Project Management migration

Migrate from Favro to Jira

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

Favro logo

Favro

Source

Jira

Destination

Jira logo

Compatibility

82%

9 of 11

objects map 1:1 between Favro and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Favro to Jira Software is a structural migration that reshapes how work items are organized. Favro's core innovation is Cards that live on multiple Boards simultaneously, letting cross-functional teams track the same work item from different workflow angles without duplicating records. Jira's issue model places each issue in a single Project with a defined issue type hierarchy (Epic, Story, Task, Bug) and workflow transitions. We handle the architectural difference by tagging migrated issues with all originating Board identifiers, preserving the cross-team context as a searchable label set rather than a native multi-board relationship. We map Collections to Jira Backlog aggregates, resolve external member access against Jira's permission scheme, and deliver an automation inventory so your team can rebuild Favro automations in Jira Automation or ScriptRunner post-migration. Jira's per-user pricing (Standard at $9.05/user/month, Premium at $18.30/user/month) and Atlassian's Data Center end-of-life deadline in 2029 make this migration a common choice for teams standardizing on the Atlassian ecosystem.

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

Favro logo

Favro

What's pushing teams away

  • The user-bucket billing model charges by tier (2, 5, 10, 25, 50+) rather than actual headcount, so a 6-person team pays for 10 seats — a pattern that frustrates reviewers who expect per-seat precision.
  • The Standard plan's 1,000 API calls/month ceiling is severely limiting for programmatic exports or integrations, and the lack of a publicly documented bulk API means large workspace migrations require careful pagination and retry logic.
  • No single-user plan exists, making Favro impractical for solo practitioners or two-person startups who want to evaluate the tool before committing to the minimum 2-user bucket.
  • Dashboards on Standard are limited — not all widgets are available — which reviewers looking for portfolio-level reporting find disappointing compared to the full Enterprise feature set.
  • Automations are capped at 5,000 actions/month on Standard, and teams with high-frequency workflow triggers find themselves pushed toward Enterprise pricing to avoid hitting the ceiling.

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 Favro objects map to Jira

Each row shows how a Favro 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.

Favro

Card

maps to

Jira

Issue (Story, Task, or Bug)

1:1
Fully supported

Favro Cards map to Jira Issues based on a type-designation rule agreed upon during scoping. We preserve Card title as Summary, description as Description, assignee as Assignee (resolved by email against Jira User directory), due date as Due Date, and labels as Jira Labels. Priority maps from Favro's priority system (1-4) to Jira's Priority field (Highest, High, Medium, Low). The original Favro Card ID is stored in a custom field favro_card_id__c for traceability. If the Card appeared on multiple Boards, all originating Board names are added as Jira Labels to preserve the cross-team context that Favro's architecture natively supported.

Favro

Board

maps to

Jira

Project

1:1
Fully supported

Each Favro Board maps to a Jira Project, with Board name becoming Project name and Board description becoming Project description. Board columns map to Jira workflow statuses and the board's view mode (Kanban or sheet) determines whether we configure the project as a Kanban or Scrum project type in Jira. Board-level permission settings require manual recreation in Jira's permission scheme editor post-migration. For teams with fewer than 5-10 Boards, separate Jira Projects per Board is the recommended approach; for larger Board counts, we discuss aggregating related Boards into multi-project structures with shared components.

Favro

Collection

maps to

Jira

Backlog + Project association

lossy
Fully supported

Favro Collections aggregate multiple Boards for management-level visibility and do not have a direct Jira equivalent. We map each Collection to a Jira Backlog by configuring Advanced Roadmaps (Premium) or by creating a dedicated Backlog view per Collection that includes all Projects mapped from the Collection's member Boards. For teams on Jira Standard, we use Jira Filters saved to the Backlog with the JQL scoped to the relevant Projects, achieving a similar aggregated view without requiring Premium licensing.

