Trail Angel

Trail Angel

Trail Angel

Make the Invisible Tangible

Make the Invisible Tangible

Make the Invisible Tangible

Trail Angel is an innovative mobile application designed to empower outdoor enthusiasts with real-time air quality information, ensuring safe and enjoyable adventures even in regions prone to wildfires. By seamlessly connecting to a portable air tracker, Trail Angel offers users the ability to monitor air quality conditions in real-time and provides alternative route planning when air quality becomes compromised.

Trail Angel is an innovative mobile application designed to empower outdoor enthusiasts with real-time air quality information, ensuring safe and enjoyable adventures even in regions prone to wildfires. By seamlessly connecting to a portable air tracker, Trail Angel offers users the ability to monitor air quality conditions in real-time and provides alternative route planning when air quality becomes compromised.

Trail Angel is an innovative mobile application designed to empower outdoor enthusiasts with real-time air quality information, ensuring safe and enjoyable adventures even in regions prone to wildfires. By seamlessly connecting to a portable air tracker, Trail Angel offers users the ability to monitor air quality conditions in real-time and provides alternative route planning when air quality becomes compromised.

Product Name

Product Name

Trail Angel

Trail Angel

Contribute

Contribute

UX & UI Design

Industrial Design

UX & UI Design

Industrial Design

Tools

Tools

Figma

FigJam

Cinema 4D

Google Workplace

Figma

FigJam

Cinema 4D

Google Workplace

Duration

Duration

2022-2023

2022-2023

Overview

Overview

Overview

Why Trail Angel?

Why Trail Angel?

Why Trail Angel?

The increasing frequency and intensity of wildfires, particularly in regions like California, have made air quality a critical concern for outdoor enthusiasts. With wildfire seasons extending up to nine months, there's a pressing need for real-time air quality monitoring to protect public health. Trail Angel addresses this gap by providing timely, location-specific air quality information, enabling users to make informed decisions about their outdoor activities.

The increasing frequency and intensity of wildfires, particularly in regions like California, have made air quality a critical concern for outdoor enthusiasts. With wildfire seasons extending up to nine months, there's a pressing need for real-time air quality monitoring to protect public health. Trail Angel addresses this gap by providing timely, location-specific air quality information, enabling users to make informed decisions about their outdoor activities.

The increasing frequency and intensity of wildfires, particularly in regions like California, have made air quality a critical concern for outdoor enthusiasts. With wildfire seasons extending up to nine months, there's a pressing need for real-time air quality monitoring to protect public health. Trail Angel addresses this gap by providing timely, location-specific air quality information, enabling users to make informed decisions about their outdoor activities.

Problem Statement

Problem Statement

Problem Statement

How might we provide real-time air quality information to outdoor enthusiasts, enabling them to plan and adjust their activities safely in the face of wildfire-related air pollution?

How might we provide real-time air quality information to outdoor enthusiasts, enabling them to plan and adjust their activities safely in the face of wildfire-related air pollution?

How might we provide real-time air quality information to outdoor enthusiasts, enabling them to plan and adjust their activities safely in the face of wildfire-related air pollution?

Currently, there is no straightforward method for determining the air quality index for specific trails or routes, leaving outdoor lovers uncertain about the safety of their planned activities.

Currently, there is no straightforward method for determining the air quality index for specific trails or routes, leaving outdoor lovers uncertain about the safety of their planned activities.

Currently, there is no straightforward method for determining the air quality index for specific trails or routes, leaving outdoor lovers uncertain about the safety of their planned activities.

Goal

Goal

Goal

Trail Angel aims to offer users:

  1. Trail recommendations based on air quality preferences

  2. Accurate forecasts of wildfire-related air pollution

  3. Real-time alerts for air pollution incidents

  4. Alternative route suggestions when air quality becomes unsafe

Trail Angel aims to offer users:

  1. Trail recommendations based on air quality preferences

  2. Accurate forecasts of wildfire-related air pollution

  3. Real-time alerts for air pollution incidents

  4. Alternative route suggestions when air quality becomes unsafe

Trail Angel aims to offer users:

  1. Trail recommendations based on air quality preferences

  2. Accurate forecasts of wildfire-related air pollution

  3. Real-time alerts for air pollution incidents

  4. Alternative route suggestions when air quality becomes unsafe

Understand

Understand

Understand

Observation

Observation

Observation

During California's extended wildfire season, residents face constant uncertainty regarding air pollution from wildfires, even when they are already in affected areas. This uncertainty often leads to last-minute cancellations of outdoor plans or, worse, exposure to harmful air quality.

