Project Management migration
Field-level mapping, validation, and rollback between Project Drive and Asana. We move data and schema; workflows are rebuilt natively in Asana.
Project Drive
Source
Asana
Destination
Compatibility
7 of 12
objects map 1:1 between Project Drive and Asana.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Project Drive organizes work around a Gantt-centric hierarchy: Projects contain Tasks, Tasks contain Subtasks, and Milestones are date-flagged markers across the timeline. Asana does not use a Gantt-first model by default—it surfaces work in List, Board, and Timeline views, with Subtasks as collapsible child tasks and Milestones as a native marker type. We map the Project Drive hierarchy to Asana Projects with parent-referenced Tasks, preserving start dates, due dates, assignees, and status. Since Project Drive exposes no documented REST API, we extract source data via authenticated UI sessions and CSV downloads, adding schedule contingency for large export volumes. Gantt dependency links (Finish-to-Start ordering) are reconstructed from the visual layout and applied as explicit Asana dependency records. Budget and cost fields have no native Asana equivalent, so we create custom numeric fields on the Project or task level during schema setup. Workflows, automations, and calendar sync configurations do not migrate; we deliver a written inventory of every automation requiring rebuild in Asana's Rules or Forms, and your admin handles post-migration rebuild. Attachments migrate as file blobs with original filenames preserved and re-uploaded to Asana's file storage.
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 Asana, 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
Asana
Project
1:1Project Drive Projects map directly to Asana Projects. We extract project name, description, status, start date, and creation timestamp from the source export and create the corresponding Asana Project. Project Drive's project-level budget and cost fields migrate to Asana custom numeric fields (see Budget and Cost Fields row). Teams in Project Drive map to Asana Teams that we configure before project import.
Project Drive
Task
Asana
Task
1:1Project Drive Tasks map to Asana Tasks with name, description, assignee, start date, due date, and status preserved. We map Project Drive status values to Asana task completion state (completed tasks become Asana tasks marked complete). The Asana Task's parent Project is resolved before insert to satisfy the Project-Task relationship. Subtasks under each Task are processed as child tasks (see Subtask mapping).
Project Drive
Subtask
Asana
Task (child, parent_reference)
1:manyProject Drive Subtasks are child records under Tasks. In Asana, subtasks are modeled as Tasks with a parent_task field set to the containing Task's Asana gid. We flatten the Project Drive Subtask hierarchy into Asana Tasks, preserving the child relationship via the parent reference. If Project Drive subtasks have their own assignees, start dates, or due dates, those migrate as fields on the child Task. Sections from Asana are used to group related tasks if the customer's Project Drive workspace used section-style grouping.
Project Drive
Milestone
Asana
Milestone
1:1Project Drive Milestones are date-flagged markers within the Gantt view. Asana has a native Milestone feature that marks a Task as a milestone with a milestone boolean flag and a due date. We export Project Drive milestones as standalone Tasks with the milestone flag set, and the original milestone name and target date preserved. Milestones are inserted after all regular Tasks in the migration phase so their target dates can reference a valid project context.
Project Drive
User and Assignee
Asana
User and Assignee
1:1Project Drive user accounts and task assignee relationships map to Asana Users. We extract distinct users from all assignment fields, then match by email against the destination Asana workspace. Any Assignee without a matching Asana User goes to a reconciliation queue for the customer's admin to provision before the task import phase begins. Task assignment migrates as the Asana assignee field on each Task. Project Drive's cross-functional team assignment concept migrates to Asana Teams membership, with tasks assigned to individual team members.
Project Drive
Budget and Cost Fields
Asana
Custom Numeric Fields (Project or Task level)
lossyProject Drive stores budget and cost data as native project and task fields. Asana has no built-in financial tracking schema. We create custom numeric fields on the Project or Task level during schema setup (e.g., Total_Budget__c, Actual_Cost__c, Estimated_Cost__c) with appropriate precision matching the source data. The customer decides during scoping whether cost fields belong at the project level or task level. We flag any null or zero-value budget fields to ensure clean numeric imports without type errors.
Project Drive
Gantt Dependency (visual relationship)
Asana
Dependency (Asana dependency object)
lossyProject Drive displays task dependencies visually in Gantt view, but exported CSV data may flatten these relationships into ordering sequences. We reconstruct explicit Finish-to-Start dependency declarations from the Gantt visual layout, mapping each predecessor-successor pair to an Asana Dependency record. Dependencies are the last objects inserted in the migration phase to ensure both the source and dependent tasks exist in Asana before the link is created. Start-to-Start and Finish-to-Finish dependency types are preserved if the source data supports them.
Project Drive
Attachment (file blob)
Asana
Attachment (file upload)
1:1Project Drive attachments on tasks or projects are exported as binary file blobs with original filename and content type preserved. We re-upload each file to the corresponding Asana Task or Project using the Asana file upload endpoint, maintaining the original filename so that document context is not lost. Link integrity depends on Asana's file storage, which retains files associated with the workspace. Large attachments (over 100 MB per file) may require chunked upload handling.
Project Drive
Cross-functional Team Assignment
Asana
Team and Team Membership
lossyProject Drive assigns tasks to cross-functional teams with explicit team-task ownership. Asana's Team feature groups members and projects but does not assign tasks directly to teams—tasks are assigned to individual users. We map Project Drive team assignments to Asana Teams and create Team memberships for each team member. Task-level team assignment is represented by assigning the task to the team's primary contact or project lead, with the team name recorded in a custom field (e.g., Team_Name__c) for reference.
