This project demonstrates how sustainability data can be transformed into a user-friendly digital experience. It also highlights the power of design in making environmental action more accessible, especially when supported by automation and visual feedback.

REFLECTION

We prototyped a clean, modern UI with intuitive navigation and bright, eco-themed visuals. The design emphasizes clarity and ease of use, while reinforcing trust through transparent data sources and minimal

cognitive load. *MOCKUPS COMING SOON*

We prototyped a clean, modern UI with intuitive navigation and bright, eco-themed visuals. The design emphasizes clarity and ease of use, while reinforcing trust through transparent data sources and minimal cognitive load. *MOCKUPS COMING SOON*

PROCESS AND APPROACH

PROCESS AND APPROACH

Carbon offsets allow users to cancel out their emissions by supporting projects that reduce or capture greenhouse gases.


USERS CAN:

Calculate your carbon footprint

Purchase carbon offsets equivalent to your individual emissions

The money is used toward projects that reduce or capture carbon dioxide

Carbon offsets allow users to cancel out their emissions by supporting projects that reduce or capture greenhouse gases.


USERS CAN:

Calculate your carbon footprint

Purchase carbon offsets equivalent to your individual emissions

The money is used toward projects that reduce or capture carbon dioxide

BOTTOM UP

Monthly subscription

Funds local and recent projects

Nature / Tech / Social

OFFSETS & YOU

OFFSETS & YOU

KILMA

Earn seeds for lifestyle and climate-friendly purchases


Purchase Offsets


Redeem rewards for gift cards or fund climate solutions to increase impact

More specific – starts with individual data points


Builds up to form a comprehensive larger picture


Provides more detailed insights

More time consuming

TOP DOWN

COMMONS

COMMONS

RESARCH AND INSIGHTS

THE CHALLENGE

Starts with a broad overview or high-level perspective


Focuses on the big picture before breaking into smaller components


Efficient for large-scale studies

Useful for identifying trends and patterns

Starts with a broad overview or high-level perspective


Focuses on the big picture before breaking into smaller components


Efficient for large-scale studies

Useful for identifying trends and patterns

Commons data collection is done in three ways:


USER-INPUTTED INFORMATION

In the Commons mobile app, users can provide information about their lifestyles (via the Carbon Survey) and their purchases (via transaction-level details) to personalize their carbon estimates.


AUTOMATED SPENDING DATA

Users can connect their spending history by linking their credit card, debit card, and bank accounts. Commons receives information on transaction vendors, amounts spent, and purchase categories. Instead of relying on self-reported estimates of purchases, this automated stream of data provides a timely, truthful picture of one’s actual consumption.


THIRD-PARTY DATASETS

Commons’ calculations pull in data from academia, government, and other trusted national, regional, and local datasets to improve the quality and relevance of estimates. These include the Environmental Protection Agency (EPA) model called the US Environmentally-Extended Input Output (US EIO) model.

We began by comparing top-down and bottom-up data collection approaches. We looked at how platforms like Commons and Klima handle carbon estimates and user input. Our research highlighted the importance of automation, transparency, and emotional design to maintain user interest.


We began by comparing top-down and bottom-up data collection approaches. We looked at how platforms like Commons and Klima handle carbon estimates and user input. Our research highlighted the importance of automation, transparency, and emotional design to maintain user interest.


Many sustainability tools are too technical or overwhelming for the average user. People want to make climate-conscious choices, but struggle to understand how their daily actions translate into emissions. Existing apps often lack clear visuals, streamlined flows, or engaging feedback loops that support lasting behavior change.

Many sustainability tools are too technical or overwhelming for the average user. People want to make climate-conscious choices, but struggle to understand how their daily actions translate into emissions. Existing apps often lack clear visuals, streamlined flows, or engaging feedback loops that support lasting behavior change.

ABOUT ME WORK CONNECT

REFLECTION

My collaborator and I designed a user-friendly interface for a carbon tracking app focused on helping users monitor their environmental impact. The goal was to encourage sustainable behavior through a gamified experience while simplifying complex data for everyday use.We began with user research and behavior analysis, then developed wireframes and prototypes for key features including personalized carbon tracking, progress dashboards, and actionable insights.

