Project Management migration

Migrate from Matilda Workspace to Jira

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

Matilda Workspace logo

Matilda Workspace

Source

Jira

Destination

Jira logo

Compatibility

80%

8 of 10

objects map 1:1 between Matilda Workspace and Jira.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Matilda Workspace to Jira is a structural migration from an early-stage all-in-one platform to the industry-standard issue tracker used by engineering and product teams at companies of every size. Matilda organizes work in a permission-aware knowledge graph of Teamspaces, Projects, Tasks, Docs, and Chat threads; Jira Software represents the same work as a hierarchy of Issue Types (Epic, Story, Task, Subtask) organized into Projects with configurable workflows, issue fields, and screens. Because Matilda launched in 2024 with a small team and limited public API documentation, we validate each object's schema at migration time and flag any features still marked as coming soon that lack stable field definitions, particularly the Tables and Customers CRM modules. We do not migrate Workflows, Automations, or Reports as code; we deliver a written inventory for the customer's admin to rebuild in Jira's native workflow designer or Automation for Jira.

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

Matilda Workspace logo

Matilda Workspace

What's pushing teams away

  • Users report missing features compared to mature tools like Jira, particularly around advanced reporting, custom workflows, and enterprise-scale integrations.
  • The platform's recent launch (2024) raises concerns about long-term reliability, customer support responsiveness, and whether the product roadmap will be sustained.
  • Some users express frustration that promised features like Tables and Customers CRM are still marked as "coming soon" after initial launch timelines passed.

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How Matilda Workspace objects map to Jira

Each row shows how a Matilda Workspace 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.

Matilda Workspace

Teamspace

maps to

Jira

Project

1:1
Fully supported

Matilda Teamspaces are the top-level organizational container defining permission boundaries and containing all child objects. We map each Teamspace to a Jira Software Project, preserving the Teamspace name as the Jira Project name and using the Teamspace slug as a basis for the Jira Project Key (auto-generated uppercase prefix for issue keys). Jira Project permission schemes and project roles are configured to approximate the Teamspace's permission model during migration.

Matilda Workspace

Project

maps to

Jira

Epic

1:1
Fully supported

Matilda Projects carry start/end dates, status, auto-scheduling, and linked Tasks. We map each Matilda Project to a Jira Epic (Issue Type = Epic) so that the parent-child relationship between Projects and Tasks maps to Epic-Story or Epic-Task in Jira. The Matilda Project name becomes the Epic summary; the Project description migrates to the Epic description field. Project-level custom properties map to Epic-level custom fields.

Matilda Workspace

Task

maps to

Jira

Story or Task

1:1
Fully supported

Matilda Tasks carry assignees, due dates, status, subtasks, and rich-text description. We map top-level Tasks to Jira Story issues and child Tasks to Jira Task issues, with the Jira Epic Link field set to the parent Epic derived from the Matilda Project. Subtasks migrate as Jira Subtask issues linked to their parent Story or Task via the Parent Link field. Task status values map to Jira workflow statuses (To Do, In Progress, In Review, Done) configured per the destination project's workflow scheme.

Matilda Workspace

Subtask

maps to

Jira

Subtask

1:1
Fully supported

Matilda subtasks inherit the parent's assignee, due date, and description structure. Jira Subtask is a distinct Issue Type with a Parent Link field. We preserve the subtask hierarchy by creating Jira Subtask issues with the parent Jira Story or Task as the Parent Link. Jira Subtask does not support further nesting (no sub-subtask), so deeply nested Matilda subtask chains are flattened to Subtasks linked to the top-level parent Story.

Matilda Workspace

Task Dependency

maps to

Jira

Issue Link (Blocks / Blocked By)

lossy
Fully supported

Matilda's auto-schedule engine infers task sequencing and dependency relationships. Jira uses explicit issue links (Blocks, Blocked By, Depends On, Duplicate, etc.) to represent dependencies between issues. We export Matilda dependency data as Jira Issue Links of type Blocks or Blocked By, creating the link records after the parent issues have been inserted so the link targets exist at the time of creation.

Matilda Workspace

Doc

maps to

Jira

Issue Description or Confluence Page

1:1
Fully supported

Matilda Docs are rich-text documents embedded within Projects and linked to Tasks. We export doc content as HTML and map it to the Jira Issue description field for Docs directly associated with a single Task. Docs linked to a Project but not a specific Task are flagged for the customer to decide whether to create a Jira Issue to hold the content, export as a standalone HTML file package, or migrate to Confluence (separate product, separate scope). Links between Docs and related Tasks are preserved as Jira issue links or mentioned in the Jira description.

Matilda Workspace

Chat Thread

maps to

Jira

Issue Comment

1:1
Fully supported

Matilda Chat threads are integrated per-project with messages containing author, content, and timestamp. Jira does not have a native chat thread object. We export chat message content as Jira Issue Comments on the related Jira Epic or Story. The comment author maps to the Jira user by email lookup. Chat threads not linked to a specific Project or Task are exported as a chronological HTML log file for manual reference.

