Project Management migration
Field-level mapping, validation, and rollback between MIndGenius Online and Jira. We move data and schema; workflows are rebuilt natively in Jira.
MIndGenius Online
Source
Jira
Destination
Compatibility
8 of 10
objects map 1:1 between MIndGenius Online and Jira.
Complexity
BStandard
Timeline
2-4 weeks
Overview
MindGenius Online and Jira represent two different mental models of project management. MindGenius Online treats projects as visual mind maps with branching hierarchies that convert into Taskboard cards and Timeline bars; Jira treats projects as issue trackers with Epics, Stories, Tasks, Bugs, and Subtasks organised by Sprints. These structural differences mean the migration is primarily a flattening and re-hierarchisation exercise. We extract every Mind Map branch, resolve its parent-child relationships, and map them to Jira Epic-Story-Subtask or Epic-Task chains depending on depth. Taskboard cards carrying status, assignee, and due date become Jira Issues. Timeline entries carrying start and end dates, dependencies, and milestones become Jira Issues with Sprint assignments and linked Issue relationships. MindGenius Dashboards, Guest access records, and branch-level custom properties migrate as Jira Dashboard configurations and custom Issue fields respectively. We do not migrate the Mind Map visual layout itself; Jira has no concept of a radial mind map canvas. Automations, MindGenius views, and any freemium-locked content are documented in a written inventory for the customer's admin to rebuild in Jira.
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 MIndGenius Online object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
MIndGenius Online
Project
Jira
Project
1:1MindGenius Online Projects map to Jira Projects as the root container. We extract the project name, description, and creation timestamp. Jira project type (company-managed or team-managed) is chosen during scoping; company-managed is the default and supports the widest workflow and issue type configuration. The Jira project key (e.g. PROJ) is generated from the MindGenius project name.
MIndGenius Online
Mind Map / Branch hierarchy
Jira
Epic + Story + Task + Subtask
1:manyMindGenius mind map branches are a hierarchical tree with unlimited depth. We flatten the tree into Jira's three-level issue hierarchy: top-level branches become Jira Epics, second-level branches become Stories or Tasks depending on whether they have children, and leaf-level branches become Subtasks. Branches exceeding four levels are collapsed into the nearest Jira-compatible level with child branches re-parented. Branch labels, colours, and map properties migrate as Jira custom fields (mg_branch_label__c, mg_branch_colour__c) for reference.
MIndGenius Online
Taskboard card
Jira
Issue (Story, Task, Bug)
1:1MindGenius Taskboard cards carry title, description, status (To Do, In Progress, Done), assignee, due date, and priority. These map directly to Jira Issue fields: Summary, Description, Status, Assignee, Due Date, and Priority (Highest, High, Medium, Low). Taskboard swimlane groupings do not have a Jira equivalent and are dropped; we document the grouping as a Jira label or component so the customer can manually reassign if needed.
MIndGenius Online
Timeline entry / Gantt bar
Jira
Issue + Sprint
1:1MindGenius Timeline entries with start date, end date, and duration map to Jira Issues with the same start and target dates preserved as custom date fields (mg_start_date__c, mg_target_date__c). Milestone markers become Jira Milestones (if the Jira Product Discovery or Advanced Roadmaps add-on is present) or Jira Issues flagged with a Milestone label. Gantt dependency arrows (Finish-to-Start, Start-to-Start) become Jira Issue Links (Blocks / Is blocked by). Jira Sprints are created to cover the Timeline date range.
MIndGenius Online
Timeline milestone
Jira
Milestone or Issue
lossyMindGenius milestones are date-bound markers on the Timeline. In Jira without Advanced Roadmaps, milestones are not a native concept. We represent them as Jira Issues with zero story points, a Milestone label, and the target date migrated as a custom date field. If the destination Jira includes Advanced Roadmaps, we create native Milestone records and link the relevant issues. The milestone name and colour migrate as custom fields.
MIndGenius Online
Timeline dependency
Jira
Issue Link
1:1MindGenius Timeline dependencies (Finish-to-Start arrows) between tasks become Jira Issue Links of type Blocks or Is Blocked by. We resolve the destination issue key at migration time by matching the dependent task name to the newly created Jira Issue summary. Circular dependency chains are flagged and escalated during scoping since Jira does not natively support circular issue links.
MIndGenius Online
Dashboard
Jira
Jira Dashboard
1:1MindGenius Hub Dashboards aggregate KPIs across projects. Jira Dashboards are configurable gadget-based dashboards. We map KPI widgets to Jira gadget equivalents (Created vs Resolved chart, Pie Chart by Status, Sprint Burndown if Sprints exist). Dashboard layout mapping is approximate; Jira's gadget grid does not replicate MindGenius card-widget layouts exactly.
MIndGenius Online
Guest User
Jira
Jira User (external)
1:1MindGenius Guest access grants free external users view access to a single shared project. Jira's free tier includes up to 10 users; external stakeholders map to Jira users with Viewer or Member roles. We extract the guest email list from MindGenius and provision corresponding Jira user invitations during migration.
