Project Management migration

Migrate from Float to Asana

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

Float logo

Float

Source

Asana

Destination

Asana logo

Compatibility

57%

8 of 14

objects map 1:1 between Float and Asana.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Float to Asana is a structural migration that maps a resource-scheduling data model onto a broader work management platform. Float organizes work around People, Projects, Tasks, and Clients with a calendar-first schedule view; Asana organizes around Projects, Tasks, and Members with Timeline, Board, List, and Calendar views. The key differences are that Float has native resource scheduling with capacity heatmaps, per-person cost and bill rates, and a Placeholder concept for unconfirmed hires that has no Asana equivalent. We handle the Department-to-Team mapping, preserve assigned hours as Timeline start and due dates, and flag Placeholder records for the admin to recreate manually as inactive members with a custom indicator field. We do not migrate Float's capacity heatmap data, schedule-based utilization views, or cost-rate and bill-rate fields as native Asana constructs — these require manual configuration or a third-party resource management add-on post-migration.

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

Float logo

Float

What's pushing teams away

  • Teams outgrow the limited project management features — no Gantt charts, weak dependency management, and reporting feels shallow for complex portfolios.
  • Difficulty managing part-time staff, freelancers, and syncing Float data with external payroll or leave systems creates double-entry work.
  • As teams scale past 100 people, the lack of advanced customization and bulk editing makes ongoing maintenance tedious.
  • Reporting and analytics lag behind dedicated business intelligence tools, leaving teams exporting to spreadsheets for real insights.
  • The platform lacks native budget tracking and financial integration, forcing finance teams to maintain parallel spreadsheets.

Choosing

Asana logo

Asana

What's pulling them in

  • Organizations with distributed teams cite Asana's multiple project views (List, Board, Calendar, Timeline) as the primary reason for adoption, allowing each team member to work in their preferred interface without changing the underlying data.
  • The platform's 100+ native integrations with tools like Slack, Google Drive, Salesforce, and Microsoft Teams reduce context-switching and keep work synchronized across the stack.
  • Small teams and non-profits value the free plan's generous limits: unlimited projects and tasks for up to 15 team members with basic views, enabling teams to validate fit before committing to a paid tier.
  • Marketing and creative teams specifically praise Asana's visual project organization, reporting dashboards, and timeline views for managing cross-functional campaign workflows.
  • Project managers report that Asana's dependency management and workload views help surface bottlenecks before they derail deadlines.

Object mapping

How Float objects map to Asana

Each row shows how a Float 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.

Float

People

maps to

Asana

Member

1:1
Fully supported

Float People records map to Asana Members. We preserve name, email, department assignment, and role. Float's cost_rate and bill_rate fields have no native Asana equivalent and migrate as custom fields cost_rate__c and bill_rate__c on the Member or as project-level custom fields depending on where the customer wants the data visible. Any People record flagged as a Float Placeholder is held in a reconciliation queue; we create a custom multi-select picklist placeholder_type__c with values confirmed and unconfirmed, set the Asana Member to inactive, and document the queue for the admin to resolve manually before go-live.

Float

Department

maps to

Asana

Team

1:1
Fully supported

Float Departments map directly to Asana Teams. The mapping is one-to-one using the department name as the Team name. All People assigned to a Department inherit the Team membership in Asana, which enables the Workload view to filter by team during capacity analysis. If the customer uses multi-department reporting, we also create a custom field original_department__c on each Member to preserve the source data if Team names change post-migration.

Float

Role

maps to

Asana

Custom field (multi-select picklist on Member)

lossy
Fully supported

Float Roles (Developer, Designer, Strategist, etc.) have no native equivalent in Asana. We create a multi-select picklist custom field called role__c on the Asana Member object. Role assignments migrate as selected option values. If the customer's Float account uses Roles as scheduling constraints (e.g., only Developers can be assigned to Development tasks), we document the constraint logic in a Roles and Permissions matrix so the admin can recreate it using Asana's custom fields or a third-party resource management integration.

Float

Client

maps to

Asana

Custom field on Project

lossy
Fully supported

Asana has no native Client object. We create a single-select picklist custom field client_name__c on the Asana Project. Each Float Client maps to an option value in that picklist. If the customer has more than 50 Clients, we recommend using a text field instead to avoid picklist value limits, or grouping by Client into Asana Portfolios where the Portfolio name matches the Client. The mapping choice is made during scoping based on the Client count and the customer's reporting structure.

