This user's formula isn't broken; their thinking is. The real problem here isn't a syntax error, it's a workflow assumption that spreadsheets should mirror how people naturally track progress. This user started counting from cell 4 because that's where the data lives, but their job numbers begin at 1. That gap of three missing rows isn't a technical glitch; it's a signal that traditional spreadsheets force users to adapt to the tool, rather than the tool adapting to them.
When you're managing 115 jobs, a miscount of three might seem small. But small errors compound. A false completion ratio of 112 out of 115 looks like 97 percent, when the real figure is something else entirely. Worse, the user tried swapping column A for column C, hoping a different reference point would fix the logic. That returned zero completions out of 115, a dead end that wastes time and trust. This is the hidden cost of manual spreadsheet work: every adjustment you make to fix one problem risks breaking another part of the system.
What this user needs is a spreadsheet that understands context, that "Job 1" isn't a cell address, it's a meaningful identifier. An AI-native approach would let you define your counting logic in plain terms: "Count completed jobs starting from Job 1, not from the first data row." The tool would handle the offset automatically, because it understands that your data starts at row 4 but your job numbering starts at row 1. No formula gymnastics, no zero-out-of-115 surprises.
The takeaway is straightforward: stop wrangling cell references and start describing what you actually need. If your spreadsheet can't tell the difference between a data row and a job number, it's not your formula that needs fixing, it's the tool you're using. Explore solutions that let you work with your data on your terms, not on the grid's.