Matilda Workspace

User Assignment

maps to

Jira

User

1:1
Fully supported

We preserve task assignee and project membership data by resolving Matilda user emails against the Jira Cloud or Data Center user directory. Jira assigns issues to User records; the assignee field accepts a Jira User ID. Matilda users without a matching Jira account are held in a reconciliation queue for the customer's admin to provision before record import resumes. Jira Free tier limits user assignment to 10 users; Standard and above support unlimited users.

Matilda Workspace

Custom Field (Project/Task)

maps to

Jira

Custom Field

lossy
Fully supported

Matilda supports custom fields on Projects and Tasks. Custom field types and naming conventions vary by workspace. We inventory all Matilda custom fields during discovery, map them to Jira custom fields of the equivalent type (text, number, date, select, multi-select, user picker), and configure them on the relevant Jira Issue Type Screen so they appear on the Edit and View screens. Jira field context (which issue types and projects a custom field applies to) is set during Jira schema configuration.

Matilda Workspace

Attachment

maps to

Jira

Attachment

1:1
Fully supported

Matilda attachments on Tasks and Docs reference files stored in Matilda. We export attachment metadata (filename, URL, uploader, timestamp) and download the file content. Jira Cloud accepts attachments via multipart upload through the REST API (10 MB per file on Standard, 50 MB on Premium and Enterprise). We upload each file to the related Jira issue and preserve the original filename and creation timestamp. Files exceeding Jira Cloud size limits are flagged in the pre-flight report and delivered as a downloadable file package with Jira issue keys documented for manual reattachment.

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.

Matilda Workspace logo

Matilda Workspace gotchas

High

Tables and Customers modules are not yet generally available

Medium

Early-stage platform with limited public API documentation

Medium

Auto-schedule and AI Copilot generate derived data that may not export cleanly

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • Jira issue type hierarchy requires upfront design

    Matilda has no formal Epic-Story-Task-Subtask chain; Projects contain Tasks and subtasks. Jira enforces an issue type hierarchy where Epics contain Stories and Tasks, Stories can contain Subtasks, and Tasks can contain Subtasks. We design the mapping during scoping: which Matilda Project becomes which Jira Epic, which Tasks become Stories versus Tasks, and how deeply to nest subtasks. Migrations that skip this design step arrive in Jira with every record as a Task or Story with no Epic grouping, forcing a retrospective reclassification that is time-consuming and risks losing link relationships.

  • AI Copilot outputs and auto-schedule dates are not ground truth

    Matilda's AI Copilot generates task hierarchies and project outlines, and the auto-schedule engine infers task sequencing without explicit dependencies. When migrating out of Matilda, these AI-generated relationships may not translate to equivalent automation in Jira. We preserve task hierarchy as explicit Jira Issue Links and subtask Parent Links, and we carry the AI-generated due dates as structured date fields on each Jira issue rather than relying on them as committed delivery dates. Jira's sprint planning and scheduling engine recalculates based on the actual sprint commitment.

  • Matilda's Tables and Customers modules are not migratable

    The Customers CRM and Tables database modules are listed as coming soon on the Matilda product site with no confirmed general availability date. These modules lack a stable, publicly documented schema. We do not migrate any objects referencing these modules. If a customer's workspace uses Matilda's CRM or database features in beta, we surface them in the pre-flight report as deferred objects and note that no data can be moved until GA is confirmed and the schema is publicly documented.

  • Limited public API documentation increases export risk

    Matilda Workspace's public API surface area is not well-documented in third-party sources. Export workflows that rely on API access may face undocumented rate limits, authentication changes, or schema shifts between product updates. We validate API availability during discovery and fall back to UI-based export where API access is restricted or undocumented. Large workspaces (over 5,000 tasks) that cannot use the API require manual UI-based export with higher risk of data inconsistency and longer migration timelines.

  • Jira permission schemes and project roles do not auto-migrate

    Matilda's Teamspace permission model (permission-aware knowledge graph) does not map directly to Jira's permission scheme and project role model. Jira requires explicit permission schemes per project defining who can Browse Projects, Edit Issues, Administer Projects, and so on. We map Matilda Teamspace membership to Jira project roles (Administrators, Members, Viewers) and apply the closest Jira permission scheme during migration, but the customer's Jira admin reviews and tightens permissions post-migration. Jira Cloud permission schemes also interact with Atlassian organization-level users and groups, which requires coordination during user provisioning.