During California's extended wildfire season, residents face constant uncertainty regarding air pollution from wildfires, even when they are already in affected areas. This uncertainty often leads to last-minute cancellations of outdoor plans or, worse, exposure to harmful air quality.

Secondary Research

Secondary Research

Secondary Research

Data from CAL FIRE and other authoritative sources highlight the frequency and impact of wildfires in California. In 2023 alone. The following data underscores the critical need for reliable, real-time air quality information for outdoor enthusiasts.

Data from CAL FIRE and other authoritative sources highlight the frequency and impact of wildfires in California. In 2023 alone. The following data underscores the critical need for reliable, real-time air quality information for outdoor enthusiasts.

Competitive Analysis

Competitive Analysis

Competitive Analysis

While many apps provide trail maps and weather forecasts, none offer comprehensive, real-time air quality updates and alerts specifically tailored for outdoor activities. Trail Angel fills this crucial gap by providing:

  • Real-time air quality data

  • Route adjustment tools

  • Safety tips for navigating wildfire-affected areas

While many apps provide trail maps and weather forecasts, none offer comprehensive, real-time air quality updates and alerts specifically tailored for outdoor activities. Trail Angel fills this crucial gap by providing:

  • Real-time air quality data

  • Route adjustment tools

  • Safety tips for navigating wildfire-affected areas

Interview

Interview

Interview

We conducted in-depth interviews with three target audience members and two experts in the field. These conversations revealed a strong demand for an app that combines comprehensive trail information with real-time environmental data.

We conducted in-depth interviews with three target audience members and two experts in the field. These conversations revealed a strong demand for an app that combines comprehensive trail information with real-time environmental data.

Key insights included:

  • Strong demand for an app combining trail information with real-time environmental data


  • Users expressed anxiety about planning outdoor activities during wildfire season


  • Experts emphasized the importance of accurate, localized air quality data for public health

Key insights included:

  • Strong demand for an app combining trail information with real-time environmental data


  • Users expressed anxiety about planning outdoor activities during wildfire season


  • Experts emphasized the importance of accurate, localized air quality data for public health

Key insights included:

  • Strong demand for an app combining trail information with real-time environmental data


  • Users expressed anxiety about planning outdoor activities during wildfire season


  • Experts emphasized the importance of accurate, localized air quality data for public health

Affinity Diagram

Affinity Diagram

Affinity Diagram

To synthesize our research findings, we utilized an affinity diagram. This tool was instrumental in refining our insights and achieving a comprehensive, user-centric solution, especially when pinpointing exact user needs proved challenging.

To synthesize our research findings, we utilized an affinity diagram. This tool was instrumental in refining our insights and achieving a comprehensive, user-centric solution, especially when pinpointing exact user needs proved challenging.

Key Insight From Research

Key Insight From Research

Key Insight From Research

  1. Health and Emotional Impacts

    Wildfires create both health risks and emotional stress due to their unpredictable nature.


  2. Demand for Reliable Information

    Users urgently need fast, accurate information on air quality and the status of areas affected by wildfire smoke.


  3. Desire for Predictive Tools

    There is a strong preference for features that predict air quality changes to help with planning outdoor activities.

  1. Health and Emotional Impacts

    Wildfires create both health risks and emotional stress due to their unpredictable nature.


  2. Demand for Reliable Information

    Users urgently need fast, accurate information on air quality and the status of areas affected by wildfire smoke.


  3. Desire for Predictive Tools

    There is a strong preference for features that predict air quality changes to help with planning outdoor activities.

Persona

Persona

Persona

We created detailed personas to represent our diverse user base. These personas helped us identify specific user needs, frustrations, and technological preferences, guiding our design decisions.

We created detailed personas to represent our diverse user base. These personas helped us identify specific user needs, frustrations, and technological preferences, guiding our design decisions.

We created detailed personas to represent our diverse user base. These personas helped us identify specific user needs, frustrations, and technological preferences, guiding our design decisions.

Key Insight From Persona

Key Insight From Persona

Key Insight From Persona

  1. Diverse User Profiles

    Understanding different user needs and preferences within the same app context.


