Yes, this is doable, and the solution is simpler than you might expect. The user asking this question has a classic data-filtering problem, but they're framing it with the right instinct: they want the tool to do the heavy lifting, not manual copy-paste. That instinct is exactly what modern spreadsheets reward.
The specific ask, pull rows where Column C is not blank, then output those rows to a new worksheet, is a textbook use case for a FILTER function. In most AI-native or advanced spreadsheet tools, the formula would look something like `=FILTER(A:C, C:C<>"")`. That single line scans the entire class column, keeps only the rows with data, and spills the result into a clean list. No dragging, no deleting blanks, no risk of missing a row. The user's hesitation about whether "if/then" logic applies is understandable; conditional statements feel like programming, but modern spreadsheet functions have evolved to handle this logic in plain terms.
What this really means is that the barrier between "I want a separate list" and "I have that list" is nearly zero. The user doesn't need to learn nested IF statements or write a macro. They just need to know that the function exists and that it works across sheets. For anyone managing student rosters, class enrollments, or any dataset with sparse columns, this isn't a nice-to-have, it's a daily time-saver. The old workflow was: filter manually, copy, paste, check for errors. The new workflow is: write one formula, get the result, move on.
The practical takeaway here is to stop thinking of spreadsheets as static grids and start treating them as query engines. If you can describe the condition, "rows where this column has a value", you can have the output automatically. The user's next step should be to open their tool's help documentation for FILTER or QUERY functions, test it on a small sample, and then apply it to the full list. That's the entire process. No macros, no VBA, no frustration. Just a smarter way to build lists from data you already own.