CARD SORTING FOR REMOTE RESEARCH

IDENTIFYING USEFUL DATA AND NEW LEARNINGS

Authors

DOI:

https://doi.org/10.12957/arcosdesign.2025.82958

Keywords:

UX, Card sorting, usability, information architecture

Abstract

This paper presents proceedings and structure to conduct card sorting as part of research strategies, based on studies from Padovani, Tullis & Wood, Maurer & Warfel and Preece. The research  proposes how to adapt card sorting appropriately to remote research working scenarios of the post-pandemic new century. This analytical study is based on two different information architecture structure research projects – an online learning search engine to help people find courses within enormous possibilities of learning subjects, and a co-living system, where people with similar interests gather and share living for communal learning experiences. Although the analysis is based on 2 real projects, this paper focuses mainly on card sorting procedures itself, without sharing too much information about the projects. The 2 projects helped to compare processes and results of representative user profiles and non-representative profiles to better understand the pain points, the advantages and disadvantages and the triggers to identify misleading information when conducting card sorting.

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References

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Published

2024-12-17

How to Cite

RENZI, Adriano. CARD SORTING FOR REMOTE RESEARCH: IDENTIFYING USEFUL DATA AND NEW LEARNINGS. Arcos Design, Rio de Janeiro, v. 18, n. 1, p. 155–177, 2024. DOI: 10.12957/arcosdesign.2025.82958. Disponível em: https://www.e-publicacoes.uerj.br/arcosdesign/article/view/82958. Acesso em: 15 jun. 2025.

Issue

Section

Artigos Completos em Fluxo Contínuo