  2. Specific Needs and Frustrations

    Crucial information for developing features that address user pain points effectively.


  3. Technology Usage and Preferences

    Insights to design an intuitive interface that meets users' technological comfort levels.


  4. Lifestyle Contexts

    Information to ensure the app fits seamlessly into users' lifestyles.

  1. Diverse User Profiles

    Understanding different user needs and preferences within the same app context.


  2. Specific Needs and Frustrations

    Crucial information for developing features that address user pain points effectively.


  3. Technology Usage and Preferences

    Insights to design an intuitive interface that meets users' technological comfort levels.


  4. Lifestyle Contexts

    Information to ensure the app fits seamlessly into users' lifestyles.

  1. Diverse User Profiles

    Understanding different user needs and preferences within the same app context.


  2. Specific Needs and Frustrations

    Crucial information for developing features that address user pain points effectively.


  3. Technology Usage and Preferences

    Insights to design an intuitive interface that meets users' technological comfort levels.


  4. Lifestyle Contexts

    Information to ensure the app fits seamlessly into users' lifestyles.

Ideation

We created MVP sketches to brainstorm solutions, ultimately selecting three core features that best meet our users' needs:

We created MVP sketches to brainstorm solutions, ultimately selecting three core features that best meet our users' needs:

We created MVP sketches to brainstorm solutions, ultimately selecting three core features that best meet our users' needs:

Trail Plan

Trail Plan

Trail Plan

Helps outdoor lovers choose safer paths by showing air quality, past wildfires, and planned burns.

  • What: Offers users the ability to create personalized outdoor trail plans with integrated air quality data.

  • How: Utilizes GIS mapping technology combined with real-time air quality data from IoT sensors and satellite imagery.

  • Tech: Integrates APIs from weather services and air quality monitoring networks, using cloud-based data processing for real-time updates.

Helps outdoor lovers choose safer paths by showing air quality, past wildfires, and planned burns.

  • What: Offers users the ability to create personalized outdoor trail plans with integrated air quality data.

  • How: Utilizes GIS mapping technology combined with real-time air quality data from IoT sensors and satellite imagery.

  • Tech: Integrates APIs from weather services and air quality monitoring networks, using cloud-based data processing for real-time updates.

Helps outdoor lovers choose safer paths by showing air quality, past wildfires, and planned burns.

  • What: Offers users the ability to create personalized outdoor trail plans with integrated air quality data.

  • How: Utilizes GIS mapping technology combined with real-time air quality data from IoT sensors and satellite imagery.

  • Tech: Integrates APIs from weather services and air quality monitoring networks, using cloud-based data processing for real-time updates.

The following storyboard illustrates the journey of persona Wyatt, a product manager and a father who uses the Trail Angel app to ensure his family's outdoor activities are safe from wildfire smoke by using the Trail Plan MVP.

The following storyboard illustrates the journey of persona Wyatt, a product manager and a father who uses the Trail Angel app to ensure his family's outdoor activities are safe from wildfire smoke by using the Trail Plan MVP.

The following storyboard illustrates the journey of persona Wyatt, a product manager and a father who uses the Trail Angel app to ensure his family's outdoor activities are safe from wildfire smoke by using the Trail Plan MVP.

AQI Alert

AQI Alert

AQI Alert

Uses IoT technology to provide instant alerts about air quality, allowing users to adjust routes quickly.

  • What: Provides instant alerts about air quality changes, enabling users to make quick decisions about their routes.

  • How: Connects to a portable air quality monitor via Bluetooth, offering continuous real-time monitoring.

  • Tech: Employs IoT technology and low-energy Bluetooth connectivity, with edge computing for rapid data processing and alerts.

Uses IoT technology to provide instant alerts about air quality, allowing users to adjust routes quickly.

  • What: Provides instant alerts about air quality changes, enabling users to make quick decisions about their routes.

  • How: Connects to a portable air quality monitor via Bluetooth, offering continuous real-time monitoring.

  • Tech: Employs IoT technology and low-energy Bluetooth connectivity, with edge computing for rapid data processing and alerts.

Uses IoT technology to provide instant alerts about air quality, allowing users to adjust routes quickly.

  • What: Provides instant alerts about air quality changes, enabling users to make quick decisions about their routes.

