Project Management migration
Field-level mapping, validation, and rollback between Cerebro and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.
Cerebro
Source
monday Work Management
Destination
Compatibility
7 of 12
objects map 1:1 between Cerebro and monday Work Management.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Cerebro and monday.com have fundamentally different data architectures, making this migration more involved than a record copy. Cerebro exposes no documented public API, so all source extraction relies on Cerebro's built-in export function and, where necessary, structured data extraction from the web interface. Cerebro's unlimited task nesting depth (a key differentiator for VFX and animation studios) must be flattened into monday.com's two-level structure (Items and Sub-items) using groups to preserve the hierarchy. Media attachments stored on Cerebro's distributed servers require per-file download and re-upload to monday.com storage. Cerebro's permission-group access model does not map directly to monday.com's team and permission model; we extract all group memberships, map them to the closest monday.com equivalents, and flag groups with no direct match for post-migration review. Automations, workflows, and template cloning logic do not migrate as code; we deliver a written inventory of every automation for the customer's admin to rebuild in monday.com's automation builder.
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 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.
Cerebro
Project
monday Work Management
Workspace and Board
1:1Cerebro Projects map to monday.com Boards, with the option to create a monday.com Workspace per Cerebro project grouping if the customer uses multiple projects under a single account. Project name, description, status, dates, and tags migrate as board name, description, status column, and date columns. We preserve the original Cerebro project identifier in a custom column for audit traceability.
Cerebro
Task (unlimited nesting depth)
monday Work Management
Item and Sub-item
1:manyCerebro's unlimited task nesting depth is the primary reconstruction challenge. We extract the full parent-child hierarchy, then map top-level Cerebro tasks to monday.com Items within a Board Group, and map second-level Cerebro subtasks to monday.com Sub-items. For nesting beyond two levels (Cerebro supports arbitrary depth), we use additional Board Groups as a third conceptual layer and flag the remaining depth for manual review or restructuring in monday.com, since monday.com natively supports only one level of sub-items.
Cerebro
Subtask
monday Work Management
Sub-item
1:1Cerebro Subtasks map directly to monday.com Sub-items, preserving the parent Item reference, assignment, status, due date, and description. Sub-item ordering is preserved by position index. If the customer uses Cerebro's recursive subtask feature (subtasks of subtasks), those beyond the first sub-item level are flagged as requiring manual parent reassignment in monday.com.
Cerebro
Tag
monday Work Management
Label Column
1:1Cerebro tags used to categorize any project element map to monday.com Label columns. We extract all tag values per task, create the corresponding Label options in the destination board, and assign them to each Item. Tag naming conventions vary by team; we normalize duplicates and merge identically named tags during the transform phase.
Cerebro
Task Dependency
monday Work Management
Dependency Column
lossyCerebro Gantt chart dependencies expose explicit predecessor-successor edges between tasks. We export these as dependency pairs and recreate them in monday.com using the native Dependency column on items. Note that monday.com's Dependency column requires Pro plan ($19/seat) or above. If the customer is on a lower tier, we map dependencies to a Status-based workflow or document them as a manual checklist for admin review.
Cerebro
Attachment (media)
monday Work Management
Item File Column
lossyCerebro stores media files—images, video, audiovisual commentaries—on its own distributed server infrastructure with URLs that are not included in standard exports. We extract all attachment URLs from the Cerebro task export, download each file individually (respecting source server rate limits with exponential backoff), then upload to monday.com storage via the monday.com API's file upload endpoint. File size limits (50 MB per file in monday.com) and any re-upload failures are flagged per asset for the customer's review. Audiovisual commentaries are treated as linked media assets; thumbnail previews are preserved where available in the export.
Cerebro
Comment
monday Work Management
Item Update
1:1Cerebro comments on tasks migrate as monday.com Item Updates (the activity log entry on an item). Author attribution is preserved via user email mapping to monday.com team members. Inline media references in comments are converted to download links pointing to the re-uploaded media assets. We strip Cerebro's built-in translator UI artifacts during comment normalization, but any remaining localization noise requires manual review of comment content post-migration.
Cerebro
Team Calendar
monday Work Management
Item Date Columns and Timeline View
1:1Cerebro team and individual calendars aggregate task assignments and deadlines. We map calendar entries to monday.com Item date columns (Start Date and Due Date), and reconstruct the calendar view using monday.com's native Timeline view (available on Standard plan and above). All-day versus partial-day semantics differ between platforms; we preserve the original Cerebro date-time values and flag any ambiguity for the customer to resolve in the destination.
Cerebro
Permission Group
monday Work Management
Team and Board Permission
lossyCerebro uses a permission-group access model where users belong to named groups with specific access rights per project. monday.com uses Workspace-level roles (Member, Admin, Viewer) and board-level permissions (Full, Limited, View Only). We extract all Cerebro group memberships, map them to the closest matching monday.com role or permission setting, and flag any group with no direct equivalent as requiring manual post-migration permission review. Users without an email match in monday.com must be provisioned by the admin before migration.