Float

Project

maps to

Asana

Project

1:1
Fully supported

Float Projects map to Asana Projects. We preserve the project name, status (active, archived), start date, and end date. The Float project status maps to an Asana project membership and visibility setting. Archived projects migrate as archived Asana projects where the destination plan supports archiving (Starter and above). Client association is preserved via the client_name__c custom field described above.

Float

Placeholder

maps to

Asana

Inactive Member with custom field flag

1:1
Fully supported

Float Placeholders represent unconfirmed hires or future team members and are constrained by plan tier (1 on Starter, 5 on Pro, unlimited on Enterprise). Asana has no placeholder equivalent. We migrate Placeholder records as inactive Asana Members with a custom field placeholder_type__c set to unconfirmed. The inactive status prevents them from appearing in assignee dropdowns by default. The admin reviews the reconciliation list post-migration and either converts confirmed placeholders to active members or excludes them from the final migration. We flag this queue explicitly in the migration scope document before data movement begins.

Float

Task

maps to

Asana

Task

1:1
Fully supported

Float Tasks map to Asana Tasks. We preserve task name, description (notes), start date, end date, and assignee. Float's assigned hours migrate as a custom field estimated_hours__c on the Asana Task. Float's planned hours vs actuals (available on Pro and above) map to estimated_hours__c and actual_hours__c custom fields respectively. Float task notes migrate to Asana task descriptions. Section and subtask hierarchy in Float migrates to Asana sections and subtasks respectively.

Float

Schedule

maps to

Asana

Timeline view on Project

1:1
Fully supported

Float's schedule exports contain People allocated to Tasks with date ranges and scheduled hours. We map start_date and end_date from the schedule export to the Asana Task start date and due date, which renders the allocation in the Timeline view. Float CSV schedule exports are constrained by date-range selection; we handle multi-range stitching by chunking large schedules into weekly or bi-weekly exports, deduplicating on task_id and date, and reassembling before load. The scheduled hours from the schedule export populate the estimated_hours__c custom field.

Float

Time Entry

maps to

Asana

Custom field on Task or reference sheet

lossy
Fully supported

Float Time Entries record actual hours logged against Tasks. Asana has no native time tracking object. We migrate time entry data as a custom field actual_hours__c on the relevant Asana Task, populated from the Float time entry hours and date. For customers with high time-entry volume (over 10,000 records), we offer a separate time entry reference sheet as an alternative to bulk custom field population, since Asana custom field writes at scale against the API have lower throughput than standard record imports. The customer chooses the strategy during scoping.

Float

Time Off

maps to

Asana

Reference documentation or calendar integration

1:1
Fully supported

Float Time Off records block capacity for specific People on specific dates and affect utilization calculations. Asana has no native time-off object. We export Time Off records as a structured CSV with person, start date, end date, and type (vacation, sick, personal). The customer can use this to configure a calendar integration (Google Calendar or Outlook) or an HRIS sync (Rippling, BambooHR) post-migration. We do not import Time Off as Asana tasks since that would distort project planning data.

Float

Custom Field (People)

maps to

Asana

Custom field on Member

lossy
Fully supported

Float supports custom fields on People (text, number, date, multi-select). We discover the full custom field schema via the Float custom-fields API endpoint before extraction and map each field type to the equivalent Asana custom field format. Multi-select picklists in Float map to multi-select picklists in Asana. Number fields map to number fields. Text fields map to text fields. We deploy the Asana custom fields to the Member object via the API before member import begins.

Float

Custom Field (Project)

maps to

Asana

Custom field on Project

lossy
Fully supported

Float supports custom fields on Projects with the same type set as People custom fields. We discover the full project custom field schema during the pre-migration discovery phase, create equivalent fields on the Asana Project object, and map values during project import. Project custom field values that reference People (e.g., Project Manager as a person custom field) require a lookup resolution step to convert the Float person ID to the Asana Member GID before insert.

Float

Section

maps to

Asana

Section

1:1
Fully supported

Float task groupings within a Project (called Sections in Float's UI) map directly to Asana Sections within a Project. Section order is preserved by the sequence field. Tasks within each Section migrate with their section membership intact.