  • How: Connects to a portable air quality monitor via Bluetooth, offering continuous real-time monitoring.

  • Tech: Employs IoT technology and low-energy Bluetooth connectivity, with edge computing for rapid data processing and alerts.

This storyboard depicts persona Harper and his cycling group using the Trail Angel app to navigate and adapt their biking routes in response to varying air quality levels by using the AQI Alert MVP.

This storyboard depicts persona Harper and his cycling group using the Trail Angel app to navigate and adapt their biking routes in response to varying air quality levels by using the AQI Alert MVP.

This storyboard depicts persona Harper and his cycling group using the Trail Angel app to navigate and adapt their biking routes in response to varying air quality levels by using the AQI Alert MVP.

Wildfire Prediction

Wildfire Prediction

Wildfire Prediction

Employs machine learning to predict fire risks, helping users plan safer outdoor activities.

  • What: Predicts potential wildfire risks and their impact on air quality for specific areas.

  • How: Uses machine learning algorithms to analyze historical wildfire data, weather patterns, and current conditions.

  • Tech: Implements advanced machine learning models (e.g., Random Forests, Neural Networks) trained on extensive historical datasets, with cloud-based processing for real-time predictions.

Employs machine learning to predict fire risks, helping users plan safer outdoor activities.

  • What: Predicts potential wildfire risks and their impact on air quality for specific areas.

  • How: Uses machine learning algorithms to analyze historical wildfire data, weather patterns, and current conditions.

  • Tech: Implements advanced machine learning models (e.g., Random Forests, Neural Networks) trained on extensive historical datasets, with cloud-based processing for real-time predictions.

The following storyboard outlines Judy’s journey of using the Trail Angel app to navigate air quality challenges while training for a marathon by using the wildfire prediction MVP.

The following storyboard outlines Judy’s journey of using the Trail Angel app to navigate air quality challenges while training for a marathon by using the wildfire prediction MVP.

The following storyboard outlines Judy’s journey of using the Trail Angel app to navigate air quality challenges while training for a marathon by using the wildfire prediction MVP.

Prototype

User Flow

User Flow

User Flow

We developed a straightforward user flow, integrating extensive data content into a seamless experience. The information architecture was carefully crafted to ensure easy navigation and content accessibility.

We developed a straightforward user flow, integrating extensive data content into a seamless experience. The information architecture was carefully crafted to ensure easy navigation and content accessibility.

We developed a straightforward user flow, integrating extensive data content into a seamless experience. The information architecture was carefully crafted to ensure easy navigation and content accessibility.

Make a Trail Plan

Detour a Trail

Change a Trail Plan

Information Architecture

The IA was designed from the ground up, inspired by insights gathered during the MVP development phase.

The IA was designed from the ground up, inspired by insights gathered during the MVP development phase.

The IA was designed from the ground up, inspired by insights gathered during the MVP development phase.

Problems Fixed

Problems Fixed

Problems Fixed

  1. Navigation Efficiency

    Clear hierarchy from home page to specific functions.


  2. Content Accessibility

    Inclusion of search filter and planned trails pages.


  3. User Engagement

    Enhanced personalization through a profile page.

  1. Navigation Efficiency

    Clear hierarchy from home page to specific functions.


  2. Content Accessibility

    Inclusion of search filter and planned trails pages.


  3. User Engagement

    Enhanced personalization through a profile page.

  1. Navigation Efficiency

    Clear hierarchy from home page to specific functions.


  2. Content Accessibility

    Inclusion of search filter and planned trails pages.


  3. User Engagement

    Enhanced personalization through a profile page.

Wireframe

Valuable Lessons

Valuable Lessons

Valuable Lessons

  1. User Interaction Flow

    Visualizing how users will move through the app


  2. Feature Relevance

    Assessing the placement and utility of features


  3. Design Feasibility

    Evaluating the practicality of implementing planned features

  1. User Interaction Flow

    Visualizing how users will move through the app


  2. Feature Relevance

    Assessing the placement and utility of features


  3. Design Feasibility

    Evaluating the practicality of implementing planned features

  1. User Interaction Flow

    Visualizing how users will move through the app


  2. Feature Relevance

    Assessing the placement and utility of features


  3. Design Feasibility

    Evaluating the practicality of implementing planned features

Iteration

Usability Testing

We conducted thorough usability tests with our target audience, observing their interactions with the low-fidelity prototype. This phase was crucial in refining the app's usability and ensuring it meets and exceeds user expectations for functionality and experience.

