Project Management migration

Migrate from Flow to Jira

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

Flow logo

Flow

Source

Jira

Destination

Jira logo

Compatibility

83%

10 of 12

objects map 1:1 between Flow and Jira.

Complexity

CModerate

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Flow to Jira is a migration from a discontinued, flat-hierarchy PM tool to a structured, issue-tracking platform with an extensive REST API. Flow has no documented public API, so we extract data via direct workspace access, CSV exports where available, or browser-based downloads. Jira's data model is fundamentally hierarchical—Projects contain Epics, which contain Stories, Tasks, and Bugs—whereas Flow organizes work as Projects with flat Task lists. We map Flow Projects to Jira Projects, Flow Tasks to Jira Issues (with the customer choosing the default Issue Type), and Flow Lists to Jira task groupings or Labels. We do not migrate Flows, Views, or automation constructs; we deliver a written inventory of these for the customer's admin to rebuild in Jira. The platform's reported closure makes data preservation time-sensitive: we prioritize Comment and Attachment extraction before workspace access is revoked.

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

Flow logo

Flow

What's pushing teams away

  • Flow has reportedly ceased operations, prompting users to migrate to alternative project management platforms before data becomes inaccessible.
  • Some users reported occasional technical issues during usage, creating friction for teams with mission-critical workflows.
  • Advanced features like detailed reporting, team analytics, and cross-project views were limited compared to enterprise-focused competitors.
  • The platform's minimal feature set became constraining as teams scaled beyond basic task management needs.

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 Flow objects map to Jira

Each row shows how a Flow 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.

Flow

Project

maps to

Jira

Project

1:1
Fully supported

Flow Projects map to Jira Projects. Each Flow Project becomes a Jira Project with the same name and description preserved. Jira Projects require a Project Key (prefix for Issues) that we derive from the Flow Project name, truncated to 2-10 uppercase alphanumeric characters. Projects are imported first so that child Tasks can reference the correct ProjectId during insertion.

Flow

Task

maps to

Jira

Issue (Story, Task, or Bug)

1:1
Fully supported

Flow Tasks map to Jira Issues. The customer selects a default Issue Type during scoping (Story for product work, Task for operational work, or Bug for defect tracking). Jira Issue fields map as follows: Task title to Summary, Task description to Description, Task due date to Due Date, and Task assignee to Assignee. Flow custom fields become Jira custom fields pre-created in the destination project before import.

Flow

List

maps to

Jira

Issue Labels or Grouping

lossy
Fully supported

Flow Lists group Tasks within a Project. Jira has no native List equivalent, so we map Lists to Labels on the migrated Issues. The customer can alternatively choose to create Jira Components per List name and link Issues to Components. We confirm the preferred strategy during scoping and configure Labels or Components before import.

Flow

Subtask

maps to

Jira

Sub-Task Issue or Linked Issue

1:many
Fully supported

Flow Subtasks nest under parent Tasks. Jira natively supports Sub-Tasks via the Sub-Task Issue Type linked to a parent Issue. We preserve the parent-child hierarchy by creating Jira Sub-Tasks under their parent Issue, with the Sub-Task Issue Type configured in the destination project. If Jira Sub-Tasks are not enabled, we create linked Issue records with a 'is blocked by' or 'is child of' relationship.

Flow

Comment

maps to

Jira

Comment

1:1
Fully supported

Flow Comments attach to Tasks and migrate to Jira Issue Comments. We preserve comment body, author (by email lookup to Jira User), and timestamp. Flow's UI may return timestamps truncated to a date rather than an exact datetime; we document this limitation and preserve whatever precision Flow returns. Jira requires the parent Issue to exist before Comment insert, so we run Comments in a second pass after Issues are loaded.

Flow

Assignee

maps to

Jira

User (Assignee)

1:1
Fully supported

Flow Members assigned to Tasks map to Jira Users by email address. We extract the assignee email from Flow workspace access and resolve it against the Jira destination User table. Unresolved assignees (no matching Jira User) are placed in a reconciliation queue for the customer's admin to provision before import resumes. Active and inactive Jira users are both supported for historical assignee mapping.

