Project Management migration
Field-level mapping, validation, and rollback between Rukovoditel and Asana. We move data and schema; workflows are rebuilt natively in Asana.
Rukovoditel
Source
Asana
Destination
Compatibility
5 of 12
objects map 1:1 between Rukovoditel and Asana.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Rukovoditel to Asana is a schema-first migration because Rukovoditel has no fixed object catalog — every installation defines its own Entities, Fields, and Relationships via the Database Designer. We begin every project with a mandatory schema introspection phase, querying the source database or parsing XML Export templates to discover the actual object model before writing a single line of mapping logic. We then flatten Rukovoditel's Nested Entities (one-to-many) into Asana Subtasks, reconstruct Many-to-Many relationships via Tags or Custom Fields, and preserve User and User Group assignments as Asana assignees and team members. File attachments are extracted from the filesystem, re-uploaded to Asana as task attachments, and linked back to the correct parent record. Rukovoditel's API requires per-call username and password authentication with no bulk endpoint, so we build a custom scraper that uses the XML Export template mechanism with fallback to paginated JSON API calls with retry logic. We do not migrate Workflows, automations, or XML Export templates as functional equivalents — these require manual rebuild in Asana Rules.
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 Rukovoditel 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.
Rukovoditel
Entity (user-defined table)
Asana
Project
1:1Each Rukovoditel Entity maps to an Asana Project. During schema introspection, we discover all Entities defined in the Database Designer, identify the primary display field (typically the Entity's name field), and create an Asana Project per Entity. Sections within the Asana Project can be used to represent Entity groupings if the customer uses Entity-level filtering or grouping in Rukovoditel.
Rukovoditel
Entity Record (row)
Asana
Task
1:1Individual records within a Rukovoditel Entity map to Asana Tasks. The primary display field from the Entity becomes the Task name. Standard Rukovoditel fields (created_by, date_updated, etc.) map to Asana's built-in task properties (created_by, modified_at) where possible; custom fields preserve as Asana Custom Fields.
Rukovoditel
Nested Entity (one-to-many child)
Asana
Subtask
1:manyRukovoditel Nested Entities implement one-to-many relationships as separate database tables with a foreign key back to the parent Entity. We extract the child table, resolve the parent reference, and insert each child record as an Asana Subtask nested under its parent Task. The subtask name comes from the child Entity's primary display field. Nested Entities more than one level deep require multi-pass flattening: each nesting level becomes an additional subtask depth.
Rukovoditel
Related Records (many-to-many)
Asana
Tag or Multi-Select Custom Field
lossyRukovoditel's Related Records field type stores M:N associations in a junction table. We extract both sides of the relationship during migration. If the relationship represents a category or classification (e.g., a Task belongs to multiple Teams or Categories), we create Asana Tags with TopicAssignment records. If the relationship is a reference entity (e.g., a Task is linked to multiple Clients), we create a multi-select Custom Field in Asana with the reference values as options. The customer chooses the strategy during scoping.
Rukovoditel
User
Asana
Asana User (Member or Guest)
1:1Rukovoditel User accounts map to Asana Workspace Members by email match. We extract the user table from Rukovoditel (via database read or API), match against the Asana workspace's user list, and assign the Asana User as the task assignee. User Groups in Rukovoditel can be mapped to Asana Teams if the customer wants group-level project access control. Any Rukovoditel user without a matching Asana account goes to a reconciliation queue for provisioning before the migration phase begins.
Rukovoditel
User Group
Asana
Team
many:1Rukovoditel User Groups are separate objects used for Entity-level access control. We extract all User Groups and, at the customer's direction, create corresponding Asana Teams. Group membership is preserved as Team membership in Asana. If the customer has many small User Groups (fewer than 3 members), we recommend merging them into fewer Asana Teams to align with Asana's team-based permission model.
Rukovoditel
Field (Entity attribute)
Asana
Custom Field
lossyRukovoditel field types (text, number, date, entity reference, related records, users, user groups, MySQL query) map to Asana Custom Field types as follows: text and number to Text and Number Custom Fields; date to Date Custom Fields; entity reference to a Lookup Custom Field or Subtask if the reference is a single record; related records to Tags or multi-select Custom Fields; user references to Assignee or team member fields. Rukovoditel field IDs are numeric and installation-specific — we preserve the field label as the Asana Custom Field name during mapping.
Rukovoditel
Entity Relationship (foreign key)
Asana
Subtask or Custom Field Lookup
lossyRukovoditel entity reference fields (fields that point to another Entity record) require lookup resolution during migration. We build a lookup table of source Entity record GIDs to destination Asana Task GIDs before inserting referencing records. This ensures that when a field references another Entity, the correct Asana Task is linked. Circular references (Entity A points to B, B points to A) are detected during schema introspection and resolved iteratively.
Rukovoditel
Attachment (file blob)
Asana
Task Attachment
1:1Rukovoditel file attachments are stored on the server filesystem with a reference in the database. We export the binary files, preserve their original filename and upload date, and re-upload them to Asana as task attachments via the Asana Attachments API (multipart form upload). Files exceeding Asana's 100 MB limit are flagged for the customer to host externally and link via URL attachment. The record association is preserved by linking each attachment to the correct parent Task GID resolved during the mapping phase.
