Diet-conscious individuals who are passionate about food NEED A WAY TO quickly find recipes that meet their nutritional goals BECAUSE discovering new recipes and ensuring they align with their dietary requirements can be a time-consuming task.
As someone who is both a bodybuilder and a foodie, I am conscious of my nutritional goals, but I also want every meal to be delicious and varied. As a result, it can be time-consuming for me to find different recipes that meet both criteria.
The goal of this app is to reduce the hassle involved in recipe finding for diet-conscious individuals, such as those on cutting or bulking diets, or patients following dietary recommendations. Currently, such individuals have two options for meal preparation. They can either rely on their experience to come up with a recipe that will possibly meet their nutritional goals, or search for recipes on Google or social media. However, the first option requires extensive experience and often results in limited meal choices. The second option cannot guarantee meeting nutritional goals and often requires a significant time commitment.
User Pain Points
I did 2 interviews of my friends who feel:
- Time consuming when researching on recipes that meet their nutritional goals
- Resulted recipes include ingredients they don’t want or hard to get
- Although many fitness apps or apps that focus on strict dietary plans recommend recipes, but users still can’t easily find recipes they like
Both of my interviewees are unhappy with current solutions as they are time consuming and not accurate
Landing on the Solution
Based on our target users’ pain points, we knew we wanted to work on features based on the following scenarios:
- Scenario #1: nutrition goals can be easily input
- Common nutrition metrics, such as the amount of protein, fat, and carbohydrates, will be displayed on the screen with input boxes and units of measurement (for example, %, kcal, g)
- Users can enter their desired number into these input boxes
- A plus button will be provided for users to add more detailed metrics, such as the amount of sugar, sodium and fiber
- Scenario #2: recipes accurately meets users’ nutrition goals
- The database generate recipes meet the inputted goals
- Scenario #3: recipes excludes ingredients that users don’t want
- Add a red ❌ button on the nutrition input page. Users can click the button to input ingredients they don't want for their search
- Include sections in the user profile where users can input ingredients they never want to see in search results
- Scenario #4: suggest the intake amount of nutritions
- Know your users by including a list of dietary preferences in their personal profile section, similar to dating preferences in dating apps. These preferences may include height, weight, nutritional goals (losing body fat, gaining weight, etc.), and more.
- Provide a short description and warnings for recommended nutrition plans.
- Scenario #5: Recommended recipes are localized, meaning they meet users' appetites and the ingredients are easy to obtain.
- Get to know the users - collect geographical information about them.
I have tried ChatGPT-4, and it can easily generate recipes that meet my nutritional goals. AI can certainly contribute a lot to this product, but the question is how?
Product Manager Learnings:
Co.Lab provides me with a solid foundation to pursue PM roles. The class has a well-structured mix of online lectures, fireside chats, and mentor feedback. The online lectures provide tools for product ideation and documentation, while the fireside chats offer direct insights into the daily work of PMs in the industry. The mentor feedback takes me further in understanding PMs’ mindset and what areas I can improve upon.