Flow

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

Flow Custom Fields on Tasks (key-value pairs) migrate to Jira Custom Fields. We infer field types from Flow values (text to Text Field, numeric to Number Field, date to Date Picker, true/false to Checkbox). Jira custom fields are pre-created via the Jira API before migration begins. Field names are preserved with Jira's naming conventions (alphanumeric, no special characters). Flow Custom Fields with no direct Jira type equivalent become Text Fields with the raw value stored.

Flow

Tag

maps to

Jira

Labels

1:1
Fully supported

Flow Tags on Tasks map to Jira Labels. Each unique Flow Tag becomes a Jira Label with the same text value. Labels on Jira can be applied across projects and are searchable via JQL. We map all Tags and do not limit label count during migration.

Flow

Due Date

maps to

Jira

Due Date

1:1
Fully supported

Flow Task due dates map cleanly to Jira Issue Due Date. Time zone context from Flow is preserved. If Flow stores time component on a due date, we map it to Jira's Due Date field (date only) and note any time precision loss in the post-migration report.

Flow

Time Tracking

maps to

Jira

Time Tracking (Worklog)

1:1
Mapping required

If Flow has time entry records associated with Tasks, we map them to Jira Worklog entries. Each Worklog links to the migrated Jira Issue and records the time spent amount, author (resolved by email to Jira User), and timestamp. Jira's Time Tracking must be enabled on the destination project before worklog import begins.

Flow

Attachment

maps to

Jira

Attachment

1:1
Fully supported

Flow Attachments require manual browser download by the customer before migration because Flow provides no bulk export API. We document the full list of Tasks with attachments and provide a step-by-step checklist for the customer to download files. Once downloaded, we upload attachments to Jira Issues via the Jira API, associating each file with the correct Issue ID. Jira Cloud attachment size limits (10 MB per file on Free, 50 MB on Standard+) apply.

Flow

Views

maps to

Jira

N/A (documentation only)

1:1
Not supported

Flow saved Views represent saved filtering and sorting states in the UI. They contain no persistent data that can be extracted via API. We document the View names, filter criteria, and sort order from Flow's active session and deliver them as a reference checklist for the customer's admin to recreate in Jira as Saved Filters or Board configurations post-migration.

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.

Flow logo

Flow gotchas

High

No documented public API blocks automated migration

High

Platform closure requires urgent data preservation

Medium

Attachments require manual browser download

Medium

Comments have no timestamp precision guarantee

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

  • Flow's lack of API requires manual-first extraction

    Flow has no publicly documented API endpoint, so we cannot run programmatic API calls to extract data at scale. Extraction relies on active workspace session access, CSV exports if available in the current UI, or manual browser-based downloads. We confirm workspace access is active during scoping and prioritize exporting Comments and Attachments first because these are the hardest to recover once access is revoked. If the platform is already inaccessible, migration scope must be adjusted to reflect data availability.

  • Flow's platform closure requires urgent data preservation

    Multiple third-party sources indicate Flow is no longer operating. If active workspace access is available, we treat it as time-sensitive and run export immediately upon engagement. We prioritize Attachments and Comments because these have the highest manual-recovery cost. Customers must provide credentials and we flag that access may be revoked without notice. If access is already lost, we document what data is recoverable and adjust the migration scope accordingly.

  • Comment timestamps may lack time precision

    When scraping Comments from Flow's UI, the displayed timestamp may be truncated to a date rather than an exact datetime. We preserve whatever timestamp Flow returns but note that chronological ordering of Comments within a Jira Issue may be approximate rather than precise. We document this in the post-migration report and flag it as a known limitation of Flow's UI scraping extraction method.

  • Attachments require manual browser download

    Even with active workspace access, Flow provides no bulk attachment export. Each file attached to a Task must be downloaded individually via the browser. We document the full list of Tasks with attachments and provide the customer with a step-by-step checklist to capture files before we import the Issue records. Jira's attachment size limits (10 MB Free, 50 MB Standard+) apply. If a Flow Attachment exceeds these limits, we flag it during scoping.

