While popular travel destinations and well-known landscapes are relatively easy to find, it is difficult to search and locate off-the-beaten-path scenic views.
Users utilize search engines (e.g. Google) to search for locations, but the experience is riddled with friction and frustration. The gaps within the experience reveal major improvements for building our service. Users begin searches with enthusiasm and end frustrated with mediocre results.
user journey map
solution brief
I conducted 6 interviews with users that have researched and visited at least 1 new scenic location within 12 months, revealing 4 major components of improvements.
5/6 users found that photos were difficult to find and often failed to accurately depict a location.
I analyzing the current landscape that revealed gaps within current services. However, each existing service possessed unique strengths and must-have features to adopt.
competitive analysis
feature matrix
Through interviews and research, a user persona was developed to encapsulate a collective experience, encompassing the frustrations and motivations of all users.
user persona
Through interviews and competitive analysis, I prioritized the must-have features of a functioning location service and the essential task flow - to search and arrive at a newly discovered location.
priority matrix
task flow
wireframes
User testing conducted with 5 users on mid-fidelity prototypes with 100% task flow completion rate.
Features through prototypes are shown to solve the major user pain points.
Tips and tricks highlighted under Reviews for easy access
Visual navigation allow users to access directions unavailable through conventional GPS
takeaways
SEENIC was a direct response to a travel challenge I faced. Given the brief 4-week timeline, I focused on establishing essential functionalities to kickstart the concept.
With additional time, my aim is to enhance the Discovery UI for a visually inspiring interface, delve into advanced AR services, and develop more offline navigational tools for improved directional support. Future plans involve crafting enhanced visual reviews through a community-driven platform.
© 2024 Pamela Hsiung