Project Management migration
Field-level mapping, validation, and rollback between Project Drive and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.
Project Drive
Source
monday Work Management
Destination
Compatibility
7 of 12
objects map 1:1 between Project Drive and monday Work Management.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Project Drive to monday.com is a structural migration from a Gantt-centric, hierarchical project structure to a board-based Work OS. Project Drive does not publish a public API, so all extraction uses authenticated CSV exports via the application UI. We script authenticated export sessions to extract Projects, Tasks, Subtasks, Milestones, Users, Budget fields, and Attachments. The most significant migration challenge is reconstructing task dependencies: Project Drive displays Gantt sequencing visually but may export dependency links in a flattened format. We parse the Gantt visual ordering and reconstruct explicit Finish-to-Start dependency relationships in monday.com. Budget and cost fields have no native monday.com equivalent; we map them to custom number columns and flag a Formula or Dashboard strategy for the customer's decision. Subtasks collapse to monday.com subitems with a parent-reference field. We do not migrate Project Drive automations, custom workflows, or calendar integrations; these require manual rebuild in monday.com and we provide a written inventory as part of handoff.
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.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Project Drive 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.
Project Drive
Project
monday Work Management
Board
1:1Project Drive Projects map directly to monday.com Boards. The Project name becomes the Board title, description maps to the Board description field, and project status (active, archived, on hold) maps to a Board status column we create during migration. Project Drive's project-level cost and budget fields are flagged for mapping to custom number columns on the Board (see Budget mapping). We create Boards using the monday.com REST API with the workspace and folder location specified during scoping.
Project Drive
Task
monday Work Management
Item
1:1Project Drive Tasks map to monday.com Items within the target Board. We preserve task name, description (as Item name and main text column), assignee (as person column), start date, due date, and status. Project Drive status values map to monday.com Status column options. Task ordering within the Gantt sequence is captured from the visual layout and reconstructed using monday.com's group ordering and optional dependency column.
Project Drive
Subtask
monday Work Management
Subitem
1:manyProject Drive Subtasks nest under Tasks. We map each subtask as a monday.com Subitem attached to its parent Item. The parent-child relationship is maintained via monday.com's native subitem structure. Description, assignee, start date, and due date carry over to the subitem. Teams that prefer flat item lists can instead map subtasks as separate Items with a custom parent-reference column; the customer chooses the strategy during scoping.
Project Drive
Milestone
monday Work Management
Item with Date Column flag
lossyProject Drive Milestones are date-flagged markers within the Gantt view. They export as standalone task records with a milestone boolean flag. We create each milestone as a monday.com Item with the milestone date in a Date column, a Status column marked as Milestone, and a Name column carrying the milestone title. If the destination monday.com account has the Sprint or milestone app enabled, we apply the milestone tag accordingly.
Project Drive
User
monday Work Management
User
1:1Project Drive user accounts map to monday.com Workspace Members by email address. We extract every distinct assignee from tasks and match by email against the destination monday.com account's user table. Any assignee without a matching monday.com User goes to a reconciliation queue for the customer's admin to provision before record import. We do not migrate user role or permission data beyond assignee identity.
Project Drive
Gantt Dependency
monday Work Management
Dependency Column
lossyProject Drive displays task dependencies visually in Gantt view, but exported CSV data may flatten these into ordering position rather than explicit dependency links. We parse the exported Gantt visual layout, reconstruct the dependency graph (identifying predecessor-successor pairs), and apply them as monday.com Dependency column entries on the target Items. Monday.com supports Finish-to-Start, Start-to-Start, Finish-to-Finish, and Start-to-Finish dependency types; we default to Finish-to-Start unless the source data indicates otherwise. This reconstruction step is the most time-intensive part of Gantt-heavy migrations.
Project Drive
Budget and Cost Fields
monday Work Management
Custom Number Columns or Formula
1:1Project Drive stores budget and cost data as native project-level fields, but monday.com has no equivalent native field. We map each Project Drive budget field to a custom Number column on the destination Board. The customer chooses during scoping whether to use simple number columns (for manual updates) or to configure Formula columns that compute variance, remaining budget, and percentage consumed. We flag any null or zero budget values in the source export for customer confirmation before loading.
Project Drive
Attachment
monday Work Management
File Column or External URL
1:1Project Drive task and project attachments export as binary file blobs with original filename and content type preserved. We download each attachment, upload to the customer's monday.com file storage or to a connected Google Drive or Dropbox folder (depending on the customer's preference), and create a monday.com File column entry or URL column entry linking back to the file. File column integration requires that the customer's monday.com account has the relevant integration (Google Drive or Dropbox) connected. We do not migrate file version history.
Project Drive
Task Start Date and Due Date
monday Work Management
Date Column
1:1Project Drive task start_date and due_date fields map directly to monday.com Date columns. If the source export provides only due dates without explicit start dates, we infer start_date from the Gantt sequence ordering or from the predecessor dependency chain. Both dates display in the monday.com Timeline view once the Dependency column is configured.
