Project Management migration

Migrate from WeTrack to Jira

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

WeTrack logo

WeTrack

Source

Jira

Destination

Jira logo

Compatibility

50%

6 of 12

objects map 1:1 between WeTrack and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from WeTrack to Jira is a cross-platform migration where the source lacks a documented public API and the destination uses a different data model. WeTrack organizes work around Projects and nested Tasks with RAG status and risk registers for major sporting events; Jira uses Projects containing Issues with configurable Issue Types and workflows. We resolve this structural difference by mapping WeTrack Tasks to Jira Story or Task issue types, preserving WeTrack RAG values in Jira priority or custom status fields, and maintaining parent-child relationships through Jira Sub-task linking. Because WeTrack does not publish API documentation, we request data exports through WeTrack's account management team during scoping, or we work from customer-extracted CSV data. We do not migrate WeTrack's Planning, Sustainability, or Operations module configurations as Jira equivalents; we deliver a written inventory of these for the customer's admin to rebuild in 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

WeTrack logo

WeTrack

What's pushing teams away

  • Limited third-party integration flexibility, with one reviewer noting the platform should allow more seamless integration with external tools.
  • Low review volume and sparse public documentation make it difficult to assess the platform's current state and roadmap before committing.
  • The platform's niche focus on major events means small teams or organisations running fewer, smaller projects may find the feature set over-engineered for their needs.
  • Post-acquisition by Momentus Technologies, some existing customers report uncertainty about pricing changes and support continuity.

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 WeTrack objects map to Jira

Each row shows how a WeTrack 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.

WeTrack

Project

maps to

Jira

Project

1:1
Fully supported

WeTrack Projects map directly to Jira Projects. We preserve the project name, description, start and end dates, and status. WeTrack's RAG-overall indicator maps to a Jira custom priority field or is noted in the project description field. Project key prefixes are assigned during Jira project creation based on the customer's naming convention. Projects are created before any child Issues to satisfy Jira's parent-project dependency.

WeTrack

Task

maps to

Jira

Issue (Story or Task type)

1:1
Fully supported

WeTrack Tasks map to Jira Issues with an Issue Type of Story or Task. The mapping decision is made during scoping based on whether the task represents deliverable work (Story) or a discrete action item (Task). WeTrack's due date, start date, and estimated duration map to Jira's Due Date, Start Date, and Original Estimate fields. Assignee maps by email match to Jira User.

WeTrack

Subtask

maps to

Jira

Issue (Sub-task type)

1:1
Fully supported

WeTrack Subtasks map to Jira Sub-task Issues linked to their parent Task or Story via the Jira Parent Link field. WeTrack's auto-sync date behavior is noted as a manual post-migration configuration in Jira: the customer's admin sets Due Date on the parent issue and updates subtask dates in a follow-up reconciliation pass. Subtask order is preserved through the Jira reordering API after migration.

WeTrack

Risk Register

maps to

Jira

Issue (custom Risk type or custom fields on Issue)

lossy
Fully supported

WeTrack Risk Registers with Inherent Likelihood and Impact values map to Jira Issues using a custom Risk Issue Type. If the customer does not have a Risk issue type configured, we map RAG status, likelihood value, impact value, and risk owner to custom fields on the standard Issue object: wt_likelihood__c (number), wt_impact__c (number), wt_risk_owner__c (user), and wt_risk_status__c (picklist with RAG values). WeTrack's inherent risk score calculation is preserved as a custom formula field or computed post-migration.

WeTrack

RAG Status Fields

maps to

Jira

Custom Priority or Status field

lossy
Mapping required

WeTrack RAG status values (Red, Amber, Green, Grey) have no native Jira equivalent. We create a custom picklist field wt_rag_status__c on the Issue object with the four WeTrack values preserved. For customers who prefer to use Jira's native Priority field, we create a mapping table (Red > Highest, Amber > High, Green > Medium, Grey > Low) and document it in the migration handoff. The cascade behavior from parent to subtask in WeTrack is not automated in Jira and requires a post-migration workflow rule or manual process update.

