Project Management migration

Migrate from Tability to Jira

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

Tability logo

Tability

Source

Jira

Destination

Jira logo

Compatibility

64%

7 of 11

objects map 1:1 between Tability and Jira.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Tability logo

Tability

What's pushing teams away

  • Teams outgrow the platform as OKR programs scale across departments, citing insufficient cross-team visibility and reporting depth for organizations beyond 50-100 users
  • Layout and navigation UX frustrates power users who need fast access to objectives and quick-check workflows, with multiple reviews flagging unnecessary complexity in the interface
  • The platform skews toward simple weekly check-ins rather than strategic planning, leading teams who want roadmapping and portfolio-level goal management to seek more capable alternatives
  • Limited API and automation capabilities push technically-oriented teams toward platforms with better programmatic access and custom workflow support
  • Pricing becomes less competitive at scale, especially when teams require advanced analytics, SSO, and audit capabilities available only on higher tiers

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 Tability objects map to Jira

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

maps to

Jira

Project or Epic

1:many
Fully supported

Tability 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

maps to

Jira

Story or Sub-task

1:1
Fully supported

Tability 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

maps to

Jira

Task or Sub-task

1:1
Fully supported

Tability 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

maps to

Jira

Comment on Issue

1:many
Fully supported

Tability 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

maps to

Jira

User

1:1
Fully supported

Tability 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

maps to

Jira

Issue Dependencies

lossy
Mapping required

Tability'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

maps to

Jira

Custom Fields

lossy
Mapping required

Tability 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

maps to

Jira

Labels

1:1
Mapping required

Tags 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

maps to

Jira

None

1:1
Not supported

Tability 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

maps to

Jira

None

1:1
Not supported

Tability 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

maps to

Jira

None

1:1
Not supported

Tability 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.

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.

Tability logo

Tability gotchas

High

No documented public API for bulk exports

High

Check-in history is not exported in standard CSV

Medium

AI-generated goal drafts are not structural data

Medium

Per-seat pricing with no published rate card

Low

Strategy Map dependency graph has no export format

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

  • No direct OKR concept in Jira means Objectives require conceptual redesign

    Jira has no native Objectives and Key Results abstraction. When migrating from Tability, the fundamental question is what an Objective becomes in Jira: a Project, an Epic, a Label, or a custom field? We advise on this during scoping and map Objectives to Epics by default, but the decision affects how teams navigate and filter goal-level data post-migration. Teams that rely on Tability's quarterly Objective cadence need to rebuild that navigation layer in Jira using Jira Filters, Dashboards, or third-party OKR apps (K Goals, Structure for Jira) if they want to retain the quarterly review workflow.

  • Tability CSV export drops check-in history and has row limits

    Tability does not publish a public REST API. Migration relies on the built-in CSV export, which captures current progress values and status but omits the check-in log—the dated trail of progress updates with author notes. We reconstruct check-in history by exporting the activity log separately and merging it with the CSV by Objective and Key Result ID. If the activity log is inaccessible on the customer's tier, we flag the gap and advise on pre-export screenshots. Additionally, large workspaces may hit Tability's CSV row limits, requiring multiple batch exports and dataset reconstruction.

  • Progress percentage does not survive migration in native form

    Tability auto-calculates progress percentage from current vs. target value on Key Results. Jira has no native progress percentage field on issues. We store the raw current and target values in Jira custom fields, but the calculated percentage is not preserved as a Jira-native metric. Admins who want progress % visibility must build it via Jira custom dashboards, Calculated Fields for Jira apps, or reporting tools connected to the Jira API. We document the calculation formula so it can be rebuilt.

  • Jira Data Center sunset affects migration path if you are also moving off Data Center

    Atlassian is sunsetting Jira Data Center by March 2029. If the destination Jira is a Data Center instance rather than Jira Cloud, the customer's migration path and timeline differ significantly. Our Tability-to-Jira CSV-based approach applies to Jira Cloud destinations. If the customer is moving from Tability to a new Jira Data Center instance (which would be a short-term decision given the sunset), we advise redirecting to Jira Cloud instead. This gotcha is only relevant for customers who currently use Jira Data Center and are evaluating alternatives to Atlassian Cloud.

  • Strategy Map dependency graph has no export and is fragile above 20 linked Objectives

    The cross-team alignment visualization in Tability's Strategy Map is a UI-level construct with no structured data export. We export a best-effort adjacency list by querying each Objective's linked dependencies manually from the UI, but this is fragile for organizations with more than 20 cross-linked Objectives. For large dependency graphs, we flag the gap and deliver a dependency matrix document for manual re-linkage planning on the destination Jira rather than attempting an automated reconstruction that risks breaking the graph structure.

Migration approach

Six steps for a successful Tability to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Tability logo

Tability

Source

Strengths

  • Weekly automated check-in reminders reduce manager overhead and keep OKR conversations flowing without dedicated follow-up
  • AI goal generation speeds up the goal-writing process for teams new to OKR methodology
  • Multiple view modes (list, Kanban, dashboard, Strategy Map) accommodate different roles from contributor to executive
  • Native Microsoft Teams integration makes Tability accessible within the Microsoft 365 environment where many enterprise teams already live
  • Strategy Map provides visual cross-team alignment without requiring complex manual linking of objectives

Weaknesses

  • Limited API surface means programmatic migration and automation require workarounds or manual export/import steps
  • Reporting and dashboard capabilities are basic compared to enterprise OKR platforms, with users reporting insufficient visibility at scale
  • Layout and navigation UX receives consistent criticism in user reviews, particularly for power users who interact with the tool frequently
  • No native time-tracking or resource-planning features, making it unsuitable for teams that want OKRs embedded within broader project delivery
  • Custom field and object extensibility is minimal, constraining organizations that need to model domain-specific Key Result types
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?

Moderate Project Management migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Tability and Jira.

  • Object compatibility

    C

    4 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

    Tability: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Tability 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 Tability to Jira data migrations

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

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Migrations under 100 Objectives, 500 Key Results, and 1,000 Tasks with no Strategy Map complexity land in three to five weeks. Migrations with complex cross-linked Strategy Maps (more than 20 dependencies), restricted activity log access, or organizations requiring Jira configuration before import (new Projects, custom fields, issue type schemes) move to eight to twelve weeks. Jira Data Center customers facing the 2029 sunset have a different timeline because the destination decision itself requires evaluation.

Adjacent paths

Related migrations to explore

Ready when you are

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