Healthy eating has become mainstream because most people are gradually raising their health awareness. However, lacking access to the information becomes a big issue for those who often dine out making it hard to maintain a balanced diet to stay healthy. Especially for college students who spend most of their time on campus.
We adopted user interviews, survey validation, cognitive walkthrough, expert advisory, prototyping, wireframing, usability testing and created a high-fidelity prototype, and did an overall iteration..
We did competitive analysis research on health-related products and looked into applications related to fitness, food suggestions, and diet management respectively. We put the efficiency of searching meals on the x-axis and whether there’s dieting guidance on the y-axis and created a four-quadrant diagram to validate market positioning. The four-quadrant diagram is as follows:
Then, we figured out there was an under-development region, in which user needs were not fulfilled and tried to work on the empty region and planned to provide an efficient meal exploring app with customized diet guidance.
We adopted Octalysis elaborated in Gamification Framework to our design. The theory states that different psychological needs of users can be satisfied through gamification design and mechanism. After being motivated by these different core drives, users will be more likely to take certain actions that the application expects them to.
1. Adopt browsing feature with intuitive gestures
2. Progress bar of suggested calorie and nutrient requirements intake
3. Support diary reporting and document tracking
4. Provide visualized weekly review and dieting guidance
1. FOODing would guide users to fill out the information needed for calculating the calorie and nutrient requirements.
2. Users can select conditions for exploring healthy meals like distance, price, and preference; and balanced meal options from different restaurants will be provided accordingly.
3. After users decide on what to eat, the system would automatically send notifications to make sure if one actually has the meal and import nutrition data to the diary.
4. Finally, FOODing releases a report on a weekly basis to evaluate the effectiveness of their diet.
We would like to introduce the function of AI identifying the meals. Through scanning or uploading photos added to the database, hoping that we can provide real-time recording of meals and more flexibility.