Project Management migration
Field-level mapping, validation, and rollback between Hive and Asana. We move data and schema; workflows are rebuilt natively in Asana.
Hive
Source
Asana
Destination
Compatibility
8 of 14
objects map 1:1 between Hive and Asana.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Hive to Asana is a structural migration that requires decomposing Hive's multi-view architecture into Asana's team-project-task hierarchy. Hive's Projects map to Asana Projects, Actions map to Asana subtasks or standalone tasks, and nested folder structures become Asana's section organization. The highest-friction part of this migration is Hive's per-project custom status schemas, which require a mapping table built per workspace before any task data moves. We extract each project's status set during scoping, map it to Asana's section-based or native status model, and apply the mapping during replay. Time-tracking entries carry user attribution that must resolve against the destination's Asana user table. Workflows, automations, and views do not migrate; we deliver a written inventory of every active Hive Workflow for your admin to rebuild in Asana's Rules engine post-migration. Attachments exceeding 100 MB are flagged and skipped per Asana's API constraints. The destination workspace must be an Organization (not a Personal Projects workspace) for the migration to proceed.
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 Hive 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.
Hive
Project
Asana
Project
1:1Hive Projects map to Asana Projects. Project metadata including name, description, start date, due date, and visibility (public/private) migrate as Project fields. Hive's workspace-level permission structure maps to Asana's team membership model where the project owner is set as the project lead in Asana. Projects with restricted access are scoped during discovery to confirm the migrating user has read access to all project records.
Hive
Task
Asana
Task
1:1Hive Tasks migrate to Asana Tasks with title, description, start date, due date, assignee, priority, and sub-task hierarchy preserved. Hive's nested task trees are flattened to Asana's single-level subtask structure where the parent Task in Hive becomes the parent Task in Asana and child Tasks become Asana subtasks. The original task creation timestamp and last-modified date are preserved as custom fields for audit.
Hive
Action
Asana
Task or Subtask
1:manyHive Actions are standalone checklist items or quick-capture items not tied to a project. We map these to Asana Tasks grouped by assignee. Actions without an assignee are mapped to a dedicated Asana project for unassigned items. Actions that belong to a task-level checklist in Hive become Asana subtasks under the corresponding parent task.
Hive
Folder
Asana
Section
1:manyHive's nested folder structure (folders containing sub-folders and projects) cannot map directly to Asana because Asana has no folder concept above the project level. We extract the folder hierarchy, map the top-level folder to an Asana Project, and convert sub-folders to Sections within that project. Projects originally nested under sub-folders become tasks within the corresponding section.
Hive
Custom Field
Asana
Custom Field
lossyHive Custom Fields (text, number, date, dropdown) on projects and tasks map to Asana Custom Fields. We extract the field definition and all field values per project, create matching Custom Fields in the destination Asana project, and replay values during task migration. If a Hive custom field type has no Asana equivalent (e.g., complex calculated fields), we flag it during scoping and convert it to a text Custom Field in Asana.
Hive
Label
Asana
Tag
1:1Hive Labels are flat tag strings applied to tasks. We preserve all label assignments and create equivalent Tags in Asana. If a label name already exists in the destination Asana workspace, we reuse it; otherwise we create it during migration. Label color is not preserved because Asana assigns colors automatically to tags.
Hive
Status
Asana
Section or Status Field
lossyHive's per-project custom status schemas are the most complex part of this migration. We extract the full status set per project during scoping, build a mapping table for each project, and apply it during task replay. For Asana Board view, statuses map to columns. For List view, we create a single Custom Field of type Status with the mapped values. We flag any statuses that have no clear Asana equivalent and work with the customer to define an acceptable mapping before migration begins.
Hive
Time Entry
Asana
Time Tracking or Task
1:1Hive time-tracking entries include hours, date, task association, and user attribution. In Asana Business tier and above, time tracking is native and entries map directly. For Asana Premium or lower tiers without native time tracking, we create a custom time-tracking section as task-level custom fields (date, hours, notes) and include a handoff document for the customer to evaluate a third-party time-tracking integration post-migration.
Hive
Attachment
Asana
Attachment
1:1Hive file attachments on tasks and projects are downloaded to our staging storage and re-uploaded to Asana via the Asana Attachments API. We preserve the original filename and link the attachment to the correct task in the destination. Files exceeding 100 MB are flagged and skipped per Asana's API upload limit, with a list of skipped files provided in the migration report.
Hive
Workspace Member
Asana
User
1:1Hive Workspace Members (Admin, Editor, Viewer roles) map to Asana workspace members by email address. We extract all member assignments on tasks and projects and resolve them against the Asana destination workspace's user table. Members without a matching Asana account go to a reconciliation queue for the customer's admin to provision before the record import phase begins.
