Project Management migration

Migrate from Jira to monday Work Management

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

Jira logo

Jira

Source

monday Work Management

Destination

monday Work Management logo

Compatibility

100%

15 of 15

objects map 1:1 between Jira and monday Work Management.

Complexity

CModerate

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Try the reverse

monday Work Management
Jira

Overview

What this migration involves

Jira's data model is issue-centric: Projects contain Issues, Issues have Issue Types (Bug, Story, Task, Epic), and those Issue Types carry custom fields via Jira's field configuration system. Jira supports four-level hierarchy (Epic → Story → Sub-task, plus Linked Issues), multiple active sprints per board, and a fully customizable status workflow per project. Monday Work Management uses a flat board-item model: Workspaces contain Boards, Boards contain Groups (Kanban columns), and Groups contain Items. Items can have Sub-items. Monday has no native Issue Type concept — Type is typically simulated with a Status column or a Label. Custom data lives in Columns, which support 30+ column types (text, number, date, person, file, etc.) but do not have Jira's field-level schema validation. We map Jira Issues to Monday Items, Jira Status to Monday Status columns (with value-by-value mapping per workflow), Jira Priority to Monday Priority labels, and Jira's custom fields to Monday Columns — creating the column in Monday first if it does not exist. Attachments re-upload to Monday Files; comments become Item Updates. Jira Epics require a structural decision: we can store Epic as a custom column value on the Item (flattened model) or as a parent Item with Stories as child Items (hierarchical model) — your team chooses before migration runs. What does not migrate: Jira Workflows and Jira Automations. They operate on platform-specific triggers and conditions that are not portable. We export a JSON representation of your Jira automation rules as a rebuild reference for Monday's Workflows builder. Jira's built-in reports and dashboards do not transfer; underlying data does. Jira's fix versions and sprint assignments migrate as column values or Group names in Monday, preserving release and iteration context.

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

Jira logo

Jira

What's pushing teams away

  • Excessive configuration complexity: multiple menus, deeply nested settings, and custom workflows that become unmanageable as the backlog grows, making basic task updates cumbersome.
  • Performance degrades noticeably with large backlogs and complex custom fields, causing the interface to become slow and unresponsive at scale.
  • Reporting requires additional configuration or paid plugins; generating detailed reports demands extra effort without native out-of-the-box analytics.
  • Frequent bugs and integration glitches reported in reviews, with support resolution times frustrating teams managing critical project data.
  • Teams outside engineering (marketing, operations, legal) find Jira unintuitive and resist adoption, leaving a single-tool promise unfulfilled.

Choosing

monday Work Management logo

monday Work Management

What's pulling them in

  • Lowest onboarding friction of any mid-market PM tool — drag-and-drop boards and colorful UI mean non-technical team members contribute from day one without training.
  • Highly customizable board structure lets teams model their actual workflow rather than forcing a predefined template onto their process.
  • Generous free forever plan with two seats lets small teams or solo users validate the platform before committing budget or migrating data from elsewhere.
  • Integrations with Slack, Zoom, Google Drive, and CRM tools keep monday.com as a coordination hub rather than requiring teams to switch context constantly.
  • Multiple view modes — Kanban, Calendar, Gantt, Map, Chart — give different team members the visualization they prefer without switching tools.

Object mapping

How Jira objects map to monday Work Management

Each row shows how a Jira object lands in monday Work Management, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Jira

Project

maps to

monday Work Management

Workspace + Board

1:1
Fully supported

Each Jira Project maps to one Monday Workspace containing at least one Board. For multi-board projects, we create a Board per Jira board within the Workspace. Project-level settings (default assignee, notification scheme) do not transfer — those are rebuilt as Board-level settings in Monday.

Jira

Issue

maps to

monday Work Management

Item

1:1
Fully supported

Jira Issues map 1:1 to Monday Items. Every standard field (summary, description, status, priority, assignee, reporter, created, updated, due date) transfers as a column in Monday. Original Jira issue key (e.g., PROJ-123) is preserved in a custom Jira_Key__c column for cross-reference.

