Step-by-step migration from Jira to monday Dev with a 5-phase plan and checklist

    Migrating from Jira to monday Dev – the 2026 Step-by-Step Guide

    30. April 20267 min read
    Till Freitag

    TL;DR:A Jira-to-monday-Dev migration takes 4–8 weeks for 50–200 engineers. Keys are: clean status mapping, pilot team first, ruthlessly cut custom fields, hard cutover instead of parallel run."

    Till Freitag

    Why migrations fail – and how to prevent it

    Most tool migrations don't fail on technology. They fail on three things:

    1. Lift-and-shift mentality: "Let's rebuild Jira 1:1 in monday." Wrong. You're just bringing the old problems with you.
    2. Too long parallel run: "Let's keep Jira running for 6 months in case something breaks." Wrong. Nobody maintains two systems – data drifts apart.
    3. No pilot team: "Let's migrate everyone at the quarter break." Wrong. Pilot first, learn, then scale.

    This guide is based on 20+ real Jira-to-monday-Dev migrations we've done at Pacta. Works for teams from 20 to 500 engineers.

    Realistic timeline

    Team sizePrepPilotRolloutHypercareTotal
    20–50 engineers1 week1 week1 week1 week~4 weeks
    50–150 engineers2 weeks2 weeks2 weeks2 weeks~8 weeks
    150–500 engineers3 weeks3 weeks4 weeks4 weeks~14 weeks

    ⚠️ Anyone saying "we'll migrate over a weekend" has never done a real migration. Plan honestly.


    Phase 1 – Preparation & discovery

    Step 1: Jira inventory

    Before you migrate anything, you need to know what you have. Export from Jira:

    • All projects (with owner, issue count, last activity)
    • All custom fields (with usage per project)
    • All workflows (with status transitions)
    • All automations (Atlassian Automation, ScriptRunner, etc.)
    • All plugins and their data (Tempo, Structure, BigPicture, etc.)

    Step 2: Cut aggressively

    This is the most important step. 80% of custom fields are never used. 60% of workflows are zombies.

    Rules of thumb:

    • Custom field not used in last 90 days → drop
    • Workflow run less than 50× per year → consolidate
    • Projects with < 5 issues in 6 months → archive instead of migrate

    Result: often 70% less complexity before the migration even starts.

    Step 3: Define the target architecture in monday Dev

    monday Dev thinks differently than Jira:

    Jiramonday Dev
    ProjectWorkspace + Boards
    EpicItem in roadmap board
    Story / TaskItem in sprint board
    Sub-taskSub-item
    Custom fieldsColumns
    Workflow statusStatus column (labels)
    SprintSprint group or sprint feature
    ComponentTag or dedicated column

    Recommendation: One workspace per squad, with sprint board + bug board + roadmap board inside. Don't try to fit everything into a single board.

    Step 4: Stakeholder mapping

    Who must be involved before migration?

    • Engineering leads of all squads
    • Product managers
    • QA / testing
    • Security & compliance (audit logs)
    • Finance (license costs, contracts)
    • Tooling/DevOps (integrations with GitHub, Slack, CI/CD)

    Phase 2 – Pilot with one team

    Why pilot first?

    The pilot team validates your architecture with real data and real people. What works on a whiteboard often fails in daily standup.

    Pilot team selection

    Pick a team that:

    • Has 5–10 engineers (big enough for meaningful testing, small enough to iterate fast)
    • Is open to tools (no "we've always done it this way")
    • Isn't in the most critical release sprint
    • Has representative workflows (sprint + bug + roadmap)

    What gets tested in the pilot

    • ✅ Data migration: All issues land cleanly
    • ✅ Sprint workflow: Planning, standup, review work
    • ✅ Integrations: GitHub PR linking, Slack notifications, CI/CD status
    • ✅ Reporting: Burndown, velocity, cycle time
    • ✅ Permissions: Who sees what?
    • ✅ Mobile app: Works on the go?

    Pilot success criteria

    Define clear criteria before the pilot. Example:

    • Sprint velocity stable or better after 2 sprints
    • No critical bugs in the migration
    • 80% team approval in retro
    • All integrations functional

    Phase 3 – Data migration (technical)

    Option A: Native tools (for < 5,000 issues)

    monday has a Jira importer in the marketplace that handles basics:

    • Issues with title, description, status, priority
    • Assignees (if email matches)
    • Labels and components
    • Comments (limited)

    Limitations: Custom fields, sub-tasks, attachments and workflow history are often lost.

