Master your diet, share insights, easily record through OCR, and gain a deeper understanding of every meal!
I designed an app that records and analyzes users’ food delivery information, enabling them to better understand their dietary preferences and habits, thus allowing for faster and more effective meal choices.
The Market Intelligence & Consulting Institute (MIC) of the Institute for Information Industry released the ‘Food Delivery Survey.’ The survey shows that in 2023, 71% of netizens used food delivery services
Based on actual data.
Overview
Background
From public data, it was found that nearly half of the population frequently uses food delivery services. However, in-depth survey results reveal that many people feel uncertain about the information regarding delivered food and face difficulties when making choices. Therefore, we developed this app with the aim of helping users better understand their eating habits and providing more transparent information about food delivery, making each meal choice more convenient and reassuring.
Problem
- Most users often struggle with choosing what to order when using food delivery services, feeling uncertain about what they should pick.
- Users lack a clear understanding of the portion sizes and reviews of the food they order, which causes them to feel uneasy before placing an order.
Goals
- The app will record users’ food delivery order history, enabling them to gain a more comprehensive understanding of their dietary habits and preferences.
- Allow users to share their genuine experiences and reviews of food delivery services, helping others make more informed meal choices.
| Timeline | Team | Responsibilities |
|---|---|---|
| 3 Weeks | Independent Production | UX/UI, UX Researcher |
Research Process
Research
After collecting data, a survey was conducted, and a total of 107 questionnaires were gathered, with 2 of them being invalid. Based on the valid data, I created two personas and developed an affinity diagram to gain a deeper understanding of the survey feedback.
Through the analysis of the affinity diagram, we found that users often feel confused due to the overwhelming number of options and lack of sufficient information about the products. They need clearer information to assist in making choices and also wish to use this information to gain a better understanding of their dietary habits.
In the initial research phase, we also conducted a comparative analysis of existing products on the market.
Definition
How Might We…
● How can we design an easy-to-use interface that allows users to record their food delivery orders and provide meaningful insights to help them understand their eating patterns and preferences?
● How can we leverage personalized recommendations to help users become more familiar with the food options on delivery platforms, thereby improving their decision-making speed and satisfaction?
— HMW（How Might We）
As a result…
As a cost-conscious consumer, I need an app that can help me record detailed information about each food delivery, so I can track and analyze my eating habits. This way, I can make quicker and more suitable meal choices based on my past experiences.
— User story
Let’s make some hypotheses！
We believe that by providing the ability to record food delivery information, we can help users understand their dietary habits, thereby reducing the difficulty in choosing meals.
Let’s formulate a hypothesis！
If the ‘Records’ app can provide a simple and intuitive interface to automatically record and analyze users’ food delivery information, users will be able to better understand their dietary preferences and habits, leading to faster and more effective meal choices.
Functional Map
Utilize this method to gain a clearer understanding of the product’s functional architecture.
User Flow
規劃完整的用戶流程，並檢查以確保操作過程是否過於複雜
Design Process
Wireframe & Low-Fidelity Prototype
High-Fidelity Prototype
Food Insights: Unveil the Secrets of Your Table.
Share the Flavor, Uncover the Secrets of Food Delivery
OCR Tracking, Simplify Your Dietary Monitoring
Design System
Learning and Reflection
During the production of this project, more specific criteria should have been set when distributing the survey to improve the accuracy of the results and speed up the analysis process. Additionally, in the design phase, comparisons and adjustments should be made between different versions to enhance the diversity and flexibility of the overall design.
Gwen Liu Design Portfolio 