This user is trying to do something that sounds simple: move data from one table to another, check for duplicates, and fill in the right column based on which QA slot is empty. But the logic is knotty enough that it has stopped them cold. They have four teams, each with two tables, a source workbook that refreshes daily, and a destination workbook that feeds other queries. The problem is not that the tools are weak. The problem is that the user is trying to hold the entire mapping in their head, and the mapping keeps branching.
The core challenge here is not about Power Query or Excel formulas. It is about how we think about relationships between tables. The source has an Agent's Team Lead column that should map to a sheet name in the destination. That is a solid starting point. But then each sheet has two tables, and the user does not know how to determine which table is which. The answer is that they already have the logic: the table names follow a pattern (T1_In, T1_Ex, etc.), and the team lead value can be used to derive the correct prefix. If the source table includes a column for Team ID or can be enriched with one during the Power Query load, the mapping becomes deterministic. The user does not need to guess. They need to add a step that parses the team identifier from the source data before the transfer begins.
Once that mapping is clear, the duplicate check and the column fill become a straightforward lookup. The destination table has four QA columns. The user wants to find the first empty column for an existing agent, or add a new row if the agent is not present. This is a classic case for a sorted list and a conditional. The logic is: if the agent exists, find the row, then loop through the QA columns left to right, and write to the first empty cell. If the agent does not exist, append a new row and write to QA1. That is a simple nested conditional in any scripting language, and it is also achievable with a well-structured set of Power Query merge and conditional column steps. The user is not stuck because the technology is insufficient. They are stuck because they are trying to solve the problem in one leap rather than breaking it into three clear steps: identify the team, find the agent, then fill the slot.
Our take is this: you do not need a more powerful tool. You need to separate the mapping logic from the data transfer logic. Write down the team-to-table-name mapping as a small reference table. Use that to route each row to the correct destination. Then handle the duplicate check and the column fill as two separate, sequential operations. Once you see the problem as three small puzzles instead of one big one, the code writes itself.