If the application is running too slowly, what should the user do?

Using lower level members in the allocation rules can help improve performance in a scenario where the application is running slowly. Lower level members typically represent a more granular level of detail, which might lead to more efficient data processing in certain contexts. In this situation, focusing on lower-level members allows for more targeted calculations and could help reduce the complexity of the allocations being processed.

By utilizing allocations that involve lower-level members, a user may better manage how data is allocated across the dimensions. This can streamline the calculations and potentially enhance the speed of the application, especially if previously used higher-level members were causing delays due to the increased volume of data or complexity they might introduce.

Higher level members tend to aggregate data at a broader scale, which can sometimes lead to slower performance because of the larger sets of data needing to be processed in calculations. Therefore, focusing on detailed, lower-level members can be a strategic move to optimize application performance.