Jira

Issue Type (Bug, Story, Task)

maps to

monday Work Management

Status label or Type__c column

1:1
Fully supported

Monday has no native Issue Type entity. We map Jira Issue Types to a Monday Status column (using labels) for visual parity, or to a dedicated Type__c text/label column if the team prefers separate typing from workflow status. Teams choose the approach before migration; both options preserve the type value.

Jira

Epic

maps to

monday Work Management

Parent Item or Epic__c column

1:1
Fully supported

Jira Epics require a structural decision: (a) flatten — store Epic as a value in a custom Epic__c column on each Story Item, losing hierarchy but simplifying the board; (b) hierarchical — keep Epics as parent Items with Stories as child Sub-items. We present both options in the migration plan. The choice affects sub-item nesting depth in Monday.

Jira

Sub-task

maps to

monday Work Management

Sub-item

1:1
Fully supported

Jira Sub-tasks map one-to-one to Monday Sub-items. Every Sub-task inherits its Jira priority, assignee, and status, which become the Priority label, Person column, and Status label on the Sub-item respectively. The Sub-task description, due date, and any attached files or comments also transfer as the Item's description, Due Date column, Files, and Updates. Sub-items appear indented beneath their parent Item in both list and board views.

Jira

Status (per workflow)

maps to

monday Work Management

Status column (label set)

1:1
Fully supported

Each Jira workflow step maps to a Monday Status label. Value mapping is one-to-one: each Jira status name (e.g., 'In Progress', 'In Review', 'Done') becomes a Monday Status label on the board. We preserve the original transition order as the column's label sequence. If Monday's default labels don't match Jira's naming, we configure custom labels before migration.

Jira

Priority

maps to

monday Work Management

Priority column

1:1
Fully supported

Jira Priority values (Highest, High, Medium, Low, Lowest) map to Monday Priority labels. If your Jira instance uses custom Priority names, we map them value-by-value to the closest Monday Priority tier. Priority icons in Jira (red/blue/yellow) have no Monday equivalent — color coding is informational only in the destination.

Jira

Fix Version

maps to

monday Work Management

Timeline column or Version__c column

1:1
Fully supported

Jira Fix Version has no direct Monday equivalent. We map it to a Monday Timeline column (start date = version release date) or to a custom Version__c text column listing all assigned versions per item. Multiple versions per item (Jira allows N) become comma-separated values in the Monday column.

Jira

Sprint

maps to

monday Work Management

Group name (Sprint board) or Sprint__c column

1:1
Fully supported

On Monday's sprint-based boards, Jira Sprints map to Groups. Sprint name, start date, and end date are stored in a Sprint__c custom column. Closed sprints in Jira become closed Groups in Monday. If the team uses a standard Kanban board in Monday (not Monday Dev), sprints are stored as a Sprint__c column value without Group-level isolation.

Jira

Attachment

maps to

monday Work Management

Files column

1:1
Fully supported

Jira attachments (images, documents, PDFs) download from Jira and re-upload to Monday Files. File size limits apply (Monday caps individual files; large attachments may require splitting). Inline images embedded in Jira descriptions are extracted and stored as separate Files linked to the Item.

Jira

Comment

maps to

monday Work Management

Item Updates

1:1
Fully supported

Jira comments map to Monday Item Updates. Author, timestamp, and body text transfer. Jira's threaded comment replies are preserved as sequential Updates in Monday's activity log. Private comments in Jira do not have a Monday equivalent — we flag them for manual review.

Jira

Component

maps to

monday Work Management

Component__c column

1:1
Fully supported

Jira Components provide project-level groupings of issues and have no direct Monday counterpart. For each board that uses Components, we create a custom Component__c text or Label column. When an issue carries multiple Jira Components, the values are concatenated as comma-separated entries within the Component__c column, preserving the full grouping context for each Item.

Jira

Label

maps to

monday Work Management

Tags

1:1
Fully supported

Jira Labels are transferred verbatim as Monday Tags, maintaining the exact label text for each Item. Because Tags in Monday are cross-board by design, any label that appears on issues across several Jira projects automatically becomes a shared Tag that can be applied to Items on any board, eliminating duplication and ensuring consistent taxonomy across the workspace.

