This user is asking a straightforward question: how to compare three cells against two, returning true or false. But the real story here is simpler and more important than the formula itself. The problem isn't that the logic is too complex, it's that traditional spreadsheets require you to think like a programmer instead of thinking like a person.
Let's look at what's happening. The user has data in Sheet 1 and Sheet 2. They want to know if cell A3 and B2 from Sheet 1 match cell A2 in Sheet 2, and if cell B3 from Sheet 1 matches cell A3 in Sheet 2. Their current formula works for two cells, but extending it to three requires careful concatenation and an understanding of how Excel or Google Sheets evaluates multiple conditions. The answer is to adjust the formula to `=IF(AND(A3=Sheet2!A2, B2=Sheet2!A2, B3=Sheet2!A3), TRUE, FALSE)`. That gets the job done. But notice what this demands: the user must know to use `AND()`, must place the parentheses correctly, must reference the right cells, and must test it manually. Every step is a potential point of friction.
This is exactly where AI-native tools can change the experience. Instead of writing a formula, the user should be able to say: "Check if these three cells match those two cells across sheets." The tool should understand the intent, resolve the logic, and return the result. The spreadsheet should adapt to the user, not the other way around. The question being asked here is not a sign of user incompetence, it's a sign that the tool has not evolved to meet their needs. The user is doing the heavy lifting that the software should be doing.
Our take is clear: this is a solvable problem, and it should already be solved. The user's workflow is slowed by the very tool meant to accelerate it. When you have to manually craft a formula to compare a handful of cells across two sheets, you are not being productive, you are being patient with legacy design. The future of data management is not about writing more precise formulas; it is about expressing what you want and letting the system handle the mechanics. That is the shift that matters. And it is one we are ready to deliver.