User-Centered Design of Hyperlocal Communication Platforms: Insights from the Design and Evaluation of KUBO

Researchers at a Philippine university designed and evaluated KUBO (Kumunidad at Balitang Opisyal), a hyperlocal communication platform that addresses four key barriers plaguing community updates: delayed alerts, algorithm-driven noise, language gaps, and digital divides. Through contextual inquiry and semi-structured interviews, the team identified that residents often miss emergency advisories and community events due to Facebook's algorithm-filtered feeds and slow notification systems.

KUBO's dual-module architecture includes a home module for verified local government unit advisories and curated headlines, plus a community module for resident-powered reports and discussions. In a within-subjects evaluation comparing KUBO to Facebook, the platform achieved significantly faster task completion times (p<0.001), improved information recall on post-task quizzes (p=0.010), and higher user satisfaction ratings for ease of use, overall satisfaction, and perceived effectiveness. These results demonstrate that a dedicated hyperlocal platform can substantially enhance real-time information access, comprehension, and civic engagement in community settings.