Summary of the Design Sprint Presentation

Project Scope:

The project focused on designing a solution to help North American adults living in shared households manage grocery shopping efficiently, aiming to prevent overbuying and food waste. The design challenge was articulated through the "How Might We" (HMW) question: How might we assist North American adults living with others in a household to manage grocery shopping so that they prevent overbuying food?

Persona:

The primary user persona, Mary Smith, is a 31-year-old accountant from New York, married with two children. Her main goals are to buy the right amount of food for her family without duplication and prevent food expiration due to overstocking. Her challenges include forgetting the shopping list and buying duplicate items because of communication gaps within the household.

App Concept:

The solution proposed was a comprehensive food tracking and shopping list app with features tailored to:

• Track and display contents of the fridge and pantry.

• Provide alerts for duplicate items and expiration dates.

• Offer reminders to consume food on time.

• Display potential savings from reduced food waste.

The app includes innovative functions like AI camera integration for recognizing food items, learning user purchase habits, and offering predictive restocking prompts.

Design Process:

The team adhered to a structured design sprint process involving mapping, sketching, decision-making, prototyping, and testing phases. Initial sketches and content flow diagrams guided the development of mid-fidelity wireframes, which evolved into a high-fidelity prototype designed for both desktop and mobile viewports.

Key Features and Innovations:

• Shared shopping lists to enhance household communication.

• Integration with retailer apps like Walmart for seamless shopping experiences.

• Historical data analysis on savings and consumption patterns.

User Testing and Feedback:

The prototype underwent rigorous user testing, providing critical insights that refined the design. Feedback emphasized the need for intuitive navigation and highlighted the app’s effectiveness in reducing food waste and managing household budgets.

Next Steps:

Future developments include enhancing AI capabilities, expanding alert systems, and improving integration with other platforms for a holistic user experience. Further user testing rounds are planned to refine the app based on real-world usage.

Key Learnings:

The sprint highlighted the importance of user-centered design and iterative testing. Team collaboration tools and Figma were instrumental in facilitating effective design and feedback loops.

Conclusion:

The presentation effectively summarized the sprint’s outcomes, detailing the journey from problem understanding to prototype development. It showcased a clear understanding of the target demographic, their needs, and how the app meets these needs with innovative technology and thoughtful design. The project demonstrated substantial promise in using UX principles to solve practical problems in everyday contexts.