Project Management migration
Field-level mapping, validation, and rollback between Tability and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Tability
Source
Jira
Destination
Compatibility
7 of 11
objects map 1:1 between Tability and Jira.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Tability to Jira is a paradigm shift, not a record copy. Tability organizes work around Objectives and Key Results with a weekly check-in cadence focused on goal progress. Jira organizes work around Projects, Epics, Stories, Tasks, and Bugs with sprint-based delivery and issue status workflows. There is no native OKR concept in Jira; teams that migrate must decide whether Objectives become Jira Projects or Epics, whether Key Results become Stories or sub-tasks, and how to preserve the progress percentage and check-in history that Tability tracked. We export from Tability via CSV (no public API), reconstruct the check-in log from the activity stream, and map Tability's metric types (number, percentage, currency, binary) to Jira custom fields or story point estimates. We do not migrate Tability AI-generated goal drafts, Standups, or Dashboard layouts. Jira Data Center is being sunset by March 2029 per Atlassian's announcement; if you are migrating from a Data Center instance, Jira Cloud is the standard destination with a different migration path than our standard Tability CSV approach.
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 Tability 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.
Tability
Objective
Jira
Project or Epic
1:manyTability Objectives map to Jira Projects if the Objective represents a standalone initiative, or to Jira Epic within an existing Project if Objectives are sub-divisions of a larger Jira Project. We advise on this split during scoping based on the customer's Jira setup. The Objective title, description, owner, start/end dates, and current status migrate. Parent-child Objective hierarchies map to Epic-to-Epic links or Jira issue dependencies (Blocks, is Blocked By). We preserve the Objective's overall progress percentage as a custom number field so admins can reference it post-migration.
Tability
Key Result
Jira
Story or Sub-task
1:1Tability Key Results map to Jira Stories in most cases, or to Sub-tasks if the Key Result is tightly scoped to a parent Story. The metric type (number, percentage, currency, binary) maps to a corresponding Jira custom field type: number fields for numeric KRs, percentage fields for percentage KRs, currency fields for currency KRs, and a checkbox custom field for binary KRs. Current value, target value, and unit label transfer as field values. We cannot preserve Tability's auto-calculated progress percentage; instead we store the raw current and target values and let Jira admins decide whether to display progress via custom dashboards.
Tability
Task
Jira
Task or Sub-task
1:1Tability Tasks linked to Objectives map to Jira Tasks or Sub-tasks depending on the customer's Jira issue hierarchy preference. The assignee, due date, and completion status migrate. We preserve the Objective linkage as a Jira Epic Link custom field or as a parent Epic association. If Tability Tasks have no Objective linkage, they migrate as standalone Jira Tasks. Tability Task dependencies map to Jira issue dependencies (Blocks, is Blocked By, Clone, Relates To).
Tability
Check-in
Jira
Comment on Issue
1:manyTability check-ins (timestamped progress updates with author notes) merge into Jira as Comments on the mapped Epic or Story. We export the full check-in history as a dated log (date, author, note, updated progress value) and post each entry as a Jira Comment in chronological order with the author attributed. Jira's native activity stream then shows the goal's evolution over time. If the customer is on a Tability tier that restricts activity log access, we flag the gap and advise on pre-export screenshots for critical check-in periods.
Tability
User and Owner
Jira
User
1:1Tability Owners (users assigned to Objectives or Key Results) match by email to Jira users in the destination Jira Cloud site. We extract all owner references from the export and resolve against Jira's user directory. Owners without a matching Jira user go to a reconciliation queue; the customer's Jira admin provisions any missing users before record import proceeds. Unmatched owners are noted as ghost assignees requiring manual reassignment post-migration.
Tability
Strategy Map
Jira
Issue Dependencies
lossyTability's Strategy Map visualizes cross-team Objective dependencies and alignment. There is no export format for the dependency graph; we query each Objective's linked dependencies manually from the Tability UI and construct a structured adjacency list. For organizations with fewer than 20 cross-linked Objectives, we reconstruct dependencies as Jira issue links (Blocks, is Blocked By, Relates To) during import. For organizations with more than 20 cross-linked Objectives, we flag this as a manual re-linkage gap and deliver a dependency matrix document for the customer's admin to rebuild in Jira after migration.
Tability
Custom Properties
Jira
Custom Fields
lossyTability custom fields on Objectives and Key Results export as name-value pairs in the CSV. We map these to Jira custom fields, creating them with matching names and appropriate field types (text, number, date, select, multi-select) during the Jira schema preparation phase. We apply type coercion where Tability's loosely-typed custom fields map to Jira's strictly-typed equivalents. Mismatched type conflicts are flagged for admin resolution.
Tability
Tags and Labels
Jira
Labels
1:1Tags applied to Tability Objectives and Key Results export as string arrays. We map them to Jira Labels on the corresponding issues. Labels are the closest Jira equivalent; there is no native tagging taxonomy in Jira. We do not preserve tag hierarchy or color coding from Tability.
Tability
Standups
Jira
None
1:1Tability Standups are async daily updates scoped to individuals. They are transient, conversation-level data with no structural equivalent in Jira. We do not migrate standups. We flag them as out of scope during scoping so customers do not expect this data to carry over.