Migration approach

Six steps for a successful Matilda Workspace to Jira data migration

  1. Discovery and Jira edition selection

    We audit the source Matilda workspace across Teamspace count, Project count, Task and subtask volume, Doc count, attachment file sizes, custom field inventory, and user count. We pair this with a Jira edition decision: Jira Free covers up to 10 users and is appropriate for small teams evaluating fit; Jira Standard ($7.75/user/mo) covers unlimited projects, issues, and storage; Jira Premium ($15.50/user/mo) adds advanced roadmaps, Jira product discovery, and Atlassian Intelligence features. Jira Data Center is an option for organizations with strict data residency or on-premises requirements, but it requires infrastructure provisioning that extends the project timeline. The discovery output is a written migration scope document covering every Matilda object and its Jira target.

  2. Jira schema design and issue type configuration

    We design the destination Jira project structure. This includes creating Jira Projects (mapped from Matilda Teamspaces), configuring Issue Type Schemes to define which issue types (Epic, Story, Task, Subtask, Bug) are available per project, setting up Workflows (Jira comes with a default agile workflow; teams with custom statuses configure custom workflows), mapping Matilda statuses to Jira workflow statuses, and creating custom fields with appropriate types and contexts. We configure the Epic Link field on Stories and Tasks to connect them to the parent Epic. If Jira Premium or Data Center is selected, we enable advanced features like fix versions, sprints, and components during schema design. Schema is validated in a Jira Sandbox or test project before production migration.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox or test project using a representative sample of production data (at minimum 10% of Task volume). The customer's project manager or Jira admin spot-checks 25-50 randomly sampled Jira issues against the Matilda source, verifies that Epic grouping is correct, that assignees resolve, that custom field values appear, and that subtask hierarchy matches the Matilda structure. Any mapping corrections are documented and applied before production migration begins. Jira's built-in CSV importer can be used for parallel validation of record counts against the Matilda source export.

  4. User provisioning and assignment mapping

    We extract every distinct Matilda user referenced as an assignee on Tasks, Projects, and Docs, and match by email against the Jira destination's user directory. Jira requires that users exist in the Atlassian organization before issues can be assigned to them. Matilda users without a matching Jira account are held in a reconciliation queue for the customer's admin to provision (invite to the Atlassian organization, assign appropriate Jira product access). Migration cannot proceed past the issue import phase if Owner resolution is incomplete, because Jira rejects issues with invalid assignee references.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Projects (from Matilda Teamspaces), Epics (from Matilda Projects with Epic Link set), Stories and Tasks (from Matilda Tasks with Epic Link resolved to parent Epic), Subtasks (from Matilda subtasks with Parent Link resolved), Issue Links (dependency links after parent issues exist), Attachments (uploaded to each Jira issue via REST API), Comments (chat thread exports as comments on related Jira issues), and Custom Field values (applied during issue creation). Each phase emits a row-count reconciliation report before the next phase begins. Jira's Bulk API handles high-volume issue creation with rate limiting and retry logic.

  6. Cutover, validation, and automation handoff

    We freeze Matilda workspace write access during cutover and run a final delta migration of any records created or modified during the migration window. Jira becomes the system of record. We deliver a written inventory of every Matilda workflow, automation rule, and reporting view with its Jira equivalent documented for the customer's admin to rebuild in Jira's native workflow designer or Automation for Jira. Jira Automation for Jira (Cloud) or ScriptRunner (Data Center) are the common rebuild targets for automated actions that existed in Matilda. We support a one-week hypercare window where we resolve any record reconciliation issues raised by the customer's team.

Platform deep dives

Context on both ends of the pair

Matilda Workspace logo

Matilda Workspace

Source

Strengths

  • Combines Docs, Projects, Tasks, Chat, and Customers in a single interconnected workspace
  • AI Copilot auto-generates task hierarchies, project outlines, and subtasks from minimal input
  • Auto-schedule engine handles task sequencing and dependency resolution automatically
  • Free tier with unlimited users reduces barrier to entry for small teams
  • Context Engine maintains permission-aware relationships between all workspace objects

Weaknesses

  • Platform launched in 2024 with a small team—long-term product stability is unproven
  • CRM (Customers) and database (Tables) modules are still marked as "coming soon"
  • Limited public API documentation makes programmatic export and migration more complex
  • Smaller user base means fewer community templates, integrations, and third-party resources than established PM tools
  • G2 reviews note missing enterprise features compared to Jira or monday.com for complex workflow requirements
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 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 Matilda Workspace and Jira.

  • Object compatibility

    B

    3 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

    Matilda Workspace: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Matilda Workspace to Jira 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 Matilda Workspace to Jira data migrations

Answers to the questions buyers ask most during Matilda Workspace to Jira migration scoping. Not seeing yours? Book a call.

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Migrations under 5,000 tasks and a single Jira project land between two and four weeks. Migrations with multiple Teamspaces, complex subtask hierarchies, Jira Premium or Data Center configuration, or large attachment volumes (over 10 GB of files) move to six to ten weeks because of Jira schema design, issue type configuration, workflow setup, and user provisioning coordination. Jira edition selection (Free versus Standard versus Premium) affects the timeline because higher tiers support more automation and custom field options that require additional configuration.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Matilda Workspace.
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