WeTrack

Job Category

maps to

Jira

Labels or Component

lossy
Fully supported

WeTrack Job Categories restrict valid assignment options to prevent data entry errors. We map active Job Category values to Jira Labels on Issues, allowing filtering by category in JQL (labels in ('Event Operations', 'Venue Management')). If the customer prefers a more structured approach, we map Job Categories to Jira Components with the relevant project. Inactive or orphaned categories are flagged in the migration report for manual reassignment.

WeTrack

Sustainability Record

maps to

Jira

Custom Object or Custom Fields on Project

lossy
Fully supported

WeTrack's Sustainability module tracks ESG indicators per project (carbon metrics, waste reduction, accessibility compliance). Jira has no native ESG object. We create a Jira custom object ESG_Metric__c with fields for metric_name__c, metric_value__c, unit__c, reporting_period__c, and a lookup to the Jira Project. If the customer has fewer than 10 ESG metric types, we alternatively use custom fields on the Jira Project object to avoid schema complexity.

WeTrack

Incident Report

maps to

Jira

Issue (Task or Bug type)

1:1
Fully supported

WeTrack Incident Reports map to Jira Issues. The mapping uses Task type for operational incidents (venue safety, scheduling conflicts) and Bug type for technical incidents (system failures, data integrity issues). Incident severity, reported-by user, and resolution notes migrate to custom fields: wt_incident_severity__c, wt_incident_reporter__c, and wt_incident_resolution__c. Incident date is preserved in the Issue Created Date or a custom wt_incident_date__c field.

WeTrack

Attachment

maps to

Jira

Attachment

1:1
Fully supported

WeTrack file attachments (event schedules, risk documents, sustainability reports) migrate to Jira Issue Attachments. File metadata (name, type, size, upload date) is preserved. Actual file content migrates directly if the Jira instance has attachment storage enabled; Jira Cloud has a 10MB per-file limit and 1GB storage at the free tier, which may require the customer to upgrade for large attachment volumes.

WeTrack

User and Owner

maps to

Jira

User

1:1
Fully supported

WeTrack Users and Task Owners map to Jira Users by email address. We extract all distinct user references from WeTrack data and match them against the Jira destination instance. Users without an existing Jira account go into a reconciliation queue for the customer's admin to provision before record import resumes. WeTrack inactive or deactivated users are flagged and can be set as Jira inactive users with the historical assignments preserved.

WeTrack

Custom Fields

maps to

Jira

Custom Fields

lossy
Mapping required

WeTrack custom fields on Projects and Tasks map to Jira custom fields of equivalent type (text, number, date, picklist). WeTrack multi-select values map to Jira label-style custom fields. Custom field schema is pre-deployed into the Jira destination before data migration begins, using Jira's Bulk Custom Field Creation API. Fields that cannot be mapped (due to type incompatibility or Jira field limits) are flagged in the handoff report for manual re-entry.

WeTrack

Event and Venue Records

maps to

Jira

Project Description or Custom Fields

lossy
Fully supported

WeTrack Event and Venue records represent specific events (Wimbledon, Expo 2020) and their physical locations. These map to Jira Project Description fields supplemented with custom fields: wt_event_type__c, wt_venue_name__c, wt_venue_location__c, and wt_event_date__c. If the customer manages recurring events, each event becomes a Jira Project linked to a parent Venue Project via Jira's Project Links feature.

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.

WeTrack logo

WeTrack gotchas

High

No publicly documented API endpoint reference

Medium

Post-acquisition product positioning is unclear

Medium

Custom fields may not be exportable via standard reports

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

  • WeTrack has no documented public API

    WeTrack does not publish a developer API reference or public API documentation on wetrack.com or gomomentus.com. We cannot programmatically read or write WeTrack data via REST or GraphQL without a documented endpoint. We work around this by requesting read-only data exports directly from WeTrack's support or account management team during scoping. If a formal export is not available, migration requires manual CSV or spreadsheet extraction by the customer, which limits what objects we can reliably transfer and may require us to flag records with missing dependencies (parent IDs, user references) that cannot be cross-resolved.