    Option B: API-based with Make/n8n (for 5,000–50,000 issues)

    For more control, build a migration flow:

    1. Jira REST API → JSON export of all issues
    2. Transformation in Make/n8n: field mapping, status conversion, sub-task resolution
    3. monday GraphQL API → bulk import via create_item mutations
    4. Validation: diff check between source and target

    Tip: Migrate in batches of 500 items, with retry logic. Both APIs have rate limits.

    Option C: Custom migration (for 50,000+ issues or high complexity)

    For large migrations, a dedicated migration service is worth it – we regularly do this with Python scripts hitting both APIs, including attachment transfer and comment threading.

    What you should ALWAYS migrate manually

    • Dashboards – the concepts differ too much, automated migration produces garbage
    • Complex automations – rebuild them in monday, often much simpler
    • Permission schemes – security-critical, validate manually

    Phase 4 – Cutover & rollout

    Hard cutover instead of parallel run

    Set a cutover date (ideally Friday evening after sprint end). From Monday on, the whole team works in monday Dev. Jira is read-only for 30 days as reference, then archived.

    Why no parallel run? Because people take the path of least resistance. With both tools running, nobody maintains monday Dev properly – and after 3 months you have two broken systems.

    Rollout sequence

    1. Pilot team (week 1–2)
    2. Early adopters (week 3–4): 2–3 more open teams
    3. Mainstream (week 5–8): rest of engineering org
    4. Stragglers (week 9+): teams with complex setups or compliance needs

    Training is mandatory

    Nobody starts on monday Dev without at least 2 hours of training:

    • 1h live demo with the squad
    • 1h self-study (monday Academy or your internal docs)
    • Office hours in the first 2 weeks

    Phase 5 – Hypercare

    The first 2–4 weeks after cutover are critical. Plan for hypercare:

    • Dedicated Slack channel (#monday-dev-help) with fast response time
    • Daily office hours (15 min) with the migration lead
    • Weekly retro: what works? what's annoying? what needs fixing?
    • KPI tracking: adoption, sprint velocity, time-to-resolution

    If all KPIs are green after 4 weeks: migration successful. End hypercare, start normal ops.


    The migration checklist

    Preparation (week 1–2)

    • Jira inventory complete (projects, custom fields, workflows, automations)
    • Aggressive reduction done (target: -70% complexity)
    • Target architecture in monday Dev documented
    • Stakeholder mapping complete
    • Pilot team selected and briefed
    • Migration lead assigned
    • Jira backup created

    Pilot (week 3–4)

    • Workspace for pilot team set up
    • Sprint, bug and roadmap boards configured
    • Pilot team's data migrated
    • GitHub/Slack/CI integrations active
    • Pilot team trained
    • 2 sprints completed in monday Dev
    • Retro held, success criteria validated

    Data migration (week 5)

    • Migration method chosen (importer / Make / custom)
    • Field mapping documented
    • Test migration on staging done
    • Source/target diff check
    • Attachment transfer validated
    • Permissions set in monday Dev

    Cutover (week 6)

    • Cutover date communicated (min. 2 weeks ahead)
    • Final migration on cutover weekend
    • Jira set to read-only
    • All teams trained
    • Slack hypercare channel live

    Hypercare (week 7–10)

    • Daily office hours
    • Weekly retros
    • KPI tracking
    • Adoption > 90% after 4 weeks
    • Jira archived after 30 days

    Best practices from 20+ migrations

    ✅ Do

    • Reduce before migration, not after. Otherwise you carry baggage.
    • Take the pilot seriously. Better 2 extra weeks in pilot than 6 months of rollout chaos.
    • Hard cutover date. Communicate it early, communicate it often.
    • Training is mandatory, not a recommendation.
    • Budget for hypercare. This isn't "gold plating", it's required.

    ❌ Don't

    • No lift-and-shift. Use the chance to simplify workflows.
    • No endless parallel run. Max 30 days read-only.
    • No migration in Q4 or before major releases.
    • No migration without an executive sponsor. Without backing, the project tips over at the first resistance.
    • Don't try to replace every Atlassian plugin 1:1. You probably don't need most of them in monday Dev.

    When you need help

    If any of these apply, get external support (us or other monday partners):

    • 100+ engineers
    • Complex compliance requirements (ISO 27001, SOC 2, FDA)
    • Deep Atlassian plugin dependency (Tempo, Structure, ScriptRunner)
    • Multi-region setup with data residency requirements
    • Migration parallel to other major tool changes

    🚀 Pacta regularly migrates engineering orgs from Jira to monday Dev – including technical migration, workflow redesign and team onboarding. Free 30-min call: Book now.


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