The user who posted this question is stuck on a problem that looks complex but is actually a sign that their tool is working against them. They need to calculate volume-weighted averages across incomplete datasets, and the hang-up is that values low in the rows need to apply to an entire callout group. The formula they want to drag down is right there in their head, they just can't make the spreadsheet execute it cleanly. That's not a thinking problem. That's a tool limitation.
The real issue isn't the order of the data. It's that traditional spreadsheets force you to manage that order manually. When you have to copy a formula and hope it aligns with grouped callouts that don't repeat their labels, you're doing work the software should handle. The user is right to feel like they're overthinking it. They are. But the overthinking comes from fighting a grid that wasn't designed for this kind of logic. A volume-weighted average over incomplete groups is a straightforward calculation, if the tool can recognize groups. Most can't, unless you write nested conditions or helper columns that double your workload.
What this means for you is simple: if you've ever felt that sinking feeling when a formula works for one row but breaks when dragged down, you've hit the same wall. The solution isn't a better formula. It's a smarter environment. AI-native spreadsheets can infer group boundaries from your data structure, apply the weighting logic across the whole set, and let you drag that formula without worrying about row order. The user's screenshot shows exactly the kind of repetitive, error-prone pattern that should be automated. Their solution is out there, it just doesn't look like a traditional formula anymore.
Stop treating the spreadsheet like a calculator you have to hand-hold. If your data has structure, your tool should see it. The user's question is a perfect example of a problem that disappears when you let the tool do the grouping. The fix is to stop dragging formulas and start asking the spreadsheet to understand your data's logic. That's the future of this work, and it's available now.