Migrating from Monday to Vaiz: Step-by-Step Guide

Pre-Migration Audit

Before a single board is exported, inventory what the team actually uses. Half the boards in a mature Monday workspace are abandoned, duplicated, or carrying stale automations that should not survive the move.

The audit phase is week 1 and week 2 of the migrating from Monday to Vaiz timeline. Skipping it is the single most reliable way to drag a 90-day rollout into six months. The output is a simple spreadsheet: every board the team has, who owns it, how often it's edited, and whether it migrates as-is, gets rebuilt, or gets archived. A 25-seat team typically finds that 30-to-40% of boards are inactive, another 20% duplicate work that lives somewhere else, and roughly half the automations have not fired in the last 90 days.

• Inventory active boards: anything edited in the last 30 days; older boards default to archive unless someone claims them
• Catalog automations: note which trigger types are in use (status change, date arrived, item created) and which Pro-tier features (recipes, AI actions) are touched
• Map integrations: list each external tool wired in (Slack, GitHub, Jira, Figma, calendar) and confirm Vaiz coverage before scheduling the cutover
• Note custom column types: formula, mirror, connect-boards, and dependency columns map to specific Vaiz block types and need the most rebuild thought
• Tag boards with ownership: every board needs a named owner who signs off that the Vaiz rebuild matches what the team needs

The audit produces three lists: migrate (rebuild in Vaiz before cutover), archive (keep read-only on Monday for the sunset window), and decommission (delete after sign-off). Roughly half of every workspace ends up on the second or third list, which is the part teams find surprising and which is also the biggest cost-saving lever of the move.

A second audit output worth producing: a workflow shape catalog. For each migrating board, document the column types in use, the automation rules, the dashboard widgets it feeds, and the integrations it touches. This catalog is the rebuild specification — without it, the team will rebuild what they remember rather than what was actually running. Memory is wrong about 30% of the time, especially for boards that have been delegated through several owners. Writing it down once at audit time saves a week of rework at rebuild time.

The audit also surfaces governance questions the team has been deferring. Who owns the marketing pipeline board now that the original owner left? Should the freelancer guest seats still have edit access? Is the QA checklist board still the source of truth or has it been replaced by the engineering team\'s newer system? These conversations are useful regardless of whether the migration goes forward, which is one reason teams that complete the audit but cancel the migration still report value from the exercise.

Half the work in a Monday workspace will not migrate — finding that out in week one beats finding it in week ten.

Exporting Data from Monday.com

Monday's CSV export per board is straightforward for active items; bulk export across boards uses the API and needs rate-limit handling. Plan for both paths in the same week.

Export is week 3 and runs in parallel with the first Vaiz rebuild. The simple path is per-board CSV export from the board menu, which works for any board, includes column values and item names, but omits subitem nesting and updates threads. The harder path is bulk export, which uses Monday's GraphQL API and runs into rate limits past a certain item count. Most teams blend the two: CSV for the 20-30 active boards, API for the long tail of archived boards if the team wants the full history.

1. Per-board CSV exports. From each active board, click the board menu, choose Export Board to Excel, and save as CSV. Repeat for every board in the migrate list. Save into a folder structure that mirrors workspace/folder/board so the rebuild path is obvious.
2. Export updates and files separately. CSV export drops updates threads and file attachments. For boards where the discussion record matters, run the Monday API items query against each board, paginate at 100 items, and pull the updates field. Save to JSON per board.
3. Pull files with a script. Files in Monday live on per-item asset URLs that expire, so download them inside the export window. A simple loop over the JSON dump pulls assets to a local archive. Plan storage: a content-heavy 50-seat workspace can hit 40-60 GB of attachments.
4. Bulk export for archives via API. For archived boards, run a single GraphQL query per board with the columns you actually want. Respect the rate limit (10M complexity per minute) by adding a per-board sleep; do not parallelize beyond two workers without measuring throttle responses.
5. Validate before deleting anything. Open the CSV in a spreadsheet, sample 5 random items per board against the live board, and confirm column values match. Do this before touching the Monday data — once items are deleted, recovery costs API time you may not have.
6. Stage the exports in cloud storage. Drop the full export tree into S3, Google Drive, or whatever the team already pays for. Two reasons: the local laptop is the wrong place for 60 GB of company data, and the Vaiz import step pulls from a stable URL or a re-uploaded file.

The most common mistake at this step is treating export as a one-shot. Run it twice: a dry run in the first half of week 3 to catch the boards that need API-only handling, then a production run at the end of week 3 once the audit list is final. The delta between the two runs is the queue of changes the team made while planning, and reconciling that delta is faster than re-exporting from scratch.

CSV-per-board handles 80% of the data; the API run cleans up the long tail and the file attachments.

Rebuilding Workflows in Vaiz

Vaiz import accepts CSV per project, with manual mapping from Monday columns to Vaiz block types. The mapping is well-documented but not automatic; every workflow rebuild needs an owner who knows what the board was for.

Rebuild is the heart of the parallel-run pilot in weeks 3 through 6. The job: every migrated board needs a Vaiz project that produces the same operational outcomes, not necessarily the same visual layout. Trying to recreate a Monday board pixel-for-pixel in Vaiz fights the tool. Mapping the workflow (what triggers what, who owns what status, what reports the team reads) produces a cleaner result.

