CRM migration

Migrate from Team Tracker to Odoo CRM

Field-level mapping, validation, and rollback between Team Tracker and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.

Team Tracker logo

Team Tracker

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

12 of 12

objects map 1:1 between Team Tracker and Odoo CRM.

Complexity

BStandard

Timeline

2–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Team Tracker organizes data around members, teams, tasks, projects, time entries, and attendance records — a model optimized for employee monitoring and productivity tracking. Odoo CRM organizes around leads, opportunities, contacts, projects, and timesheets — a model optimized for sales pipeline management and ERP integration. These are fundamentally different data architectures, so the migration requires careful object routing rather than a simple one-to-one field map. The most consequential mapping decision is what Team Tracker members become in Odoo. Members hold name, email, and contact data but also function as employees within Teams — a structure that Odoo splits into two separate concepts: res.partner (contacts) and hr.employee (employees). FlitStack AI routes member records by examining role metadata if available; otherwise, it creates res.partner records and flags the employee-track for Odoo HR setup. Team Tracker's teams map to hr.department, and custom team-level fields become custom fields on the department record. Tasks and projects map directly to project.task and project.project, but Team Tracker's custom task statuses (custom_status, custom_priority) require value-by-value mapping to Odoo stage names per project, and the custom fields need custom field creation in Odoo. Time entries map to account.analytic.line with project_id and user_id linkage — however, Odoo's native timesheet entry model differs from Team Tracker's log format, so timesheet data is preserved as analytic lines and a timesheet-compatible project is recommended post-migration. Attendance records from Team Tracker do not map to Odoo hr.attendance because the data shapes differ — Team Tracker records productivity metrics (location, apps used, screenshots taken) that Odoo's check-in/check-out attendance model cannot store natively. FlitStack AI preserves attendance records as custom fields on hr.employee and flags which Odoo HR attendance configuration best matches your team's needs. Workflows, alerts, and automated rules built in Team Tracker do not migrate to Odoo — those automation constructs need to be rebuilt in Odoo's Automations or Studio. We export the rule definitions so your Odoo admin has a rebuild reference.

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

Team Tracker logo

Team Tracker

What's pushing teams away

  • Screenshot capture, app monitoring, USB blocking, and stealth mode are widely perceived as invasive in office and hybrid work settings, leading to employee pushback and adoption failures.
  • Stealth monitoring raises legal exposure in jurisdictions that require written employee consent (EU under GDPR, several US states, parts of Canada and Australia), pushing teams toward consent-first tools.
  • No publicly documented API or bulk export endpoint, making downstream integrations and large data migrations dependent on manual CSV downloads.
  • Thin independent review corpus relative to competitors like Hubstaff, Time Doctor, and Teramind, making vendor due diligence and feature validation harder.
  • Naming overlap with multiple similarly-titled products (TeamTracker, TeamTracks, TeamTracky, teamtracker.net high school sports tool) creates buyer confusion and complicates support discovery.

Choosing

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Team Tracker objects map to Odoo CRM

Each row shows how a Team Tracker object lands in Odoo CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Team Tracker

Member

maps to

Odoo CRM

res.partner

1:1
Fully supported

Team Tracker members hold name, email, phone, and role data that maps directly to Odoo's res.partner. Email addresses are unique identifiers for de-duplication during import. If Team Tracker's members function as employees, a separate hr.employee record is also created — FlitStack AI flags dual-role members for your Odoo admin to confirm.

Team Tracker

Member

maps to

Odoo CRM

hr.employee

1:1
Fully supported

When Team Tracker members represent employees rather than external contacts, hr.employee records are needed in Odoo HR. FlitStack AI creates the employee record with name and user linkage, and preserves the Team Tracker member_id as a custom field (team_tracker_member_id) on the employee for traceability and delta-run matching.

