Gen Y and Gen Z in big cities of Vietnam don't have enough time for cooking because they live a busy life with too much pressure.
Experience with current food delivery apps in Vietnam makes it difficult for users to make decisions. Because the UI is carrying too many functions that make users distracted.
We conduct a survey with 20 participants and interview with 10 candidates
After research, we come up with 3 user personas
Designing an app with function of automatically remembering and learning user's preferences and habits to suggest restaurants close to their needs.
Developing an AI assistant with capable of supporting problems related to the meal such as: prices, places to eat, menu planning, dietary advice, ...
We use card sorting method to build the initial sitemap. Then, we conduct a tree testing with tool optimalworkshop.com The result help us improve the sitemap.
After finishing the first prototype, we designed a usability test on Maze to track how users interact with the product. The results are always far from my expectations when designing the product, which helps bring new perspectives close to reality.
The showcased result has undergone testing and refinement until it achieved a balance between the product idea and user needs.
