Don't Get Bogged Down in Formulas | Drawing the Line Between Spreadsheets and Dedicated Tools: When an Amazing Spreadsheet is a Sign of Reaching Its Limit
"This spreadsheet has formulas that are too complex for anyone to touch anymore."
"Only the person who created it can maintain it."
A state where spreadsheet formulas are "too amazing" is not proof of convenience.It is a sign that you are reaching the limit and should move to a tool.When VLOOKUP is intertwined with IMPORTRANGE and multiple IF statements across dozens of lines, and even the creator doesn't know "where to fix it"—that is the time to move on.
However, that doesn't mean you should move everything to a tool. In this article, I will share the criteria for deciding how far to go with spreadsheets and where to transition to tools (databases or specialized services).

Risks of getting bogged down in formulas
Only the creator can maintain it (dependency on specific individuals)
The more complex the formulas become, the harder it is to trace the cause of errors
As data increases, it becomes heavy and performance becomes unstable
No one can touch it because they are "afraid of breaking it," so improvements stop
Formulas are convenient, but they turn into a risk when you "get bogged down" in them. The more a company relies on "people who can make amazing spreadsheets," the greater the damage when those people leave.

What spreadsheets are good for
Temporary calculations and estimates
Management for a small number of people or a small volume of data
Things where the format changes frequently
Things in the "let's try it out" verification stage
In other words, they are suited for tasks that require flexible, on-the-fly adjustments. In this regard, spreadsheets are still the best tool available.

What you should move to a tool
Data used by many people simultaneously
Data with a large volume of entries that requires frequent searching and filtering
Things where you want to standardize input rules
Things you want to manage history and permissions for
These are better handled by databases or dedicated services. Just because you "can somehow reproduce it with functions" doesn't mean you should. Spreadsheets that are forced to replicate such functionality are the most fragile.

Criteria for drawing the line
When in doubt, use the following questions to decide.
Will multiple people be accessing it simultaneously? → If yes, it's suited for a tool
Will the number of entries continue to grow? → If yes, it's suited for a tool
Do you want to standardize input rules? → If yes, it's suited for a tool
Can someone other than the creator maintain it? → If no, it's suited for a tool
If two or more are "yes," it's a sign to consider migrating. Conversely, if all are "no," there's no need to force a migration; keep it as a spreadsheet. Moving to a tool just because it's trendy creates unnecessary migration costs.

How to proceed with migration
Identify the "function-heavy parts" of your current sheet
Determine if it's suited for a tool using the four questions above
Start small by migrating items suited for tools (don't do it all at once)
Return the spreadsheet to its role of "temporary calculations"

A real-life story
A customer management sheet at one company had dozens of intertwined cross-sheet references and conditional branches, causing it to freeze for several seconds every time it was opened. The creator said, "It's fine as long as I'm here," but that in itself is a risk.
Applying the four questions, "multiple people," "increasing entries," and "standardizing rules" were all "yes." It was clearly suited for a database. So, we moved only the customer data to a database and returned the spreadsheet to just "this month's estimates." As a result, performance improved, and people other than the creator could input and search data.Simply drawing the line on "how much to handle with functions" can resolve dependency on specific individuals.

Summary
A spreadsheet with overly complex functions is a sign of reaching its limit
Spreadsheets are suitable for "temporary and flexible tasks"
Tools are better for multiple users, large volumes of data, standardized rules, and history management
Draw the line using four questions
If the answer to all of them is "no," don't force a migration
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✍️ About this note Specializing in back-office DX and business automation, I share ways to transform operations through systems without spending money. Based on my experience, I provide insights on how to determine the right time to "migrate" to tools. Follow me to receive update notifications.
