Project Management migration

Migrate from Flowzone to Jira

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

Flowzone logo

Flowzone

Source

Jira

Destination

Jira logo

Compatibility

70%

7 of 10

objects map 1:1 between Flowzone and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Flowzone logo

Flowzone

What's pushing teams away

  • The minimum 5-user commitment increases cost for small teams or solo practitioners who only need one or two seats, making the platform less accessible for micro-businesses.
  • Absence of a documented public API limits automation and integration options, pushing technically-minded teams toward platforms with richer developer ecosystems.
  • The Pro plan is required for Gantt views, time tracking, and scheduling features, so teams on the Standard tier find themselves upgrading or working around missing capabilities.
  • Teams with highly specialised workflows report that branching and looping logic, while powerful, can become difficult to audit or debug as workflow complexity grows.
  • UK-focused pricing in pounds sterling may create currency confusion or additional cost for international teams comparing options with US-dollar competitors.

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 Flowzone objects map to Jira

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

maps to

Jira

Issue

1:1
Fully supported

Flowzone 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

maps to

Jira

Project or Epic

lossy
Fully supported

Flowzone 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

maps to

Jira

Custom Field

1:1
Fully supported

Flowzone 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

maps to

Jira

Attachment

1:1
Fully supported

Flowzone 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

maps to

Jira

Workflow (documentation only)

lossy
Fully supported

Flowzone 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

maps to

Jira

Issue or Subtask

1:1
Fully supported

Flowzone 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

maps to

Jira

Worklog

1:1
Fully supported

Flowzone 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

maps to

Jira

User and Project Role

1:1
Fully supported

Flowzone 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

maps to

Jira

Issue Fields (documentation)

lossy
Fully supported

Flowzone 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

maps to

Jira

Dashboard (rebuild required)

1:1
Fully supported

Flowzone 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.

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.

Flowzone logo

Flowzone gotchas

High

No documented public API for automated exports

Medium

Minimum 5-user seat minimum on all tiers

Medium

Document approval and annotation history may require manual restoration

Low

Custom dashboard panels are UI-only and not migrated

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

  • Flowzone has no documented public API for bulk export

    Flowzone does not appear to have a publicly documented REST API based on research. All data must be exported manually or through a supported integration. We work around this by exporting via CSV where the platform permits and reconstructing records programmatically. Customers on large datasets should be warned that bulk export may require manual intervention or sales-assisted data retrieval. We flag this during scoping and build a data extraction plan specific to the customer's Flowzone plan and data volume before migration begins.

  • Document annotation threads do not export in portable format

    Documents in Flowzone carry approval statuses and annotation threads. We export the binary file and its approval record, but annotation threads are UI-stored data that may not export in a portable format. We flag any annotated documents during the export audit, restore the approval status as a document-level property or Jira custom field, and note that annotation detail may need manual reference. This is a known limitation of the Flowzone export model.

  • Flowzone workflows do not migrate to Jira workflows as code

    Flowzone workflows use step-based branching, looping, and jumping logic that has no direct Jira equivalent. Jira workflows are status-driven with transition-based conditions. We do not migrate workflows as code. We deliver a written workflow inventory mapping each Flowzone workflow to a Jira workflow configuration with recommended transitions, validators, and post-functions. The customer's Jira admin rebuilds these in Jira's workflow designer post-migration. Automations and triggers do not migrate either.

  • Jira requires project and field schema configured before data import

    Jira requires Projects to exist and custom fields to be provisioned (with correct field context for issue types) before Issues can be imported referencing those fields. Flowzone's Lists, Columns, and Forms must be mapped to Jira Projects, custom fields, and issue types during the discovery phase, not discovered during import. We configure the Jira schema in a Sandbox or dev environment first, validate the mapping, then apply it to production before data migration begins. Teams that skip this step encounter field-not-found errors during import.

  • Jira time tracking requires Standard or Premium tier

    Flowzone time records migrate to Jira Worklog entries, but Jira's native time tracking feature requires Jira Software Standard ($7.75/user/month) or Premium ($15.50/user/month). Jira Free tier does not include Log Work. We confirm the customer's Jira tier during scoping and either migrate time records as Jira Worklog (if Standard or Premium) or as Jira custom fields storing hours and date (if Free tier, noting that native time reporting will not be available).

Migration approach

Six steps for a successful Flowzone to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Flowzone logo

Flowzone

Source

Strengths

  • Unlimited Lists, Columns, and Forms on all paid plans with no per-item restrictions.
  • Integrated document management with built-in approval workflows and annotation without requiring Acrobat.
  • Role-based permissions and external client portal sharing with fine-grained access control.
  • Time tracking and budget comparison on the Pro plan for project billing and oversight.
  • Custom dashboard panels including bar and pie charts for reporting within the platform.

Weaknesses

  • No publicly documented API found in research, limiting third-party integrations and automated data exports.
  • Minimum 5-user seat requirement on all plans, with pricing in GBP, creating a barrier for small teams.
  • Gantt views, time recording, and scheduling are gated behind the Pro plan upgrade.
  • Workflow branching and looping complexity can become hard to trace and audit at scale.
  • No visible free trial offer on the primary pricing page; trial availability requires contacting sales.
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 Flowzone 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

    Flowzone: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Flowzone 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 Flowzone to Jira data migrations

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

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Most migrations land between three and five weeks for accounts under 5,000 Jobs with no complex branching workflows. Migrations with large attachment volumes (over 50 GB of documents), complex multi-step workflow logic, time records requiring Jira work-log migration, or multiple List-to-Project splits move to eight to twelve weeks because of document extraction time, workflow mapping complexity, and Jira schema configuration per project. The Flowzone data extraction phase adds one to two weeks on top of the Jira-side migration for accounts that require manual or sales-assisted export assistance.

Adjacent paths

Related migrations to explore

Ready when you are

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