This is exactly the kind of problem that reveals how quickly a simple spreadsheet can turn into a tangled web of workarounds. The user here has built a weekly schedule with employee names and dropdown menus for job types, and now wants to pull that data into a second table that shows, in a single column, whether a job was assigned on a given day. They are asking for a "1" to appear, and a "2" if the same job appears again. That request is reasonable. The fact that it requires a photo and a forum post to explain, however, tells us something important: traditional spreadsheets are not designed for this kind of relational thinking.
The real challenge here is not the dropdowns or the color-coding. It is the gap between how we want to organize data and how legacy tools force us to store it. When you have one table for weekly assignments and another for counting occurrences, you are essentially trying to build a lightweight database inside a grid of cells. That is a sign that your workflow has outgrown the tool. The user is already thinking in terms of references and lookups, which is the right instinct. But the tool they are using makes them fight for every inch of progress.
What they actually need is a system that understands relationships between tables natively. In an AI-native spreadsheet, you would not need to ask for a "1" or a "2" to appear. You would simply define a reference between the schedule table and the job-type table, and the system would count occurrences automatically. It would also handle the edge case of duplicate job assignments without requiring a manual workaround. Color-coding is a creative stopgap, but it is not a solution. It adds visual noise without addressing the underlying data structure.
The takeaway here is straightforward: if you find yourself posting photos and asking for conditional formatting tricks, it is time to reconsider the tool itself. Your data should not require extra effort to speak to itself. The future of scheduling, tracking, and reporting is not about more complex formulas. It is about tables that understand each other. Stop asking spreadsheets to mimic databases. Ask them to be smarter from the start.