Project Drive
Task Status
monday Work Management
Status Column
lossyProject Drive task status values (e.g., Not Started, In Progress, On Hold, Complete) map to monday.com Status column options. We extract the distinct status values from the source export and create matching Status column options in the destination Board during schema setup. Status color assignments follow monday.com conventions (grey for Not Started, blue for In Progress, green for Complete, red for blocked).
Project Drive
Task Priority
monday Work Management
Priority Column or Label
1:1Project Drive priority values map to a monday.com Labels column or a Priority column if the destination Board template includes one. Priority labels (High, Medium, Low) become color-coded Labels. If Project Drive stores priority as a numeric score, we convert to a three-tier label system during transformation.
Project Drive
Project Timeline (start/end)
monday Work Management
Timeline Column
lossyProject Drive project-level start and end dates map to a monday.com Timeline column on the Board. The Timeline column groups Items by their date ranges and displays them in the Timeline view. We extract the earliest task start_date as the project start and the latest task due_date as the project end, or use the project-level dates if Project Drive exposes them directly in the export.
| Project Drive | monday Work Management | Compatibility | |
|---|---|---|---|
| Project | Board1:1 | Fully supported | |
| Task | Item1:1 | Fully supported | |
| Subtask | Subitem1:many | Fully supported | |
| Milestone | Item with Date Column flaglossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Gantt Dependency | Dependency Columnlossy | Fully supported | |
| Budget and Cost Fields | Custom Number Columns or Formula1:1 | Mapping required | |
| Attachment | File Column or External URL1:1 | Fully supported | |
| Task Start Date and Due Date | Date Column1:1 | Fully supported | |
| Task Status | Status Columnlossy | Fully supported | |
| Task Priority | Priority Column or Label1:1 | Fully supported | |
| Project Timeline (start/end) | Timeline Columnlossy | 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.
Project Drive gotchas
No public API documented for bulk data export
Budget and cost fields require schema mapping at destination
Gantt sequencing does not always preserve inter-task dependency details
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
Discovery and export feasibility assessment
We audit the Project Drive instance via authenticated UI sessions to identify Projects, Tasks, Subtasks, Milestones, Users, Budget fields, and Attachment count. Because Project Drive has no API, we evaluate the application's CSV export capability: maximum records per export, export format (flat vs hierarchical), and whether the export includes all required fields or requires multiple passes. We produce a written migration scope document that includes the export feasibility assessment, estimated extraction time per batch, and a list of any source data gaps (e.g., missing assignee emails, null budget fields) requiring customer clarification before extraction begins.
Authentic export extraction
We run authenticated UI-based CSV export sessions in batches, scripting the extraction to navigate through Projects, extract Tasks with all fields, pull Subtasks separately for later nesting, export Milestones, and batch-download Attachments to local storage. Each export batch is validated for completeness (row count, column headers, null rates). Attachments are downloaded with filename and content-type metadata preserved. We run extraction sessions against a staging copy of the source environment if available to avoid impacting production performance during business hours.
Dependency reconstruction and transformation
We parse the exported Gantt visual ordering data and reconstruct the explicit dependency graph. For each task with a predecessor in the ordering sequence, we identify the predecessor task and declare the appropriate monday.com dependency type (defaulting to Finish-to-Start). Tasks with no clear predecessor receive no dependency declaration. We also transform Subtasks into a subitem-ready format, map Budget fields to custom number column names, and resolve assignee emails against the monday.com user table. All transformation logic is documented in the migration runbook before the monday.com load begins.
monday.com schema setup
We create the destination Boards in monday.com using the REST API, including all custom columns (Status, Person, Date, Timeline, Number for budget fields, Dependency). We configure Status column options to match the distinct values from the source export, create Label options for priority if applicable, and set up the board structure (groups, folders, workspace location) per the customer's naming convention. The schema setup runs in a staging workspace first for customer review before production migration begins.
Production load and subitem nesting
We load Projects as Boards, then load Items with all mapped fields into each Board using the monday.com REST API with rate-limit handling and exponential backoff. After all Items are loaded, we run the subitem creation pass to attach Subtasks to their parent Items. The dependency pass follows, creating Dependency column entries for each reconstructed predecessor-successor pair. Budget fields load as number column values. Attachments load as File column entries or URL column entries per the customer's chosen storage strategy. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Project Drive write access during cutover, run a final delta pass to capture any records modified during the migration window, then enable monday.com as the system of record. We deliver the automation inventory document listing any identified Project Drive automation rules with recommended monday.com Automations equivalents for the customer's admin to rebuild. We support a one-week hypercare window to resolve any data quality issues reported by the customer's team. We do not rebuild Project Drive automations as monday.com Automations inside the migration scope; that work is handled by the customer's admin or a monday.com implementation partner.
Platform deep dives
Project Drive
Source
Strengths
Weaknesses
monday Work Management
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 4 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 Project Drive and monday Work Management.
Object compatibility
4 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
Project Drive: Not publicly documented.
Data volume sensitivity
Project Drive 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.
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FAQ
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