Float

Tag

maps to

Asana

Tag or Topic

lossy
Fully supported

Float Tags on Tasks map to Asana Tags. Tags used for content classification can alternatively map to Asana Topics with TopicAssignment records. The customer chooses the tag strategy during scoping. If Tags are used for categorization across multiple object types (Projects and Tasks), we recommend Tags as the simpler mapping.

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.

Float logo

Float gotchas

Medium

Placeholder limits by tier block full import

High

Active-user billing model affects migration scoping

Medium

Schedule CSV export truncates at date-range boundaries

Low

Custom fields require pre-migration schema discovery

Medium

Time entry history spans billing periods

Asana logo

Asana gotchas

High

Automation rules have no export representation

High

API rate limits cap bulk migration throughput

Medium

Portfolios are view-only objects that do not hold data

Medium

Custom field enum options cannot be updated via API

Low

Subtasks do not appear in project views by default

Pair-specific challenges

  • Float Placeholders have no Asana equivalent and require manual admin resolution

    Float's Placeholder concept (unconfirmed hires, temp workers, future team members) is constrained by plan tier. Asana has no placeholder or inactive-confirmed-team-member concept. We migrate Placeholder records as inactive Asana Members with a custom field flag. The admin must manually review each record during the reconciliation phase and either convert confirmed placeholders to active members or exclude them. Migrations that skip this step result in inactive members appearing in capacity reports or being missed in the People export entirely.

  • Float's capacity heatmaps and utilization views do not migrate to Asana

    Float's native capacity heatmap shows team utilization across date ranges and is a core feature for resource managers. Asana's Workload view (available on Business plan) shows assigned task hours but does not natively compute capacity utilization against available hours. We document the Float utilization report structure and the date ranges used so the customer's admin can configure Workload view filters or implement a reporting integration. Capacity heatmap recreation is out of scope for the migration.

  • Asana CSV export requires per-project export in the UI; bulk export requires the API

    Float's schedule CSV export requires selecting a date range per export, and Asana's UI only supports per-project CSV export without a bulk option. For large migrations, we use both the Float API (to paginate through schedule data and custom fields) and the Asana Bulk API (to import Projects, Members, and Tasks). Teams with over 200 projects should expect the migration scoping phase to include API-based extraction setup. UI-based migration tools may miss projects if the team relies on bulk export.

  • Asana enforces one assignee per task; Float supports multiple assignees per task

    Float allows assigning multiple People to a single Task for split allocation scenarios (e.g., a designer allocated at 50% and a developer at 50%). Asana Tasks support exactly one assignee field. We split multi-assignee Float Tasks into multiple Asana Tasks with the same name, dates, and hours, each with one assignee. This preserves total hours but changes the task structure. We flag these records in the migration scope and the admin reviews before production import.

  • Float cost rate and bill rate have no native Asana field and require custom field setup

    Float stores per-person cost_rate and bill_rate for project margin tracking. Asana has no native equivalent field on Member or Project. We create custom number fields on the Member record during schema setup. However, margin and profitability reports that use these rates in Float require a different approach in Asana (custom reports, a reporting integration, or an external BI tool). We document the rate fields and their values so the admin can configure reporting post-migration.

Migration approach

Six steps for a successful Float to Asana data migration

  1. Discovery and scoping

    We audit the source Float account across plan tier, People count, Placeholder count, Department count, Role count, Client count, Project count, Task count, and time entry volume. We use the Float custom-fields API endpoint to enumerate all active custom fields on People and Projects before extraction. We identify the Client count to decide the client_name__c field strategy (picklist vs text). We count multi-assignee Tasks to flag the one-assignee constraint. We review the Float schedule export to assess date-range chunking requirements. The discovery output is a written migration scope including record counts, custom field schemas, and a decision matrix for Placeholders, time entries, and Clients.

  2. Schema design in Asana

    We design the Asana destination schema in a temporary workspace before production migration. This includes creating Teams (one per Float Department), creating custom fields on Member (role__c, cost_rate__c, bill_rate__c, placeholder_type__c, original_department__c), creating custom fields on Project (client_name__c as picklist or text depending on Client count), and creating custom fields on Task (estimated_hours__c, actual_hours__c). We set up the Asana Timeline view on Projects to receive start and due dates from the Float schedule export. All schema elements are deployed via the Asana API before any records are imported.