Rukovoditel
XML Export Template
Asana
Not migrated (configuration artifact)
lossyRukovoditel's XML Export templates are user-defined configuration artifacts that control which fields appear in XML exports. These have no functional equivalent in Asana and are not migrated. We document the template structure as part of the schema introspection output so the customer's admin understands which Rukovoditel fields were included in exports and can configure equivalent Asana Custom Fields or section groupings post-migration.
Rukovoditel
CSV Export (flat-file per Entity)
Asana
Task import source
1:1Rukovoditel's Export Selected feature produces CSV files per Entity that can be consumed as import sources for Asana. We use the CSV as a primary data extraction path when XML templates are unavailable, parsing the flat record structure and transforming it into Asana task create payloads. The CSV must be enriched with Asana Custom Field GIDs (resolved during schema mapping) before import.
Rukovoditel
Entity Access Rules (field-level)
Asana
Not migrated (permission artifact)
lossyRukovoditel's Entity and Field-level access control rules (which User Groups can view or edit which Entities and Fields) have no direct Asana equivalent. Asana uses workspace membership and project-level team access for permissions. We document the existing access rule structure as a written inventory for the customer's admin to redesign in Asana's permission model post-migration.
| Rukovoditel | Asana | Compatibility | |
|---|---|---|---|
| Entity (user-defined table) | Project1:1 | Fully supported | |
| Entity Record (row) | Task1:1 | Fully supported | |
| Nested Entity (one-to-many child) | Subtask1:many | Fully supported | |
| Related Records (many-to-many) | Tag or Multi-Select Custom Fieldlossy | Mapping required | |
| User | Asana User (Member or Guest)1:1 | Fully supported | |
| User Group | Teammany:1 | Fully supported | |
| Field (Entity attribute) | Custom Fieldlossy | Fully supported | |
| Entity Relationship (foreign key) | Subtask or Custom Field Lookuplossy | Fully supported | |
| Attachment (file blob) | Task Attachment1:1 | Fully supported | |
| XML Export Template | Not migrated (configuration artifact)lossy | Fully supported | |
| CSV Export (flat-file per Entity) | Task import source1:1 | Fully supported | |
| Entity Access Rules (field-level) | Not migrated (permission artifact)lossy | 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.
Rukovoditel gotchas
No native bulk export API endpoint
Every installation has a unique entity schema
SQL injection vulnerability history in v2.5.2
User authentication requires plaintext username/password for API
XML export templates must be manually configured
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
Schema introspection and Entity catalog discovery
We connect to the source Rukovoditel instance via read-only database credentials (preferred) or XML Export templates (fallback). We query app_entities, app_fields, and app_forms to build a complete Entity catalog with all field definitions, types, and relationships. We parse any existing XML Export templates to understand which fields were included in exports. We identify primary display fields per Entity, Nested Entity parent-child chains, Related Records junction tables, and the user and user group rosters. The output is a written Entity Map document for the customer's review and sign-off before mapping begins.
Asana destination schema provisioning
We create Asana Projects for each Rukovoditel Entity, Custom Fields matching each Entity's field catalog (with type mapping from Rukovoditel field types to Asana Custom Field types), Teams for User Groups (at customer direction), and any Tags needed for M:N reconstruction. Custom Fields are created at the portfolio or project level depending on whether the field is entity-specific or shared across projects. We configure Asana Teams and project-level team access to approximate the Rukovoditel Entity access model as closely as possible. The destination schema is validated in Asana before any data import begins.
Relationship lookup table construction
We build a lookup table that maps every Rukovoditel Entity record (identified by its database primary key) to its corresponding Asana Task GID. This table is constructed during the entity record export pass and is required to resolve all forward references: entity reference fields, Related Records junction table associations, and Nested Entity parent-child linkages. The lookup table is persisted and used in the import pass to connect related records correctly.
Record export and transformation
We export Rukovoditel Entity records via the most efficient available path (XML Export template or CSV for large entities, paginated JSON API for smaller entities or when templates are unavailable). Each record is transformed into an Asana Task create payload using the Entity Map from Step 1 and the Custom Field GIDs from Step 2. The primary display field becomes the task name; standard fields (created date, modified date, assigned user) map to Asana built-in fields; custom fields map to Asana Custom Fields. Attachments are extracted from the filesystem in parallel and staged for re-upload.
Asana import with relationship reconstruction
We import records into Asana in dependency order: first tasks without parent references (standalone Entity records), then tasks with entity reference field dependencies (using the lookup table from Step 3), then subtasks (Nested Entities resolved to parent Task GIDs), then M:N associations (Related Records junction table entries mapped to Tags or multi-select Custom Field values). Attachments are uploaded via the Asana Attachments API in parallel batches, with files over 100 MB flagged and excluded. Each phase emits a row-count reconciliation report comparing source record count to destination task count.
Sandbox validation and production cutover
We run the full migration into an Asana Sandbox project first (using a subset of data or a dedicated test workspace) to validate subtask nesting, Custom Field population, Tag creation, and attachment linking. The customer's project lead spot-checks 20-30 records against the Rukovoditel source and signs off. We then run production migration during a customer-defined maintenance window, freeze Rukovoditel writes during cutover, run a final delta migration of any records modified during the window, and enable Asana as the system of record. We deliver a written Automation Inventory documenting any Rukovoditel workflow rules or automation sequences that require manual rebuild in Asana Rules or a third-party tool.
Platform deep dives
Rukovoditel
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 Rukovoditel 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
Rukovoditel: Not publicly documented.
Data volume sensitivity
Rukovoditel 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
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