Project Management migration
Field-level mapping, validation, and rollback between Flowzone and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Flowzone
Source
Jira
Destination
Compatibility
7 of 10
objects map 1:1 between Flowzone and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Flowzone to Jira is a structural migration from a document-centric approval platform to an issue-tracking-first system. Flowzone has no documented public API, so we work around this by extracting data via CSV where the platform permits and reconstructing records programmatically before pushing into Jira through the REST and Bulk APIs. Flowzone Jobs map to Jira Issues with their current workflow step stored as a Jira status field value; Lists map to Jira Projects or Backlog Epics depending on the customer's organizational hierarchy; Columns map to custom fields with type-alignment applied during the field-mapping phase. Document approval statuses migrate as Jira Issue properties, though annotation threads may require manual reference. We do not migrate Workflows, automations, or dashboard panel definitions; we deliver a written inventory of these for the customer's admin to rebuild in Jira's workflow designer.
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 Flowzone 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.
Flowzone
Job
Jira
Issue
1:1Flowzone Jobs are the central record and map 1:1 to Jira Issues. We map Job title to Issue Summary, Job description to Issue Description, and the current workflow step of each Job to a Jira Status value that we configure in the target project's workflow scheme. Priority from Flowzone maps to Jira Priority (Highest, High, Medium, Low, Lowest). Custom column values migrate to Jira custom fields with type-alignment applied during field mapping: text columns become Short Text, numeric columns become Number, date columns become Date Picker.
Flowzone
List
Jira
Project or Epic
lossyFlowzone Lists are top-level organizational containers. We map each List to either a Jira Project (if the List represents a standalone work area) or an Epic within an existing Jira Project (if the List represents a feature grouping within a larger initiative). The decision is made during scoping based on the customer's current List count, team structure, and Jira architecture. Lists with fewer than 50 Jobs and no sub-Lists often collapse into Epics within a single Project; Lists with distinct team ownership or reporting requirements become separate Jira Projects.
Flowzone
Column
Jira
Custom Field
1:1Flowzone Columns are custom data fields on a Job. We export the column schema (field name, data type, required/optional flag) and map each to a corresponding Jira custom field. Standard column types align directly: text columns become Jira Short Text or Text Field, numeric columns become Number fields, date columns become Jira Date Picker. Select or multi-select columns become Jira Single Select or Multi-Select Picklists. We pre-create all custom fields in the target Jira project before migration begins, ensuring the field context is set to the correct issue types (Story, Task, Bug, Epic).
Flowzone
Document
Jira
Attachment
1:1Flowzone documents attached to Jobs export as binary files with their filename, version, and approval status. We restore each document as a Jira Issue Attachment via the Jira Attachment REST API (multipart upload, max 10 MB per file via API). Documents with approval statuses store their approval state as a Jira custom field (Approved, Pending, Rejected) rather than a native Jira property, since Jira does not have built-in document approval workflows. Annotation threads are UI-stored data that may not export in portable format; we flag annotated documents during the export audit and note that annotation detail requires manual reference post-migration.
Flowzone
Workflow
Jira
Workflow (documentation only)
lossyFlowzone workflows are step-based with branching, looping, and jumping logic. Jira workflows use status-driven transitions with conditions and post-functions. We do not migrate Flowzone workflows as code because the execution models differ structurally. We export the workflow definition (step names, branching conditions, looping rules, step-jumping logic) and the current step of each Job, then deliver a written workflow inventory document mapping each Flowzone workflow to the nearest Jira workflow equivalent with recommended Jira transition configurations, validators, and post-functions for the customer's admin to rebuild in Jira's workflow designer.
Flowzone
Activity
Jira
Issue or Subtask
1:1Flowzone Activities (time-planned events on Pro plan) map to Jira Issues or Subtasks depending on whether the Activity is a standalone deliverable or a time-block against an existing Job. We export the activity date, assignee, and description and create corresponding Jira Issues with the Activity description in the Issue Summary and the planned date in the Due Date or Start Date field. If Jira Premium is in use, activities may map to Jira Scheduling features.
Flowzone
Time Record
Jira
Worklog
1:1Flowzone time records capture hours logged against Jobs. We export the amount, date, and assignee and map to Jira Worklog entries on the corresponding migrated Issue. This requires Jira Software Standard or Premium; Jira Free and Standard do not include worklogging. We flag this during scoping and confirm the customer's Jira tier includes time tracking before mapping time records. Budget-to-actual comparison data from Flowzone Pro (Budget vs Actual) migrates as Jira custom fields on the Issue rather than as native Jira features.
