Project Management migration

Migrate from Cerebro to Asana

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

Cerebro logo

Cerebro

Source

Asana

Destination

Asana logo

Compatibility

67%

8 of 12

objects map 1:1 between Cerebro and Asana.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Cerebro logo

Cerebro

What's pushing teams away

  • Cerebro's interface has a steep learning curve for non-creative roles; project managers from non-design backgrounds report frustration with the tool's unfamiliar paradigm and terminology.
  • The platform lacks native integrations with modern dev-tooling ecosystems, forcing teams that use Figma, Linear, or GitHub to maintain parallel workflows in disconnected systems.
  • Small teams report that Cerebro's feature set is over-engineered for their needs, and the per-seat pricing model makes it expensive relative to simpler task managers like Trello or Asana.
  • No public API documentation or developer portal was found; teams requiring programmatic access or custom integrations are effectively locked out without undocumented workarounds.
  • Performance degrades noticeably on projects exceeding several thousand tasks, with load times and save operations becoming unreliable during high-activity periods.

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 Cerebro objects map to Asana

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

maps to

Asana

Project

1:1
Fully supported

Cerebro 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

maps to

Asana

Task

1:1
Fully supported

Cerebro 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

maps to

Asana

Subtask (or Section task)

1:many
Fully supported

Cerebro'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

maps to

Asana

Tag

1:1
Fully supported

Cerebro 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)

maps to

Asana

Dependency (predecessor link)

1:1
Fully supported

Cerebro 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

maps to

Asana

Attachment

lossy
Fully supported

Cerebro 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

maps to

Asana

Story (Comment)

1:1
Fully supported

Cerebro 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

maps to

Asana

Task (scheduled)

1:1
Fully supported

Cerebro'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

maps to

Asana

Team + Member Role

lossy
Fully supported

Cerebro 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

maps to

Asana

User

1:1
Fully supported

Cerebro 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

maps to

Asana

Project Template

lossy
Fully supported

Cerebro 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

maps to

Asana

Timeline View (Premium+)

1:1
Fully supported

Cerebro 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.

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.

Cerebro logo

Cerebro gotchas

High

No documented public API for automated export

Medium

Media attachments stored on Cerebro's servers require separate transfer

Medium

Permission groups do not map cleanly to role-based systems

Low

Localization strings in exported comments may include UI artifacts

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

  • Cerebro has no documented public API

    Cerebro does not publish a REST or GraphQL API and has no developer portal. All data extraction must come from Cerebro's own limited export function or screen-scraping the web interface. We cannot guarantee complete data coverage without a supported export path, and any undocumented endpoints encountered may change without notice. We request a full account export during scoping before committing to a migration timeline. If the export is incomplete, we flag missing fields and objects and estimate the manual data reconstruction effort required. Customers should export all available data before account deprovisioning.

  • Unlimited task nesting requires flattening into Asana's two-level model

    Cerebro's core differentiator is unlimited task nesting depth, which has no direct equivalent in Asana (subtasks are supported one level deep). Migrations from deeply nested Cerebro projects require flattening the hierarchy into sibling tasks within Asana Sections, with original parent-child relationships preserved as predecessor dependencies. We record the original nesting depth per task in a custom field for audit. This restructuring is manual design work during scoping and cannot be fully automated. Teams with complex creative breakdowns must review the flattening strategy before migration runs to confirm the resulting structure is workable in Asana.

  • Media attachments must be individually downloaded and re-uploaded

    Cerebro stores media files—including images, video, and audiovisual commentaries—on its own distributed server infrastructure rather than in a standard cloud bucket. These files are not included in standard web exports and must be identified by URL, downloaded individually (with timeout and retry handling per asset), and re-uploaded to Asana. File size limits and re-upload failures must be handled explicitly per asset. We chunk downloads and uploads to avoid rate-limit failures. Audiovisual commentary files exceeding Asana's 100MB attachment limit require alternative storage (Google Drive link) rather than direct upload.

  • Permission groups do not map cleanly to Asana Teams and roles

    Cerebro uses permission groups where users belong to named groups with specific access rights per project. Asana uses Teams with member roles (Member, Guest, Admin) scoped to Team or Organization level. There is no per-project granular permission model in Asana's standard tier. We extract all group memberships, map them to the closest matching Asana Team, and flag any group with no direct equivalent (e.g., per-project custom rights) as requiring manual post-migration permission review. If the customer requires per-project permission granularity, Asana Enterprise's Advanced Admin features must be purchased.

  • Localization strings in exported comments may include UI artifacts

    Cerebro's built-in translator feature translates UI strings that appear in comments when users of different language locales interact. These translated strings can appear as duplicate or substituted text in exported comments. We strip common UI artifact patterns during comment normalization but cannot guarantee all localization noise is removed without manual review of comment content. Customers should spot-check exported comments for corrupted or duplicated text after migration completes.

Migration approach

Six steps for a successful Cerebro to Asana data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Cerebro logo

Cerebro

Source

Strengths

  • Unlimited task nesting depth handles multi-level creative breakdowns natively.
  • Native media viewer and audiovisual commentary support for visual content review.
  • Distributed server infrastructure reduces latency for globally distributed teams.
  • Project templates enable consistent workflow cloning across recurring engagements.
  • Built-in translator and multi-language interface support international teams.

Weaknesses

  • No documented public API, limiting programmatic access and integration options.
  • Interface is unfamiliar to PM professionals without creative industry experience.
  • Performance degrades on very large projects with thousands of tasks.
  • Limited ecosystem integrations compared to mainstream project management tools.
  • Per-seat pricing model is cost-prohibitive for small teams or simple use cases.
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. 2 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 Cerebro and Asana.

  • Object compatibility

    B

    2 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

    Cerebro: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Cerebro 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 Cerebro to Asana data migrations

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

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Most migrations land between three and five weeks for accounts under 500 projects and 10,000 tasks with clean export output and no deep nesting complexity. Migrations with thousands of tasks, deeply nested hierarchies requiring flattening and dependency reconstruction, large media attachment volumes (over 5,000 files), or permission-group structures with no direct Asana RBAC equivalent move to seven to twelve weeks because of screen-scraping overhead, nesting-flatten logic, and permission reconciliation scope. Cerebro's lack of a public API adds scoping time before migration can begin.

Adjacent paths

Related migrations to explore

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