Hive
Form Submission
Asana
Task
1:1Hive shareable forms capture submissions that create tasks. We export form submissions as task records with all submitted field values preserved as task properties and custom field values in Asana. The original submission timestamp and respondent information are stored as custom fields on the task.
Hive
Hive Note
Asana
Task Description or Attachment
1:1Hive Notes are collaborative documents attached to projects or workspaces. We export them as text and either embed the content in the project or task description (for short notes) or attach as a formatted text file (for longer documents) in the Asana task or project. The original note's creation date and author are preserved as metadata.
Hive
Workflow
Asana
Rules (documentation only)
lossyHive Workflows define status progression rules and automation triggers. We do not migrate Workflows as code because Asana's Rules engine uses different trigger and action models. We capture the full workflow configuration—including triggers, conditions, and actions—as a written reference document for the customer's admin to rebuild in Asana Rules post-migration. Active workflows are listed with their expected behavior and the recommended Asana Rule equivalent.
Hive
Analytics / Report
Asana
(not migrated)
lossyHive analytics dashboards and reports are computed from live Hive data and do not export as independent records. We do not migrate analytics. The customer rebuilds reports in Asana's native reporting tools (available from Business tier) or connects a BI tool to Asana's API. We provide a list of all Hive report configurations during discovery for reference.
| Hive | Asana | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Action | Task or Subtask1:many | Fully supported | |
| Folder | Section1:many | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Label | Tag1:1 | Fully supported | |
| Status | Section or Status Fieldlossy | Fully supported | |
| Time Entry | Time Tracking or Task1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Workspace Member | User1:1 | Fully supported | |
| Form Submission | Task1:1 | Fully supported | |
| Hive Note | Task Description or Attachment1:1 | Fully supported | |
| Workflow | Rules (documentation only)lossy | Fully supported | |
| Analytics / Report | (not migrated)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.
Hive gotchas
Free plan caps projects at 10 and hides private project views
Custom status schemas vary per project
Hive API lacks bulk export endpoint for full workspace
Time-tracking data is tied to individual users
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
Discovery and workspace audit
We audit the source Hive workspace across plan tier (Free/Starter/Teams/Enterprise), project count, custom field definitions per project, custom status schemas per project, attachment volume and file-size distribution, time-tracking entry count, and active Workflow count. We also identify the migrating user's access level and flag any projects with restricted permissions that would limit export. The discovery output is a written migration scope document with record counts, per-project status schema summaries, and a list of any workspace-level constraints that affect the migration plan.
Schema design and status mapping
We design the destination Asana workspace structure: Teams (mapped from Hive workspace or organized by department), Projects (mapped 1:1 from Hive projects), Sections (mapped from Hive folders or project groupings), and Custom Fields (created in each project to match Hive's field definitions). The most time-intensive design step is building the per-project status mapping table: we extract Hive's status values for each project, define an Asana-equivalent approach per project (Board columns, Section grouping, or custom Status field), and validate it with the customer's project managers before any data moves.
Sandbox migration and reconciliation
We run a full migration into the destination Asana workspace using production-like data volume. The customer's project lead reconciles record counts (projects in, tasks in, subtasks in, custom field values in), spot-checks 25-50 records against Hive source data, validates the status mapping for at least three projects, and confirms the attachment file inventory. Any mapping corrections—including status schema adjustments, custom field type changes, or section naming—happen in this phase before the production migration begins.
User reconciliation and account provisioning
We extract every distinct Hive user referenced on tasks, projects, and time-tracking entries and match by email against the destination Asana workspace. Users without a matching Asana account go to a reconciliation queue. The customer's admin provisions any missing Asana accounts (active or inactive depending on whether the Hive user is still active on the team). Migration cannot proceed past this step because task assignee and time-entry attribution require a valid Asana user reference.
Production migration in dependency order
We run production migration in record-dependency order: Projects (top-level container, created first), Sections (folder-to-section conversion applied), Tasks (with custom field values, assignee resolution, and per-project status mapping applied), Subtasks (after parent tasks exist), Attachments (downloaded from Hive and uploaded to Asana with 100 MB skip-list maintained), Time Entries (with user resolution applied and orphaned entries flagged), and Hive Notes (embedded or attached as text). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and Workflow rebuild handoff
We freeze Hive project writes during cutover, run a final delta migration of any records modified during the migration window, then enable Asana as the system of record. We deliver the Workflow inventory document—listing every Hive Workflow with its trigger, conditions, and actions—to the customer's admin team with a recommended Asana Rules equivalent. We support a one-week hypercare window where we resolve any reconciliation issues raised by the team. We do not rebuild Hive Workflows as Asana Rules inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Hive
Source
Strengths
Weaknesses
Asana
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 Hive and Asana.
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
Hive: Not publicly documented (server-side throttling enforced; excess requests return HTTP 429).
Data volume sensitivity
Hive 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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