CRM migration
Field-level mapping, validation, and rollback between mQuest and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
mQuest
Source
monday CRM
Destination
Compatibility
11 of 11
objects map 1:1 between mQuest and monday CRM.
Complexity
BStandard
Timeline
3–5 days
Overview
mQuest stores CRM data in a conventional object model — contacts, companies, deals, and activities as discrete database records with standard and custom fields. monday CRM represents all CRM entities as board items organized by columns, where each column type (text, date, dropdown, connector, etc.) replaces the traditional field definition. This structural difference is the core migration challenge: FlitStack AI first maps every mQuest object to a monday CRM board, then maps each mQuest field to the equivalent monday column type, creating custom columns where no native equivalent exists. Activities (calls, emails, meetings) migrate as subitems or linked items in monday CRM's activity boards. Custom fields from mQuest become new monday CRM columns created during schema setup. Workflows, automations, and templates in mQuest do not carry over — FlitStack exports workflow definitions as a rebuild reference for your monday CRM admin. The migration runs via monday's API with rate-limit-aware batching (1,000–10,000 calls/day depending on your plan), and a delta-pickup window captures records modified during the cutover window so the destination reflects mQuest's final state at go-live.
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 mQuest object lands in monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
mQuest
Contact
monday CRM
People Board
1:1mQuest contacts map directly to monday CRM's People entity. Each contact record becomes a person item in the designated People board. Primary company association maps to a monday CRM Company connector column on the People board. Contact owner resolves by email match to a monday CRM user.
mQuest
Company
monday CRM
Companies Board
1:1mQuest company records map to monday CRM's Companies board. Each company becomes an item with columns for name, domain, industry, employee count, and revenue. The company hierarchy (parent/child) maps to monday CRM's Group structure or a custom Link to Item column.
mQuest
Deal
monday CRM
Pipeline Board
1:1mQuest deals become items in monday CRM's Pipeline board (or a named equivalent board). The pipeline stages from mQuest map to monday CRM's Status column values. Each pipeline in mQuest corresponds to one monday CRM board. Deal values, close dates, and owners map to numeric, date, and person columns.
mQuest
Activity (Call/Email/Meeting)
monday CRM
Activity Board (or Subitems)
1:1mQuest logged activities (calls, emails, meetings) migrate as items in a dedicated monday CRM Activity board, linked to the related contact or deal item via monday CRM's relation/connector columns. Original timestamps and activity type are preserved in custom columns. Each activity item also retains the owner information and any associated notes, ensuring that the full interaction history is accessible within monday CRM for reporting and follow-up.
mQuest
Custom Field (on Contact)
monday CRM
People Board Column
1:1Each mQuest custom field on Contact requires a new column in the monday CRM People board. FlitStack creates the column with the matching type (text, number, date, or dropdown) and maps values during migration. Dropdown fields use monday CRM's Status or Dropdown column type.
mQuest
Custom Field (on Deal)
monday CRM
Pipeline Board Column
1:1mQuest custom fields on Deals map to new columns in the Pipeline board. The column type is selected based on the source field's data type. For multi-select pick-lists in mQuest, FlitStack creates a monday CRM Tags column to preserve multiple selected values.
mQuest
User / Owner
monday CRM
monday CRM User (Person column)
1:1mQuest owner IDs resolve to monday CRM users by email address. Unresolved owners are flagged before migration — the team either invites the user to monday CRM first or assigns their records to a designated fallback owner. Owner resolution is logged in the migration audit trail.
mQuest
Pipeline Stage
monday CRM
Status Column Values
1:1Each mQuest deal pipeline stage name maps to a monday CRM Status column value on the corresponding Pipeline board. The mapping is defined one-to-one during planning. Stage order and color coding in monday CRM are applied based on the source stage sequence.