Cerebro
Gantt Chart
monday Work Management
Timeline View
1:1Cerebro Gantt views are generated from task start dates, end dates, durations, and dependency edges. We extract the timeline data (start, end, duration, % complete) and reconstruct the view in monday.com's Timeline column (Standard plan and above) or by using the native Gantt chart view if available on the customer's tier. Dependency arrows are drawn from the Dependency column configuration. Milestone tasks map to date-only items with a milestone indicator column.
Cerebro
User
monday Work Management
User (Team Member)
1:1Cerebro user records map to monday.com team members by email address. We extract every distinct user referenced on tasks, subtasks, comments, and permission groups, then match by email against the monday.com workspace members list. Users without a match are placed in a reconciliation queue for the customer's admin to provision in monday.com before record assignment migration proceeds. Active and inactive status is preserved as a custom field for audit.
Cerebro
Custom Fields
monday Work Management
Columns
lossyCerebro custom fields per project map to monday.com board columns. We extract the full custom field schema per Cerebro project, then create the equivalent monday.com column types: text fields to Text columns, numeric fields to Numbers, dates to Date columns, dropdowns to Dropdown columns, checkboxes to Checkbox columns. Custom field data migrates as column values on the corresponding items. Note that custom field types beyond monday.com's 30+ native column types may require conversion to the nearest equivalent or manual post-migration data entry.
| Cerebro | monday Work Management | Compatibility | |
|---|---|---|---|
| Project | Workspace and Board1:1 | Fully supported | |
| Task (unlimited nesting depth) | Item and Sub-item1:many | Fully supported | |
| Subtask | Sub-item1:1 | Fully supported | |
| Tag | Label Column1:1 | Fully supported | |
| Task Dependency | Dependency Columnlossy | Fully supported | |
| Attachment (media) | Item File Columnlossy | Fully supported | |
| Comment | Item Update1:1 | Fully supported | |
| Team Calendar | Item Date Columns and Timeline View1:1 | Fully supported | |
| Permission Group | Team and Board Permissionlossy | Fully supported | |
| Gantt Chart | Timeline View1:1 | Fully supported | |
| User | User (Team Member)1:1 | Fully supported | |
| Custom Fields | Columnslossy | Mapping required |
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
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 scoping
We audit the source Cerebro account: project count, task counts at each nesting depth, attachment URLs, comment volume, permission group names and memberships, Gantt dependency edges, and any custom field schemas per project. We request a full account export from Cerebro and validate its completeness against the live account record counts. This step establishes the migration baseline, identifies data that cannot be extracted via standard export, and produces a written scope document with record counts and a migration feasibility assessment.
Schema design and board architecture planning
We design the monday.com target schema: one Board per Cerebro Project, Groups representing top-level task groupings, Items representing top-level Cerebro tasks, and Sub-items representing Cerebro subtasks. We create the custom columns for Cerebro custom fields, configure the Label columns for tags, set up the Dependency column (Pro plan required) for Gantt dependencies, and plan the Workspace structure. If Cerebro permission groups cannot map cleanly to monday.com roles, we document the gap for post-migration review.
Media download and storage preparation
We extract all attachment URLs from Cerebro's export, download each file individually with exponential backoff to avoid source server rate limits, and verify file integrity (size and format checks). We then upload files to monday.com storage via the API's file upload endpoint, map each file to its target Item, and flag any files exceeding monday.com's 50 MB limit or failing re-upload for manual handling. Audiovisual commentary files are treated as standard attachments; their Cerebro-specific playback metadata is not preserved.
Sandbox migration and mapping validation
We run a full migration into a monday.com Sandbox or parallel workspace using production-like data volume. The customer reconciles record counts (Projects to Boards, Tasks to Items, Subtasks to Sub-items, Dependencies, Comments), spot-checks 25-50 random items against the Cerebro source, and validates permission group mapping. Any column type mismatches, nesting-level overflow issues, or dependency mapping gaps are corrected here before production migration begins. This step is essential because Cerebro's limited export format means mapping must be validated empirically.
Production migration in dependency order
We run production migration in the correct order: Users (validated against monday.com team), Boards (from Cerebro Projects), Items (from Cerebro Tasks with parent reference resolved), Sub-items (from Cerebro Subtasks), Tags mapped to Label columns, Dependencies configured per item, Comments as Item Updates, Gantt data as Timeline view columns, and media attachments linked to items. Each phase emits a row-count reconciliation report before the next phase begins. Any Cerebro data that could not be extracted via standard export is logged and presented to the customer for manual entry or alternative sourcing.
Cutover, validation, and automation rebuild handoff
We freeze Cerebro writes during cutover, run a final delta migration of any tasks modified during the migration window, then enable monday.com as the system of record. We deliver the automation and workflow inventory document with recommended monday.com automation equivalents for the customer's admin to rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Cerebro workflow patterns as monday.com automations inside the migration scope; that work is documented separately for the customer's admin or a monday.com implementation partner.
Platform deep dives
Cerebro
Source
Strengths
Weaknesses
monday Work Management
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 Cerebro and monday Work Management.
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
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.
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FAQ
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