Tability
Dashboards
Jira
None
1:1Tability Dashboards are saved view configurations with chart layout and filter state. These are UI-level constructs without semantic data content. We do not migrate dashboard layouts. We deliver a written inventory of the customer's dashboards and their filter logic so the customer's Jira admin can recreate equivalent Jira board configurations post-migration.
Tability
AI Goal Recommendations
Jira
None
1:1Tability AI-generated goal drafts and suggestions exist within the platform's AI feature layer and are not stored as exportable database records. They cannot be migrated to any destination platform. We document this boundary upfront so customers do not expect their AI-generated draft library to carry over. Jira's own Atlassian Intelligence features regenerate recommendations post-migration.
| Tability | Jira | Compatibility | |
|---|---|---|---|
| Objective | Project or Epic1:many | Fully supported | |
| Key Result | Story or Sub-task1:1 | Fully supported | |
| Task | Task or Sub-task1:1 | Fully supported | |
| Check-in | Comment on Issue1:many | Fully supported | |
| User and Owner | User1:1 | Fully supported | |
| Strategy Map | Issue Dependencieslossy | Mapping required | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| Tags and Labels | Labels1:1 | Mapping required | |
| Standups | None1:1 | Not supported | |
| Dashboards | None1:1 | Not supported | |
| AI Goal Recommendations | None1:1 | Not 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.
Tability gotchas
No documented public API for bulk exports
Check-in history is not exported in standard CSV
AI-generated goal drafts are not structural data
Per-seat pricing with no published rate card
Strategy Map dependency graph has no export format
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
Discovery and Jira project configuration
We audit the source Tability workspace for Objectives, Key Results, Tasks, check-in volumes, user count, and Strategy Map complexity. We simultaneously assess the destination Jira Cloud site for existing Projects, custom fields, workflows, and issue type schemes. If the destination Jira is unconfigured, we provision a new Project with the appropriate issue type hierarchy (Epic > Story > Task > Sub-task), create the necessary custom fields to hold Key Result metric data (number, percentage, currency, checkbox), and configure Labels for Tability tag migration. The discovery output is a written scope document and Jira configuration plan.
Tability CSV export and activity log reconstruction
We coordinate the Tability CSV export with the customer's workspace admin, exporting Objectives, Key Results, and Tasks in separate batches to avoid row limit truncation. We simultaneously extract the activity log for check-in history reconstruction. For customers on tiers that restrict activity log access, we flag the limitation and advise on pre-export screenshots. If the Strategy Map has more than 20 cross-linked Objectives, we note this as a manual re-linkage gap rather than a fragile automated extraction. The export is reviewed for completeness and data quality before transformation begins.
Data transformation and Objective-to-Epic mapping design
We transform the Tability export into Jira-compatible CSV format. Key Result metric types (number, percentage, currency, binary) map to the pre-created Jira custom fields. Objectives map to Epics in Jira; the split between Project-level and Epic-level mapping is confirmed against the customer's existing Jira structure or the new configuration plan. We reconstruct the check-in log as Jira Comments with the original author and timestamp. Strategy Map dependencies transform to Jira issue links (Blocks, is Blocked By). Custom fields and Labels map directly. We run a dry-run transform against a Jira Sandbox if one exists, or against a test Project in the destination Cloud site.
Owner reconciliation and user provisioning
We extract every distinct Tability Owner referenced on Objectives, Key Results, and Tasks and match by email against the Jira destination's user directory. Owners without a matching Jira user go to a reconciliation queue. The customer's Jira admin provisions any missing users before record import proceeds. If the customer uses an identity provider (Okta, Azure AD, Google Workspace) connected to Jira via Atlassian Access, we verify that user provisioning can be automated. Migration cannot proceed past Epic and Story import without resolved OwnerId references.
Production migration in dependency order
We run production migration in the following order: Jira custom fields and Labels (schema, no data), Jira Epics (from Objectives), Jira Stories (from Key Results) linked to parent Epics, Jira Tasks and Sub-tasks (from Tability Tasks) linked to parent Stories or Epics, Comments (reconstructed check-ins) attached to the correct Epic or Story, and Labels (from Tability Tags) attached to issues. Each phase emits a row-count reconciliation report. If the Strategy Map has fewer than 20 linked Objectives, dependency links are created during this phase; otherwise, the dependency matrix document is delivered as the handoff artifact.
Cutover, validation, and dashboard rebuild handoff
We freeze Tability writes during cutover and run a final delta migration for any records modified during the migration window. We validate by spot-checking 20-30 random migrated records against the source Tability export, confirming Epic titles, Story custom field values, check-in comment counts, and assignee resolution. We deliver a written artifact inventory covering Tability Dashboards (for manual rebuild in Jira), Tability Integrations (for manual re-configuration in Jira), and the Strategy Map dependency matrix (for manual re-linkage if applicable). We support a one-week hypercare window for reconciliation issues. We do not rebuild Tability OKR workflows or check-in cadences as Jira automation rules inside the migration scope.
Platform deep dives
Tability
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Tability and Jira.
Object compatibility
4 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
Tability: Not publicly documented.
Data volume sensitivity
Tability 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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