MIndGenius Online
Custom Field (branch property)
Jira
Custom Issue Field
1:1MindGenius branch-level custom properties (text fields, date fields, numeric fields) migrate to Jira custom fields on Issue. Field type mapping: MindGenius text to Jira Text Field, date to Jira Date Picker, number to Jira Number Field. Custom fields that have no Jira equivalent in the current plan tier are documented for the customer's admin to add post-migration.
MIndGenius Online
Comments (branch comment)
Jira
Issue Comment
1:1MindGenius branch comments are stored as inline text associated with map branches. We extract comment content and author timestamps from MindGenius exports and map them to Jira Issue Comments on the corresponding Jira Issue. Comment thread nesting is flattened to Jira's flat comment structure. Attachments on comments are not preserved in standard MindGenius exports; we warn customers and recommend re-attaching any critical files post-migration.
| MIndGenius Online | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Mind Map / Branch hierarchy | Epic + Story + Task + Subtask1:many | Fully supported | |
| Taskboard card | Issue (Story, Task, Bug)1:1 | Fully supported | |
| Timeline entry / Gantt bar | Issue + Sprint1:1 | Fully supported | |
| Timeline milestone | Milestone or Issuelossy | Fully supported | |
| Timeline dependency | Issue Link1:1 | Fully supported | |
| Dashboard | Jira Dashboard1:1 | Fully supported | |
| Guest User | Jira User (external)1:1 | Fully supported | |
| Custom Field (branch property) | Custom Issue Field1:1 | Fully supported | |
| Comments (branch comment) | Issue Comment1:1 | 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.
MIndGenius Online gotchas
Freemium one-project ceiling blocks multi-project migrations
Comments and attachments not preserved in standard exports
MS Project export strips Gantt-specific metadata
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
Scoping and export extraction
We audit every MindGenius Online project in scope: project count, mind map branch depth, Taskboard card volume, Timeline entry count, milestone count, dependency count, and dashboard widget inventory. We extract data using MindGenius Excel and MS Project exports, parse branch hierarchies, and flag any project currently on the freemium one-project tier that would be locked if the customer migrates away. The scoping output is a written migration scope, a data completeness assessment, and a Jira project type recommendation (company-managed vs team-managed).
Branch hierarchy analysis and Jira issue type mapping
We analyse the deepest branch depth across all mind maps to determine how many levels will collapse during flattening. We build an issue-type assignment matrix: which branch depth maps to Epic, Story, Task, or Subtask in Jira. We also extract branch colours, labels, and custom properties as candidate Jira custom fields. If any mind map has more than 30 top-level branches, we discuss splitting it into multiple Jira Epics or Projects before migration begins to avoid an unmanageable backlog.
Jira project and schema configuration
We pre-create the Jira destination projects, issue types (Epic, Story, Task, Subtask), custom fields (mg_branch_label__c, mg_start_date__c, mg_target_date__c, mg_original_branch_path__c), and any required labels or components. If the destination Jira includes Advanced Roadmaps, we configure Milestone records to receive the MindGenius milestone data. Sprints are created to cover the date ranges extracted from MindGenius Timeline entries. This configuration is deployed into a Jira Sandbox or staging project for validation before production migration.
Export parsing and data transformation
We parse MindGenius Excel and MS Project exports into a canonical intermediate format, resolving parent-child branch relationships, card-to-branch links, and Timeline-to-card references. We build the Jira bulk-import CSV with one row per issue, populating Summary, Description, Status, Assignee (by email lookup), Priority, Labels, and custom fields. Dependencies are extracted as a separate link CSV for Jira bulk creation of Issue Links.
Sandbox migration and reconciliation
We run a full migration into a Jira staging project using production-like data volume. The customer's project lead reviews the issue hierarchy (depth check), status mapping (Taskboard column to Jira status), date fields (start and target dates on every issue), dependency links (Blocks / Is Blocked by), and dashboard gadgets. We resolve any mapping corrections before the production migration begins. Any Jira workflow configuration gaps identified during sandbox review are documented for the customer's admin to implement.
Production migration and cutover
We run the production migration into the live Jira instance. Issues are created in dependency order: Epics first, then Stories, then Tasks, then Subtasks. Issue Links (Blocks, Is Blocked by) are created after all issues exist to avoid dangling references. Comments and attachments are migrated in a final pass. Jira Sprints are activated to match the original MindGenius Timeline date ranges. We deliver the automation inventory document listing every MindGenius Taskboard swimlane, view filter, and recurring card pattern for the customer's admin to rebuild as Jira board filters or Automation rules.
Platform deep dives
MIndGenius Online
Source
Strengths
Weaknesses
Jira
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 MIndGenius Online and Jira.
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
MIndGenius Online: Not publicly documented.
Data volume sensitivity
MIndGenius Online 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
Answers to the questions buyers ask most during MIndGenius Online to Jira migration scoping. Not seeing yours? Book a call.
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