Project Overview:
Fondine is a streamlined food delivery service allowing customers to order from multiple restaurants in one go, providing quick and efficient deliveries.
With many people ordering takeout regularly and spending significantly, the market is ripe for an innovative solution. Fondine addresses the challenges of multi-restaurant orders and efficient single-carrier delivery by utilizing AI and smart algorithms.
This project focuses on the user experience of the app and website, not on broader industry issues. I'm excited to introduce Fondine, an app that revolutionizes how we enjoy food delivery from various eateries.
Project Overview:
Fondine is a streamlined food delivery service allowing customers to order from multiple restaurants in one go, providing quick and efficient deliveries.
With many people ordering takeout regularly and spending significantly, the market is ripe for an innovative solution. Fondine addresses the challenges of multi-restaurant orders and efficient single-carrier delivery by utilizing AI and smart algorithms.
This project focuses on the user experience of the app and website, not on broader industry issues. I'm excited to introduce Fondine, an app that revolutionizes how we enjoy food delivery from various eateries.
Project Overview:
Fondine is a streamlined food delivery service allowing customers to order from multiple restaurants in one go, providing quick and efficient deliveries.
With many people ordering takeout regularly and spending significantly, the market is ripe for an innovative solution. Fondine addresses the challenges of multi-restaurant orders and efficient single-carrier delivery by utilizing AI and smart algorithms.
This project focuses on the user experience of the app and website, not on broader industry issues. I'm excited to introduce Fondine, an app that revolutionizes how we enjoy food delivery from various eateries.
Role:
UXUI Designer; User research, Design thinking, Interaction design, UI design, Prototyping & Testing.
Role:
UXUI Designer; User research, Design thinking, Interaction design, UI design, Prototyping & Testing.
Role:
UXUI Designer; User research, Design thinking, Interaction design, UI design, Prototyping & Testing.
Client:
This was a solo project to build my portfolio and demonstrate my skills in depth.
Client:
This was a solo project to build my portfolio and demonstrate my skills in depth.
Client:
This was a solo project to build my portfolio and demonstrate my skills in depth.
Time & Date:
One months | Jul 2022
Time & Date:
One months | Jul 2022
Time & Date:
One months | Jul 2022
Desk Research
I researched the challenges users face using food delivery platforms, I identified four main challenges people face when using food delivery platforms.
I also analyzed competitors at various levels to understand their strategies and gaps. This revealed opportunities: simplifying user choices with smart, algorithm-driven suggestions, enabling combined orders from multiple restaurants, and expanding flexible payment options.
Desk Research
I researched the challenges users face using food delivery platforms, I identified four main challenges people face when using food delivery platforms.
I also analyzed competitors at various levels to understand their strategies and gaps. This revealed opportunities: simplifying user choices with smart, algorithm-driven suggestions, enabling combined orders from multiple restaurants, and expanding flexible payment options.
Desk Research
I researched the challenges users face using food delivery platforms, I identified four main challenges people face when using food delivery platforms.
I also analyzed competitors at various levels to understand their strategies and gaps. This revealed opportunities: simplifying user choices with smart, algorithm-driven suggestions, enabling combined orders from multiple restaurants, and expanding flexible payment options.
Users Interviews
Interviews with regular online food orderers aimed to uncover challenges and behaviors. Key findings include a common difficulty in making choices unless pre-decided, and hesitance to order from multiple restaurants due to concerns over synchronized delivery times.
Users Interviews
Interviews with regular online food orderers aimed to uncover challenges and behaviors. Key findings include a common difficulty in making choices unless pre-decided, and hesitance to order from multiple restaurants due to concerns over synchronized delivery times.
Users Interviews
Interviews with regular online food orderers aimed to uncover challenges and behaviors. Key findings include a common difficulty in making choices unless pre-decided, and hesitance to order from multiple restaurants due to concerns over synchronized delivery times.
Defining the Target Group
Defining the Target Group
Defining the Target Group
Defining the Problem
Defining the Problem
Defining the Problem
Defining the MVP:
To address our identified issues, I sketched out solutions informed by our research, focusing on:
Implementing AI-driven smart suggestions to personalize user choices, showing a select number of meals at a time for ease of use.
Creating a universal cart that allows mixed restaurant orders in one checkout process, backed by a coordinated delivery system for efficient single deliveries.
offering a wide range of payment options to accommodate various user preferences.
Defining the MVP:
To address our identified issues, I sketched out solutions informed by our research, focusing on:
Implementing AI-driven smart suggestions to personalize user choices, showing a select number of meals at a time for ease of use.
Creating a universal cart that allows mixed restaurant orders in one checkout process, backed by a coordinated delivery system for efficient single deliveries.
offering a wide range of payment options to accommodate various user preferences.
Defining the MVP:
To address our identified issues, I sketched out solutions informed by our research, focusing on:
Implementing AI-driven smart suggestions to personalize user choices, showing a select number of meals at a time for ease of use.
Creating a universal cart that allows mixed restaurant orders in one checkout process, backed by a coordinated delivery system for efficient single deliveries.
offering a wide range of payment options to accommodate various user preferences.