  • Jira Issue Type configuration required before import

    Flow uses a single Task type per project. Jira requires at least one Issue Type to be configured per project before Issues can be created. We configure the default Issue Type (Story, Task, or Bug) during scoping and pre-create it via the Jira API before any Issues are imported. If the customer uses Sub-Tasks, we also configure the Sub-Task Issue Type with the correct parent Issue Type linkage before migration begins.

Migration approach

Six steps for a successful Flow to Jira data migration

  1. Workspace access and data inventory

    We confirm active Flow workspace access and run an immediate data inventory across all Projects, Tasks, Subtasks, Comments, Attachments, Custom Fields, Tags, and time entries. If workspace access is unavailable, we assess what data can be recovered via any available CSV exports or browser-cached content. We deliver a data inventory report showing record counts per object and flag any data that cannot be extracted programmatically.

  2. Jira project and schema configuration

    We configure the Jira destination before data import begins. This includes creating Jira Projects (one per Flow Project), configuring the default Issue Type, enabling Time Tracking if time entries exist, pre-creating Custom Fields with inferred types, and setting up Labels for Flow Tag migration. Jira configuration is deployed via the Jira REST API into a Sandbox or staging project first for validation.

  3. Attachment download checklist and customer action

    We provide the customer with a detailed checklist of every Task with an Attachment, including the file name and download URL if accessible in the Flow UI. The customer downloads files to a shared folder before migration day. We do not extract Attachments automatically due to Flow's lack of API. Once files are downloaded, we verify count and size against the inventory before proceeding to Jira import.

  4. Data extraction via workspace access

    We extract all Projects, Tasks, Subtasks, Comments, Custom Fields, Tags, and time entries via direct workspace session access or CSV export where available. Data is extracted in dependency order (Projects first, then Tasks, then Subtasks, then Comments). We run the extraction as a parallel job to the attachment download checklist so that both tracks complete before Jira import begins.

  5. Jira import with reconciliation

    We import data into Jira in record-dependency order: Projects, Issues (with Assignee resolved to Jira User by email), Sub-Tasks, Comments (linked to Issue ID), Worklogs (if time tracking exists), and Labels. We run a row-count reconciliation after each phase against the extraction inventory. Jira validation rules and required field constraints are either temporarily bypassed or accounted for in the pre-import schema configuration. Comments are loaded in a second pass after Issues are confirmed in Jira.

  6. Cutover, validation, and automation handoff

    We freeze Flow workspace writes during cutover and run a final delta pass to capture any records modified during the migration window. We deliver a post-migration reconciliation report comparing extracted counts to Jira imported counts. We provide a written inventory of Flow Views and any implicit workflow patterns (List-to-status mappings) for the customer's admin to rebuild as Jira Saved Filters, Boards, and Automation Rules. We support a one-week hypercare window for reconciliation issues raised during initial team use.

Platform deep dives

Context on both ends of the pair

Flow logo

Flow

Source

Strengths

  • Clean, minimal interface with low learning curve for small teams
  • Flat visual hierarchy making project structure easy to navigate
  • Strong task prioritization and to-do list management in a single view
  • Customizable project and task structures to match team methodology
  • Consolidates multiple projects and timelines into centralized workspace

Weaknesses

  • No public API documented, limiting automated migration options
  • Platform has reportedly ceased operations, making data access time-sensitive
  • Limited advanced features compared to enterprise PM platforms
  • Occasional technical stability issues reported by users
  • No native time tracking or reporting dashboards in base tier
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?

Moderate Project Management migration. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Flow and Jira.

  • Object compatibility

    D

    1 of 8 objects need a manual workaround.

  • 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

    Flow: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Flow 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 Flow to Jira data migrations

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

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Small migrations under 5,000 Tasks, 20 Projects, and no time tracking data land between two and three weeks. Larger migrations with extensive comment history, Subtask hierarchies, multiple Custom Fields, or time tracking data move to five to eight weeks because of browser-based extraction overhead, Jira configuration per project, and attachment download coordination. Jira migrations from Data Center to Cloud or multi-project rollouts add additional time for schema validation and UAT.

Adjacent paths

Related migrations to explore

Ready when you are

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