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validation

How to Create Error Alert

Excel 2016Excel 2019Excel 365

Learn how to create error alerts in Excel to validate data entry and prevent incorrect inputs. Error alerts display custom messages when users enter invalid data, ensuring data integrity across your spreadsheet. This feature is essential for protecting worksheets from human error and maintaining consistent, reliable datasets.

Why This Matters

Error alerts prevent data corruption and maintain database quality by restricting invalid entries before they occur. This skill is critical for creating professional, user-friendly spreadsheets in business environments.

Prerequisites

  • Basic understanding of Excel cell selection and ranges
  • Familiarity with the Data tab and validation concepts

Step-by-Step Instructions

1

Select the target cells

Click and drag to select the cell range where you want the error alert to apply, or click a single cell for individual validation.

2

Open Data Validation dialog

Navigate to Data > Data Tools > Data Validation (or Validity in some versions).

3

Configure validation criteria

In the Settings tab, choose a validation type (Whole Number, Decimal, List, Date, Time, Text Length, or Custom) and set your criteria parameters.

4

Create the error message

Click the Error Alert tab, select 'Error' as the style, then enter a Title and Error message explaining what went wrong.

5

Apply and test the alert

Click OK to apply the validation, then test by entering invalid data to confirm the alert appears correctly.

Alternative Methods

Use Warning alerts instead of Errors

Select 'Warning' style in the Error Alert tab to allow users to proceed with invalid entries after confirmation, rather than blocking them completely.

Apply validation with Information alerts

Choose 'Information' style to display messages without preventing data entry, useful for guidance rather than strict enforcement.

Tips & Tricks

  • Write clear, concise error messages that help users understand exactly what went wrong and how to fix it.
  • Test your validation rules with edge cases (boundary values, empty cells) before deploying to other users.
  • Use dropdown lists combined with error alerts for consistency and to minimize invalid entries.
  • Apply the same validation rules to all related columns to maintain uniformity across your dataset.

Pro Tips

  • Combine validation with conditional formatting to visually highlight cells that may contain problematic data.
  • Use formulas in custom validation rules to create complex, dynamic criteria based on other cell values.
  • Set up input messages (in the Input Message tab) alongside error alerts to guide users before they make mistakes.

Troubleshooting

Error alert doesn't appear when invalid data is entered

Check that the cell is within the selected range and that the validation rule was properly saved by opening Data Validation again.

Users can bypass the error alert by clicking Retry

Change the Error Alert style from 'Warning' to 'Error' in the Error Alert tab to prevent users from overriding the validation.

Validation rule works in one column but not another

Verify the rule was applied to the correct cell range and check for merged cells or hidden columns that might affect selection.

Related Excel Formulas

Frequently Asked Questions

Can I create an error alert without selecting a specific range?
No, you must select cells before applying validation. If you want to apply validation to an entire column, click the column header to select the whole column.
What happens to existing invalid data when I apply an error alert?
Error alerts only prevent new invalid entries; existing invalid data remains untouched. You must manually correct or remove existing invalid entries.
Can I apply different error messages to different columns?
Yes, apply validation separately to each column or range with its own customized error message and criteria.
Is it possible to use a formula in a custom error validation?
Yes, select 'Custom' as the validation type and enter a formula that returns TRUE for valid data and FALSE for invalid data.

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