AI4AFRIKA @ University of Wisconsin-Madison

Context

  • Role & Scope: UX Research Consultant — Focused on guiding the user interface team on research methodologies and planning.
  • Team: Collaborated with a multidisciplinary team of developers, designers, and researchers within the AI4Afrika Research Group, based in Madison, WI.

AI4AFRIKA team aim was to develop a health-focused mobile application specifically designed for African users, enabling interaction in multiple languages—particularly indigenous African languages such as Swahili, Hausa, Oromo, and others. This multilingual approach was intended to bridge communication gaps, promote inclusivity, and ensure that users across diverse linguistic backgrounds could access vital health information in their native tongues. However, the development team needed strategic guidance on how to gather meaningful insights from users in other countries [in Ethiopia] throughout the design and testing phases. My role was to ensure that the research component of the design process was robust and methodologically sound. 

  • Ensure that user research effectively captures the lived experiences and health needs of target users in Africa.
  • Support the design of an app interface that is both functional and culturally appropriate.

Methods Used: Diary Studies

Rationale: Diary Studies were selected to capture detailed, longitudinal insights into users’ daily health behaviors.

Participant Details

  • Participants included prospective health app users from African countries.
  • The participant recruitment strategy focused on ensuring diversity in geography, age, gender, and health needs.

Ethical considerations included ensuring informed consent and respecting participant privacy, especially in relation to health data.

Note: Some of the major findings have been redacted, but the insight  below mirrors the overall findings.

  • Users desired simple, daily-use features such as medication reminders, symptom trackers, and culturally contextual health advice.
  • Diary studies revealed gaps in digital health literacy, suggesting a need for intuitive onboarding and support features.