A data analyst is building an executive dashboard in Looker that contains multiple visualization tiles displaying sales performance. Business stakeholders require the ability to interactively adjust the date timeframe (such as switching between "Today", "Last 7 Days", and "Last 30 Days") so that all relevant tiles update simultaneously from a single control. Which feature should the analyst configure on the dashboard to meet this requirement?

Enter edit mode on the dashboard, add an interactive dashboard filter on the date field, and select the corresponding tiles under Tiles To Update.: ### What interactive dashboard filters are **Interactive dashboard filters** in Looker are dashboard-level controls that allow viewers to dynamically change the subset of data displayed across one or more dashboard tiles without needing to edit underlying Looks or queries. ### How it meets the requirements - **Dynamic timeframe selection (✓):** An interactive date filter allows end users to select relative time windows such as **Today**, **Last 7 Days**, or **Last 30 Days** directly from a drop-down menu in the dashboard header. - **Multi-tile synchronization (✓):** Through the **Tiles To Update** configuration tab in the filter modal, the analyst can map the date filter field to the corresponding date dimensions across multiple dashboard tiles so they update simultaneously. - **User-friendly data communication (✓):** Providing a top-level interactive filter simplifies user experience, allowing business stakeholders to explore various time horizons without altering the underlying data model. ### Key advantages and capabilities - **Cross-tile filtering:** A single dashboard filter can update multiple tiles built from the same or different Explores by mapping the filter to relevant fields in each tile. - **Default values:** Creators can set a default timeframe (e.g., Last 30 Days) that loads automatically when the dashboard opens. - **Flexible filter types:** Supports relative dates, specific date ranges, strings, numeric comparisons, and custom conditions. - **No code required:** Filters can be created and modified through the visual dashboard editing interface. ### Why this is optimal Configuring an interactive dashboard filter is the standard, native Looker method for providing dynamic filtering across tiles. It avoids data duplication, maintains high performance, and gives stakeholders self-service analytical flexibility.