Project Management migration
Field-level mapping, validation, and rollback between Cerebro and Asana. We move data and schema; workflows are rebuilt natively in Asana.
Cerebro
Source
Asana
Destination
Compatibility
8 of 12
objects map 1:1 between Cerebro and Asana.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Cerebro to Asana means trading a visual-content-first tool built for VFX and animation studios for one of the most widely adopted mainstream project management platforms. Cerebro's key differentiator—unlimited task nesting depth—has no direct equivalent in Asana, so we flatten deep hierarchies into Asana Projects with Sections and predecessor dependencies, preserving the original depth structure as a custom field for reference. Cerebro's absence of a documented public API is the highest-severity migration constraint: we cannot run automated extraction against a live API, so all source data must come from Cerebro's limited export function or screen-scraped output, which we then normalize, deduplicate, and chunk into Asana's Bulk API with batch handling. Media attachments stored on Cerebro's distributed servers are identified by URL, individually downloaded, and re-uploaded to Asana. Permission groups from Cerebro are mapped to Asana Teams and member roles. Workflows, automations, and Gantt view configurations do not migrate; we deliver a written inventory of every active workflow and dependency structure requiring manual rebuild in Asana's Rules engine after cutover.
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 Cerebro 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.
Cerebro
Project
Asana
Project
1:1Cerebro Projects map directly to Asana Projects. Project name, description, status (Active/Archived), start date, due date, and tags transfer as-is. We use the project-level tags array to populate Asana project-level color labels. Projects are created first in the migration sequence so that all child tasks can reference a valid parent Project.gid at insert time.
Cerebro
Task
Asana
Task
1:1Cerebro Tasks map to Asana Tasks. The Cerebro task name maps to Asana name, notes to the task description field (stored as HTML), start date to start_on, and due date to due_on. Assignee is resolved by email against the Asana User table during the User mapping phase. Task status (open/done) maps to completed in Asana. All tasks are inserted before subtask resolution begins.
Cerebro
Subtask
Asana
Subtask (or Section task)
1:manyCerebro's unlimited nesting depth is the primary structural challenge in this migration. Asana supports subtasks exactly one level deep per task. For Cerebro task trees deeper than two levels, we flatten nested structures into sibling tasks within an Asana Section, and we preserve the original parent-child relationship as a predecessor dependency edge (using Asana dependencies). We record the original nesting depth and root parent in custom fields cerebro_original_depth__c and cerebro_root_parent__c for audit. This mapping requires manual review with the customer's PM lead during scoping to confirm the flattening strategy matches their workflow expectations.
Cerebro
Tag
Asana
Tag
1:1Cerebro Tags are workspace-level labels that can be applied to any project element. We extract the full tag taxonomy per object and map them to Asana Tags, which are global to the Organization. Tag color and name are preserved. Duplicate tag names across object types in Cerebro are merged in Asana to avoid tag proliferation. Tags used for priority or status encoding are identified during scoping and may be converted to custom fields instead.
Cerebro
Task Dependency (Gantt)
Asana
Dependency (predecessor link)
1:1Cerebro Gantt chart dependencies are stored as explicit edges between tasks with dependency type (Finish-to-Start, Start-to-Start, Finish-to-Finish, Start-to-Finish). We export all dependency edges from Cerebro and recreate them in Asana using the dependencies add endpoint. Asana supports Finish-to-Start dependencies natively; other types are stored as custom fields cerebro_dependency_type__c on the dependent task and flagged for manual review post-migration.
Cerebro
Attachment
Asana
Attachment
lossyCerebro stores media files on its own distributed server infrastructure with URL-based references. We extract every attachment URL from the Cerebro export, download each file individually (with timeout and retry handling per asset), and re-upload to Asana as a file attachment on the corresponding task. Audiovisual commentaries are treated as standard video attachments. Thumbnail previews and Cerebro-specific preview formats do not carry over; we flag these as requiring optional manual re-upload. Large files exceeding Asana's 100MB attachment limit are chunked or hosted as linked Google Drive references.
Cerebro
Comment
Asana
Story (Comment)
1:1Cerebro Comments map to Asana Stories with type=comment. Author attribution is preserved via user email mapping. Comment body transfers as plain text. Inline media references in comments are converted to download-and-re-attach links pointing to the re-uploaded attachment in Asana. Cerebro's built-in translator feature may have injected UI-localized strings into comment text; we strip common localization artifact patterns (e.g., repeated string suffixes, bracketed language tags) during comment normalization, though manual review of comment content post-migration is recommended.
Cerebro
Team Calendar
Asana
Task (scheduled)
1:1Cerebro's team and individual calendars aggregate task assignments and deadlines into a calendar view. We extract calendar-scheduled entries and map them to Asana Tasks with start_on and due_on populated from the original calendar entry. All-day vs partial-day semantics differ between platforms; Cerebro's all-day events are flagged with cerebro_all_day__c set to true in the migrated task. Full calendar view reconstruction is out of scope; we deliver the calendar data as a task list with date fields populated.
Cerebro
Permission Group
Asana
Team + Member Role
lossyCerebro uses permission groups for access control: users belong to named groups with specific read/write/Admin rights per project. Asana uses Teams with member roles (Member, Guest, Admin) scoped to Organization or Team level. We extract every distinct permission group, list its members, and map to the closest matching Asana Team and role combination. Groups with no direct Asana equivalent (e.g., custom granular per-project rights) are flagged in the permission handoff document and require manual post-migration permission review by the customer's admin.
