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If you are a system administrator, IT admin, or co-founder, you already know that monday.com can run a surprising amount of your business. Sales pipelines, engineering sprints, onboarding checklists, customer escalations - it all ends up there. Which makes the question of data loss less theoretical and more uncomfortable: what actually happens when something goes wrong?
This guide walks through how monday.com structures its data, what you can and cannot recover natively, and where the gaps are that will catch you off guard.
What is monday.com?
Monday.com is a work operating system that lets teams build custom workflows on top of a shared database of boards, items, and columns. In practice, it sits somewhere between a project management tool and a lightweight relational database - flexible enough to run almost any process, structured enough that a lot of people end up depending on it for things they probably should not depend on a project tool for.
Over the past two years, monday.com has moved hard into AI. Their Sidekick assistant can create and update items, summarize boards, and run multi-step workflows on your behalf. Their newest positioning, monday Vibe, pushes further into agentic territory: AI that does not just suggest things but takes action. That is useful. It is also the part that should make administrators nervous, because an AI agent that misreads a prompt can update hundreds of records before anyone notices.
How monday.com structures its data
Before anything gets deleted, it helps to understand how monday.com organizes data. Everything cascades downward, so deleting a container deletes its contents.
Workspaces
The highest level. Deleting a workspace removes every board, dashboard, and permission setting inside it. To delete one, open the left side pane, find the workspace, click the three dots next to its name, and select Delete workspace.
Boards
The project containers. Deleting a board removes all groups and items inside. Click the three dots next to the board name in the sidebar, then select Archive or Delete.
Items (tasks)
The individual rows on a board. Select the item, then click Archive or Delete in the popup at the bottom.
Columns
The data fields: Status, Date, Text, and so on. To delete a column, click the three dots next to the column name and select Delete.
⚠️ Warning: Deleting a column removes that data point from every single item on the board, across all groups. There is no selective undo inside monday.com. If a column gets deleted accidentally, your only path back is a backup that pre-dates the deletion.
Files
Documents and images attached to items. These behave differently from other data types and have different recovery limitations, covered below.
What monday.com's native recovery can and cannot do
Monday.com gives you three tools for recovery: Archive, Trash, and the activity log. Each one is useful in a narrow set of circumstances.
What you cannot recover natively
The built-in tools have real gaps. These are the situations that turn into incidents.
Individual comments and files
When you delete a single comment or a file attachment, it does not go to the Trash. It is gone immediately. There is no native recovery path.
Previous versions of data
This is the one that causes the most damage in practice. If a board still exists but the data inside it has changed — wrong values, overwritten fields, a bad import — monday.com has no way to show you what it looked like before. The activity log tells you that something changed and who did it. It does not let you revert.
The most common triggers for this: bulk imports that map to the wrong column, automation rules that fire on unintended records, and AI agents that misinterpret a prompt and update hundreds of items at once. None of these are deletions, so they will not show up in the Trash, and the activity log alone is not enough to undo them at scale.
The 30-day hard cutoff
Monday.com confirms in their own documentation that anything deleted more than 30 days ago is gone permanently. There is no extended window, no archive tier, no way to request a recovery from their side. If your team missed a deletion for a month, the data is unrecoverable without a third-party backup.
AI agents and automations
This is the risk category that has grown fastest. Monday.com Sidekick and similar AI tools can modify data at scale. A misworded prompt, a misconfigured automation, or a rule that fires on the wrong trigger can cascade through hundreds of records in seconds. Because these are updates rather than deletions, the Trash offers no protection. The activity log will show you that changes happened, but rolling back manually at that volume is not realistic.
What ProBackup covers
ProBackup runs daily, automated backups of all data monday.com exposes through its API: workspaces, boards, items, subitems, comments, files (via custom fields and comments), columns, workdocs, groups, activity logs, and views.
A few things cannot be backed up because monday.com does not make them available via API: files uploaded directly to an item (not through a custom field), automations, dashboards, and tags.
Each backup cycle creates a separate snapshot, so you can look up exactly how a board or item appeared on any given day and restore from that point. When you restore a board, ProBackup adds it as a new board in the workspace - it does not overwrite anything that exists already.
Reducing risk before something breaks
Recovery after the fact is always worse than preventing the problem. A few things worth doing now:
- Restrict delete permissions. Not everyone needs the ability to delete boards or items. Tighten this in workspace settings.
- Review the Trash weekly. The 30-day window is short enough that weekly audits make sense for any workspace running business-critical data.
- Treat AI agents carefully. Sidekick and third-party automations that can modify records at scale should be tested on a non-production board before being turned loose on live data.
- Set up a third-party backup. The native tools handle accidents from the past few weeks. They do not handle version rollbacks, bulk update mistakes, or anything past the 30-day cutoff. If monday.com runs anything revenue-sensitive for your company, treat it the way you would any other production database.
Why AI makes external backups more important, not less
The argument for SaaS backups used to be mostly about human error: someone deletes the wrong board, a bad import overwrites good data. That still applies. But the risk profile has shifted.
As monday.com adds more AI capabilities and as teams build more automations on top of it, the number of ways data can change without a human directly involved keeps growing. A single misconfigured agent can touch every item on a board in the time it takes you to get a coffee. If you do not have a versioned backup, the only path forward is reconstructing that data manually.
Monday.com is a good product. But it was designed as a project management tool, not as a database with full recovery capabilities. The further your team pushes it into operational territory, the more the gap between what it offers and what you actually need becomes visible.
Summary
The Archive and Trash features in monday.com are useful for catching recent mistakes. They are not a backup strategy. Before you need them, it is worth knowing what they cover and what they do not.
- Archive old items instead of deleting them.
- Be careful with columns and files — both are harder to recover than items.
- If your team uses monday.com for anything business-critical, especially with automations or AI agents modifying data, add a dedicated backup solution.
Start your free trial of ProBackup: https://app.probackup.io/onboarding
