Case Study
Case Study
Meal Preparation Application
Meal Preparation Application
Case Study
Meal Preparation Application
My Role
UX/UI Design
User Research
Design Direction
My Role
UX/UI Design
User Research
Design Direction
Tools Used
Figma Notion Google Forms ChatGPT
Tools Used
Figma Notion Google Forms ChatGPT
Duration
June 2023-January 2024
Duration
June 2023-January 2024
Overview
In today’s fast-paced world, people are increasingly looking for convenient and healthy ways to manage their meals. Our goal was to design a meal prep app that simplifies the process of planning, shopping, and cooking meals while promoting healthy eating habits. We utilized research findings to inform our design decisions.
Overview
In today’s fast-paced world, people are increasingly looking for convenient and healthy ways to manage their meals. Our goal was to design a meal prep app that simplifies the process of planning, shopping, and cooking meals while promoting healthy eating habits. We utilized research findings to inform our design decisions.
Approach
Our approach to designing the app began with thorough user research, where we gathered insights into users' needs, preferences, and pain points. With a focus on usability and innovation, we brainstormed features and functionalities to address these insights, creating a seamless user experience. We meticulously crafted the app's architecture, wireframes, and visual design, ensuring every element was intuitive and visually engaging. Our goal was to deliver a solution that simplifies meal planning, inspires culinary creativity, and ultimately makes the process of preparing meals easier for users.
Approach
Our approach to designing the app began with thorough user research, where we gathered insights into users' needs, preferences, and pain points. With a focus on usability and innovation, we brainstormed features and functionalities to address these insights, creating a seamless user experience. We meticulously crafted the app's architecture, wireframes, and visual design, ensuring every element was intuitive and visually engaging. Our goal was to deliver a solution that simplifies meal planning, inspires culinary creativity, and ultimately makes the process of preparing meals easier for users.
Problem Statement
How might we create a meal prep app that caters to the specific requirements of people, while considering their busy lifestyles, dietary preferences in mind?
Problem Statement
How might we create a meal prep app that caters to the specific requirements of people, while considering their busy lifestyles, dietary preferences in mind?
User Research
In order to gain a comprehensive understanding of the needs, preferences, and pain points of our target audience, we used a few research methods that allowed us to collect both qualitative and quantitative data.
User Interviews
User Survey
Competitive Analysis
User Research
In order to gain a comprehensive understanding of the needs, preferences, and pain points of our target audience, we used a few research methods that allowed us to collect both qualitative and quantitative data.
User Interviews
User Survey
Competitive Analysis
Research Insights
Diverse Dietary Preferences: Participants desire to have a feature that takes into account their preferences, schedule, and dietary needs to create efficient and diverse meal plans.
Meal Planning & Convenience: All participants expressed a preference for convenient cooking methods and meal planning that save time and effort.
Food Wastage Concerns: Each participant had some level of concern about food wastage, either due to unused ingredients or leftovers.
Research Insights
Diverse Dietary Preferences: Participants desire to have a feature that takes into account their preferences, schedule, and dietary needs to create efficient and diverse meal plans.
Meal Planning & Convenience: All participants expressed a preference for convenient cooking methods and meal planning that save time and effort.
Food Wastage Concerns: Each participant had some level of concern about food wastage, either due to unused ingredients or leftovers.
Ideation
Based on our research findings, we brainstormed features and functionalities that would address users’ needs and pain points. After identifying challenges and with the help of MoSCow mapping Some key ideation points included:
Personalized Meal Plans: Allow users to input their dietary preferences, allergies, and cooking skill level to receive personalized meal plans tailored to their needs.
Recipe Suggestions: Offer a variety of recipes categorized by dietary requirements and cuisine preferences, with the option to save favorites for future reference.
Generate Your Own Meal Plans: Automatically generate meal plans using AI based on selected dates, Type of meal and ingredients.
Cooking Instructions: Provide step-by-step cooking instructions and video tutorials to guide users through meal preparation.
Ideation
Based on our research findings, we brainstormed features and functionalities that would address users’ needs and pain points. After identifying challenges and with the help of MoSCow mapping Some key ideation points included:
Personalized Meal Plans: Allow users to input their dietary preferences, allergies, and cooking skill level to receive personalized meal plans tailored to their needs.
Recipe Suggestions: Offer a variety of recipes categorized by dietary requirements and cuisine preferences, with the option to save favorites for future reference.
Generate Your Own Meal Plans: Automatically generate meal plans using AI based on selected dates, Type of meal and ingredients.
Cooking Instructions: Provide step-by-step cooking instructions and video tutorials to guide users through meal preparation.
Mapping our Insights
Information Architecture
Using FigJam, we created a detailed information architecture to map out the app’s structure and navigation. We organized content logically, ensuring that users could easily find what they need. The architecture included main sections such as Personalised Home Page, Meal Plans, Shopping List, Profile, and Settings.
Our journey from ideation to Information Architecture
Information Architecture
Using FigJam, we created a detailed information architecture to map out the app’s structure and navigation. We organized content logically, ensuring that users could easily find what they need. The architecture included main sections such as Personalised Home Page, Meal Plans, Shopping List, Profile, and Settings.
Our journey from ideation to Information Architecture
Wireframes
we developed wireframes for each screen of the app, focusing on functionality and user flow. We kept the design clean and intuitive, with clear calls to action and minimalistic visuals to reduce cognitive load.
Wireframes
we developed wireframes for each screen of the app, focusing on functionality and user flow. We kept the design clean and intuitive, with clear calls to action and minimalistic visuals to reduce cognitive load.
Low Fidelity Sketches
Mid Fidelity Wireframes
Low Fidelity Sketches
Mid Fidelity Wireframes
Visual Design
we aimed for a clean and modern aesthetic, with vibrant colours and appetizing imagery to engage users. We incorporated intuitive icons and typography to enhance readability and usability. The visual design was iteratively refined based to ensure an appealing and user-friendly interface.
Style guide
Visual Design
we aimed for a clean and modern aesthetic, with vibrant colours and appetizing imagery to engage users. We incorporated intuitive icons and typography to enhance readability and usability. The visual design was iteratively refined based to ensure an appealing and user-friendly interface.
Style guide
Final Designs
Final Designs
Home Screen & Meal Planning Landing Screen
User Flow To Create Your Own AI Generated Meal plan
Final Designs
Home Screen & Meal Planning Landing Screen
User Flow To Create Your Own AI Generated Meal plan
Prototype
Prototype
Key Learnings
Throughout the design process we gleaned invaluable insights that shaped our approach and product development. We learned the importance of understanding users' pain points and preferences to create a solution that truly resonates with them. Additionally, the iterative nature of our process emphasized the value of incorporating user feedback at every stage to refine and improve the app which ultimately was our key takeaway that is empathy-driven design.
Key Takeaways & Learnings
Throughout the design process, we gained invaluable insights that shaped our approach to product development. We learned the importance of understanding users' pain points and preferences to create a solution that truly resonates with them. Additionally, the iterative nature of our process emphasized the value of incorporating user feedback at every stage to refine and improve the app. Ultimately, our key takeaway was that empathy-driven design is essential.
Key Takeaways & Learnings
Throughout the design process, we gained invaluable insights that shaped our approach to product development. We learned the importance of understanding users' pain points and preferences to create a solution that truly resonates with them. Additionally, the iterative nature of our process emphasized the value of incorporating user feedback at every stage to refine and improve the app. Ultimately, our key takeaway was that empathy-driven design is essential.
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