  3. Test migration in temporary workspace

    We run a test migration into a temporary Asana workspace using production data volume. The customer reconciles record counts (Members in, Teams in, Projects in, Tasks in), spot-checks 25-50 records against the Float source, and reviews custom field values. We specifically validate Placeholder flagging, multi-assignee task splitting, and time-entry placement strategy. The customer signs off the test migration before production migration begins. Any mapping corrections are made during this phase.

  4. Member provisioning and inactive user setup

    We extract all Float People including Placeholders and match by email against the Asana destination organization's Member list. Any Float People without a matching Asana Member go to a provisioning queue. We create all confirmed People as active Asana Members, and Placeholders as inactive Members with placeholder_type__c set to unconfirmed. The admin reviews the inactive Member queue and resolves each record (activate, delete, or keep inactive) before go-live.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Teams first (independent), then Projects with client_name__c populated, then Members with department, role, and rate custom fields, then Tasks with start dates, due dates, and estimated hours from the Float schedule export. Schedule data is assembled by chunking the Float schedule export into weekly slices, deduplicating on task ID, and loading into Asana Timeline via the API. Time entries are loaded as actual_hours__c custom fields on Tasks (or as a reference sheet if volume exceeds 10,000). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and handoff

    We freeze Float 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 and automation inventory document (documenting Float's schedule-based alerts and capacity notifications that have no Asana equivalent) and the Placeholder reconciliation queue. We support a one-week hypercare window where we resolve any record-level issues raised by the team. We do not configure Asana Workload view filters, capacity formulas, or reporting dashboards as part of the migration scope; these are post-migration admin tasks or a separate engagement.

Platform deep dives

Context on both ends of the pair

Float logo

Float

Source

Strengths

  • Calendar-first scheduling UI that makes drag-and-drop resource allocation intuitive for project managers.
  • Per-user per-month pricing with active-user billing aligns cost to actual team size month-to-month.
  • Native time tracking with timesheet export reduces the need for separate billing tools.
  • Capacity heatmaps surface over-allocated and under-utilized team members at a glance.
  • SOC 2 Type 2 certified platform suitable for enterprise professional services firms.

Weaknesses

  • Limited project management depth — no Gantt charts, no task dependencies, no sprints or Agile views.
  • Reporting and analytics lag behind competitors, requiring spreadsheet exports for portfolio-level insights.
  • No native financial management — budget tracking and profitability reporting require external tools.
  • Editing tasks in bulk is cumbersome, making large-scale schedule changes time-consuming.
  • Integration ecosystem is narrower than larger platforms, with no native payroll sync.
Asana logo

Asana

Destination

Strengths

  • Unlimited projects and tasks on the free plan for teams up to 15 members.
  • 100+ native integrations including Salesforce, Slack, Google Drive, and Microsoft Teams.
  • Four distinct project views (List, Board, Calendar, Timeline) in a single interface.
  • Dependency management with start/end dates and predecessor links for critical path tracking.
  • Portfolio dashboards for executives to track cross-project status and workload.

Weaknesses

  • Per-seat pricing scales expensively: Advanced tier costs nearly double Starter for a 50-seat team.
  • API does not expose all UI-accessible data; some fields require screen-scraping for full fidelity.
  • Automation rule limits on lower tiers are restrictive, causing power users to upgrade or leave.
  • No native document/wiki capability forces teams to use external tools for knowledge management.
  • Rate limits (150 req/min on free, 1,500 req/min on paid) constrain bulk migration throughput.

Complexity grading

How hard is this migration?

Standard Project Management migration. 2 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 Float and Asana.

  • Object compatibility

    B

    2 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

    Float: Not publicly documented.

  • Data volume sensitivity

    A

    Float exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Float to Asana 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 Float to Asana data migrations

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

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Most migrations land between three and five weeks for accounts under 100 People, 150 Projects, and 3,000 Tasks with no heavy Placeholder datasets or large time-entry histories. Migrations with large time-entry volumes (over 50,000 records), multiple Departments to map to Teams, or complex custom field schemas move to six to ten weeks because of schedule-stitching across date ranges, custom field schema design, and the Placeholder reconciliation phase that requires admin involvement.

Adjacent paths

Related migrations to explore

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