Project Management migration
Field-level mapping, validation, and rollback between Favro and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Favro
Source
Jira
Destination
Compatibility
9 of 11
objects map 1:1 between Favro and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
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.
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 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
Jira
Issue (Story, Task, or Bug)
1:1Favro 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
Jira
Project
1:1Each 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
Jira
Backlog + Project association
lossyFavro 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
Jira
Issue Link
1:1Favro 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
Jira
Label
1:1Favro 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
Jira
Comment
1:1Favro 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
Jira
Attachment
1:1Favro 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)
Jira
Custom Field
lossyFavro 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
Jira
User with project role restriction
1:1Favro 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)
Jira
User
1:1Favro 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)
Jira
Worklog
1:1Favro 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.
| Favro | Jira | Compatibility | |
|---|---|---|---|
| Card | Issue (Story, Task, or Bug)1:1 | Fully supported | |
| Board | Project1:1 | Fully supported | |
| Collection | Backlog + Project associationlossy | Fully supported | |
| Relation | Issue Link1:1 | Fully supported | |
| Label | Label1:1 | Fully supported | |
| Comment | Comment1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Custom Field (Card-level) | Custom Fieldlossy | Fully supported | |
| External Member / Guest | User with project role restriction1:1 | Fully supported | |
| User (internal owner) | User1:1 | Fully supported | |
| Timesheet (Enterprise) | Worklog1:1 | Fully 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.
Favro gotchas
Standard plan API limit is 1,000 calls/month
User bucket billing creates overage on growth
Cross-board Card existence has no direct equivalent
Guest and external member access scoping
Automations do not migrate programmatically
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
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.
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.
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.
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.
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.
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
Favro
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Favro and Jira.
Object compatibility
3 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
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
Favro 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.
Category
FAQ
Answers to the questions buyers ask most during Favro to Jira migration scoping. Not seeing yours? Book a call.
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