Lois Kim

This project focuses on enhancing the ALOUD Media Archives by introducing an intuitive tagging system that organizes content into clear categories and subcategories. By improving the search and filtering experience, the solution helps users explore the archive with ease while providing the internal team with a scalable organizational framework.

The LFLA ALOUD Archives lacked an organized structure, making it difficult for users to find specific speakers or topics. The limited filters left users frustrated, and featured content lacked clear context.

The lack of categorization tools, such as tags and filters, made it difficult for users to efficiently find specific content within the ALOUD Archives. Users rely on clear, intuitive organization to navigate large amounts of information, and without these tools, they faced significant barriers in engaging with the content.

To address these challenges, we introduced a tagging system to categorize content by themes, speakers, and media types, paired with advanced filtering options. This approach simplifies content discovery, making it easier for users to navigate the archive and find relevant materials based on their interests.