Favro

Relation

maps to

Jira

Issue Link

1:1
Fully supported

Favro Relations (Blocks, Blocked by, Relates to, Duplicate, etc.) between Cards map to Jira Issue Links using Jira's built-in link types. We extract the relation type from Favro's relation_type property and map it to the closest Jira Issue Link type (Blocks, is blocked by, relates to, duplicates). If the destination Jira project has non-standard link types configured, we align during scoping. Cards referenced by Relations that have not yet been migrated are held in a resolution queue and processed after parent records are created.

Favro

Label

maps to

Jira

Label

1:1
Fully supported

Favro Labels (name and color) migrate to Jira Labels with the label text preserved. Label colors do not have a native Jira equivalent, so we store the original hex color in a custom field favro_label_color__c on the Issue. Jira Labels are per-project by default but can be configured as global; we configure global Labels during Jira setup so that cross-project Card labels remain searchable across the entire instance.

Favro

Comment

maps to

Jira

Comment

1:1
Fully supported

Favro Comments migrate to Jira Comments preserving author (resolved by email), timestamp (created date and updated date), and comment body. Threaded replies maintain their parent-child structure via Jira's comment hierarchy. If comments reference other Favro Cards by @-mention or card ID, we convert those references to Jira @-mentions of the migrated Issue keys.

Favro

Attachment

maps to

Jira

Attachment

1:1
Fully supported

Favro file attachments migrate as Jira Attachments on the corresponding Issue. We extract the file URL from Favro (if stored externally) or re-upload the file blob. Attachments exceeding Jira's size limits (250 MB per file) are flagged during scoping. External URLs stored as Favro Card attachments migrate as a text field attachment_url__c rather than binary files.

Favro

Custom Field (Card-level)

maps to

Jira

Custom Field

lossy
Fully supported

Favro Custom Fields on Cards (text, number, date, dropdown) are mapped to Jira Custom Fields of equivalent type. We create the Jira custom fields before migration using the Jira REST API, assign them to the relevant Screen(s), and import values as part of the Issue migration. Dropdown (select) fields in Favro map to Jira Select (single choice) or Multi-select fields. Date fields map to Jira Date fields. Number fields map to Jira Number fields.

Favro

External Member / Guest

maps to

Jira

User with project role restriction

1:1
Fully supported

Favro guest accounts have restricted Board-level visibility that Jira does not natively replicate. We map each Favro guest to a Jira user account and assign them a project role scoped to the relevant migrated Projects. We flag all guest accounts during scoping so the customer's admin decides which external members receive full Jira access versus restricted project-level access. If the destination Jira has Atlassian Access (SAML SSO), we coordinate guest provisioning through the identity provider.

Favro

User (internal owner)

maps to

Jira

User

1:1
Fully supported

Favro users (owners, assignees) are resolved by email match against the Jira destination User directory. Any Favro user without a matching Jira account is held in a user reconciliation queue. The customer's Jira admin provisions missing users before record import resumes, as Jira requires a valid AssigneeId reference at time of Issue creation. Inactive Jira users are supported if the customer's permission scheme permits inactive user assignment.

Favro

Timesheet (Enterprise)

maps to

Jira

Worklog

1:1
Fully supported

Favro timesheet entries (available on Enterprise plan only) migrate to Jira Worklog records against the corresponding Issue. We map hours_logged to Time Spent (in Jira's format), work_date to Start Date, and user attribution to the Jira Author field. Worklog entries are migrated after the parent Issue to avoid orphaned records. Jira's billing and time tracking features vary by tier; we align the worklog structure with the destination's time tracking configuration during setup.

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.

