How do I move our projects from one project management tool to another?

Treat it as a small data-and-workflow migration, not just an export/import. The exact steps depend on the tools, because different import routes preserve different things—especially comments, attachments, custom fields, and task relationships. (itechguides.com)

A practical sequence

1. Set the scope. List what’s moving: active and archived projects, tasks and subtasks, owners, dates, statuses, dependencies, comments, files, time records, custom fields, and permissions. Decide what can be left behind or archived.

1. Audit your workflows. Note the templates, automations, reports, integrations, and team practices you rely on. Some may need to be rebuilt rather than migrated.

1. Check the path for your specific tools. Look for a native importer or migration guide first; otherwise, investigate CSV exports, APIs, or a migration service. Confirm which data and relationships each route actually supports before committing.

1. Map fields and users. Make a simple source-to-destination table—for example, old status → new status, old priority → new priority, old user → new account. Flag anything with no direct equivalent and decide how to handle it.

1. Back up the source. Export a copy and keep the old tool available during the move. Don’t assume an export contains everything; attachments and linked files may need separate handling.

1. Run a pilot. Import a few representative projects, including one with subtasks, dependencies, custom fields, or lots of files. Check the result against the source before migrating the rest. (teamwork.com)

1. Plan the cutover. Choose a point when people stop editing the old system, or agree on how to capture changes made during the move. Then migrate the remaining projects and tell everyone where new work should happen.

1. Validate and support the rollout. Compare project and task counts; spot-check owners, dates, statuses, links, and attachments; test permissions, reports, and integrations. Give teams brief, role-specific guidance.

1. Retire the old tool only after sign-off. Keep it read-only or otherwise accessible for reference until you’re confident nothing important was missed.

A useful first deliverable: a spreadsheet with columns for project, owner, migration priority, data to preserve, destination, validation owner, and issues to resolve.

If you share the current tool, destination tool, and roughly how many projects/users you have, I can suggest a more specific migration plan.

Moving projects between tools usually goes in phases: audit, plan, map, move a test batch, then cut over. Most of the steps below are general, since the exact export and import process depends on which two tools you're using.

1. Audit what you have. Take stock of the real state of your current tool, not the state you assume it's in. One guide suggests listing every active and archived project, custom field, automation, integration, and permission setting. Decide what actually needs to move, and leave stale or duplicate items behind so you don't clutter the new system.

2. Set goals and pick a timeline. Define what success looks like, such as no lost data, little downtime, and full team adoption. Schedule the switch for a quieter period, and assign someone to own the migration and make the decisions.

3. Map fields between the tools. Your old tool's statuses, custom fields, assignees, and task hierarchy won't line up one-to-one with the new tool's. Write down how each one will translate. Field mapping is the step most likely to prevent data loss and rework later.

4. Export and clean the data. Export from the old tool (CSV or Excel is common), then check the file for errors and duplicates before importing. Preserve attachments and comments separately if the import doesn't carry them over.

5. Test with a small batch. Migrate one project first, or a representative sample. Check that tasks, dates, owners, attachments, and dependencies arrived intact. Expect to fix mapping errors and re-run the import a few times.

6. Move the rest, then run the old tool in parallel. Migrate the remaining projects in batches, starting with the teams that are most ready. Keeping the old tool read-only for a few weeks lets you catch gaps without blocking the team. If work is in progress and you can't freeze it, a two-way sync tool can keep both systems aligned during a phased move, though it adds setup and testing work.

7. Train the team and cut over. Show people where things now live, set the new tool as the single source of truth, and switch the old one to read-only or archive it once you've confirmed nothing is missing.

Tools that can help: Vendor-specific migration utilities and third-party services exist for many common pairs. Check whether your target tool has an official importer for your source tool, since that's usually the simplest route.

Migrating your projects to a new management tool is a significant undertaking that requires careful planning to avoid data loss and team disruption. The most successful migrations avoid "big-bang" cutovers in favor of a phased approach.

Here is a recommended framework for moving your projects effectively.

1. Plan and Audit (The Preparation Phase)

Before moving any data, you must decide what is actually worth bringing over.

