Information Architecture
Filtering
Plain English
Cutting down results to only what matters.
Definition
Filtering is the glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term of narrowing down a set of results by applying specific criteria such as attributes, categories, or ranges.
In practice
Used in product listings and glossarySearchSearch is the functionality that allows users to find content or information by entering queries. It relies on indexing, metadata, and relevance algorithms to return useful results.Open glossary term results to help users quickly reduce large glossaryDatasetA dataset is a structured collection of data used for analysis, training models, or processing.Open glossary term to relevant options.
In context
The failure mode is the dead end: a combination of filters that returns nothing and offers no way back except starting again.
The reality
Too many filters overwhelm users, while poorly designed filters create dead ends or irrelevant results.
Compared with
Filtering vs Sorting
Filtering removes results that do not qualify. Sorting reorders the ones that remain. Users often reach for sorting when they need filtering, and offering only one of the two makes large result sets unusable.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is filtering in UX?
Filtering allows users to refine results by applying specific criteria.
Why is filtering important?
It helps users quickly find relevant options in large sets of glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term.
What makes good filtering?
Clear options, fast updates, and the ability to easily apply or remove filters.
What are common filtering mistakes?
Too many options, unclear labels, or filters that produce no results.
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