When selecting time filter attributes, choose only those you actually need for filtering reports in the tab. Each dataset has multiple time attributes, and these are listed in the time filter menu. Normally, you'll need one to three time attributes per tab. For example, the Tickets tab of the default Support dashboard uses two attributes for time filtering: Ticket created and Ticket solved. This focused approach helps keep your dashboard organized and relevant.
To simplify the dashboard filtering process, it's best to use reports from fewer datasets. Typically, one or two datasets will provide enough data for your needs. For instance, the most common prebuilt dashboard tabs are based on a single dataset….
To link data filters across multiple datasets, you need to connect data filter attributes to their equivalent attributes from other datasets. For example, in the Satisfaction tab of the default Support dashboard, reports from the Tickets and…
Excluding filters from reports can be useful for several reasons: if you're using more than one attribute in the time filter, if you don't want some reports to be affected by a specific filter, or if a dashboard filter might override results…
When using time filters, it's better to select a specific time limit rather than the All history value. Selecting All history means no time frame is selected, so it doesn't filter any report on the dashboard. This can lead to report-level filters…
To save default filter values, use bookmarks. Values selected from a dashboard filter aren't automatically saved, so each time the dashboard is accessed or reloaded, the filter selections reset. Setting a default bookmark for each dashboard tab is…
Yes, you can use filters across multiple tabs by adding the same filter to each tab you want it to affect. This allows data filters, time filters, and live data filters to work across multiple dashboard tabs, ensuring a cohesive filtering…