Favro logo

Favro gotchas

High

Standard plan API limit is 1,000 calls/month

Medium

User bucket billing creates overage on growth

Medium

Cross-board Card existence has no direct equivalent

Low

Guest and external member access scoping

Low

Automations do not migrate programmatically

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

  • Cross-board Card context has no native Jira equivalent

    Favro Cards exist on multiple Boards simultaneously, which is core to how cross-functional teams track the same work from different workflow angles. Jira issues belong to a single Project. We handle this by tagging each migrated Issue with all originating Board names as Jira Labels, and by storing the original Card ID in a custom field. This preserves the cross-team context as searchable attributes, but the native experience of seeing one Card on multiple boards simultaneously is not recoverable in Jira without custom development or a third-party app. Teams relying heavily on Favro's multi-board Card pattern should validate that the label-based workaround meets their visibility requirements during UAT.

  • Favro Standard API limit exhausts during large workspace exports

    Favro Standard's 1,000 API calls/month ceiling is a monthly budget, not a rate-per-minute limit. For workspaces with hundreds of Cards and multiple Boards, exhausting this quota during migration export is nearly guaranteed. We monitor call consumption during scoping and, for workspaces exceeding 1,000 records, we recommend either upgrading to Favro Enterprise temporarily or using Favro's manual CSV export option for the bulk of the data while reserving API calls for Relations and metadata queries. If neither option is viable, we chunk the export across multiple billing cycles.

  • Favro automations do not migrate to Jira Automation

    Favro Automations (triggers and actions) are not accessible via API in a replayable form, and Jira Automation uses a different rule model with different triggers, conditions, and actions. We document every Favro automation as part of migration discovery and deliver an Automation Inventory — a plain-language description of each rule including trigger event, conditions, and actions — so the customer's Jira admin can rebuild those rules in Jira Automation (500 actions/month on Standard, global automation on Premium) or ScriptRunner (Data Center only). Workflow configurations in Favro are similarly documented and handed off for manual recreation.

  • Jira workflow schemes require manual mapping before issue import

    Jira workflows are configured per project via workflow schemes, and each scheme must be associated with the correct issue types (Bug, Story, Task, Epic) before issues can be created. If Favro Board columns do not map cleanly to Jira workflow statuses, issues will be created in an invalid state. We design the Jira workflow scheme during schema setup, whitelisting only the statuses that correspond to the migrated Board columns, and validate that the workflow is active before beginning the issue import. Status mappings are documented in the migration workbook and reviewed with the customer's Jira admin before cutover.

  • Guest account access scoping requires post-migration permission audit

    Favro's guest accounts have restricted visibility into specific Boards and Collections. Jira does not have a native guest-access model equivalent; external collaborators must be provisioned as full Jira users with project-level role restrictions. We flag all Favro external member records during scoping and map them to Jira user accounts with project roles scoped to the relevant migrated Projects. After migration, the customer's admin should audit all external user assignments in Jira to confirm that visibility restrictions are correctly enforced. If the customer uses Atlassian Access with SAML SSO, guest provisioning should go through the identity provider to maintain access control consistency.

Migration approach

Six steps for a successful Favro to Jira data migration

  1. Workspace inventory and Jira edition selection

    We audit the source Favro workspace across plan tier (Lite, Standard, Enterprise), Board count and view modes, Collection membership, Relation types, Custom Field definitions, guest account count, timesheet data (Enterprise only), attachment volume, and active automation rules. We pair this with a Jira edition decision: Standard ($9.05/user/month) covers single-project or lightly structured migrations; Premium ($18.30/user/month) is required for Advanced Roadmaps, global automation, and unlimited storage; Enterprise ($155/user/year, 801+ users) only if multi-instance management and dedicated SLA are needed. The discovery output is a written migration scope, object mapping table, and Jira edition recommendation.

