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Amazon QuickSight Introduces New Hierarchy Filter Feature

Amazon QuickSight has announced the rollout of a new hierarchy filter feature designed to simplify dashboard drill-downs and reduce interface clutter for users.

Amazon QuickSight Introduces New Hierarchy Filter Feature

Streamlining Dashboard Navigation

Amazon QuickSight has announced the release of a new hierarchy filter feature designed to improve how users interact with complex data dashboards. As a fully managed, cloud-native business intelligence capability, Amazon QuickSight allows organizations to build and publish interactive dashboards that can be accessed from any device or embedded into external applications, portals, and websites. Further details are available from AWS Machine Learning Blog in the original source material.

When building dashboards, authors typically add filters to let readers narrow down data for analysis. However, managing numerous independent filters can quickly clutter the user interface and demand multiple steps to apply changes. To address this challenge, dashboard developers can now utilize the newly introduced hierarchy filter option.

Amazon Quick Sight dashboard with six separate filter controls across the top: Region, Subregion, Country, City, Segment, and Product
Image related to the report from AWS Machine Learning Blog · Source: AWS Machine Learning Blog

Key Benefits of the Hierarchy Filter

The newly released hierarchy filter provides several structural advantages for both dashboard authors and readers. By consolidating multiple dimensions into a single control, the feature significantly reduces visual clutter on the screen. Instead of displaying extensive lists upfront—such as hundreds of cities—readers are presented with a concise top-level list, such as regions, keeping the interface clean at every stage.

Additionally, the control establishes a guided exploration path. Readers drill down logically, such as moving from regions to sub-regions, countries, and finally cities. Because each selection dynamically scopes the available choices at subsequent levels, users reach their target data much faster without needing prior knowledge of geographical or categorical relationships.

The feature also accommodates flexible mix-and-match selections. Readers can combine various levels within a single control, allowing them to select an entire country alongside an individual city. Furthermore, the system scales smoothly to support deep hierarchies containing up to five levels without overwhelming the toolbar.

Diagram of a hierarchy filter cascade across Region, Sub-region, Country, and City levels, where a selection at each level scopes the choices at the next
Image related to the report from AWS Machine Learning Blog · Source: AWS Machine Learning Blog

Configuring the Hierarchy Filter

Authors seeking to implement the feature can configure it directly inside the authoring environment. Within the Filters pane, authors select a field to filter and change the filter type to a hierarchy filter under the advanced options. This configuration allows up to five related fields—such as region, sub-region, country, and city, or product categories and product types—to be grouped into a single parent-child tree.

Once added, authors arrange the fields from broadest to most detailed using the move up and move down controls. Setting the scope to cross-sheet applications ensures that the single control governs the entire dashboard. Older standalone filters can then be removed and replaced by the unified hierarchy element.

Amazon Quick Sight dataset view showing retail sales rows with Order_ID, Order_Date, Region, Country, City, Product_Category, Sales, and Quantity columns
Image related to the report from AWS Machine Learning Blog · Source: AWS Machine Learning Blog

The Reader Experience

From the perspective of the end-user, the hierarchy filter manifests as a streamlined menu control. When collapsed, it displays only the top-level categories equipped with expandable arrows. Expanding a specific node reveals the nested children below it, establishing clear contextual relationships.

When users select values at lower tiers of the hierarchy, the system automatically marks the parent chain accordingly. This automated selection behavior ensures that readers maintain full visibility of their scoping choices as they navigate through multi-layered business intelligence reports.

Amazon Quick Sight dashboard titled Global Sales Overview with KPI cards, a filled map of sales by country, and a treemap of sales by regional hierarchy
Image related to the report from AWS Machine Learning Blog · Source: AWS Machine Learning Blog

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