Flowzone
User and Group
Jira
User and Project Role
1:1Flowzone user accounts include group-based permissions. We export the user list, their group membership, and permission levels and map to Jira Users matched by email address. Flowzone Groups map to Jira Project Roles (Developers, Viewers, Administrators) or to Jira Groups if the customer uses Jira Software Data Center or Cloud with Atlassian Access. Any Flowzone user without a matching Jira account goes to a reconciliation queue for the customer's admin to provision before record import resumes.
Flowzone
Form
Jira
Issue Fields (documentation)
lossyFlowzone Forms capture structured input linked to Jobs. We export the form schema and any submitted responses, noting the field-to-column routing. Jira does not have a native form object; we document the form fields as Jira custom field requirements on the relevant issue types and recommend Jira Service Management request types or Jira automation rules for form-style intake if the customer uses those features.
Flowzone
Custom Dashboard Panel
Jira
Dashboard (rebuild required)
1:1Flowzone custom dashboard panels (bar charts, pie charts) are UI-level visualizations not portable as data. We do not migrate panel definitions. The underlying Job data migrates through the standard object mapping, so the metrics are available for rebuilding Jira shared dashboards and filter-based gadgets post-migration. We flag which Flowzone panels are in active use during the discovery audit so the customer's admin knows which visualizations require recreation.
| Flowzone | Jira | Compatibility | |
|---|---|---|---|
| Job | Issue1:1 | Fully supported | |
| List | Project or Epiclossy | Fully supported | |
| Column | Custom Field1:1 | Fully supported | |
| Document | Attachment1:1 | Fully supported | |
| Workflow | Workflow (documentation only)lossy | Fully supported | |
| Activity | Issue or Subtask1:1 | Fully supported | |
| Time Record | Worklog1:1 | Fully supported | |
| User and Group | User and Project Role1:1 | Fully supported | |
| Form | Issue Fields (documentation)lossy | Fully supported | |
| Custom Dashboard Panel | Dashboard (rebuild required)1:1 | 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.
Flowzone gotchas
No documented public API for automated exports
Minimum 5-user seat minimum on all tiers
Document approval and annotation history may require manual restoration
Custom dashboard panels are UI-only and not migrated
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 Flowzone export preparation
We audit the source Flowzone account across plan (Standard/Pro), Lists, Jobs, Columns, Forms, workflows, documents, Activities, and time records. We build a Flowzone-specific data extraction plan working around the lack of API: CSV exports where available, manual export assistance where required, and programmatic record reconstruction from exported data. We confirm the List-to-Project mapping decision and identify which Columns are standard vs custom. The discovery output is a written migration scope and a Flowzone data extraction checklist for the customer.
Jira schema design and configuration
We design the destination Jira schema: Projects (one per List or grouped into Epics), issue types (Epic, Story, Task, Bug with correct hierarchy), custom fields (aligned to Flowzone Columns with correct data types and field context), workflow (migrating the current workflow step as status, with transition design documented for rebuild), and security schemes. Schema is deployed into a Jira Sandbox or dev environment first for validation. We configure the Jira project key structure and confirm with the customer before applying to production.
Sandbox migration and reconciliation
We run a full migration into the Jira Sandbox environment using production-like data volume. The customer's project manager or Jira admin reconciles record counts (Issues in, Projects in, custom fields populated), spot-checks 25-50 random Issues against the Flowzone source for field accuracy and attachment presence, and signs off the schema and mapping before production migration begins. Any mapping corrections happen here, not in production. This step also validates that the Jira permissions and project roles align with the Flowzone group-based access model.
User reconciliation and Jira provisioning
We extract every distinct Flowzone user referenced on Job assignments, Activities, and time records and match by email against the Jira destination instance. Users without a matching Jira account go to a reconciliation queue. The customer's Jira admin provisions any missing users and assigns them to the correct Project Roles or Groups. Migration cannot proceed past this step because Jira Issue assignee fields require valid User references.
Production migration in dependency order
We run production migration in record-dependency order: Jira Projects first (infrastructure), custom fields (field schema), Issues (Jobs mapped to Issues with current workflow step as status), attachments (binary documents uploaded to Issues via Jira REST API), Activities and time records (as Jira Issues or Worklog depending on Jira tier), and user permissions. Each phase emits a row-count reconciliation report before the next phase begins. We use Jira REST API for standard record creation and Jira Bulk API for large dataset batches with exponential backoff on rate limits.
Cutover, validation, and workflow rebuild handoff
We freeze Flowzone 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 inventory document mapping each Flowzone workflow to Jira transition configurations. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Flowzone workflows as Jira workflows inside the migration scope; that work is documented for the customer's Jira admin to complete in Jira's workflow designer.
Platform deep dives
Flowzone
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 Flowzone 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
Flowzone: Not publicly documented..
Data volume sensitivity
Flowzone 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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