Cerebro
User
Asana
User
1:1Cerebro Users are resolved by email address against Asana's User table. First name, last name, and email transfer. Any Cerebro user without a matching Asana User is held in a provisioning queue; the customer's admin creates the Asana account before the permission mapping phase runs. Inactive Cerebro users are mapped to Asana inactive members with their task assignments reassigned to a default project owner.
Cerebro
Project Template
Asana
Project Template
lossyCerebro project templates are collections of pre-configured task structures, tags, and settings cloned per new engagement. We export the full template structure as a static project export. Asana has a native project templates feature on Premium and above. We create an equivalent Asana project from the exported structure and, if the customer is on Asana Premium or Enterprise, convert it to a template using Asana's template API. If the customer is on Asana Basic (free), we deliver the template structure as a written task-breakdown document for manual cloning.
Cerebro
Gantt Chart
Asana
Timeline View (Premium+)
1:1Cerebro Gantt charts are generated from task dates and dependency edges. We extract timeline data (start date, end date, duration, and dependency edges) from Cerebro and reconstruct the Gantt layout in Asana as a Timeline view. Note: Timeline view requires Asana Premium ($10.99/user/month) or above. If the destination Asana workspace is on a lower tier, we deliver the timeline data as a written dependency map and the customer's admin enables Timeline by upgrading or uses a third-party Gantt tool.
| Cerebro | Asana | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Subtask | Subtask (or Section task)1:many | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Task Dependency (Gantt) | Dependency (predecessor link)1:1 | Fully supported | |
| Attachment | Attachmentlossy | Fully supported | |
| Comment | Story (Comment)1:1 | Fully supported | |
| Team Calendar | Task (scheduled)1:1 | Fully supported | |
| Permission Group | Team + Member Rolelossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Project Template | Project Templatelossy | Fully supported | |
| Gantt Chart | Timeline View (Premium+)1:1 | 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.
Cerebro gotchas
No documented public API for automated export
Media attachments stored on Cerebro's servers require separate transfer
Permission groups do not map cleanly to role-based systems
Localization strings in exported comments may include UI artifacts
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
Export sourcing and scoping
We request a full Cerebro account export from the customer's Cerebro account manager or admin. If the native export is unavailable or incomplete, we document the screen-scraping requirements and estimate the manual data reconstruction effort. We audit the export against the customer's stated project list, task count, nesting depth, attachment count, and permission group structure. We produce a written scoping document listing all migratable objects, any data that cannot be sourced automatically, and the manual data reconstruction tasks required before migration can begin.
Asana workspace preparation
We set up the Asana destination workspace, create Teams corresponding to the Cerebro permission groups, provision Users by email match (holding unresolved users in a provisioning queue), and configure Project structure. If Asana Premium or above is in scope, we create project templates from the exported Cerebro template structures. We disable Asana notifications before migration begins to prevent notification spam during data load. Custom fields matching Cerebro tag and property taxonomy are pre-created in Asana before any records are inserted.
Attachment download and normalization
We extract all attachment URLs from the Cerebro export, download each file individually with timeout and retry logic, normalize file names (stripping Cerebro-specific characters and path prefixes), and stage them for Asana upload. Files exceeding 100MB are flagged for alternative storage. Comments are normalized: HTML is stripped, inline media references are converted to attachment links, and localization artifact patterns are removed. Task dependency edges are extracted as a separate edge list for batch insertion into Asana's dependencies endpoint.
Hierarchy flattening and dependency mapping
We process the Cerebro task tree to resolve the unlimited-nesting challenge. Tasks nested deeper than two levels are flattened into sibling tasks within Asana Sections, and the original parent-child relationships are preserved as Finish-to-Start predecessor dependencies. We record original nesting depth and root parent in custom fields cerebro_original_depth__c and cerebro_root_parent__c on each flattened task. The flattening strategy is reviewed with the customer's PM lead during scoping before execution. Dependency edges from Cerebro's Gantt model are mapped to Asana dependency records using the add-subtasks-for-dependencies endpoint.
Migration execution in dependency order
We run the migration in record-dependency order: Projects first, then Users, then Tasks (with flattened hierarchy applied), then Subtasks (one level deep), then Attachments (uploaded to each task), then Comments (Stories), then Dependencies, then Tags, then custom field values. Each phase emits a row-count reconciliation report comparing inserted records against the export count. We use Asana's Bulk API with chunking and exponential backoff on rate-limit responses. Attachments are uploaded per-task after task insertion completes. Permission group memberships are mapped to Team membership after all records are loaded.
Cutover, validation, and automation inventory delivery
We freeze Cerebro writes during cutover, run a delta migration of any records modified during the migration window, then enable Asana as the system of record. We perform a spot-check of 25-50 records against the Cerebro source for accuracy in field mapping, assignment, dates, and attachment presence. We deliver a written inventory document listing every Cerebro workflow, automation, Gantt configuration, and project template that requires rebuild in Asana's Rules engine, along with recommended step-by-step rebuild guidance for each item. We do not rebuild automations as Asana Rules inside the migration scope. We support a one-week hypercare window for reconciliation issues raised by the team after cutover.
Platform deep dives
Cerebro
Source
Strengths
Weaknesses
Asana
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 2 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 Cerebro and Asana.
Object compatibility
2 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
Cerebro: Not publicly documented.
Data volume sensitivity
Cerebro 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
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