A Collective Delivery System:
To demonstrate feasibility with current tech, I propose a delivery system utilizing an algorithm for route optimization.
Carriers assigned to specific zones could directly deliver orders or pass them to another carrier for final delivery.
This enables efficient multi-restaurant deliveries while reducing costs and inconvenience of multiple carriers.
A Collective Delivery System:
To demonstrate feasibility with current tech, I propose a delivery system utilizing an algorithm for route optimization.
Carriers assigned to specific zones could directly deliver orders or pass them to another carrier for final delivery.
This enables efficient multi-restaurant deliveries while reducing costs and inconvenience of multiple carriers.
A Collective Delivery System:
To demonstrate feasibility with current tech, I propose a delivery system utilizing an algorithm for route optimization.
Carriers assigned to specific zones could directly deliver orders or pass them to another carrier for final delivery.
This enables efficient multi-restaurant deliveries while reducing costs and inconvenience of multiple carriers.
Defining Visual Language
Before creating high-fidelity designs, I researched competitor visuals like color schemes, typography, and iconography.
Findings include diverse color usage, ranging from traditional food hues to unique brand shades, mostly bright and saturated. Competitors favor legible, versatile fonts and use enhanced food images to draw attention, though excessive use can be overbearing.
Defining Visual Language
Before creating high-fidelity designs, I researched competitor visuals like color schemes, typography, and iconography.
Findings include diverse color usage, ranging from traditional food hues to unique brand shades, mostly bright and saturated. Competitors favor legible, versatile fonts and use enhanced food images to draw attention, though excessive use can be overbearing.
Defining Visual Language
Before creating high-fidelity designs, I researched competitor visuals like color schemes, typography, and iconography.
Findings include diverse color usage, ranging from traditional food hues to unique brand shades, mostly bright and saturated. Competitors favor legible, versatile fonts and use enhanced food images to draw attention, though excessive use can be overbearing.
Design Breakdown
Design Breakdown
Design Breakdown
High Fidelity Flows
After finishing the initial prototype, I conducted usability testing, refined it according to the feedback, and now I'm presenting the final design.
High Fidelity Flows
After finishing the initial prototype, I conducted usability testing, refined it according to the feedback, and now I'm presenting the final design.
High Fidelity Flows
After finishing the initial prototype, I conducted usability testing, refined it according to the feedback, and now I'm presenting the final design.
Validation (Usability Testing):
Usability testing is essential, so I conducted it with our target groups over Zoom, asking participants to perform tasks and then share their feedback.
Validation (Usability Testing):
Usability testing is essential, so I conducted it with our target groups over Zoom, asking participants to perform tasks and then share their feedback.
Validation (Usability Testing):
Usability testing is essential, so I conducted it with our target groups over Zoom, asking participants to perform tasks and then share their feedback.
What is Next?
The product's success hinges on the effectiveness of the algorithms for smart meal suggestions and multi-restaurant order collection points. The next step involves evaluating their performance and iterating based on user input.
Reflections & Learning:
Talk to people from different interests in the research phase:
Engaging with a diverse range of individuals is crucial, as it uncovers varied perspectives, challenges, and needs, ensuring a comprehensive understanding of the problem and better definition of target groups for improved service.
Involve developers early on:
Adopting a design thinking approach, I aimed to create a practical product that solves real problems and is technologically viable. Consequently, involving developers early, particularly when discussing features like shortest path routing and smart suggestions, is crucial to ensure feasibility.
Create a realistic scope and stick to it:
Setting a realistic scope, informed by research, helps focus on solvable issues without getting sidetracked by non-essential or secondary concerns.
What is Next?
The product's success hinges on the effectiveness of the algorithms for smart meal suggestions and multi-restaurant order collection points. The next step involves evaluating their performance and iterating based on user input.
Reflections & Learning:
Talk to people from different interests in the research phase:
Engaging with a diverse range of individuals is crucial, as it uncovers varied perspectives, challenges, and needs, ensuring a comprehensive understanding of the problem and better definition of target groups for improved service.
Involve developers early on:
Adopting a design thinking approach, I aimed to create a practical product that solves real problems and is technologically viable. Consequently, involving developers early, particularly when discussing features like shortest path routing and smart suggestions, is crucial to ensure feasibility.
Create a realistic scope and stick to it:
Setting a realistic scope, informed by research, helps focus on solvable issues without getting sidetracked by non-essential or secondary concerns.
What is Next?
The product's success hinges on the effectiveness of the algorithms for smart meal suggestions and multi-restaurant order collection points. The next step involves evaluating their performance and iterating based on user input.
Reflections & Learning:
Talk to people from different interests in the research phase:
Engaging with a diverse range of individuals is crucial, as it uncovers varied perspectives, challenges, and needs, ensuring a comprehensive understanding of the problem and better definition of target groups for improved service.
Involve developers early on:
Adopting a design thinking approach, I aimed to create a practical product that solves real problems and is technologically viable. Consequently, involving developers early, particularly when discussing features like shortest path routing and smart suggestions, is crucial to ensure feasibility.
Create a realistic scope and stick to it:
Setting a realistic scope, informed by research, helps focus on solvable issues without getting sidetracked by non-essential or secondary concerns.