Abstract
Traditional Q-methodology captures subjective viewpoints in a single round, assuming immediate comprehension and stable opinions. Such assumptions are increasingly problematic in today’s dynamic digital environments. To address these limitations, we introduce Claros, a hybrid Q-Delphi methodology that integrates iterative, anonymized feedback with structured Q-sorts. Claros enables participants to reflect upon, revise, and stabilize their judgments across multiple rounds through interactive visualizations and test-sorting activities. We outline the methodological phases of Claros and propose a study to assess its utility.
Recommended Citation
Xie, Yancong; Larson, Keri M.; Watson, Richard; and Desouza, Kevin C., "Claros: Combining Q-Methodology and Delphi to Capture
Opinion Diversity" (2025). ACIS 2025 Proceedings. 41.
https://aisel.aisnet.org/acis2025/41