Project Management migration
Field-level mapping, validation, and rollback between Taiga and Asana. We move data and schema; workflows are rebuilt natively in Asana.
Taiga
Source
Asana
Destination
Compatibility
10 of 12
objects map 1:1 between Taiga and Asana.
Complexity
BStandard
Timeline
1-2 weeks
Overview
Moving from Taiga to Asana is primarily a flattening and reparenting migration. Taiga's separate object types for User Stories, Tasks, and Issues collapse into Asana's single Task object, which means the migration must capture Taiga artifact type and status as custom fields to preserve the original categorization. Taiga's Milestones become Asana Sections with date ranges, and Taiga's Epics, which have no native Asana equivalent, become either custom fields (color, theme, priority) or project-grouping tags depending on the customer's reporting needs. We loop through Taiga's hard 30-record REST API pagination on every object type to prevent silent record truncation, then reconstruct parent-child relationships (User Stories containing Tasks, Tasks inside Milestones) in Asana through section membership and custom field lookups. Wiki pages migrate as rich-text task descriptions or Notes attachments. We do not migrate Taiga workflows, custom automations, or custom CSS as code; we deliver a written inventory of every automation and Taiga taiga-ui style override for the customer's admin to rebuild in Asana Rules or manually restyle post-migration.
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 Taiga object lands in Asana, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Taiga
Project
Asana
Team + Project
1:1Taiga Projects map to Asana Teams (member scoping) with one Asana Project per Taiga project. We preserve project description, tags, and creation date as project-level custom fields. Taiga project settings (visibility, workflow template) map to Asana project privacy settings and team permissions. If multiple Taiga projects share the same team membership, we create one Asana Team and multiple Asana Projects under it.
Taiga
Milestone / Sprint
Asana
Section (with date range)
1:1Taiga Milestones map to Asana Sections within a Project. The Milestone name becomes the Section name, and Milestone start_date and finish_date migrate as custom date fields section_start__c and section_end__c on the Section. Taiga Milestone status (open, closed, undefined) becomes a custom dropdown field sprint_status__c. Asana has no native sprint velocity or burndown tracking; we flag this for teams relying on Taiga's sprint metrics and recommend Asana's built-in workload chart or a third-party analytics integration post-migration.
Taiga
Epic
Asana
Custom field (multi-select) + Portfolio or project grouping
lossyTaiga Epics have no native Asana equivalent. We map Epic color and Epic name to a multi-select custom field epic_theme__c on Tasks, and optionally create separate Asana Projects per Epic or use Asana Portfolios (Business tier) to group related projects. The customer chooses the grouping strategy during scoping. Epic description migrates as a long-text custom field epic_description__c. We preserve Epic status (open, in-progress, done) as a custom dropdown field epic_status__c.
Taiga
User Story
Asana
Task
1:1Taiga User Stories map directly to Asana Tasks. The story subject becomes the Task name, description migrates as the task description, story points migrate to a number custom field story_points__c, and status maps to the Asana section or a custom workflow field. Assignee resolves by email match against the Asana destination Team members. Milestone reference becomes the section membership. Custom attributes on the story become typed custom fields in Asana (dropdown, number, date, person) with attribute options preserved.
Taiga
Task (child of User Story)
Asana
Subtask
1:1Taiga Tasks that belong to a User Story map to Asana Subtasks under the parent Task. The task subject becomes the subtask name, status becomes the subtask completion status, and due date, assignee, and custom attributes migrate the same as top-level tasks. Subtask ordering is preserved by setting the subtask creation sequence to match Taiga's task order within the parent User Story.
Taiga
Issue
Asana
Task (with custom type field)
1:1Taiga Issues (standalone bugs and tracked work outside the sprint backlog) map to Asana Tasks with a custom dropdown field issue_type__c set to the original Taiga issue type (bug, question, enhancement, etc.). Issue severity and priority from Taiga map to custom dropdown fields issue_severity__c and issue_priority__c. Issue status maps to the task's completion state or a custom workflow field if the customer wants to preserve the full issue lifecycle separate from the standard task workflow.
Taiga
Custom Attributes (Stories, Tasks, Issues)
Asana
Custom Fields
lossyTaiga per-project custom attributes on User Stories, Tasks, and Issues are extracted and mapped to Asana custom fields of equivalent type. Enumerated attribute options in Taiga map to Asana multi-select or single-select dropdown values. Text attributes map to Asana text fields, date attributes to Asana date fields, and number attributes to Asana number fields. Custom attribute names are preserved as custom field names; we flag any attribute names exceeding Asana's 255-character limit.
Taiga
Wiki Pages
Asana
Task Description + Note attachment
1:1Taiga Wiki pages with Markdown content map to Asana Task descriptions in Markdown format. We parse the Taiga wiki JSON export, convert Markdown links to Asana-format links, and place the converted content in the task description. For wiki pages that are not directly linked to a specific artifact, we create a placeholder Task named after the wiki page and attach the converted content as a Note or as a rich-text description. Links between wiki pages require manual re-linking post-migration since Asana does not have a wiki cross-linking system.
Taiga
Tags / Labels
Asana
Tags / Labels
1:1Taiga free-form tags on User Stories, Tasks, and Issues map directly to Asana Tags. We extract the full tag string from Taiga's tag array and create matching Asana tags during migration. If the destination Asana workspace uses a controlled tag vocabulary, we flag tag consolidation options for the customer's admin. Tags with non-ASCII characters are preserved as-is.
Taiga
Project Member / Role
Asana
Team Member
1:1Taiga project members and their role assignments (Admin, Member, Viewer) map to Asana Team members. We match by email and assign the closest Asana permission level (Admin maps to Team Admin, Member maps to Member, Viewer maps to Member with restricted project access). If a Taiga role has no direct Asana equivalent, we assign the nearest available permission level and document the gap in the handoff report.
