The user who posted this is asking a question that thousands of spreadsheet users face every day: how to take a clean, normalized table and collapse it into a single, readable cell per group. They have the data, Door, Item, Price, and they want a view that says, "For Door1, the items are Item1 and Item2." That transformation is trivial in Power Query, but the fact that they cannot see a formula-based path reveals a deeper truth about the limits of traditional spreadsheets. The formula bar was never built for this kind of structural reshaping. You can bend it with TEXTJOIN and array logic, but the moment you add a new row or change a price, the whole thing gets brittle. The real solution is not a better formula. It is a better tool.
This is where AI-native spreadsheets change the game. Instead of asking you to write a nested IF or a convoluted INDEX-MATCH, a modern tool should let you say, "Group by Door, then list each Item in a new line." That is a natural language instruction, not a programming puzzle. The user already knows what they want the output to look like, they drew it in Reddit markup. The gap is not in their understanding of the problem; it is in the tool's ability to interpret that intent. AI can close that gap by reading the table, understanding the grouping logic, and producing the result without forcing the user to become a Power Query specialist. The practical takeaway is this: if you are spending more time figuring out how to reshape your data than analyzing it, you are using the wrong interface.
The user also mentions the price column, which they drop in the output. That is a deliberate choice, they want a summary, not a detailed ledger. But a smarter system could preserve the option to toggle between views. You could keep the price data hidden but accessible, so if someone asks, "What is the total cost for Door2?", the answer is already calculated in the background. This is not about adding complexity. It is about building a foundation that anticipates the next question. The user's post is a plea for a tool that thinks ahead, not one that forces them to rebuild their data every time they need a different perspective.
We think this is the right problem to solve. Not because Power Query is bad, it is powerful and precise for those who master it, but because most users do not want to master it. They want to get work done. The path forward is to make data transformation as intuitive as typing a sentence. If you are the person who posted this, you are not asking for a workaround. You are asking for a better way. And that better way already exists. It just requires a tool that treats your data as a living, conversational partner rather than a static grid.