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OVERVIEW


The everyday question “What are we eating today?” has become a shared struggle. Designing a platform that helps Gen Z feel more intentional and at ease with daily eating through mood awareness and reflection.

YEAR           

TIMELINE

TOOLS








RESPONSIBILITIES
2025

12 WEEKS

FIGMA
ADOBE PHOTOSHOP
ADOBE AFTER EFFECTS
NANO BANANA
LOVART

UX DESIGNER
INTERACTION DESIGNER
USER INTERFACE DESIGNER
BRAND IDENTITY DESIGNER
BRAND STRATEGIST
PRODUCT DESIGNER









PROBLEM 



For Gen Z, choosing what to eat often becomes a mini stressor because attention is already drained and there are too many good enough options.

RESEARCH
Eating has become a routine rather than a moment to enjoy. Studies show that nearly 80% of adults feel too tired to cook after work, and over 50% of Gen Z often eat while multitasking.
















                 WHAT IS PLATEO?
Plateo 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.



KEY FEATURES

Guided Dining Decisions
Breaks down the decision of “what should I eat” into a few lightweight questions, reducing cognitive load for the user. The AI combines mood, budget, and context to generate tailored recommendations and explains why each option is suggested. 

Food Notes
Personal archive of past dining experiences. It automatically records where users ate, how they felt, and what they chose, turning everyday meals into meaningful memories. Over time, this history helps users reflect on patterns and supports more personalized recommendations.



Story
Story functions as a community-driven article space where users contribute written reflections about food and dining. Users can explore dining experiences shared by others in a story and visual feed. 
 




MICROINTERACTIONS PROTOTYPE



PROTOTYPE  INTERACTION















FLOW 01
Decision












FLOW 02
Food notes






FLOW 03
Story



COMPETITIVE ANALYSIS

I looked at both direct and indirect competitors to understand how existing solutions handle dining decisions and where new value could be created.


Summary:

- Yelp and Google Maps provide comprehensive information and real-time data, but still require users to actively compare options and make the final decision themselves.
- OpenTable and Uber Eats are designed for speed and efficiency, supporting reservations and ordering while offering limited support for the decision process itself.
- Pinterest and Instagram are strong at sparking interest and discovery, yet offer little guidance in turning inspiration into an actual dining choice.





USER PERSONA








EMPATHY  MAP



USER JOURNEY


  



MID- FIDELITY WIREFRAME




USER TESTING & SYNTHESIZE

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.




USER FEEDBACK

01Clarify Structure and Flow
Users found parts of the interface unclear and overlapping. They suggested simplifying navigation and creating a more intuitive structure across the app.
02Strengthen Core ExperienceParticipants emphasized making the decision process more effortless, distinctive, and emotionally engaging, focusing on features that truly enhance dining experiences.


03Improve Personalization and RelevanceUsers wanted smarter filtering, more meaningful AI suggestions, and personalized summaries that better align with their preferences and contexts.04Make Food Journey More PlayfulUsers hoped the record and reflection features, such as Food Journey, could become more visual, interactive, and fun to revisit.



SOLUTIONS











BUSINESS MODEL