Filtering

A single-selection filter is employed when the user can pick only one attribute from a category to modify the data results. Under the hood, single selection behaves like a radio button. Ways in which a single selection filter can manifest include:

A multi-selection filter is employed when the user has the option to pick more than one attribute from a category to modify the data results. Under the hood, multi-selections behave like checkboxes. Ways in which a single selection filter can manifest include:

A category is a set of filter items within the same topic. For example, “size” is the category and small, medium, large, and extra large are the filter choices. Multiple filter categories may be applied to the same data set. For example, the user can filter by size as well as color and price range.

Multiple category selection is most commonly manifested in either a vertical list on the left side of the page or within a horizontal drawer at the top of the data set. Multiple categories should never be put within a menu or dropdown.

Advanced search can be used when the user requires to search and filter a list of items by choosing more than one filter from multiple filter categories. This pattern is especially useful when the number of items within each category is dynamic, such as filtering a table by a user or user defined tags.

Advanced search is also commonly used when there is not the requried amount of space on the screen to accommodate a vertical list.

The filtering categories appear as headers within a dropdown space underneath a search field, with the top five items from within each section appearing as defaults within this space, along with the expected number of returns if the user was to select that option.

As the user types into the search field the categories of filters are themselves filtered by the text entered, with the matching text being highlighted.

Entering a search term which exactly matches an item within a drop down enters that filter into the search field as a tag with the appropriate label attached. Alternatively a user can select that item directly from the drop down by clicking on it. If the term entered into the search field doesn’t match any values within the filter categories then that term is entered as a free text search.

A batch filter is employed when all filters are applied together at the end of the selection process. The data set only refreshes once. The trigger is most commonly an “Apply filter” button.

The batch filter works best when the user is making several filtering selections across different categories that may take a longer time to mentally process. Batch filtering is also a good solution for slow data-return speeds. This can prevent the user from having to wait for the data to load after every selection.

An interactive filter returns results after each individual selection is made. The trigger is the individual selection and the filter manipulates the data in real time. This is a good solution for when the user is only selecting from one category or the user is expected to only make one filter selection.

Each filter interaction should contain the following patterns and states:

Filters within each category should start either as all unselected or all selected. When using multiple categories, the start state can vary from category to category. If the user wants only one or a few criteria to be excluded from the results, then all filters should be selected at the start. Vice-versa, if the user wants to see only results related to one particular criteria, then all filters should start as unselected.

If the filter(s) can be hidden in either a drawer, dropdown, or menu, then there should be an indicator visible on the closed filter state that informs the user that filters have been applied. At a minimum, the indicator should include the number of filters applied and have the option to clear filters without re-opening the filter container.

Each category should have a way to clear all applied filters at once without having to interact with each individual item. Clearing filters returns the filters to their original default starting state.

If multiple categories have been applied to the same data set then there should be a way to dismiss all filters across all categories at once.