My collaborator and I designed a user-friendly interface for a carbon tracking app focused on helping users monitor their environmental impact. The goal was to encourage sustainable behavior through a gamified experience while simplifying complex data for everyday use.We began with user research and behavior analysis, then developed wireframes and prototypes for key features including personalized carbon tracking, progress dashboards, and actionable insights.

My collaborator and I designed a user-friendly interface for a carbon tracking app focused on helping users monitor their environmental impact. The goal was to encourage sustainable behavior through a gamified experience while simplifying complex data for everyday use.We began with user research and behavior analysis, then developed wireframes and prototypes for key features including personalized carbon tracking, progress dashboards, and actionable insights.

This project demonstrates how sustainability data can be transformed into a user-friendly digital experience. It also highlights the power of design in making environmental action more accessible, especially when supported by automation and visual feedback.

RESARCH AND INSIGHTS

THE CHALLENGE

We began by comparing top-down and bottom-up data collection approaches. We looked at how platforms like Commons and Klima handle carbon estimates and user input. Our research highlighted the importance of automation, transparency, and emotional design to maintain user interest.


Many sustainability tools are too technical or overwhelming for the average user. People want to make climate-conscious choices, but struggle to understand how their daily actions translate into emissions. Existing apps often lack clear visuals, streamlined flows, or engaging feedback loops that support lasting behavior change.

Starts with a broad overview or high-level perspective


Focuses on the big picture before breaking into smaller components


Efficient for large-scale studies


Useful for identifying trends and patterns

TOP DOWN

More specific – starts with individual data points


Builds up to form a comprehensive larger picture


Provides more detailed insights


More time consuming

BOTTOM UP

Earn seeds for lifestyle and climate-friendly purchases


Purchase Offsets


Redeem rewards for gift cards or fund climate solutions to increase impact

COMMONS

Commons data collection is done in three ways:


USER-INPUTTED INFORMATION

In the Commons mobile app, users can provide information about their lifestyles (via the Carbon Survey) and their purchases (via transaction-level details) to personalize their carbon estimates.


AUTOMATED SPENDING DATA

Users can connect their spending history by linking their credit card, debit card, and bank accounts. Commons receives information on transaction vendors, amounts spent, and purchase categories. Instead of relying on self-reported estimates of purchases, this automated stream of data provides a timely, truthful picture of one’s actual consumption.


THIRD-PARTY DATASETS

Commons’ calculations pull in data from academia, government, and other trusted national, regional, and local datasets to improve the quality and relevance of estimates. These include the Environmental Protection Agency (EPA) model called the US Environmentally-Extended Input Output (US EIO) model.

Monthly subscription


Funds local and recent projects


Nature / Tech / Social

KILMA

Carbon offsets allow users to cancel out their emissions by supporting projects that reduce or capture greenhouse gases.


USERS CAN:

Calculate your carbon footprint

Purchase carbon offsets equivalent to your individual emissions

The money is used toward projects that reduce or capture carbon dioxide

OFFSETS & YOU

We prototyped a clean, modern UI with intuitive navigation and bright, eco-themed visuals. The design emphasizes clarity and ease of use, while reinforcing trust through transparent data sources and minimal cognitive load.


*MOCKUPS COMING SOON*

PROCESS AND APPROACH

Monthly subscription

Funds local and recent projects

Nature / Tech / Social

KILMA

Earn seeds for lifestyle and climate-friendly purchases


Purchase Offsets


Redeem rewards for gift cards or fund climate solutions to increase impact

Commons data collection is done in three ways:


USER-INPUTTED INFORMATION

In the Commons mobile app, users can provide information about their lifestyles (via the Carbon Survey) and their purchases (via transaction-level details) to personalize their carbon estimates.


AUTOMATED SPENDING DATA

Users can connect their spending history by linking their credit card, debit card, and bank accounts. Commons receives information on transaction vendors, amounts spent, and purchase categories. Instead of relying on self-reported estimates of purchases, this automated stream of data provides a timely, truthful picture of one’s actual consumption.


THIRD-PARTY DATASETS

Commons’ calculations pull in data from academia, government, and other trusted national, regional, and local datasets to improve the quality and relevance of estimates. These include the Environmental Protection Agency (EPA) model called the US Environmentally-Extended Input Output (US EIO) model.

THE CHALLENGE

BOTTOM UP

More specific –

starts with

individual data points


Builds up to form a comprehensive larger picture


Provides more detailed insights


More time consuming

RESARCH AND INSIGHTS