Project Management migration
Field-level mapping, validation, and rollback between Ganttic and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.
Ganttic
Source
monday Work Management
Destination
Compatibility
10 of 12
objects map 1:1 between Ganttic and monday Work Management.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Ganttic to monday.com is a structural migration that maps a resource-centric data model onto a board-centric one. Ganttic organizes work around Resources (people, equipment, facilities) with Projects containing Tasks and date-based Milestones; monday.com uses Boards with Items, Groups, and native column types including Milestone, Date, People, and Status. We resolve the resource-to-board architectural decision during scoping (whether Resources live as a separate board or as People column values), pre-seed all List and Multi-Select Data Field values before import to prevent validation failures, and export Custom Views and Reports as JSON and CSV respectively for the customer's admin to rebuild as monday.com views and dashboards. Ganttic's shift operations (moving entire project timelines) have no direct monday.com equivalent; we document affected task date ranges for the customer to re-enter manually post-migration. Workflows, automations, and integrations do not migrate as code; we deliver a written map of every automation and integration for the admin to rebuild using monday.com's Automation and Integrations centers.
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 Ganttic 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.
Ganttic
Resource
monday Work Management
People Column or Resources Board
lossyGanttic Resources (people, rooms, vehicles, equipment) map to monday.com either as values in a People column on the destination board or as records in a dedicated Resources board depending on the customer's intended use. We capture all nine Data Field types attached to Resources during discovery and map them to equivalent monday.com column types (Text, Number, Date, Status, Location). Resource Grouping hierarchies from Ganttic become Groups within the Resources board or tags on individual Items. Visibility and editability rules attached to Resource Data Fields in Ganttic are documented for the customer to re-implement via monday.com's board permissions settings.
Ganttic
Project
monday Work Management
Board
1:1Ganttic Projects map directly to monday.com Boards. Project duration, time periods, and all Project-level Data Fields transfer intact. Each Project becomes a separate Board in monday.com, preserving the Ganttic Project's start date and end date as Date columns or as a Timeline column (available from Standard tier). The Project's custom Data Field set is pre-seeded as monday.com column types before Items are imported.
Ganttic
Task
monday Work Management
Item
1:1Ganttic Tasks map to monday.com Items within the destination Board. Each Task's start date, end date, assignee, and Data Field values migrate to equivalent monday.com columns. Ganttic Tasks without sub-task nesting become flat Items; if nested Tasks exist as linked records in Ganttic, we map them to sub-items in monday.com using the native sub-item column. Task Data Fields follow the same type-aware mapping as Project and Resource fields.
Ganttic
Milestone
monday Work Management
Milestone Column
1:1Ganttic Milestones are implemented as date-type Data Fields on Projects rather than a distinct object. We convert them to monday.com's native Milestone column type, which renders as a diamond marker on the Timeline view. The milestone date and any associated label migrate as the Milestone column's target date and label respectively.
Ganttic
Project Data Fields
monday Work Management
Board Columns
1:1Ganttic's nine Data Field types (List, Multi-Select, Number, Text, Date, Time, Duration, URL, Checkbox) map to monday.com column types with type-aware conversion. List and Multi-Select fields require picklist values to be pre-created in monday.com before Items can be imported — we extract all unique values during discovery and generate a pre-migration seed script. Date fields map to monday.com Date or Timeline columns depending on whether the field represents a single date or a date range.
Ganttic
Resource Data Fields
monday Work Management
Resources Board Columns
1:1Resource-level custom fields (department, skillset, location, role) map to columns on the Resources board or as People column properties. Ganttic's per-user visibility and editability restrictions on Resource Data Fields are documented for manual re-implementation via monday.com board permissions since monday.com uses a simpler board-level permission model (owner, member, viewer).
Ganttic
Task Data Fields
monday Work Management
Item Columns
1:1Task-level Data Fields follow the same nine-type system as Projects and Resources. We perform type-aware mapping and flag any task fields marked as mandatory in Ganttic to ensure required validation is replicated in monday.com (using a Required toggle on the column settings). Task Data Fields attached to Milestone-type fields in Ganttic are mapped alongside the Milestone column in monday.com.
Ganttic
Resource Grouping
monday Work Management
Groups or Folder Structure
1:1Ganttic Resources can be grouped by any Data Field value, including nested group hierarchies. We preserve group hierarchies and map them to monday.com Groups within a board or to a nested folder structure if the customer uses multiple related boards. Resource grouping used for capacity planning (e.g., grouping by department for utilization reporting) is documented as a recommendation for monday.com's Workload view configuration.
Ganttic
Custom Views
monday Work Management
Board Views
1:1Ganttic Custom Views define per-view time periods, groupings, and filtering criteria. We export view configurations as JSON during discovery. Each Ganttic view maps to an equivalent monday.com view (Gantt/Timeline, Calendar, Kanban, Table, Map) or a combination of views if a single monday.com view cannot replicate the full filter set. The customer rebuilds views in monday.com using our exported configuration as a reference specification.
Ganttic
Reports
monday Work Management
Dashboards (documentation only)
1:1Ganttic Reports export as CSV during discovery, capturing calculated metrics and summaries. monday.com Dashboards support widget-based visualization but calculated fields and rollup metrics require rebuilding. We deliver a written inventory of every Ganttic Report with its calculation logic, filters, and recommended monday.com Dashboard widget equivalents. The customer's admin rebuilds dashboards using our documentation as the specification.