  • RAG status has no native Jira equivalent

    WeTrack's RAG (Red/Amber/Green) status field and its auto-cascade behavior from parent tasks to subtasks have no direct Jira equivalent. Jira's native Priority field uses four levels (Highest, High, Medium, Low) that do not align one-to-one with WeTrack's RAG scale plus a Grey/Unknown state. We create a custom wt_rag_status__c picklist field to preserve the full RAG spectrum, but the parent-to-subtask cascade that WeTrack handles automatically requires a Jira automation rule or manual update process post-migration that the customer's admin must configure.

  • WeTrack data export scope may not include all custom fields

    WeTrack supports custom fields on Projects and Tasks, but standard built-in reports may not surface all custom field data in CSV exports. We request that customers pull a full data export during scoping and cross-reference it against the live WeTrack UI to identify any fields that appear in the UI but are absent from the export. Custom fields that cannot be exported are mapped as supplemental key-value records in a wt_custom_fields__c text field on the Jira Issue, with the original field name and value preserved as a JSON string for manual post-migration parsing.

  • Jira Sub-task linking can break during bulk import

    When migrating large volumes of Subtasks to Jira, the parent Issue must exist before the Sub-task is created. If the parent Issue creation fails or is retried due to an API rate limit, any Sub-task created against the non-existent parent will fail silently or land as orphaned records. We sequence the migration as: (1) create all parent Issues, (2) reconcile the parent Issue IDs, (3) create all Sub-tasks with resolved Parent Link. This two-pass approach adds time but ensures parent-child relationships are intact. Jira cloud-to-cloud migration posts in the Atlassian Community confirm that Sub-task parent linkage is the most commonly broken relationship in bulk import scenarios.

  • Post-acquisition product variant ambiguity

    WeTrack appears across wetrack.com, gomomentus.com, and a separate US App Store listing published by Ungerboeck Systems International. The exact product variant (WeTrack Original vs Momentus Venue Management vs Ungerboeck event platform), data residency, support terms, and contract model may differ between these product lines. We verify which specific product instance the customer is using during the discovery call and note that WeTrack support team data export requests should be directed to the correct account management contact for the customer's active product line.

Migration approach

Six steps for a successful WeTrack to Jira data migration

  1. Discovery and WeTrack export coordination

    We conduct a scoping call to identify the WeTrack product variant (original, Momentus, or Ungerboeck), the number of active Projects, Tasks, Subtasks, Risk Registers, Incident Reports, and Sustainability records, and the user count. We request data exports from WeTrack's account management team or coordinate with the customer on CSV extraction. We identify any custom fields present in the WeTrack UI but absent from the export, and we inventory Jira destination edition (Free, Standard, or Premium) to confirm custom field and attachment storage limits. The discovery output is a written scope document with record counts per object and a list of any fields requiring manual extraction.

  2. Jira schema deployment

    We deploy the destination Jira schema into a Sandbox or development instance. This includes creating the Jira Project with the agreed key prefix, creating a custom Risk Issue Type (if applicable), creating custom fields for RAG status (wt_rag_status__c), risk metadata (wt_likelihood__c, wt_impact__c), incident fields, ESG metrics, and any WeTrack custom fields that lack a native Jira type. We configure Labels or Components to replace WeTrack Job Categories, and we set up the wt_rag_status__c picklist with the customer's active RAG values. Schema deployment uses Jira's Bulk Custom Field creation API with validation that field names do not conflict with existing Jira system fields.