  2. Schema design and Jira project configuration

    We design the Jira destination schema before any data import. This includes creating Projects (one per Favro Board or aggregated per Collection), configuring project types (Kanban or Scrum based on Board view mode), defining workflow schemes and statuses mapped from Favro Board columns, creating custom fields matched to Favro Custom Field types, configuring issue type schemes (Bug, Story, Task, Epic) per project, setting up Jira Labels as global, and configuring the Issue Link types. We also design the cross-board label strategy for preserving Favro's multi-board Card context. Schema is deployed into a Jira Sandbox or test project first for validation.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira test environment using production-like data volume. The customer's Jira admin and PM lead reconcile record counts (Issues in, Projects in, Labels in), spot-check 20-40 random issues against Favro source records for field accuracy and completeness, and validate that workflow transitions function correctly. Cross-board Card labels, Relation-to-Issue-Link mappings, and Comment threading are verified. Any mapping corrections happen in this phase before production migration begins.

  4. User reconciliation and guest account mapping

    We extract every distinct Favro user referenced on Cards (as owner, assignee, commenter) and match by email against the Jira destination User directory. Guest and external member accounts are flagged for project-role-restricted provisioning. Any Favro user without a matching Jira account enters a reconciliation queue; the customer's Jira admin provisions missing users (active or inactive depending on whether the original Favro user is still active). Migration cannot proceed past this step because Jira requires a valid AssigneeId at Issue creation.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Projects (from Boards) first, then Custom Fields, then Issues (from Cards with Board labels applied), then Issue Links (from Relations, after parent Issues exist), then Comments, then Attachments, then Timesheet data (Worklogs) last. Each phase emits a row-count reconciliation report before the next phase begins. Favro automations are not migrated; we deliver the Automation Inventory document for the customer's admin to rebuild in Jira Automation post-migration.

  6. Cutover, validation, and automation handoff

    We freeze Favro writes during cutover, run a final delta migration of any Cards modified during the migration window, then enable Jira as the system of record. We validate that Issues are searchable by Favro Card ID (stored in favro_card_id__c) and that cross-board labels surface the expected Board context. We deliver the Automation Inventory document, the mapping workbook, and a post-migration checklist. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Favro automations as Jira Automation inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Favro logo

Favro

Source

Strengths

  • Four-building-block model (Cards, Boards, Collections, Relations) scales from single-team tasks to enterprise portfolio planning without forcing process changes.
  • Cross-board Card existence is a genuinely unique pattern that preserves multi-team context without data duplication.
  • Real-time collaboration with OAuth via Google and GitHub means minimal login friction for technical teams already in those identity ecosystems.
  • ISO 27001, ISO 27701, and PCI DSS compliance provides enterprise security credibility that smaller PM tools lack.
  • Unlimited storage and unlimited boards on Standard and Enterprise remove arbitrary caps that frustrate teams as they scale.

Weaknesses

  • User-bucket billing charges teams for headcount tiers rather than actual seats, creating predictable billing surprises for growing teams that cross bucket thresholds.
  • Standard plan's 1,000 API calls/month is a hard ceiling that makes programmatic exports and integrations impractical without upgrading to Enterprise.
  • No bulk API is publicly documented, meaning large workspace migrations require pagination engineering and careful rate-limit management to avoid 429 errors.
  • Dashboards are feature-capped on Standard — teams expecting full reporting discover that not all widgets are available until they pay for Enterprise pricing.
  • No single-user plan and the 2-user minimum make Favro inaccessible to solo practitioners or micro-teams evaluating fit.
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 Favro 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

    Favro: 50 calls per hour at the user level. Organization-level routes are limited based on the organization's payment plan, enforced via a token-bucket algorithm. Requests that would exceed a 10-second back-off fail with HTTP 429..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Favro 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 Favro to Jira data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for workspaces under 5,000 Cards with a single Collection, no timesheet data, and straightforward Board-to-Project mapping. Migrations with Enterprise-tier workspaces that include timesheet records, multiple Collections, guest account remapping, or large attachment sets move to eight to twelve weeks because of schema design for the Jira issue type hierarchy, timesheet-to-worklog transformation, and permission scheme reconciliation. Jira migrations involving Atlassian Data Center exit (where Jira Data Center is also being migrated to Jira Cloud simultaneously) extend to three to six months.

Adjacent paths

Related migrations to explore

Ready when you are

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