The user's problem reads like a classic case of the tool dictating the workflow rather than the other way around. They want a simple answer: how many meetings did Coopers attend? Instead, they're wrestling with `SUMPRODUCT` and nested `SEARCH` functions to count columns, not cells. This is the moment where a spreadsheet stops being helpful and starts being a puzzle. Our opinion is plain: this should not be difficult. The fact that it is, for a user on Microsoft 365, the latest version, tells us that traditional spreadsheets are reaching their design limits for everyday data tasks.
What the user has is a attendance matrix: rows are companies, columns are meetings, and each cell records whether a delegate was present. The `COUNTIF` approach works when a company has only one row, as with Googie. But Coopers has multiple delegates across multiple rows, and the user needs to know how many distinct meetings had at least one Coopers delegate present. That is a fundamentally different question, one about presence across columns, not across cells. The formula they landed on counts every cell with "present" for Coopers, which overcounts when a meeting has two Coopers delegates. The real ask is a column-level distinct count, which requires either a helper column or a more exotic array formula. Neither is intuitive, and both require the user to think like a database designer instead of a meeting coordinator.
This is where an AI-native approach would change the conversation. Instead of asking the user to translate their question into spreadsheet logic, the tool should understand the question directly: "How many meetings did Coopers attend?" The answer is six, based on the example. The user should not need to manually distinguish between counting cells and counting columns. They should not need to know that `COUNTIF` works for one delegate but fails for multiple. The tool should infer the structure of the data and the intent behind the query. That is the promise of AI in spreadsheets: not just faster calculations, but a shift from "how do I write the formula" to "what do I want to know."
The practical takeaway for anyone reading this is simple: if you find yourself writing a formula that feels like a workaround, it probably is. The user's current solution might technically work, but it is fragile and hard to audit. A better approach for now would be to restructure the data into a flat table with one row per delegate per meeting, then use a pivot table or `COUNTIFS` on distinct meeting IDs. That is still a workaround, but it is a cleaner one. The real solution, however, is to demand more from your tools. When your software makes you contort your question to fit its logic, it is time to explore alternatives that meet you where you are, not where the formula bar expects you to be.