Project Management migration
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
Source
monday Work Management
Destination
Compatibility
15 of 15
objects map 1:1 between Jira and monday Work Management.
Complexity
CModerate
Timeline
3–5 days
Try the reverse
Overview
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.
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.
Source platform
Jira platform overview
Scorecard, SWOT, gotchas, and pricing for Jira.
Destination platform
monday Work Management platform overview
Scorecard, SWOT, gotchas, and pricing for monday Work Management.
Data migration guide
The complete monday.com migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Source platform guide
Jira migration guide
Understand the data you're exporting from Jira before mapping it.
Destination checklist
monday.com migration checklist
Pre- and post-cutover tasks for moving onto monday Work Management.
Source checklist
Jira migration checklist
Exit checklist for unwinding your Jira setup cleanly.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
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
monday Work Management
Workspace + Board
1:1Each 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
monday Work Management
Item
1:1Jira 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)
monday Work Management
Status label or Type__c column
1:1Monday 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
monday Work Management
Parent Item or Epic__c column
1:1Jira 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
monday Work Management
Sub-item
1:1Jira 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)
monday Work Management
Status column (label set)
1:1Each 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
monday Work Management
Priority column
1:1Jira 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
monday Work Management
Timeline column or Version__c column
1:1Jira 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
monday Work Management
Group name (Sprint board) or Sprint__c column
1:1On 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
monday Work Management
Files column
1:1Jira 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
monday Work Management
Item Updates
1:1Jira 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
monday Work Management
Component__c column
1:1Jira 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
monday Work Management
Tags
1:1Jira 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)
monday Work Management
Related_Issues__c column
1:1Jira 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
monday Work Management
Time Tracking column (if enabled) or Worklog__c column
1:1Jira 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.
| Jira | monday Work Management | Compatibility | |
|---|---|---|---|
| Project | Workspace + Board1:1 | Fully supported | |
| Issue | Item1:1 | Fully supported | |
| Issue Type (Bug, Story, Task) | Status label or Type__c column1:1 | Fully supported | |
| Epic | Parent Item or Epic__c column1:1 | Fully supported | |
| Sub-task | Sub-item1:1 | Fully supported | |
| Status (per workflow) | Status column (label set)1:1 | Fully supported | |
| Priority | Priority column1:1 | Fully supported | |
| Fix Version | Timeline column or Version__c column1:1 | Fully supported | |
| Sprint | Group name (Sprint board) or Sprint__c column1:1 | Fully supported | |
| Attachment | Files column1:1 | Fully supported | |
| Comment | Item Updates1:1 | Fully supported | |
| Component | Component__c column1:1 | Fully supported | |
| Label | Tags1:1 | Fully supported | |
| Issue Link (any type) | Related_Issues__c column1:1 | Fully supported | |
| Worklog | Time Tracking column (if enabled) or Worklog__c column1:1 | 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.
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
monday Work Management gotchas
Subitems have no bulk export endpoint
API complexity budget constrains query depth
Daily call limits vary sharply across plan tiers
Automation and integration rules do not export via API
Saved views are not exposed via API
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
Jira
Source
Strengths
Weaknesses
monday Work Management
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Jira and monday Work Management.
Object compatibility
5 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
Jira: Points-based rate limits with tiered quotas enforced per org; token-based traffic not affected by new points model.
Data volume sensitivity
Jira 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
Answers to the questions buyers ask most during Jira to monday Work Management migration scoping. Not seeing yours? Book a call.
Walk through your Jira to monday Work Management migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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Other ways to leave Jira
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Same-Project Management migrations
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