Jira

Issue Link (any type)

maps to

monday Work Management

Related_Issues__c column

1:1
Fully supported

Jira Issue Links (blocks, is blocked by, relates to, clone, etc.) have no Monday equivalent. We store the linked issue's Jira key and link type in a Related_Issues__c JSON column. Teams can manually recreate relationships in Monday or use a third-party relation-tracking app.

Jira

Worklog

maps to

monday Work Management

Time Tracking column (if enabled) or Worklog__c column

1:1
Fully supported

Jira worklogs (time spent per issue) migrate to a Monday Time Tracking column if the team has it enabled, or to a Worklog__c custom column storing author, time spent, and date. Monday's native time tracking aggregates per item; worklog history is preserved as structured text if native tracking is not available on the plan.

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.

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

monday Work Management logo

monday Work Management gotchas

High

Subitems have no bulk export endpoint

High

API complexity budget constrains query depth

Medium

Daily call limits vary sharply across plan tiers

Medium

Automation and integration rules do not export via API

Low

Saved views are not exposed via API

Pair-specific challenges

  • Jira's four-level issue hierarchy collapses into Monday's flat Item/Sub-item model

    Jira supports Epic → Story → Sub-task plus Linked Issues as a four-level structural web. Monday has only Items and Sub-items — no native Epic-level container and no linked-issues construct. We surface this in the migration plan: teams must choose between (a) storing Epic as a custom column value on Stories (flattened), or (b) making Epics parent Items with Stories as Sub-items (hierarchical). Both approaches lose some Jira-native context. The choice affects Gantt views, cross-board reporting, and sprint burndown — a Monday Dev migration team should weigh this before cutover.

  • Monday's API complexity budget can exhaust mid-migration, causing partial failures

    Monday scores every API query by complexity points (CPU load, nested relations, column count). A bulk read of 500 Items with 20 columns each can consume 40% of a Basic plan's per-query complexity budget in a single call. On a Standard plan (1,000 daily calls), a large migration can hit rate limits before completion. We paginate at 100 items per query, implement exponential backoff on 429 responses, and recommend the team upgrades to Pro (10,000 daily calls) before migration runs if volume exceeds 20,000 issues. This is a capacity decision, not a data-loss risk — but missed calls mean incomplete loads without retry logic.

  • Jira workflows and automations do not migrate — they must be rebuilt from scratch

    Jira workflows are state machines with conditions, validators, and post-functions that operate on Jira-specific events. Monday's automation builder uses if-this-then-that triggers that are architecturally incompatible. A Jira automation that 'transitions an issue to In Review when a specific field changes' cannot export to Monday. We provide a JSON export of your Jira automation definitions (from Atlassian Automation or ScriptRunner) as a reference document for your Monday admin to rebuild. Jira's built-in notifications also do not migrate — those need to be recreated as Monday automations or integrations.

  • Status value mapping is manual — Jira workflow steps do not auto-populate Monday Status labels

    Jira status names (e.g., 'Needs Triage', 'Awaiting CR Approval', 'Desk Rejected') are defined per Jira workflow and are often non-standard. Monday's Status column uses a predefined label set. There is no automated mapping between Jira's custom status names and Monday's labels — each status step requires a manual value-mapping entry before migration. Teams with 15+ workflow steps in Jira should allocate time in the planning phase for status mapping review. We deliver the mapping spreadsheet; your team approves each mapping before the migration run.

  • Jira's Atlassian-native integrations become read-only or non-functional after migration

    Jira Confluence page links, Tempo timesheet data, Structure add-on hierarchies, and BigPicture program boards are Atlassian-ecosystem constructs with no Monday equivalent. After migration, Confluence pages that reference Jira issue keys will show broken links. Tempo worklogs need to be recreated as Monday Time Tracking entries. Structure and BigPicture hierarchies (which organize Epics across programs) cannot transfer — teams using those add-ons should plan for manual re-documentation or a separate program-board rebuild in Monday or a third-party tool. We flag all Atlassian add-on data during the audit phase.

Migration approach

Six steps for a successful Jira to monday Work Management data migration

  1. Audit Jira projects, workflows, and custom fields

    Before any data moves, FlitStack AI inventories every Jira project, issue type scheme, workflow, and custom field via the Jira REST API. We identify which custom fields are actively used (dropping unused ones reduces migration scope), which workflows differ per project, and whether your Jira instance uses Atlassian add-ons (Tempo, Structure, ScriptRunner) whose data needs special handling. The audit output is a migration scope document that your team reviews and approves before we proceed.

