Project Management migration

Migrate from Project Drive to Asana

Field-level mapping, validation, and rollback between Project Drive and Asana. We move data and schema; workflows are rebuilt natively in Asana.

Project Drive logo

Project Drive

Source

Asana

Destination

Asana logo

Compatibility

58%

7 of 12

objects map 1:1 between Project Drive and Asana.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Project Drive logo

Project Drive

What's pushing teams away

  • The first-timer experience is steep — reviewers consistently report needing dedicated time to become comfortable with the platform.
  • Pricing is described as on the higher side for the feature set, prompting teams to evaluate lower-cost alternatives.
  • Feature gaps in integrations mean teams using other tools must resort to manual handoffs or workarounds.
  • The platform is less user-friendly than competitors for onboarding, creating friction when adding new team members quickly.

Choosing

Asana logo

Asana

What's pulling them in

  • Organizations with distributed teams cite Asana's multiple project views (List, Board, Calendar, Timeline) as the primary reason for adoption, allowing each team member to work in their preferred interface without changing the underlying data.
  • The platform's 100+ native integrations with tools like Slack, Google Drive, Salesforce, and Microsoft Teams reduce context-switching and keep work synchronized across the stack.
  • Small teams and non-profits value the free plan's generous limits: unlimited projects and tasks for up to 15 team members with basic views, enabling teams to validate fit before committing to a paid tier.
  • Marketing and creative teams specifically praise Asana's visual project organization, reporting dashboards, and timeline views for managing cross-functional campaign workflows.
  • Project managers report that Asana's dependency management and workload views help surface bottlenecks before they derail deadlines.

Object mapping

How Project Drive objects map to Asana

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

maps to

Asana

Project

1:1
Fully supported

Project 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

maps to

Asana

Task

1:1
Fully supported

Project 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

maps to

Asana

Task (child, parent_reference)

1:many
Fully supported

Project 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

maps to

Asana

Milestone

1:1
Fully supported

Project 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

maps to

Asana

User and Assignee

1:1
Fully supported

Project 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

maps to

Asana

Custom Numeric Fields (Project or Task level)

lossy
Mapping required

Project 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)

maps to

Asana

Dependency (Asana dependency object)

lossy
Fully supported

Project 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)

maps to

Asana

Attachment (file upload)

1:1
Fully supported

Project 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

maps to

Asana

Team and Team Membership

lossy
Fully supported

Project 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

maps to

Asana

Not migrated

1:1
Not supported

Project 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)

maps to

Asana

Custom Fields

1:1
Mapping required

Any 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

maps to

Asana

Task Position (section or list order)

lossy
Fully supported

Project 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.

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.

Project Drive logo

Project Drive gotchas

High

No public API documented for bulk data export

Medium

Budget and cost fields require schema mapping at destination

Medium

Gantt sequencing does not always preserve inter-task dependency details

Asana logo

Asana gotchas

High

Automation rules have no export representation

High

API rate limits cap bulk migration throughput

Medium

Portfolios are view-only objects that do not hold data

Medium

Custom field enum options cannot be updated via API

Low

Subtasks do not appear in project views by default

Pair-specific challenges

  • No public API forces UI-based extraction with schedule risk

    Project Drive does not publish a developer-facing REST API for automated data extraction. All migration work requires navigating the application UI to trigger structured CSV downloads or bulk export sessions. We script authenticated UI extraction sessions to pull project, task, subtask, and attachment data, but export throughput is constrained by the application's UI performance rather than a controlled API rate limit. Large accounts with 10,000-plus tasks require chunked extraction runs, which extends the extraction phase and adds timeline contingency. We communicate export volume estimates during scoping and adjust the schedule if UI throughput lags during extraction.