Project Drive
Calendar Events
Asana
Not migrated
1:1Project Drive integrates with external calendars but does not expose calendar event objects in its export. We do not migrate calendar entries. Teams re-establish calendar sync post-migration by connecting their calendar (Google Calendar or Outlook) to Asana via the native integration. Task due dates and start dates migrated from Project Drive appear as upcoming work in Asana's Calendar view without requiring separate calendar event migration.
Project Drive
Custom Fields (any)
Asana
Custom Fields
1:1Any custom fields defined in Project Drive beyond the standard name, description, assignee, start date, due date, and status migrate to Asana Custom Fields. We create the equivalent Asana custom field (text, number, date, enum, or checkbox depending on content type) during schema setup, then populate values during task and project import. Multi-select or enum-style custom fields from Project Drive map to Asana enum custom fields with the same option values.
Project Drive
Task Ordering and Sequence
Asana
Task Position (section or list order)
lossyProject Drive's Gantt view establishes task ordering within a project. Asana uses a position index for list ordering and sections for grouping. We capture the Gantt sequence order from the export and apply it as task position values in Asana's List view, using section boundaries where the source data indicates grouping. Tasks retain their position within the list so that the original sequencing is visible without requiring Gantt reconstruction.
| Project Drive | Asana | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Subtask | Task (child, parent_reference)1:many | Fully supported | |
| Milestone | Milestone1:1 | Fully supported | |
| User and Assignee | User and Assignee1:1 | Fully supported | |
| Budget and Cost Fields | Custom Numeric Fields (Project or Task level)lossy | Mapping required | |
| Gantt Dependency (visual relationship) | Dependency (Asana dependency object)lossy | Fully supported | |
| Attachment (file blob) | Attachment (file upload)1:1 | Fully supported | |
| Cross-functional Team Assignment | Team and Team Membershiplossy | Fully supported | |
| Calendar Events | Not migrated1:1 | Not supported | |
| Custom Fields (any) | Custom Fields1:1 | Mapping required | |
| Task Ordering and Sequence | Task Position (section or list order)lossy | 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
Asana gotchas
Automation rules have no export representation
API rate limits cap bulk migration throughput
Portfolios are view-only objects that do not hold data
Custom field enum options cannot be updated via API
Subtasks do not appear in project views by default
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the Project Drive workspace through authenticated UI sessions, extracting project count, task volume, subtask nesting depth, milestone count, distinct user accounts, custom fields, and budget or cost field definitions. We also review the Asana destination workspace—team structure, existing projects, and any custom fields already in use. The discovery output is a written migration scope document that defines the object mapping, dependency reconstruction strategy, budget field placement, and a per-phase record count estimate. This phase runs one to one-and-a-half weeks.
Schema design and field mapping
We design the Asana destination schema to receive the migrated data. This includes creating custom numeric fields for budget and cost data, creating custom fields for any Project Drive custom fields that have no Asana standard equivalent, defining Asana Teams to mirror the Project Drive cross-functional team structure, and deciding on section naming to represent grouping that existed in Project Drive. We build the schema in an Asana Sandbox or a dedicated test project so that the customer can validate field placement and naming before production migration begins.
Dependency reconstruction from Gantt visual data
We analyze the Project Drive Gantt visual layout from the exported data to extract dependency relationships. This involves parsing the task ordering sequence from the Gantt view export, identifying predecessor-successor pairs based on start date and end date adjacency, and constructing an explicit dependency graph with Finish-to-Start as the default relationship type. Any ambiguous or circular dependencies are flagged for the customer's project manager to resolve. The reconstructed dependency graph is reviewed and approved before insertion into Asana.
Source extraction via authenticated UI sessions
Because Project Drive has no documented REST API, we perform data extraction through authenticated UI sessions. We navigate the application to trigger structured CSV exports for Projects, Tasks, Subtasks, Milestones, and Attachments. We run extraction in manageable chunks to avoid session timeouts and preserve export integrity. Each extraction run produces a reconciliation count against the discovery estimate. Attachment blobs are downloaded separately with filename and content type metadata preserved. This phase is the highest schedule risk for large accounts, and we build timeline contingency accordingly.
Sandbox migration and validation
We run a full migration into a sandbox Asana project or test workspace using the extracted and transformed data. The customer's project manager or admin reviews the migrated projects, tasks, subtasks, milestones, and dependencies against the Project Drive source—spot-checking 25-50 records for field accuracy, hierarchy correctness, and dependency validity. Any mapping corrections, field type issues, or dependency reconstructions that need adjustment happen in this phase. Sign-off on the sandbox review gates the production migration start date.
Production migration in dependency order
We execute the production migration in record-dependency order: Projects first (to establish the container), then Tasks and Milestones (with parent-project reference resolved), then child Subtasks (with parent-task reference resolved), then Dependencies (to ensure both predecessor and successor tasks exist), then Custom Field values and Budget fields, then Attachments. We use the Asana Bulk API with batching, exponential backoff on rate-limit responses, and per-phase row-count reconciliation. The Owner and Assignee resolution queue from the discovery phase must be cleared before the task import phase begins.
Cutover, delta sync, and automation handoff
We freeze writes in Project Drive during the cutover window, run a delta migration to capture any records modified during the migration phase, then transition Asana to the system of record. We deliver a written inventory of all Project Drive automations, rules, and calendar sync configurations requiring rebuild in Asana. We provide a one-week hypercare window to address reconciliation issues raised by the team post-go-live. We do not rebuild Project Drive automations as Asana Rules within migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Project Drive
Source
Strengths
Weaknesses
Asana
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Project Drive and Asana.
Object compatibility
3 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.
Category
FAQ
Answers to the questions buyers ask most during Project Drive to Asana migration scoping. Not seeing yours? Book a call.
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