Project Management migration
Field-level mapping, validation, and rollback between monday Work Management and Jira. We move data and schema; workflows are rebuilt natively in Jira.
monday Work Management
Source
Jira
Destination
Compatibility
10 of 11
objects map 1:1 between monday Work Management and Jira.
Complexity
CModerate
Timeline
3-5 weeks
Try the reverse
Overview
Migrating from monday Work Management to Jira is a structural remapping, not a direct copy. monday Boards map to Jira Projects, monday Items map to Jira Issues with a configurable Issue Type hierarchy, and monday Columns map to Jira custom fields. The migration complexity lives in three specific places: subitems have no bulk export endpoint and require per-Item API calls, cross-board dependency columns must be flattened into Jira issue links, and monday's Automation Center rules do not export via API at all — we inventory them so your admin knows exactly what to rebuild. We preserve Updates as Jira Comments, Files as attachment URLs, and Time Tracking as duration fields. Saved views, integrations, and automations do not migrate and are documented separately for your admin's rebuild scope. Jira's free plan for up to 10 users makes the destination cost-competitive against monday Work Management Pro at $19 per seat per month.
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
monday Work Management platform overview
Scorecard, SWOT, gotchas, and pricing for monday Work Management.
Destination platform
Jira platform overview
Scorecard, SWOT, gotchas, and pricing for Jira.
Data migration guide
The complete Jira migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Source platform guide
monday.com migration guide
Understand the data you're exporting from monday Work Management before mapping it.
Destination checklist
Jira migration checklist
Pre- and post-cutover tasks for moving onto Jira.
Source checklist
monday.com migration checklist
Exit checklist for unwinding your monday Work Management 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 monday Work Management 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.
monday Work Management
Board
Jira
Project
1:1monday Boards map to Jira Projects. We preserve the board name as the project name, board owner as the project lead, and workspace assignment as the Jira project category or shared configuration. Board-level settings (default view, notification preferences) do not migrate; Jira project configuration is set up during discovery and applied uniformly across all imported boards. Teams migrating multiple boards should decide whether to create one Jira project per monday board or consolidate boards into a single project with issue type filters — this decision affects how sprints and backlogs are scoped.
monday Work Management
Item
Jira
Issue
1:1monday Items map to Jira Issues. The Item name becomes the Issue Summary field. Status maps to a Jira workflow Status, and Assignees map to Jira Assignee by email match. Priority, Due Date, and any custom column values map to their Jira equivalents. Issue Type defaults to Task for general Items; we configure a mapping rule if monday uses a Status column with values that represent issue types (Bug, Story, Epic) — in that case the Status label is used to set the Issue Type at import time rather than the default.
monday Work Management
Group
Jira
Sprint or Label
lossymonday Groups (the horizontal row containers representing status buckets or phases) map to Jira Sprint assignment if the group name matches a sprint name pattern, or to Labels if groups represent categories rather than workflow stages. We inspect the board structure during discovery: if groups are status labels (To Do, In Progress, Done), they map to a Jira workflow; if groups are phase buckets (Discovery, Design, Development, QA), they map to Labels on the Issue. The customer chooses the strategy during scoping.
monday Work Management
Column
Jira
Custom Field
1:1monday columns (text, number, date, dropdown, person, formula, link, file, vote, and others) map to Jira system or custom fields. Status columns become Jira Status transitions in the configured workflow. Date columns become Jira Due Date or a custom date field. Person columns become Jira Assignee. Dropdown and labels columns become Jira Select (single) or Multi-Select picklists. Number columns become Jira Number fields. Formula outputs that monday computes at display time may return null in the API unless the formula column is explicitly requested — we inspect the column list and handle nulls by either skipping the field or mapping a default value per the customer's preference.
monday Work Management
Subitem
Jira
Sub-task
1:1monday Subitems map to Jira Sub-tasks under their parent Issue. This is the highest-risk mapping in the migration because monday.com exposes no bulk export endpoint for Subitems — we must query each parent Item individually to retrieve its Subitems, which doubles or triples API call volume and can exhaust daily call limits on Basic and Standard plans. We handle this by first batching all Item ID retrieval, then making secondary API calls per Item during off-peak hours, and pacing to stay within the plan's limit. Subitems without a parent Item in the migrated set are flagged for the customer's admin to resolve.
monday Work Management
Dependency
Jira
Issue Link
1:1monday Dependency columns link Items as predecessor-successor pairs, sometimes across boards. Jira Issue Links support blocks, is blocked by, relates to, and duplicate link types. We flatten the cross-board dependency graph into a flat relationship table during extraction, then create Jira Issue Links using the appropriate directional type. Circular dependency chains are flagged and resolved by removing the link on the last item in the chain before import. Cross-board links that reference an Item not included in the migration scope are preserved as URL references rather than live links.
monday Work Management
User / Owner
Jira
User
1:1monday Users and Owners map to Jira Users by email match. Any monday User without a matching Jira User is held in a reconciliation queue for the customer's Jira admin to provision before record import proceeds. Inactive Jira users can receive issues if the migration admin has the necessary permissions; we configure the issue assignee accordingly during the migration window.
monday Work Management
Updates / Comments
Jira
Comment
1:1monday Updates (threaded comments on Items) map to Jira Issue Comments. We preserve the update text, author, timestamp, and thread reply structure. HTML-formatted updates are sanitized to plain text or Jira-compatible markup before import. Rich media embedded in updates (image URLs, file links) migrate as text references with the original URL preserved.
