OVERVIEW
The everyday question “What are we eating today?” has become a shared struggle. This platform reimagines that decision as a more emotional, intuitive experience rather than a routine task.
80% of adults feel too tired to cook after work, and > 50% of Gen Z often eat while multitasking.
How might we make eating feel comforting and joyful again for people who are too busy or tired to enjoy their meals?
Pomi is an AI-powered dining platform that helps people choose where to eat based on how they feel. It simplifies decision-making through personalized restaurant suggestions, turning everyday dining into a thoughtful experience.
Smart Meal Flow
Guides users step by step to choose the most comfortable way to eat based on their current situation.
Food Journey
Allows users to log meals with location, mood, and notes, creating a personal memory on map so users can revisit for comfort and reflection.
Dietary Preferences
Set personal dining preferences in advance so users receive restaurant suggestions that match their tastes, restrictions, and moods effortlessly.
I looked at both direct and indirect competitors to understand how existing solutions handle dining decisions and where new value could be created
To validate the concept and understand how users perceive its value, I conducted a concept testing session focusing on the overall idea, core features, and emotional experience of the app.
Users found parts of the interface unclear and overlapping. They suggested simplifying navigation and creating a more intuitive structure across the app.
Make Food Journey More PlayfulUsers hoped the record and reflection features, such as Food Journey, could become more visual, interactive, and fun to revisit.