There's a moment every spreadsheet user knows: the one where you've built something that works, but you're not entirely sure if you've solved a problem or simply proven that you can outsmart a table. That's exactly where this reader landed with their triple nested XLOOKUP. They had data pulled from PDFs into a series of tables, with the same source material arriving in different row and column arrangements. Columns were easy to reference. Rows were not. INDEX MATCH failed them. So they built a formula that dynamically locates a row label, returns that row's values, then uses that as the lookup array for a second XLOOKUP, and finally pulls the corresponding value from a third dynamically referenced row. It works. And they're excited about it. They should be.
But here's the honest take: that formula is a workaround, not a destination. It's clever, and it demonstrates real fluency with how XLOOKUP can bend to your will. But it's also fragile. Every nested lookup adds a point of failure, and the moment your PDF import shifts a column or reorders a row, you're back to debugging a formula that looks like a coded message. The reader asked if they're doing it the hard way. The better question is whether they're solving the right problem. The formula is a symptom of a larger issue: the source data is unstructured, and they're using Excel to impose order after the fact. That's not wrong. But it's worth asking whether the table structure itself could be normalized during import, or whether a single dynamic array formula using something like FILTER or a LET-based approach could reduce the clutter. We've seen similar patterns in other contexts, like how Beyond Similarity Scores: Deduplicating Data with Deterministic Stages tackles messy data by breaking the problem into stages rather than forcing one massive expression to do everything. The same principle applies here: break the lookup into steps, name your ranges, and test each piece independently.
What's most interesting is that the reader isn't asking for permission to stop. They're asking if there's a better way. That's the right instinct. The formula works, but "works" and "efficient" are different standards. The good news is that their approach has a clear upgrade path. Instead of nesting three XLOOKUPs, consider using a single XLOOKUP with a dynamic return array built from a MATCH on the row label. Or, if they're open to a more modern approach, use a combination of INDEX and MATCH with array formulas to return the entire row of interest, then use another MATCH to find the column. That would cut the formula complexity in half. They're also in a position to benefit from structured references and named ranges that make the logic readable to anyone who inherits the sheet. We've seen how tools like AI Made Me 5x Faster. It Also Made Me 5x Worse at My Job. highlight the cost of speed without understanding, and this is the flip side: a formula that's fast to write but slow to maintain is a liability.
The practical takeaway here isn't about XLOOKUP syntax. It's about knowing when a formula has crossed from solution into technical debt. The reader's excitement is valid, and they should feel good about figuring out something that stumped them. But the next step isn't to optimize the formula. It's to question why the data needs this much gymnastics in the first place. If the PDF imports consistently produce different layouts, the real win is standardizing the import process or using Power Query to reshape the data before it ever hits the table. That would turn a triple nested lookup into a simple XLOOKUP with no dynamic row referencing at all. The question to ask is not "Is there a more efficient formula?" but "What am I trying to avoid doing every single time?" And the answer, in this case, is the manual thinking that goes into mapping an unpredictable layout. If they solve for that, they won't need to celebrate the formula. They'll just need to remember why they built it.