  2. Design Monday board structure and create columns

    FlitStack AI creates the Monday workspace and boards based on the Jira project inventory. For each board, we pre-create the columns that will receive migrated data — mapping Jira status to Monday Status labels, Jira custom fields to Monday column types, and Jira fix versions to timeline or text columns. Jira issue types are assigned to a Type__c column or encoded in Status labels per your chosen approach. This step runs before any data extraction so the Monday schema is ready when the migration run starts.

  3. Extract Jira issues via API with full field payload

    We pull every issue from each Jira project using the Jira REST API, including all standard fields, custom fields, comments, attachments, worklogs, issue links, and sprint assignments. Attachments are downloaded to temporary storage with their original filenames and MIME types preserved. Timestamps (created, updated, resolution date) are captured as Unix epoch and stored alongside each field for reconstruction in Monday. The extraction runs in paginated batches of 100 issues to avoid Jira API timeouts and is resumable if interrupted.

  4. Run a pilot migration on two boards with field-level diff

    FlitStack AI runs the migration against a representative slice — typically one Jira project with 100–300 issues spanning multiple issue types, statuses, and assignees. We generate a field-level diff comparing the Jira source record against the Monday destination record for every migrated item. Your team reviews the diff: checks that Jira status names map to the correct Monday labels, that Epic assignments appear correctly, that Sub-items nest under the right parent Items, and that comments and attachments landed on the right Items. No data is committed until you sign off on the pilot.

  5. Execute full migration with delta-pickup and audit log

    Once the pilot is approved, FlitStack AI runs the full migration across all Jira projects. A delta-pickup window (24–48 hours) runs concurrently with your Jira team's final push — any issues created or modified in Jira during the window are captured in a second extraction pass and merged into Monday before cutover. Every operation is logged: Jira issue key, Monday Item ID, fields mapped, timestamp of migration. One-click rollback reverts Monday to its pre-migration state if reconciliation fails.

Platform deep dives

Context on both ends of the pair

Jira logo

Jira

Source

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.
monday Work Management logo

monday Work Management

Destination

Strengths

  • Drag-and-drop board UI with near-zero learning curve for non-technical users entering project data for the first time.
  • 20+ column types and unlimited custom columns let teams model arbitrarily complex data structures without developer help.
  • Multi-view support — Kanban, Gantt, Calendar, Timeline, Chart, Map — satisfies different team members without forcing a single layout.
  • Automations cover common trigger-action patterns for teams without dedicated developers to write custom scripts.
  • Free plan for 2 seats and a 14-day trial on all paid tiers make evaluation risk-free before committing to migration scope.

Weaknesses

  • Per-seat pricing with no enterprise flat-rate option means costs scale linearly with headcount, making it expensive at 50+ seats.
  • Subitems lack bulk API access, making them problematic for CRM-style use cases where contact records live as subitems under a company board.
  • Automations and advanced views are gated behind Pro and Enterprise tiers, creating feature deserts on entry-level plans.
  • Dependency column is visually limited — no critical path, no auto-rescheduling, and cross-board dependencies require manual link management.
  • No native document management; docs, wikis, and knowledge bases require a separate integration or third-party workaround.

Complexity grading

How hard is this migration?

Moderate Project Management migration. 5 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Jira and monday Work Management.

  • Object compatibility

    C

    5 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

    Jira: Points-based rate limits with tiered quotas enforced per org; token-based traffic not affected by new points model.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Jira to monday Work Management 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 Jira to monday Work Management data migrations

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

Can't find your answer?

Walk through your Jira to monday Work Management migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Jira-to-Monday migrations complete in 3–5 days of clock time for under 10,000 issues. Larger setups with 10,000–50,000 issues extend to 1–2 weeks. Complex migrations with 50,000+ issues, multiple Jira projects with different workflows, or Atlassian add-on data (Tempo, Structure) requiring custom handling run 2–4 weeks. The longest planning step is manual status value mapping — Jira workflow steps need to be matched to Monday Status labels before any data runs.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Jira.
Land in monday Work Management, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day