February 17, 2026 SheetGuard Team 8 min read

Advanced Data Validation Rules for Google Sheets: Beyond Built-in Options

Google Sheets data validation covers the basics. But when you need conditional validation that depends on other columns, you hit a wall. Here is how to go further.

What Google Sheets Data Validation Can Do

Google Sheets includes a built-in data validation feature that is useful for basic data entry control. You can access it through Data > Data validation in the menu bar. Here is what it supports out of the box:

For single-column, independent validation, these tools work well. If you need every entry in Column B to be a number between 1 and 100, or if Column D should only accept dates after today, built-in validation handles it cleanly.

Where Built-in Validation Falls Short

The limitations become apparent when your validation logic involves relationships between columns. Here are the most common scenarios where built-in data validation breaks down:

Conditional Required Fields

You want Column C (Approver) to be required only when Column B (Status) equals "Complete." Built-in validation cannot express "this cell must not be empty IF another cell has a specific value." You can write a custom formula like =IF(B2="Complete", C2<>"", TRUE), but this only shows a warning; it does not prevent the invalid entry or revert it.

Cross-Column Comparisons

You need to ensure that the value in "End Date" is always after "Start Date," or that "Actual Cost" does not exceed "Budget." While custom formulas can technically check this, the validation only applies to the cell being edited. If someone changes the Start Date after the End Date is already set, the End Date cell will not re-validate.

Validation on Edit vs. Validation on Entry

This is a critical distinction. Built-in data validation in Google Sheets validates data at the moment of entry, not retroactively. If Column A's validation depends on Column B, and someone changes Column B after Column A was already filled in, the existing value in Column A is not re-checked. Your data silently becomes inconsistent.

Enforcement Strength

Google Sheets data validation offers two modes: "Show warning" and "Reject input." Even with "Reject input" enabled, it only shows a small error message. It does not revert the edit, does not highlight the problematic row, and does not prevent someone from overriding the validation by pasting data. Bulk paste operations bypass validation entirely.

The Validation Gap: A Feature Comparison

Capability Built-in Validation Custom Formula SheetGuard
Dropdown lists Yes No No
Number / date ranges Yes Yes Yes
Conditional required fields No Partial Yes
Cross-column comparisons No Partial Yes
Automatic revert on violation No No Yes
Bulk paste validation No No Yes
AND / OR rule logic No Partial Yes
No code required Yes No Yes

Custom Formulas: The Middle Ground

Google Sheets custom formula validation deserves a closer look because it is often presented as the solution to advanced validation needs. Here is an example of a custom formula for conditional validation:

// Custom formula in Data Validation for cell C2:
// "Require Approver if Status is Complete"

=IF(B2="Complete", C2<>"", TRUE)

This formula checks whether B2 equals "Complete," and if so, requires C2 to not be empty. It works for the initial entry, but consider these limitations:

Real-World Scenarios That Need Advanced Validation

Scenario 1: Expense Approval Workflow

An expense report sheet where: IF Amount is greater than $500, THEN Manager Approval must not be empty AND Receipt URL must be a valid URL. This requires two conditional checks that depend on a numeric comparison in a different column, something built-in validation simply cannot express.

Scenario 2: Project Timeline Integrity

A project plan where: IF Phase is "Execution," THEN Start Date must not be empty, AND End Date must be after Start Date, AND Assigned To must not be empty. This involves three required fields triggered by a single status value, with a cross-column date comparison mixed in.

Scenario 3: Inventory Reorder Validation

An inventory sheet where: IF Quantity on Hand is less than Reorder Point, THEN Reorder Quantity must not be empty AND Supplier must not be empty. Both the trigger condition and the validation involve cross-column numeric comparisons.

How SheetGuard Fills the Gap

SheetGuard is a Google Sheets add-on designed specifically for the kind of conditional, cross-column validation that built-in tools cannot handle. It uses an IF-THEN rule model that maps directly to how teams think about their data requirements.

SheetGuard multiple conditions with AND/OR logic for advanced validation

Multiple conditions with AND/OR logic — built visually, no formulas needed

How SheetGuard Rules Work

Each rule has two parts: a condition (the IF) and a requirement (the THEN). When an edit causes the condition to become true, SheetGuard checks whether the requirements are met. If they are not, the edit is automatically reverted, and the user sees a clear explanation of what needs to be corrected.

For the expense approval example above, you would create a single rule in SheetGuard:

  1. Open SheetGuard from Extensions > SheetGuard > Open Sidebar.
  2. Create a new rule with the condition: IF Amount is greater than 500.
  3. Add the requirements: THEN Manager Approval must not be empty AND Receipt URL must not be empty.
  4. Save. The rule is now active and enforced on every edit, including bulk pastes.

Unlike custom formula validation, SheetGuard evaluates rules bidirectionally. If someone changes the Amount column from 400 to 600, SheetGuard immediately checks whether Manager Approval and Receipt URL are filled. If they change Manager Approval to empty while Amount is already over 500, that edit is also caught and reverted.

Combining Multiple Conditions

With SheetGuard Pro, you can combine conditions using AND and OR operators. For example: "IF Department = Engineering OR Department = Design, AND Priority = High, THEN Due Date must not be empty." This kind of compound logic would require nested IF formulas in custom validation that are nearly impossible to maintain across hundreds of rows.

Best Practices for Data Validation in Google Sheets

Regardless of which tools you use, here are principles that will keep your shared spreadsheets reliable:

Conditional Validation, Zero Code

Create IF-THEN validation rules that enforce data requirements in real time. SheetGuard handles cross-column comparisons, bulk paste validation, and automatic revert.

Install SheetGuard Free

Getting Started with Advanced Validation

If your current validation setup relies on custom formulas that users ignore, or if you have given up on enforcing data quality in shared sheets, give SheetGuard a try. The free plan includes one rule per sheet with one condition, which is enough to test it on your most critical validation need.

For teams with complex workflows that require multiple rules, AND/OR logic, and cross-column comparisons, the Pro plan at $5.99 per month provides up to 25 rules per sheet with unlimited conditions. Visit the support page if you need help, or email vaibhav@aayutech.in with questions.