Taiga
Attachment
Asana
Attachment
1:1Taiga attachments on User Stories, Tasks, and Issues are stored as file references with a media URL. We retrieve the files from Taiga's media storage (cloud or self-hosted URL) and re-upload to Asana as task attachments using the Asana Attachments API. File names and original upload timestamps are preserved. Attachments on wiki pages are handled as part of the wiki page migration. Files exceeding Asana's 100MB attachment limit are flagged for the customer's admin to store externally and link.
Taiga
Comments / Notes on artifacts
Asana
Comments
1:1Taiga comments on User Stories, Tasks, and Issues migrate to Asana Task comments. We preserve the comment author (by email match to Asana user), comment body, and original creation timestamp. Edited comments retain the edited text. Deleted comments are not migrated. Asana's comment format supports rich text, and we convert Taiga's Markdown comment content to Asana's comment format.
| Taiga | Asana | Compatibility | |
|---|---|---|---|
| Project | Team + Project1:1 | Fully supported | |
| Milestone / Sprint | Section (with date range)1:1 | Fully supported | |
| Epic | Custom field (multi-select) + Portfolio or project groupinglossy | Fully supported | |
| User Story | Task1:1 | Fully supported | |
| Task (child of User Story) | Subtask1:1 | Fully supported | |
| Issue | Task (with custom type field)1:1 | Fully supported | |
| Custom Attributes (Stories, Tasks, Issues) | Custom Fieldslossy | Mapping required | |
| Wiki Pages | Task Description + Note attachment1:1 | Mapping required | |
| Tags / Labels | Tags / Labels1:1 | Mapping required | |
| Project Member / Role | Team Member1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Comments / Notes on artifacts | Comments1:1 | 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.
Taiga gotchas
REST API hard-codes 30 records per page
Import only accepts Trello, Jira, Asana, and GitHub
Docker self-hosted v5 to v6 migration can lose data silently
Taiga export is instance-specific JSON, not portable CSV
Custom CSS / taiga-ui v3 to v4 style overrides break after migration
Asana gotchas
Automation rules have no export representation
API rate limits cap bulk migration throughput
Portfolios are view-only objects that do not hold data
Custom field enum options cannot be updated via API
Subtasks do not appear in project views by default
Pair-specific challenges
Migration approach
Taiga source extraction with pagination handling
We connect to the Taiga source environment (cloud API or self-hosted REST endpoint) and extract all Projects, Milestones, Epics, User Stories, Tasks, Issues, Wiki pages, Tags, and Project Members. For each object type, we implement cursor-based pagination loops that accumulate results page by page until the API returns an empty result set, compensating for Taiga's hard 30-record limit. We validate record counts per object type against the JSON dump and flag any projects where the total count exceeds what a single-page fetch would have returned. Attachments are extracted by retrieving the media URLs from the artifact JSON and downloading files to temporary storage for re-upload to Asana.
Asana destination schema design
We design the Asana destination schema based on the Taiga source object inventory. This includes creating the Asana Team and Project structure (1 Team per Taiga project group or 1 Team per Taiga project depending on the customer's member scoping preference), defining Sections that correspond to Taiga Milestones with date-range custom fields, creating custom fields for Epic grouping, story points, issue type, issue severity, and any other Taiga custom attributes mapped during discovery. We design custom field types (dropdown, multi-select, number, date, person) to match the Taiga attribute schema and deploy the schema to an Asana Sandbox or the live workspace before data migration begins.
Epic and artifact type strategy workshop
We run a synchronous working session with the customer's project management lead to confirm the Epic grouping strategy (Portfolio, project grouping, or custom field), the Milestone-to-Section mapping, and the handling of Taiga Issues as distinct from Tasks. The output is a signed mapping decision document that we use as the authoritative transform rule for the migration. If the customer wants to preserve Taiga issue severity and type as a visible workflow in Asana, we configure a custom field-based issue pipeline. If issues can be treated as standard tasks, we simplify the mapping and reduce migration complexity.
Sandbox migration and reconciliation
We run a full migration into an Asana test workspace using production-equivalent data volumes. The customer's PM lead reconciles record counts per object type, spot-checks 25-50 randomly selected Tasks and their attachments, comments, custom field values, and section memberships against the Taiga source. Any mapping corrections, custom field type adjustments, or section structure changes happen in this phase. We do not proceed to production migration until the reconciliation sign-off is received.
Production migration in dependency order
We run production migration in artifact dependency order: Team and project structure first, then Milestones mapped to Sections, then Epics with custom field population, then User Stories as Tasks, then child Tasks as Subtasks, then Issues as Tasks with issue_type__c set, then Comments, then Attachments, and finally Tags. Custom fields are populated on each record during the same insert call to avoid an extra update pass. We disable Asana email and in-app notifications for the migration window to avoid sending notification spam to team members during bulk import.
Cutover, validation, and automation inventory handoff
We freeze writes to the Taiga source during cutover, run a delta migration of any records modified during the migration window, then mark Asana as the system of record. We validate final record counts per object type and confirm that parent-child relationships (Subtasks under Tasks, Tasks in Sections, attachments on the correct Tasks) are intact. We deliver a written automation and workflow inventory document listing every Taiga workflow, custom automation, and taiga-ui CSS override that requires manual rebuild in Asana Rules or manual styling review. We support a one-week hypercare window for reconciliation issues. Workflow rebuild and post-migration training are outside standard migration scope and are quoted separately.
Platform deep dives
Taiga
Source
Strengths
Weaknesses
Asana
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 2 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 Taiga and Asana.
Object compatibility
2 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
Taiga: Not publicly documented in official docs.
Data volume sensitivity
Taiga 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
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Category
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