Dish Dash 
Creating a seamless food delivery experience powered by personalization and smart technology.
Background
Prompt
Dish Dash was created to redefine the convenience and personalization of ordering meals. Designed with features like instant reordering of past favorites, collaborative group ordering, and an AI voice assistant, the app ensures a faster, smarter, and more social food ordering experience.
Imagine opening a food app that remembers your last order, helps you and your friends place a single group order effortlessly, and lets you order your next meal with just your voice.​​​​​​​
Design Thinking Process
I primarily followed the Design Thinking process throughout this project.
User Interviews
To understand user pain points, behavior and needs, I conducted interviews and distributed online surveys to users aged 18–45. Participants included students, busy professionals, and families.
The open-ended questions explored their food ordering habits, frustrations with existing delivery platforms, and features they wished existed.
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RESEARCH
User Personas
Based on user interviews insights, I created these primary personas to represent key goals, behaviors, and pain points of our target users. 
Empathy Map
Combining interview insights and personas, I crafted an aggregated empathy map to visualize the users’ thoughts, feelings, needs, and frustrations during the food ordering process.
Problem Statement
Despite the rise of food delivery platforms, users still face friction in reordering favorite meals, coordinating group orders, and placing orders in hands-free situations.

"How might we simplify and personalize the food ordering process to better fit users’ lifestyles, making it more social, accessible, and efficient?"
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PRODUCT STRUCTURE
User Flow
Based on the insights gathered, I mapped out a user flow that emphasizes ease, speed, and flexibility—from onboarding to ordering, group collaboration, and checkout. The focus was on minimizing steps and offering multiple input methods (tap, type, voice).
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DESIGN SOLUTIONS
Low Fidelity Prototypes
With a clear flow in place, I developed low-fidelity wireframes that focused on core functionality: reorder, group order creation, and voice input. These helped validate the concept and navigation logic early in the process.
High Fidelity Prototypes
Building on feedback and testing, I created high-fidelity prototypes that brought the interface to life with visual polish and interactivity. This final prototype integrates user feedback, real-time elements, and intuitive controls to deliver a complete, modern food ordering experience.

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