• Assess your data: Not everything needs to move. Classify your data into three buckets:
  • Active work: Projects that must move and remain fully functional.
  • Reference history: Projects that are completed but may need to be searchable; keep these in a read-only archive or export them to a stable format (like CSV/PDF).
  • Stale data: Projects that are no longer needed; leave these behind.
• Inventory your "Invisible Wiring": Document current integrations, recurring reports, and automations. These are often forgotten and break during a move.
• Define success: Set clear timelines and KPIs so you know when the migration is complete and successful.

2. Choose Your Migration Strategy

Avoid a "big-bang" migration where you try to move everything at once, as this often leads to data loss and confusion. Instead, consider:

• Phased Migration: Transition teams or departments in stages. This allows you to learn from early batches and adjust your process.
• Two-Way Sync: Use synchronization tools to keep your old and new systems updated simultaneously during the transition period. This prevents "dual entry" work and ensures no tasks are missed.
• New Project Start: For some organizations, it is cleanest to finish existing projects in the old tool and start only new projects in the new tool.

3. Execution and Testing

Data migration is rarely a simple "copy-paste" operation; data structures will differ between tools.

• Test with a pilot: Perform a test migration with a single, completed project. Review how the data maps (tasks, subtasks, comments, attachments) before attempting to move active work.
• Automate where possible: Use professional migration software if you have a high volume of data to ensure data integrity and save time.
• Clean your data: Use this opportunity to remove duplicate records or incomplete data so you don't "import" existing inefficiencies into your new system.

4. Cutover and Adoption

• Set a hard cutover date: Once testing is successful, designate a specific time when the new tool becomes the "source of truth".
• Reconcile active work: Assign someone to compare the old and new systems immediately after the cutover to ensure all "in-flight" tasks are accounted for.
• Train your team: Migration fails if the team doesn't know how to use the new system. Provide documentation and training sessions specifically tailored to their new workflows.

Summary Checklist for Success

A final piece of advice: A migration is judged by what still works a month later, not by how fast you moved the data. Take the time to ensure your team is comfortable in the new environment before decommissioning the old one.

Treat the move as a small data-migration project: plan what to keep, test the transfer, and verify it before your team switches over.

1. Inventory what you have. List projects, tasks, owners, dates, statuses, subtasks, dependencies, comments, files, custom fields, permissions, and reports. Decide what should move, what can be archived, and what the new tool can represent.
2. Check both tools’ migration options. Prefer a built-in migration tool when it supports your setup. Otherwise, export and import using a supported format such as CSV or JSON. Check the vendor’s documentation for what does—and doesn’t—transfer. For example, Asana supports project exports to CSV or JSON and task imports via CSV, but CSV import adds tasks rather than updating existing ones.¹²
3. Map and clean the data. Match old fields to new ones, standardize names and dates, resolve duplicate or inactive users, and confirm each assignee has an account in the destination. Identify fields or workflows that need to be recreated manually.
4. Run a pilot. Choose one representative project, export it, import it into a test area, and check the results. Confirm task counts, owners, dates, parent–subtask relationships, dependencies, custom fields, and attachments. Import previews can help catch column-mapping issues before completing an import.²
5. Plan for anything that won’t transfer. Comments, attachments, images, completed status, automations, and permissions may need separate handling. Asana, for example, notes that some of these items aren’t included in certain CSV exports.³
6. Schedule the final move. Tell the team when to stop editing in the old tool, take a final export, import the latest data, and set a clear date when the new tool becomes the source of truth. Keep the old tool available read-only for a while if practical.
7. Verify and support the switch. Have project owners check their projects, fix import issues, and show the team where key workflows live in the new tool. Keep the original exports as a backup.

For a simple setup, a spreadsheet-based export/import may be enough. For many projects, complex permissions, or lots of linked data, use a dedicated migration tool or get help from the vendors; run a test migration and review vendor checklists first.⁴

Sources: ¹ Asana project import/export · ² Preparing data for Asana CSV import · ³ Asana guidance on moving project data · ⁴ Atlassian Jira migration preparation