The main screens of the Mood Easy ordering app.

Mood Easy: Redefining the Breakfast Experience for Taiwan's Commuters

Project Type

Independent project, Service design

Team

Individual

My Role

I led user interviews, wireframing, prototyping, and visual design.

Duration:

8 weeks in total (Oct-Dec 2019); redesign for 2 weeks in 2024

Tools

Figma

Mood Easy is a service aimed at simplifying breakfast for office workers in Taiwan. The app offers a reservation system paired with unmanned breakfast shops, enabling busy professionals to enjoy a seamless and convenient breakfast experience.

● Problem statement & its significance

How can we help commuters purchase breakfast quickly and efficiently while promoting healthier eating habits?

A new breakfast purchasing model that addresses the challenges commuters face and improves modern breakfast routines by combining technology and convenience.

With advancements in AI and IoT technologies, unmanned stores are revolutionizing the retail space, providing faster and more efficient shopping experiences. Mood Easy leverages these technologies to offer a frictionless breakfast solution tailored for commuters.

● Target audience

Our target audience includes office workers aged 25-50, who lead fast-paced lives and need quick, healthy, and convenient breakfast solutions.

● User Journey

User Journey Map

Physical & Digital Touchpoints

From pre-ordering on the app to collecting breakfast in-store, the journey combines digital convenience and physical interactions in a seamless process.

The touchpoint diagram for the Mood Easy service, illustrating the various interactions and connections between users and the service at different stages.

Touchpoints Diagram

● Idea Evolution

a. Mood Easy App

Hi there! Please check out the full introduction of the Mood Easy App in the slides by clicking the link HERE!

b. Store Model

Store Model

● Reflection

^● I plan to add clearer prompts and more prominent rewards to encourage frequent recycling.

^● Incorporating peer feedback highlighted the Recycling Page’s impact on promoting sustainability. I plan to enhance this feature with engaging visual cues and gamified rewards to boost user interaction. Additionally, I aim to explore personalized options, such as customized meal choices, to better align with individual user preferences in future iterations.

^● User Testing for Usability: I intend to conduct think-aloud sessions and other user testing methods to gather feedback and assess the app’s usability, ensuring an intuitive and effective user experience.