Team Tracker

Team

maps to

Odoo CRM

hr.department

1:1
Fully supported

Team Tracker's Team object (name, manager, parent_team) maps to Odoo's hr.department. Odoo departments are hierarchical; parent_team resolves to parent_path in hr.department. Team-level custom fields migrate as custom fields on the department record. Note that Odoo department is not a CRM-specific object — your Odoo admin may prefer crm.team for sales team routing.

Team Tracker

Project

maps to

Odoo CRM

project.project

1:1
Fully supported

Team Tracker projects map 1:1 to Odoo project.project. Project name, description, start_date, end_date, status, and user_id (project manager) transfer directly. The project privacy_visibility setting defaults to 'employees' in Odoo and can be adjusted per project post-migration. Additionally, the active flag, color index, and tags from Team Tracker map to Odoo's active boolean, color field, and project.tags many2many relation respectively — these require the tags to exist in Odoo before migration or be created during the schema setup phase.

Team Tracker

Task

maps to

Odoo CRM

project.task

1:1
Fully supported

Task records map to project.task with name, description, priority, project_id, user_id (assigned to), date_deadline, and create_date preserved. The key mapping challenge is custom_status — Team Tracker's freeform status values map to project.task.stage_id via value-by-value mapping per project. FlitStack AI generates the Odoo stage names from your Team Tracker custom_status vocabulary.

Team Tracker

custom_status (Task field)

maps to

Odoo CRM

project.task.stage_id

1:1
Fully supported

Team Tracker's custom_status field stores freeform text values like 'In Progress', 'Needs Review', 'Blocked'. These are not tied to a formal stage schema. FlitStack AI creates Odoo Kanban stages named from your actual custom_status vocabulary, scoped to each project, so the stage names match your original workflow labels. Probability and fold settings are applied as Odoo defaults.

Team Tracker

TimeEntry

maps to

Odoo CRM

account.analytic.line

1:1
Fully supported

Team Tracker time entries (date, duration_hours, billable, task_id, user_id, description) map to Odoo analytic lines linked to the corresponding project.task via project_id and task_id. Note that Odoo's native timesheet model (project.timesheet) expects a different entry format — analytic lines preserve all data but a timesheet-compatible project configuration is recommended post-migration.

Team Tracker

Attendance

maps to

Odoo CRM

hr.attendance + custom fields on hr.employee

1:1
Fully supported

Team Tracker attendance records include check_in, check_out, location, device_type, apps_screamshotted, websites_visited — data that does not fit Odoo hr.attendance's check-in/check-out model. FlitStack AI creates custom fields on hr.employee (check_in_custom, check_out_custom, location_custom, device_type, productivity_metrics) to preserve the full record. Odoo's standard hr.attendance can be configured independently if needed.

Team Tracker

Custom fields on Member

maps to

Odoo CRM

Custom fields on res.partner / hr.employee

1:1
Fully supported

Team Tracker allows custom fields on member records (priority_level, alert_enabled, alert_threshold, etc.). Odoo has no pre-built equivalent for most of these. FlitStack AI creates matching custom fields on res.partner (and optionally hr.employee) using Odoo's ir.model.data approach, preserving field type, selection options, and default values. Field metadata is included in the migration plan.

Team Tracker

Custom fields on Task

maps to

Odoo CRM

Custom fields on project.task

1:1
Fully supported

Task-level custom fields in Team Tracker (custom_field_1 through custom_field_n) require custom field creation in Odoo. FlitStack AI inspects the Team Tracker field schema, creates matching fields on project.task using Odoo field types (char, selection, date, float, etc.), and includes the full field list in the Odoo Studio setup guide delivered with the migration plan.

Team Tracker

Note / Attachment

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Team Tracker notes and file attachments attach to the relevant parent record (member, task, project). They migrate as ir.attachment records in Odoo with res_model and res_id pointing to the mapped Odoo record. File content is re-uploaded to Odoo's filestore. Inline images in notes are extracted and re-hosted as attachment binaries.