mQuest
Deal Amount
monday CRM
Numbers Column
1:1mQuest deal monetary amounts map directly to a monday CRM Numbers column. Currency is stored as a text note in the same column or a separate text column depending on whether multi-currency support is needed in monday CRM.
mQuest
Attachment / File
monday CRM
monday CRM Files
1:1File attachments from mQuest records are downloaded and re-uploaded to the corresponding monday CRM item as file attachments. File size limits (default 250MB per file in monday CRM) are enforced. Inline images in notes are extracted and re-hosted as monday CRM image columns or file attachments. All attachments retain their original file names for simple identification.
mQuest
Deal Stage History
monday CRM
Custom Date/Text Columns
1:1If mQuest preserves stage-change timestamps, FlitStack creates a custom text or date column in the Pipeline board to store the historical stage transition log as a JSON string or multi-line text for audit continuity. This history column allows sales managers to review the full progression of a deal through pipeline stages, supporting compliance audits and performance analysis.
| mQuest | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People Board1:1 | Fully supported | |
| Company | Companies Board1:1 | Fully supported | |
| Deal | Pipeline Board1:1 | Fully supported | |
| Activity (Call/Email/Meeting) | Activity Board (or Subitems)1:1 | Fully supported | |
| Custom Field (on Contact) | People Board Column1:1 | Fully supported | |
| Custom Field (on Deal) | Pipeline Board Column1:1 | Fully supported | |
| User / Owner | monday CRM User (Person column)1:1 | Fully supported | |
| Pipeline Stage | Status Column Values1:1 | Fully supported | |
| Deal Amount | Numbers Column1:1 | Fully supported | |
| Attachment / File | monday CRM Files1:1 | Fully supported | |
| Deal Stage History | Custom Date/Text Columns1:1 | 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.
mQuest gotchas
No public API documented for programmatic data extraction
Custom field schemas vary by tenant with no published reference
Invoiced job data may require fiscal-period alignment
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Audit mQuest data model and schema
FlitStack AI connects to mQuest via its API (or CSV export where API access is restricted) and inventories all standard objects, custom fields, pick-list values, owner records, and pipeline configurations. This audit produces the field-level mapping document that drives the entire migration plan, including which boards need to be created in monday CRM and which column types are required for each custom field.
Build monday CRM board schema
Before any data moves, FlitStack AI creates the monday CRM boards (People, Companies, Pipeline boards per mQuest pipeline, Activity board) and adds all required columns — including custom columns for mQuest custom fields, source-system IDs, and original timestamps. monday CRM board creation requires a user with admin-level workspace access. Column types are set during this step to match the source field data types.
Migrate companies, then people, then deals, then activities
monday CRM's connector and relation columns require referenced items to exist first, so FlitStack AI sequences the migration in dependency order: Companies first, then People (with company links resolved), then Pipeline boards (with person and company links resolved), then Activity items (with person and deal links resolved). Each object batch runs in monday CRM's API with rate-limit-aware batching, and records are validated after each batch to confirm column population.
Run sample migration with field-level diff
A representative slice — typically 100–300 records spanning contacts, companies, deals, and activities — migrates first. FlitStack AI generates a field-level comparison report showing every source field value and its mapped destination column value side by side. This report lets you verify value-mapping for pick-list fields, owner resolution, and company/contact link accuracy before the full run commits. The sample also checks for any missing column mappings or unsupported field types, allowing you to address schema gaps before committing the full dataset.
Execute full migration with delta-pickup window
The full record set migrates against monday CRM's live environment using scoped read access on mQuest — your team keeps working in mQuest throughout. A delta-pickup window (typically 24–48 hours) captures any records created or modified in mQuest during the cutover. The audit log records every operation, and one-click rollback is available if reconciliation fails after the delta window closes.
Platform deep dives
mQuest
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 mQuest and monday CRM.
Object compatibility
1 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
mQuest: Not publicly documented..
Data volume sensitivity
mQuest exposes a bulk API — large-volume migrations stream efficiently.
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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