While billions of people are established internet users, there are still billions of new users who have just come online in recent years and this growth will continue, especially on mobile in non-Western countries. Information seeking is essential to online behavior across the world, yet many prominent information-seeking platforms are heavily influenced by Western design patterns and use cases that originate from desktop. As we anticipate the future of information-seeking designs for new users, we explore opportunities to improve the experience by establishing a framework to evaluate common barriers to information seeking online across cultures.
Qualitative insights were collected from 164 participants to understand information-seeking patterns and barriers for users across three countries: Nigeria, Mexico, and India. Interviews were conducted with participants in their day-to-day environment, including home, work, internet cafes, markets, and university campuses. For every region, the overarching...
Duo Security (formerly Indeed)
This case study explores how we personalized search results by turning ethnographic insights into taxonomic metadata, which in turn allowed us to use quantitative methods to assess business impact. The first part of the case study focuses on the problem we were trying to solve – creating better search results for nurses – and using ethnographic interviews to understand how nurses approached looking for jobs. The second part of the study dives more deeply into how metadata works, and why it was the perfect partner for capturing our ethnographic findings and making them into a scalable and measurable part of the design process. The third part of the study details how we tested and scaled our designs in the live project, and why we believe others might benefit from using a similar approach. Keywords: mental models, taxonomy, business impact.
Article citation: 2020 EPIC Proceedings pp 177–188, ISSN 1559-8918, https://www.epicpeople.org/epic...