Key insights
- Excel myths often lead to overengineering; choose the simplest solution that reliably solves your task.
Stop following one-size-fits-all rules and test what works for your data and workflow.
- Formulas do not need to be clever or ultra-short to be good; prioritize clarity and maintainability.
Clear formulas reduce errors and make files easier for others to update.
- VLOOKUP and other classic lookup functions are not automatically slow for typical datasets; they work well on small to medium tables.
For very large data, consider alternatives, but don’t abandon tried methods without testing.
- Keep data in tabular data layouts and avoid merged cells; merged cells hinder selection, sorting, copying, and formulas.
Unnecessary whole-row formatting can bloat file size and slow processing.
- Avoid legacy .xls files for modern work—they limit rows and columns and can cause compatibility issues.
External workbook references are supported, so linking across files is possible when needed.
- Helper columns are practical, not amateurish, and you don’t always need VBA to automate tasks.
Use in-app AI like Copilot to speed repetitive work, but keep control and understanding of your data.
Keywords
excel myths, excel myths debunked, stop believing excel myths, common excel mistakes, excel tips and tricks, excel misconceptions, excel productivity tips, excel beginner mistakes