Ecoville

Designing a Sustainable Shopping Experience

CLIENT

Ecoville

CLIENT

Ecoville

CLIENT

Ecoville

Role

Designer

Role

Designer

Role

Designer

Service

UI/UX Design

Service

UI/UX Design

Service

UI/UX Design

Green Fern
Green Fern
Green Fern

Introduction

Introduction

Introduction

Sustainable shopping is no longer just a trend, it’s a lifestyle choice for many. But while awareness is growing, finding authentic eco-friendly stores still feels like a scavenger hunt.
Ecoville is a mobile app I designed to bridge this gap. It helps people discover eco-friendly stores nearby, shop by category, and stay motivated through a gamified rewards system.



How can we make sustainable shopping convenient, trustworthy, and engaging?



Research

To define the structure of Ecoville, I began by conducting exploratory research with potential users. The goal was to understand their shopping behaviors, challenges, and motivations when it comes to choosing eco-friendly products.


Identifying the Problem Space

  • What challenges do you face when trying to find eco-friendly products or stores
  • How do you currently discover and decide where to shop sustainably?
  • What stops you from buying eco-friendly items more often?



Common struggles:


User Persona:

Based on the interview findings, I developed personas to capture the characteristics, needs, and behaviors of the users who would gain the most value from the platform.




User Journey and Information Architecture:

Based on the research conducted, I translated the insights into a structured information architecture and user journey. The personas highlighted key needs such as easy discovery of eco-friendly stores, trustworthy categorization, and meaningful engagement through rewards.

Research also revealed pain points like difficulty in locating authentic sustainable products and lack of motivation to continue eco-conscious shopping habits.



The resulting IA ensures that users can move seamlessly from discovery to action, while building a long-term habit of sustainable shopping.




Sustainable shopping is no longer just a trend, it’s a lifestyle choice for many. But while awareness is growing, finding authentic eco-friendly stores still feels like a scavenger hunt.
Ecoville is a mobile app I designed to bridge this gap. It helps people discover eco-friendly stores nearby, shop by category, and stay motivated through a gamified rewards system.



How can we make sustainable shopping convenient, trustworthy, and engaging?



Research

To define the structure of Ecoville, I began by conducting exploratory research with potential users. The goal was to understand their shopping behaviors, challenges, and motivations when it comes to choosing eco-friendly products.


Identifying the Problem Space

  • What challenges do you face when trying to find eco-friendly products or stores
  • How do you currently discover and decide where to shop sustainably?
  • What stops you from buying eco-friendly items more often?



Common struggles:


User Persona:

Based on the interview findings, I developed personas to capture the characteristics, needs, and behaviors of the users who would gain the most value from the platform.




User Journey and Information Architecture:

Based on the research conducted, I translated the insights into a structured information architecture and user journey. The personas highlighted key needs such as easy discovery of eco-friendly stores, trustworthy categorization, and meaningful engagement through rewards.

Research also revealed pain points like difficulty in locating authentic sustainable products and lack of motivation to continue eco-conscious shopping habits.



The resulting IA ensures that users can move seamlessly from discovery to action, while building a long-term habit of sustainable shopping.




Sustainable shopping is no longer just a trend, it’s a lifestyle choice for many. But while awareness is growing, finding authentic eco-friendly stores still feels like a scavenger hunt.
Ecoville is a mobile app I designed to bridge this gap. It helps people discover eco-friendly stores nearby, shop by category, and stay motivated through a gamified rewards system.



How can we make sustainable shopping convenient, trustworthy, and engaging?



Research

To define the structure of Ecoville, I began by conducting exploratory research with potential users. The goal was to understand their shopping behaviors, challenges, and motivations when it comes to choosing eco-friendly products.


Identifying the Problem Space

  • What challenges do you face when trying to find eco-friendly products or stores
  • How do you currently discover and decide where to shop sustainably?
  • What stops you from buying eco-friendly items more often?



Common struggles:


User Persona:

Based on the interview findings, I developed personas to capture the characteristics, needs, and behaviors of the users who would gain the most value from the platform.




User Journey and Information Architecture:

Based on the research conducted, I translated the insights into a structured information architecture and user journey. The personas highlighted key needs such as easy discovery of eco-friendly stores, trustworthy categorization, and meaningful engagement through rewards.

Research also revealed pain points like difficulty in locating authentic sustainable products and lack of motivation to continue eco-conscious shopping habits.



The resulting IA ensures that users can move seamlessly from discovery to action, while building a long-term habit of sustainable shopping.




Design Solution

Design Solution

Design Solution


Low Fidelity wireframe

I kicked off the design process with low-fidelity wireframes to experiment with various layouts and navigation patterns, focusing on key pages such as the home screen, categories, and rewards




High Fidelity wireframe

Once the layout and navigation were validated through low-fidelity wireframes, I moved on to high-fidelity designs. These screens incorporated visual design elements, typography, colors, and interactive components to bring the key pages: home, categories, and rewards, to life, reflecting the final user experience and brand identity


Outcomes

  • Reduced friction in finding eco-stores → users can shop sustainably within minutes.

  • Gamified system encourages repeat behaviorturns eco-shopping into a habit.

  • Location- and category-based discovery → users can find nearby stores quickly and efficiently.



Low Fidelity wireframe

I kicked off the design process with low-fidelity wireframes to experiment with various layouts and navigation patterns, focusing on key pages such as the home screen, categories, and rewards




High Fidelity wireframe

Once the layout and navigation were validated through low-fidelity wireframes, I moved on to high-fidelity designs. These screens incorporated visual design elements, typography, colors, and interactive components to bring the key pages: home, categories, and rewards, to life, reflecting the final user experience and brand identity


Outcomes

  • Reduced friction in finding eco-stores → users can shop sustainably within minutes.

  • Gamified system encourages repeat behaviorturns eco-shopping into a habit.

  • Location- and category-based discovery → users can find nearby stores quickly and efficiently.



Low Fidelity wireframe

I kicked off the design process with low-fidelity wireframes to experiment with various layouts and navigation patterns, focusing on key pages such as the home screen, categories, and rewards




High Fidelity wireframe

Once the layout and navigation were validated through low-fidelity wireframes, I moved on to high-fidelity designs. These screens incorporated visual design elements, typography, colors, and interactive components to bring the key pages: home, categories, and rewards, to life, reflecting the final user experience and brand identity


Outcomes

  • Reduced friction in finding eco-stores → users can shop sustainably within minutes.

  • Gamified system encourages repeat behaviorturns eco-shopping into a habit.

  • Location- and category-based discovery → users can find nearby stores quickly and efficiently.