• Column types map deliberately: Monday Status maps to Vaiz status field; Date maps to due date; People to assignee; Formula to a calculated field or a built-in metric; Mirror to a linked reference block
• Automations rebuild from scratch: there is no automation export. Re-create rules using the audit catalog from week 1, then trim to the rules that have actually fired in the last 90 days
• Subitems become subtasks or child blocks: Vaiz handles both patterns; pick one per project family and stay consistent so reports roll up cleanly
• Dashboards rebuild last: wait until tasks have flowed through the new workflow for two weeks before rebuilding reports, otherwise the widgets are calibrated against empty data
• Templates get a refresh: every recurring delivery (sprint, monthly close, client onboarding) gets a Vaiz template tied to a parent project so future runs start at zero friction

This is also the moment to drop boards that did not justify rebuilding. About 15-20% of the migrate list discovers, during rebuild, that it was a duplicate of another board or could be folded into one. The team running the rebuild has the most current view of what the work actually needs, which is information the audit alone cannot surface. The workflow automation comparison covers the trigger and action mechanics in detail if specific rules need a reference.

Rebuild order matters. Start with the highest-velocity board (the team\'s primary daily surface) so the pilot has real traffic. Move to the cross-functional handoff boards next, because those expose the most permission and visibility edge cases. Save the long-tail boards (HR pipelines, vendor trackers, annual planning) for last — these run slower, can tolerate a rebuild gap of a week, and surface the unusual column types that take longest to map. This ordering keeps the rebuild team learning Vaiz on the simplest cases first and applying that knowledge to the harder ones, rather than the other way around.

A specific gotcha worth flagging: Monday\'s Mirror columns and Connect Boards columns map to Vaiz reference blocks, but the directional semantics are different. A Monday Mirror is a one-way view of another board\'s data; a Vaiz reference block is a bidirectional link that updates both sides. Teams that rely on Mirror columns to create read-only summary boards need to either set the Vaiz reference to read-only on one side or restructure the dependency. This is rarely a blocker but it is the most common rebuild surprise; planning for it ahead of time saves an afternoon of confused debugging.

Rebuild for workflow outcomes, not for visual parity — the cleaner result is worth the extra week of design conversation.

Team Rollout and Change Management

Tool migrations succeed or fail on change management, not on data integrity. The pattern that works: pilot one team, document the gotchas, then roll out by team rather than by department.

Weeks 7 through 10 are the team rollout window. The phasing matters: one team at a time, two-week ramp per team, with the pilot team acting as in-house support for the second. Trying to switch 50 people on the same Monday morning produces a backlash that lasts months. Phasing by team produces a steady migration with fixable mistakes.

• Pilot team picks itself: the team most painfully affected by Monday's tier caps, or the team that owns the highest-velocity board, is the natural first mover
• Two-week ramp per team: week one is dual-use (work happens in both tools, Vaiz is the source of truth from day three), week two is Vaiz-only with Monday in read-only
• Office hours, not training: replace formal training with a daily 30-minute drop-in window for two weeks. People learn the new tool by using it, not by watching slides
• One named champion per team: the person who owns the workflow rebuild for that team also owns the rollout for that team. No exceptions
• Decommission Monday access deliberately: drop the team's edit access on day eight of their rollout, drop the workspace seats at the end of week ten

The honest part of change management: roughly 10-15% of the team will resist regardless of how the rollout is run. The cause is rarely the new tool. It is more often that the new tool exposes workflow problems the team had been routing around. Treat the resistance as workflow feedback and the rollout gets cleaner; treat it as adoption failure and the rollout gets messier.

Pilot one team, phase the rest by team rather than by department, and treat the inevitable 10% of resistance as workflow feedback rather than adoption failure.

Migration Timeline and Cost

The realistic timeline for a 25-to-50-seat organization is 90 days from kickoff to Monday sunset. The cost picture is more nuanced: platform savings start in month four, total project cost depends mostly on internal hours.

Phasing breaks down as audit (weeks 1-2), parallel-run pilot (weeks 3-6), team rollout (weeks 7-10), and sunset (weeks 11-12). The pattern holds across team sizes from 15 up to about 100; past that, the team rollout window stretches by about a week per additional 25 seats. Smaller teams (under 15) can compress the audit and skip the pilot, landing inside 60 days with discipline.

On cost: for a 30-seat team moving from Monday Pro ($19/user/mo annual) to Vaiz Pro ($5/user/mo annual), the platform spend drops from roughly $6,840/year to $1,800/year. The internal time investment runs about 0.5 FTE for the audit and rebuild owner over the 12-week window, plus roughly 4 hours per team member across the rollout. The 90-day rollout breaks even on platform savings somewhere around month five or six, after which the saving compounds. The Monday vs Vaiz pricing breakdown carries the per-seat pricing tables across team sizes from 5 to 250.

The hidden costs are worth naming. Training time during the rollout consumes more total hours than the rebuild itself; budgeting 4 hours per team member for the two-week ramp is realistic, and trying to do it in less typically produces incomplete adoption. Some workflows will need reshaping during rebuild — not because of tool limits but because the audit exposes process problems the team had been routing around. That reshaping is a one-time investment that pays back over the long run, but it slows the rebuild calendar in the moment. Budgeting an extra week for the rebuild phase covers most of this overhead.

The harder-to-measure benefit: teams completing a Monday-to-Vaiz migration consistently report a productivity bump in months four through twelve, on top of the platform savings. The cause appears to be the audit-driven workflow cleanup, not the new tool itself — half the savings come from the workflows that got simplified during the rebuild rather than from any feature in Vaiz. This matches the broader pattern in tool migrations: the value comes from the forced retrospective, with the new tool acting as the lever that made the retrospective happen.

Pricing and limit data verified against the vendor pricing pages on May 14, 2026.

A 25-to-50-seat migration runs about 90 days, costs roughly 0.5 FTE in internal time, and breaks even on platform savings around month five.