monday Work Management
Files / Attachments
Jira
Attachment
1:1monday File column values and inline attachments store file metadata — name, URL, uploader, timestamp. We migrate file references as attachment metadata on the Jira Issue. Actual binary file download is outside scope for the monday API; the URL reference is preserved on the Jira attachment record and teams should verify URL accessibility post-migration. Files stored in monday's Google Drive or Dropbox integrations migrate as external link references rather than native Jira attachments.
monday Work Management
Tags / Labels
Jira
Labels
1:1monday Tags (Labels column type) map to Jira Labels by name. Jira Labels are a flat tag namespace, so all monday Tags from all boards migrate into the same Jira Labels space — we recommend the customer review for duplicates or namespace collisions before import. Tag colors from monday are noted but have no Jira equivalent and are dropped.
monday Work Management
Time Tracking
Jira
Time Tracking
1:1monday Time Tracking column entries (duration, description, assignee, timestamp per entry) map to Jira Issue work logs with the time estimate and time spent fields. Jira's worklog format (time in seconds or Jira duration notation like 3h 30m) is applied during the transform. Multiple monday time entries for the same Item are merged into a single Jira worklog entry with the combined total and a summary description.
| monday Work Management | Jira | Compatibility | |
|---|---|---|---|
| Board | Project1:1 | Fully supported | |
| Item | Issue1:1 | Fully supported | |
| Group | Sprint or Labellossy | Fully supported | |
| Column | Custom Field1:1 | Fully supported | |
| Subitem | Sub-task1:1 | Fully supported | |
| Dependency | Issue Link1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Updates / Comments | Comment1:1 | Mapping required | |
| Files / Attachments | Attachment1:1 | Mapping required | |
| Tags / Labels | Labels1:1 | Fully supported | |
| Time Tracking | Time Tracking1:1 | Mapping required |
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.
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
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 API scoping
We audit the monday Work Management account across plan tier (Free/Basic/Standard/Pro/Enterprise), board count, Item volume per board, subitem usage per board, column type inventory, dependency column usage, automation rule count, and update/comment volume. We verify the plan tier against the API call limit because subitem exports and dependency resolution are API-intensive operations that can exhaust Basic (1,000/day) or Standard (1,000/day) limits mid-run. The discovery output is a written scope document with board-by-board complexity ratings and a recommendation to upgrade to Pro if subitem volume threatens the schedule.
Object mapping and dependency graph extraction
We extract the full monday board schema — column types, group names, status values, and dependency pairs — and design the Jira target schema: Projects (one per board or consolidated), Issue Types (configured per board's status labels), workflows (mapped from monday status columns), and custom fields (mapped from monday column types). For cross-board dependencies, we build a flat relationship table linking source and target Item IDs by board. This table is used to create Jira Issue Links during import. We also run the automation UI export to build the written automation inventory at this stage.
Sandbox migration and reconciliation
We run a full migration into a Jira Sandbox environment using production-equivalent data volumes. The customer's project manager or Jira admin reconciles record counts (Items in, Issues out; Subitems in, Sub-tasks out; Dependencies in, Issue Links out), spot-checks 25-50 records for field-level accuracy, and validates that the dependency graph has been correctly flattened. Any mapping corrections — wrong column-to-field mappings, incorrect issue type assignments, group-to-sprint strategy changes — are resolved here before production migration begins.
User provisioning and owner reconciliation
We extract every distinct monday User and Owner referenced on Items, Subitems, and Updates and match by email against the Jira destination instance. Any monday user without a matching Jira User goes to a reconciliation queue. The customer's Jira admin provisions missing users and confirms active/inactive status. Jira group structure (if different from monday Teams) is aligned here so that group-based assignee mappings are correct at import time.
Production migration in dependency order
We run production migration in this order: Users (validated against Jira), Projects (one per monday Board), Issues (Items with status and assignee resolved), Sub-tasks (Subitems with parent Issue key resolved), Issue Links (from the flattened dependency table), Comments (Updates mapped to Jira Comments), Time Tracking (work logs on Issues), and Labels (Tags mapped to Jira Labels). Each phase emits a row-count reconciliation report. Subitem fetching is scheduled across multiple days on Basic and Standard plans to stay within daily API call limits.
Cutover, validation, and automation handoff
We freeze monday Work Management writes during the cutover window, run a final delta migration of any records modified since the last sync, then switch Jira to system of record. We deliver the automation inventory document listing every monday Automation Center rule with its trigger, conditions, and actions plus a recommended Jira Automation for Jira equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild monday automations as Jira Automation rules inside the migration scope; that work is documented separately for the customer's Jira admin or an Atlassian partner.
Platform deep dives
monday Work Management
Source
Strengths
Weaknesses
Jira
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 monday Work Management and Jira.
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
monday Work Management: Complexity-based: 10,000,000 complexity points per minute per account. A per-minute request limit and a per-IP limit of 5,000 requests per 10 seconds also apply. 429 responses include a Retry-After header..
Data volume sensitivity
monday Work Management exposes a bulk API — large-volume migrations stream efficiently.
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 monday Work Management to Jira migration scoping. Not seeing yours? Book a call.
Walk through your monday Work Management to Jira migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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