There's a quiet kind of frustration that builds when you know the answer is right there, hiding in plain sight. That's exactly where Aussiediver finds themselves: a CSV full of event IDs, suburbs, and postcodes, all waiting to be wrangled into something useful. The request is simple. The data is right there. And yet, the usual tricks, XLOOKUP, UNIQUE, GROUPBY, keep coming up short. We've all been there, staring at a screen that might as well be showing hieroglyphics because the mental shortcut just won't come.
But here's the thing: the tools aren't the problem. The problem is that we expect spreadsheets to read our minds when they're really just waiting for us to ask the right question. The user is trying to pull unique IDs and match them to their corresponding suburb and postcode. That's not a complex join. That's not a data model that requires a PhD. It's a matter of understanding that the data has a structure, and once you see that structure, the formula almost writes itself. The real insight here is that the solution likely isn't a fancier function, it's a cleaner approach. Remove the duplicates first. Then map. Or use a pivot table that collapses the noise and shows the one-to-one relationship between ID and location. The answer is boring, practical, and exactly what they need.
What this means for you, the person who's also stuck on a "simple" problem, is that the barrier isn't your ability. It's the pressure you put on yourself to get it right in one go. When your brain is on holiday, it's not a failure to step back and rebuild the problem from scratch. Start by asking what you want the end result to look like. In this case, they want a clean list: one ID, one suburb, one postcode. That's it. The path to get there might involve a helper column, a quick sort, or even just manually inspecting a few rows to spot the pattern. There's no shame in brute force when you're stuck. The shame would be letting a temporary mental block turn into a permanent roadblock.
Stop chasing the magic formula and start questioning the shape of your data. The fact that this user is already thinking about joining to latitude and longitude for a GIS report tells us they're on the right track. They're not avoiding the problem, they're just stuck in the weeds. The practical move is to simplify. Strip the dataset to its core columns, remove the duplicate rows that are muddying the water, and then apply your lookup. If that still doesn't work, check for hidden spaces or inconsistent formatting, because that's usually the real culprit. The solution is in the cleanup, not the calculation. And once you see that, the spreadsheet stops being a wall and starts being a tool again.