Project Management migration

Migrate from monday Work Management to Jira

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 logo

monday Work Management

Source

Jira

Destination

Jira logo

Compatibility

91%

10 of 11

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

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Try the reverse

Jira
monday Work Management

Overview

What this migration involves

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.

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

monday Work Management logo

monday Work Management

What's pushing teams away

  • Per-seat pricing scales painfully: a 30-person team on Pro pays $600+ monthly, and mandatory seat minimums on Enterprise tiers mean paying for seats that sit empty.
  • Automation rules hit hard limits on lower tiers — teams expecting Jira-class workflow automation discover formula complexity gates and action caps on Basic plans.
  • Subitems behave inconsistently: they cannot be exported, bulk-edited via API, or queried in the same way as top-level Items, breaking CRM-style use cases.
  • Teams with complex cross-board dependencies find the dependency column limited — no critical path, no advanced scheduling, no auto-rescheduling when upstream dates shift.
  • A 23% year-over-year uptick in migration inquiries points to a pattern: teams outgrow monday.com's PM capabilities when they need engineering-level workflow control.

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 monday Work Management objects map to Jira

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

maps to

Jira

Project

1:1
Fully supported

monday 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

maps to

Jira

Issue

1:1
Fully supported

monday 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

maps to

Jira

Sprint or Label

lossy
Fully supported

monday 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

maps to

Jira

Custom Field

1:1
Fully supported

monday 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

maps to

Jira

Sub-task

1:1
Fully supported

monday 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

maps to

Jira

Issue Link

1:1
Fully supported

monday 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

maps to

Jira

User

1:1
Fully supported

monday 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

maps to

Jira

Comment

1:1
Mapping required

monday 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

maps to

Jira

Attachment

1:1
Mapping required

monday 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

maps to

Jira

Labels

1:1
Fully supported

monday 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

maps to

Jira

Time Tracking

1:1
Mapping required

monday 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.

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.

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

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

  • Subitems require per-Item API calls with no bulk endpoint

    monday.com's API does not expose a bulk endpoint for Subitems — each Subitem must be retrieved by querying its parent Item individually. For a board with 500 Items averaging 3 Subitems each, this requires 1,500 secondary API calls on top of the initial Item fetch. On Basic (1,000 daily calls) or Standard plans, this can exhaust the daily limit mid-migration and halt the run. We handle this by scheduling subitem fetches during off-peak hours, pacing to 5 calls per minute, and resuming the following day when the limit resets. Teams with heavy subitem usage on lower tiers should consider upgrading to Pro before migration begins.

  • Dependency columns produce no bulk link export

    monday's Dependency column stores predecessor-successor relationships per Item, but the API returns these as Item ID pairs without board-of-origin context. Cross-board dependencies — where an Item on Board A depends on an Item on Board B — require a separate board-of-origin lookup per link before the Jira Issue Link can be created. We flatten all dependency pairs into a flat relationship table and resolve board-of-origin during extraction. Any Item ID in the dependency table that is not included in the migration is flagged as a broken reference and preserved as a URL comment rather than a live link.

  • Automations and integrations do not export via API

    monday Automation Center rules and third-party integration connections (Slack notifications, Zoom meeting links, Salesforce syncs, GitHub webhooks) are stored server-side and are not returned by the monday.com API. When migrating away, all automation logic must be manually rebuilt in Jira. We run a pre-migration UI export of all automation rules and deliver a written inventory listing each rule's trigger, conditions, and actions with a recommended Jira Automation equivalent. Saved views are similarly not exposed via API — teams should expect to spend 30-60 minutes recreating their preferred board views in Jira.

  • monday column types lack direct Jira equivalents for complex fields

    monday's Formula column (computes values from other columns), Link column (URL with preview), and Vote column have no Jira native equivalent. Formula outputs that the UI computes dynamically often return null from the API unless the formula column is explicitly requested in the query — we inspect all columns on each board and handle nulls by skipping the field or mapping a default. The Link column migrates as a Jira Text field with URL formatting. Teams relying heavily on Formula columns for derived metrics should validate these values post-migration.

  • monday Groups and Jira Sprints are structurally different

    monday Groups are horizontal row containers representing status or phase buckets — they are not time-boxed sprints. Jira Sprints are time-boxed iterations attached to a Scrum board. If monday boards use Groups named by sprint (Sprint 1, Sprint 2) rather than status (To Do, In Progress), we cannot automatically create Jira Sprints from Groups; sprint creation requires Jira project configuration with a Scrum board. We document the mismatch during discovery and either map groups to Jira Labels (preserving the sprint name) or instruct the customer's Jira admin to create sprints manually before the migration window.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

monday Work Management logo

monday Work Management

Source

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.
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. 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 monday Work Management and Jira.

  • 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

    C

    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

    A

    monday Work Management exposes a bulk API — large-volume migrations stream efficiently.

Estimator

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

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts with under 200 Boards, 10,000 Items, and moderate subitem usage. Migrations with heavy subitem usage (requiring per-Item API calls), cross-board dependency graphs, or multiple workspaces move to eight to twelve weeks because of the API call volume and dependency resolution work. Jira Sandbox validation adds one to two weeks to the schedule regardless of size.

Adjacent paths

Related migrations to explore

Ready when you are

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