  • Gantt dependency reconstruction may alter dependency precision

    Project Drive renders task dependencies visually in Gantt view, but exported CSV data may present these relationships as simple ordering fields rather than explicit dependency declarations. We reconstruct Finish-to-Start dependencies from the Gantt visual layout by analyzing task start and end date sequences, but the reconstructed links reflect our interpretation of the visual data and may not perfectly replicate the original dependency logic. If a task's predecessor in the Gantt view is ambiguous in the export, we flag it for the customer's PM to validate during sandbox review before applying dependencies in production.

  • Budget and cost fields have no native Asana destination

    Project Drive tracks budget and cost data as native project and task fields, but Asana has no built-in financial tracking module. We map these values to custom numeric fields created during schema setup, but the customer must decide whether budget data belongs at the project level or task level and what field names and precision match their reporting needs. We flag every cost-related field from Project Drive during scoping, propose a mapping strategy with field type recommendations, and create the custom fields before migration. Without this decision, cost fields are omitted from the initial migration and require a supplemental data load.

  • Project Drive subtasks can create deep nesting that Asana flattens

    Project Drive supports multi-level subtask nesting (Task > Subtask > Sub-subtask), while Asana subtasks are a single level of child Task with a parent reference. If Project Drive data contains three or more levels of nesting, we flatten all subtasks to a single child level, preserving the immediate parent-child relationship but not the grandparent hierarchy. The depth loss is documented in the migration scope, and the customer can choose to use Asana sections as a proxy for top-level grouping to partially preserve organizational intent. We flag the deepest nesting depth during discovery so this is not a post-migration surprise.

Migration approach

Six steps for a successful Project Drive to Asana data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

Context on both ends of the pair

Project Drive logo

Project Drive

Source

Strengths

  • Native Gantt chart view gives visual project sequencing without a separate scheduling tool.
  • Structured task hierarchy with cross-functional team assignment reduces ownership ambiguity.
  • Built-in budget and cost fields align project management with financial oversight in one interface.
  • Calendar sync for scheduling meetings and task deadlines from within the platform.

Weaknesses

  • First-timer onboarding is not user-friendly; teams report a learning curve before becoming productive.
  • Pricing is considered high relative to competitors for the feature set offered.
  • Limited documented API access makes programmatic export and integration non-standard.
  • Fewer integrations compared to established PM platforms like Asana, Monday.com, or Smartsheet.
Asana logo

Asana

Destination

Strengths

  • Unlimited projects and tasks on the free plan for teams up to 15 members.
  • 100+ native integrations including Salesforce, Slack, Google Drive, and Microsoft Teams.
  • Four distinct project views (List, Board, Calendar, Timeline) in a single interface.
  • Dependency management with start/end dates and predecessor links for critical path tracking.
  • Portfolio dashboards for executives to track cross-project status and workload.

Weaknesses

  • Per-seat pricing scales expensively: Advanced tier costs nearly double Starter for a 50-seat team.
  • API does not expose all UI-accessible data; some fields require screen-scraping for full fidelity.
  • Automation rule limits on lower tiers are restrictive, causing power users to upgrade or leave.
  • No native document/wiki capability forces teams to use external tools for knowledge management.
  • Rate limits (150 req/min on free, 1,500 req/min on paid) constrain bulk migration throughput.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Project Drive and Asana.

  • Object compatibility

    B

    3 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

    B

    Project Drive: Not publicly documented.

  • Data volume sensitivity

    B

    Project Drive doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Project Drive to Asana 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 Project Drive to Asana data migrations

Answers to the questions buyers ask most during Project Drive to Asana migration scoping. Not seeing yours? Book a call.

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Migrations under 5,000 tasks, 200 projects, and minimal attachments land in three to five weeks. Migrations with more than 20,000 tasks, multi-level subtask hierarchies, complex dependency graphs, or full file re-upload extend to eight to twelve weeks. The primary schedule variable is the UI-based extraction from Project Drive, which lacks a documented API and therefore runs at the application's UI throughput rather than a controlled API speed. We build extraction time estimates into the scoping phase and add timeline contingency for large accounts.

Adjacent paths

Related migrations to explore

Ready when you are

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