  3. User reconciliation

    We extract every distinct WeTrack user referenced on Task assignments, Risk Register owner fields, and Incident Report reporter fields. We match these by email address against the Jira destination instance's user table. Users without an existing Jira account go into a reconciliation queue; the customer's Jira admin provisions the missing accounts (or sets them as inactive if the original user is no longer active). Migration cannot proceed past this step because Jira Issue assignment requires a valid OwnerId reference. We flag any WeTrack users who are assigned to more than 50 records as potential role consolidation candidates.

  4. Sandbox migration and mapping validation

    We run a full migration into the Jira Sandbox using production-equivalent data volume. The customer's project management lead reconciles record counts (Projects in, Issues in, Sub-tasks in, Risks in, Incidents in), spot-checks 25-50 randomly sampled Issues against the WeTrack source for field-level accuracy, and reviews the RAG status mapping and parent-child subtask linking. Any mapping corrections (field type mismatches, incorrect picklist values, missing custom fields) are documented and applied to the production schema before the production migration begins. This step prevents post-production remediation which is more disruptive for teams actively using Jira.

  5. Production migration in dependency order

    We run production migration in the following sequence: Jira Projects (created with descriptions and key prefixes), Jira Users (provisioned and validated), Jira Issues as parent records (Stories and Tasks with all standard and custom fields populated, without Sub-tasks), Jira Sub-tasks (created with resolved Parent Link pointing to the parent Issue ID from phase 3), Risk Register records (mapped to Risk Issue Type or standard Issue with risk custom fields), Incident Reports, ESG/Sustainability records, and Attachments last. Each phase emits a row-count reconciliation report before the next phase begins. API rate limiting is handled with exponential backoff; Jira Cloud's rate limit for most REST endpoints is 0 requests per second with burst capacity that we throttle to avoid 429 responses.

  6. Cutover, delta migration, and workflow handoff

    We freeze WeTrack write access during the cutover window, run a final delta migration of any WeTrack records created or modified after the initial production migration started, then enable Jira as the system of record. We deliver a written inventory of WeTrack Planning module configurations, Sustainability module metric definitions, and any RAG cascade automation rules that require rebuilding in Jira as Jira automation rules or scripts. We do not rebuild these as Jira configurations inside the migration scope; that work belongs to the customer's Jira admin or an Atlassian partner. We support a five-business-day hypercare window for reconciliation issues raised by the project management team.

Platform deep dives

Context on both ends of the pair

WeTrack logo

WeTrack

Source

Strengths

  • Purpose-built for large-scale event delivery with a data model designed around complex, multi-phase project timelines.
  • Integrated Planning, Risk, Sustainability, and Operations modules avoid the need for separate tools.
  • Auto-syncing of parent task dates to subtasks and predictable RAG update schedules reduce manual coordination overhead.
  • Mobile app provides full suite access on any device for field and operations teams.
  • Designed after the London 2012 Olympics with a track record across high-profile sporting and exhibition events.

Weaknesses

  • Limited public API documentation makes automated migration scripting and third-party integrations difficult to develop.
  • Small team size (11-50 employees per Crunchbase) and low web activity signals suggest a product that may be under-resourced post-acquisition.
  • Sparse independent reviews (single Capterra rating of 4.0) make it hard to gauge real-world customer satisfaction reliably.
  • No self-serve pricing page means prospective customers must contact sales, adding friction to the evaluation and migration planning process.
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 WeTrack 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

    WeTrack: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your WeTrack 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 WeTrack to Jira data migrations

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

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Most migrations land between three and five weeks for accounts with fewer than 2,000 Projects, 15,000 Tasks, and no complex risk register or ESG metric histories. Migrations with large risk registers (over 1,000 records), extensive incident report volumes, ESG sustainability tracking with multiple metric types, or multi-phase event programmes with deep subtask nesting move to seven to twelve weeks because of WeTrack export coordination, Jira custom schema deployment, RAG-to-status transformation testing, and parent-child hierarchy resolution. The primary variable is how quickly WeTrack's account management team can deliver a data export or whether the customer must perform manual CSV extraction.

Adjacent paths

Related migrations to explore

Ready when you are

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