Team Tracker

Lead / Opportunity data (if tracked in Tasks)

maps to

Odoo CRM

crm.lead

1:1
Fully supported

If Team Tracker teams use Tasks to store informal lead or deal records (deal name in task title, deal value in a custom field), FlitStack AI surfaces this pattern during the pre-migration audit. These records are migrated to crm.lead with the mapped field values, and the mapping plan flags which tasks to reclassify as leads versus project work.

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.

Team Tracker logo

Team Tracker gotchas

High

Screenshot archives are not exported via data migration

Medium

Idle-time discard settings affect reported hours

Medium

Tier-gated custom fields create schema gaps

Low

Geofence and GPS polling intervals may not map 1:1

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Member-to-contact routing requires upfront schema decision in Odoo

    Team Tracker's Member object holds both personal contact data and employment data — name, email, role, and team membership live in one record. Odoo separates these into res.partner (contact) and hr.employee (employee), and an individual may need both. If your Team Tracker instance uses members for both external contacts and internal employees, the migration must decide per-record: create res.partner, create hr.employee, or create both linked records. FlitStack AI surfaces this decision during the pre-migration audit — choosing the wrong routing means contacts appear without employment context or vice versa, and correcting it after migration requires record merging.

  • Custom task statuses require per-project stage creation in Odoo

    Team Tracker's custom_status field stores freeform text values — there is no formal stage schema, so 'In Progress', 'Needs Review', and 'Blocked' are just text strings. In Odoo, project.task.stage_id requires named stage records scoped to each project.project. Migrating 10 custom_status values across 20 projects means creating 200 stage records, each with a stage name, sequence, and fold setting. FlitStack AI generates the stage creation plan from your actual custom_status vocabulary before data lands, but the stages themselves must be created by your Odoo admin in Studio or via data import. Without pre-created stages, custom_status values land as blank stage_id.

  • Attendance productivity metrics do not fit Odoo hr.attendance

    Team Tracker records detailed productivity data per attendance session: apps_screamshotted, websites_visited, location, and device_type. Odoo hr.attendance stores only employee_id, check_in, check_out, and worked_hours — there is no native field for app usage, website visits, or location per attendance record. FlitStack AI preserves this data as custom fields on hr.employee (e.g., last_location__c, last_device__c) but this does not give you the per-session breakdown that Team Tracker provides. If per-session productivity records are critical for compliance or billing audits, plan to keep Team Tracker accessible or export the raw attendance log separately before cutover.

  • Time entries do not auto-populate Odoo's native timesheet interface

    Team Tracker time entries map to account.analytic.line, which is the underlying data table Odoo's timesheet module reads. However, Odoo's project.timesheet UI expects entries to come through its entry form with specific project-task linking and unit-of-measure defaults. Entries migrated directly as analytic lines may appear in Odoo reports but not in the Timesheet app's entry grid without additional configuration. FlitStack AI maps the data correctly at the database level, but your Odoo admin should configure the project as 'timesheet billing' in project settings before the full migration run so the timesheet interface picks up the migrated entries.

  • Team Tracker's custom fields need manual Odoo Studio setup before migration

    Team Tracker's custom field schema (field name, type, selection options, default values) is exported during the pre-migration audit, but Odoo requires custom fields to be created in the target database before data can land in them. If Team Tracker has 15 custom fields on tasks and 10 on members, those 25 field definitions must be created in Odoo Studio (or via XML data import) before the migration validates. FlitStack AI delivers a field-creation checklist with exact Odoo field types, selection option lists, and default values, so your admin can pre-create the schema in under an hour. Fields not pre-created are skipped during migration and flagged in the validation report.

Migration approach

Six steps for a successful Team Tracker to Odoo CRM data migration

  1. Audit Team Tracker data and map custom fields to Odoo equivalents

    FlitStack AI exports the full Team Tracker object schema including all custom fields, custom_status vocabulary, and relationship metadata. We identify which members are contacts, which are employees, and which need both Odoo records. Custom fields are matched to Odoo field types (char, selection, float, date, boolean) and a field-creation checklist is generated for your Odoo admin. This audit also surfaces informal CRM data stored in tasks (deal names, deal values) so it can be routed to crm.lead instead of project.task.