Ganttic
Data Field List Values
monday Work Management
Status and Select Column Options
lossyGanttic List and Multi-Select Data Fields contain custom value sets that must exist in monday.com before Items can reference them. We extract every distinct picklist value across all List and Multi-Select fields during discovery and generate a pre-migration configuration script that creates all required Status column values or Select column options in monday.com. This step runs before any Item import to prevent validation failures on import.
Ganttic
Shift Operation Records
monday Work Management
Date Column Adjustments (manual)
1:1Ganttic's shift feature moves an entire Project along with its Tasks and Milestones on the timeline and cannot be automatically reversed. We capture the pre-shift state of all affected records during discovery, document the original and shifted date ranges for every Task and Milestone, and provide a date-adjustment reference sheet. The customer manually updates Timeline or Date columns post-migration if the shift state needs to be reflected differently than the default import.
| Ganttic | monday Work Management | Compatibility | |
|---|---|---|---|
| Resource | People Column or Resources Boardlossy | Fully supported | |
| Project | Board1:1 | Fully supported | |
| Task | Item1:1 | Fully supported | |
| Milestone | Milestone Column1:1 | Fully supported | |
| Project Data Fields | Board Columns1:1 | Mapping required | |
| Resource Data Fields | Resources Board Columns1:1 | Mapping required | |
| Task Data Fields | Item Columns1:1 | Mapping required | |
| Resource Grouping | Groups or Folder Structure1:1 | Mapping required | |
| Custom Views | Board Views1:1 | Mapping required | |
| Reports | Dashboards (documentation only)1:1 | Mapping required | |
| Data Field List Values | Status and Select Column Optionslossy | Fully supported | |
| Shift Operation Records | Date Column Adjustments (manual)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.
Ganttic gotchas
Data Field type mapping requires pre-seeded picklist values
Resource-based pricing means only active resources cost money
Project shifting cannot be automatically reversed
API rate limits are not publicly documented
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 architecture decision
We audit the source Ganttic instance across Resources (active and archived), Projects, Tasks, Milestones, Data Field types and values, Resource Grouping hierarchies, Custom Views, and Reports. We pair this with an architecture recommendation: whether Resources should migrate as a dedicated monday.com board, as People column values on project boards, or as a hybrid. We also identify archived Resources that could be excluded from migration (reducing Ganttic plan cost during parallel run) and flag any Projects affected by Ganttic shift operations for explicit date-range documentation. The discovery output is a written migration scope with object counts, field type inventory, and architecture recommendation.
Picklist pre-seeding and column configuration
We extract every unique List and Multi-Select Data Field value from Ganttic Resources, Projects, and Tasks. We generate a monday.com column configuration script that creates all required Status, Select, and Multi-Select column options in the destination workspace before any Items are imported. This script is validated in a monday.com sandbox board before execution against the production workspace. If the customer's Ganttic instance has more than 500 total picklist values, we group them by Data Field and request customer sign-off before seeding to avoid unintended column option proliferation.
Board and column schema creation
We create monday.com Boards matching the Ganttic Project structure, with columns mapped from Ganttic Data Fields using type-aware conversion. The column order, required-field settings, and any conditional formatting from Ganttic views are replicated in monday.com. Groups within boards are configured to match Ganttic Resource Grouping hierarchies. We configure the Milestone column type for any Ganttic Milestone fields and set up the Timeline or Date column based on whether the source field is a single date or a date range. Schema is deployed into a monday.com test workspace first for validation.
Sandbox migration and reconciliation
We run a full migration into a monday.com test workspace using production-like data volume. The customer's project manager or operations lead reconciles record counts (Resources in, Projects in, Tasks in, Milestones in), spot-checks 25-50 random Items against the Ganttic source, and validates that Data Field values appear correctly in monday.com columns. We specifically validate that List and Multi-Select values from Ganttic rendered correctly as monday.com column options. Any mapping corrections (wrong column type, missing picklist value, incorrect date format) happen in this phase, not in production.
Production migration in dependency order
We run production migration in record-dependency order: column configuration and picklist seeding (no-record), Resources (if migrating to a dedicated board), Projects (creating Boards), Tasks (creating Items with parent-project lookups resolved), Milestones (setting Milestone column dates), Data Field values (updating Item columns post-creation), and Resource assignments (populating People columns). Ganttic Custom Views are exported as JSON and delivered alongside the production migration. Reports are exported as CSV and delivered as a written dashboard specification document.
Cutover, validation, and automation rebuild handoff
We freeze Ganttic writes during cutover, run a final delta migration of any records modified during the migration window, then enable monday.com as the system of record. We deliver the automation and integration inventory document, the Custom View configuration export, and the Report dashboard specification to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the project team. We do not rebuild Ganttic shift-operation logic or custom workflows as monday.com automations inside the migration scope; that is documented for the customer's admin to configure in monday.com's Automation center or is a separate engagement.
Platform deep dives
Ganttic
Source
Strengths
Weaknesses
monday Work Management
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 Ganttic and monday Work Management.
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
Ganttic: Not publicly documented.
Data volume sensitivity
Ganttic 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.
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