AI's assisted capture tooling to extract data from the UI. The discovery output is a written migration scope including subtask depth assessment, multicompany user deduplication list, and a flag list of any ProjectFlow objects without a CSV export path.
Jira destination configuration
We configure the Jira destination before any data ingestion. This includes creating the Jira Project with the appropriate project type (Team-managed or Company-managed), provisioning custom fields to match ProjectFlow custom field types and names, configuring Fix Versions (from ProjectFlow Milestones), setting up the Jira Permission Scheme to match ProjectFlow ProjectShares, and creating a Jira Automation rules inventory template to receive the ProjectFlow workflow inventory post-migration. Jira Automation rules are not migrated as code during this phase; the configuration step prepares the schema so that migration ingest proceeds without schema errors.
Multicompany user deduplication
For Enterprise-tier ProjectFlow instances with multicompany structures, we extract all user records across company contexts, identify email-address duplicates, and build a deduplication map. We present the map to the customer's admin for confirmation, designating a single authoritative Jira User per person. Task history attribution is updated to point to the authoritative user. This step must complete before assignee mapping in the migration pipeline because Jira User IDs are required as foreign keys on issue creation.
CSV parsing and transform
We parse the ProjectFlow CSV exports row by row, applying field-level transforms for date formats, user email to Jira User ID lookups, status mapping (ProjectFlow statuses to Jira statuses), priority mapping, and subtask depth flattening. The DailyReports CSV rows are transformed into Jira Issue Comment payloads with custom field metadata attached. All custom field values are type-checked against the pre-provisioned Jira custom field definitions. The transform phase emits a field-mapping reference document and a row-count reconciliation report before ingestion begins.
Jira REST API ingestion with rate-limit handling
We ingest records into Jira using the Jira REST API with batch chunking (100 issues per bulk request) and exponential backoff on HTTP 429 responses. Jira's cost-based rate limiting assigns a budget per Jira tier; we track the cost counter and pause when the budget is exhausted, resuming after the cooldown window. Parent records (Projects, Issues) are ingested before child records (Subtasks, Attachments, Comments) so that the Jira-generated keys are available as foreign keys. Each ingestion phase emits a Jira issue count reconciliation report.
Cutover, validation, and workflow handoff
We freeze ProjectFlow writes during cutover, run a final delta migration of any records modified during the migration window, then mark Jira as the system of record. We validate the Jira project by spot-checking a random sample of migrated issues against the ProjectFlow source (record counts, field values, attachment presence, comment preservation) and present the validation report to the customer's ProjectManager for sign-off. We deliver the ProjectFlow workflow inventory as a written document for the customer's admin to rebuild in Jira Automation. We do not rebuild workflows, alerts, or automations as code inside the migration scope.
Platform deep dives
ProjectFlow
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 ProjectFlow 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
ProjectFlow: Not publicly documented.
Data volume sensitivity
ProjectFlow 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
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