  2. Pre-create Odoo schema: stages, custom fields, and department hierarchy

    Before data moves, your Odoo admin creates the Kanban stages per project (from the Team Tracker custom_status vocabulary), custom fields on res.partner, hr.employee, and project.task, and the hr.department hierarchy from Team Tracker teams. FlitStack AI delivers exact field names, selection option lists, stage sequences, and department parent relationships in a setup checklist. Departments and stages must exist in Odoo before records that reference them are imported — otherwise the foreign key resolution fails.

  3. Migrate foundational records in dependency order

    Odoo enforces referential integrity — res.partner must exist before hr.employee (via user_id), and project.project must exist before project.task (via project_id). FlitStack AI sequences the migration in this order: (1) res.partner from Team Tracker members, (2) hr.department from teams, (3) hr.employee from members flagged as employees, (4) project.project, (5) project.task with stage_id and user_id linking, (6) account.analytic.line from time entries, (7) hr.attendance with employee_id lookup. Each batch waits for the previous foreign key resolution to complete before committing.

  4. Run a sample migration with field-level diff and stage-name validation

    A representative slice — typically 100–300 records across members, tasks, time entries, and attendance — migrates first. FlitStack AI generates a field-level diff report showing source values against destination field values, flagging: custom_status values that failed to map to a stage, member records that matched no Odoo user (owner resolution failures), time entries whose task_id resolved to no project.task, and attendance records whose employee_id resolved to no hr.employee. You review the diff and approve before the full run commits.

  5. Execute full migration with delta-pickup window and rollback plan

    The full dataset runs against Odoo CRM. A delta-pickup window (24–48 hours) captures any records modified in Team Tracker during the cutover window — this is critical for time entries logged on the day of migration. FlitStack AI maintains an audit log of every record created, updated, or skipped. If reconciliation reveals missing records or incorrect stage mapping, one-click rollback reverts the Odoo database to its pre-migration state. After rollback, the migration plan is adjusted and the run is re-executed without re-importing already-correct records.

Platform deep dives

Context on both ends of the pair

Team Tracker logo

Team Tracker

Source

Strengths

  • Employee monitoring and attendance tracking in a single platform
  • Location and GPS tracking for field workers on mobile
  • Idle-time detection with configurable discard rules
  • Tiered feature access from Starter to Professional across task management
  • Department and group organization for mid-sized field teams

Weaknesses

  • Screenshots, app monitoring, and USB blocking are invasive for office workers
  • Limited review corpus makes independent evaluation difficult
  • Stealth monitoring mode raises employee consent concerns in regulated jurisdictions
  • Bulk data export and API endpoints not publicly documented
  • Product appears to share a market with multiple similarly-named tools, complicating vendor research
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Standard CRM migration. All 8 core objects map 1:1 between Team Tracker and Odoo CRM.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Team Tracker and Odoo CRM.

  • Object compatibility

    A

    All 8 core objects map 1:1 between Team Tracker and Odoo CRM.

  • 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

    Team Tracker: Not publicly documented.

  • Data volume sensitivity

    B

    Team Tracker doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Team Tracker to Odoo CRM 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 Team Tracker to Odoo CRM data migrations

Answers to the questions buyers ask most during Team Tracker to Odoo CRM migration scoping. Not seeing yours? Book a call.

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Most Team Tracker to Odoo CRM migrations complete in 2–5 days of clock time for under 10,000 total records across members, tasks, time entries, and attendance. Larger datasets over 50,000 records or setups with 20+ custom fields per object extend to 5–10 days. The longest planning step is pre-creating Odoo stages from Team Tracker's custom_status vocabulary and confirming member-to-contact routing decisions with your admin before data moves.

Adjacent paths

Related migrations to explore

Ready when you are

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