We conducted thorough usability tests with our target audience, observing their interactions with the low-fidelity prototype. This phase was crucial in refining the app's usability and ensuring it meets and exceeds user expectations for functionality and experience.

We conducted thorough usability tests with our target audience, observing their interactions with the low-fidelity prototype. This phase was crucial in refining the app's usability and ensuring it meets and exceeds user expectations for functionality and experience.

What We Gained

What We Gained

What We Gained

  1. Clarity and Purpose

    The redesign clearly highlights the app’s dual focus on trail planning and air quality, quickly orienting new users.


  2. User Engagement

    By emphasizing interactive elements like the “Create a New Trail Plan” button and featuring top trails, the interface boosts user interaction.


  3. Optimized Design
    The updated layout removes clutter and negative messaging, enhancing visual appeal and promoting positive user interactions.

  1. Clarity and Purpose

    The redesign clearly highlights the app’s dual focus on trail planning and air quality, quickly orienting new users.


  2. User Engagement

    By emphasizing interactive elements like the “Create a New Trail Plan” button and featuring top trails, the interface boosts user interaction.


  3. Optimized Design
    The updated layout removes clutter and negative messaging, enhancing visual appeal and promoting positive user interactions.

  1. Clarity and Purpose

    The redesign clearly highlights the app’s dual focus on trail planning and air quality, quickly orienting new users.


  2. User Engagement

    By emphasizing interactive elements like the “Create a New Trail Plan” button and featuring top trails, the interface boosts user interaction.


  3. Optimized Design
    The updated layout removes clutter and negative messaging, enhancing visual appeal and promoting positive user interactions.

Final Delivery

After an extensive journey through problem statement, research, ideation, prototype, user-testing, and visual design, we present the final delivery for Trail Angel:

After an extensive journey through problem statement, research, ideation, prototype, user-testing, and visual design, we present the final delivery for Trail Angel:

After an extensive journey through problem statement, research, ideation, prototype, user-testing, and visual design, we present the final delivery for Trail Angel:

Make Trail plan

Create personalized outdoor trail plans with integrated air quality considerations

Create personalized outdoor trail plans with integrated air quality considerations

Create personalized outdoor trail plans with integrated air quality considerations

On-time Information

The air tracker detect the air quality and the Trail Angel receive real-time air quality alerts and updates

The air tracker detect the air quality and the Trail Angel receive real-time air quality alerts and updates

The air tracker detect the air quality and the Trail Angel receive real-time air quality alerts and updates

Detour A Trail

Adjust routes on-the-go based on changing air quality conditions

Adjust routes on-the-go based on changing air quality conditions

Adjust routes on-the-go based on changing air quality conditions

Change A Trail Plan

Access predictive information about potential wildfire risks and air quality changes

Access predictive information about potential wildfire risks and air quality changes

Access predictive information about potential wildfire risks and air quality changes

Benefits

Health Protection

Real-time air quality data helps users avoid areas with poor air quality, reducing exposure to harmful pollutants.

Real-time air quality data helps users avoid areas with poor air quality, reducing exposure to harmful pollutants.

Real-time air quality data helps users avoid areas with poor air quality, reducing exposure to harmful pollutants.

Enhanced Safety

Alternative route suggestions ensure users can continue their activities safely when conditions change.

Alternative route suggestions ensure users can continue their activities safely when conditions change.

Peace of Mind

Predictive tools and alerts allow users to enjoy outdoor activities without constant worry about air quality changes.

Predictive tools and alerts allow users to enjoy outdoor activities without constant worry about air quality changes.

Enhanced Safety

Alternative route suggestions ensure users can continue their activities safely when conditions change.

Peace of Mind

Predictive tools and alerts allow users to enjoy outdoor activities without constant worry about air quality changes.

Reflection and Future Steps

The development of Trail Angel highlighted the critical importance of user-centric design in addressing complex environmental challenges.

Key learnings include:

  • The power of precise market segmentation in tailoring features to user needs

  • The importance of integrating diverse data sources for comprehensive environmental monitoring

  • The potential of machine learning in enhancing predictive capabilities for outdoor safety


Future developments will focus on:

  • Enhancing the app's predictive capabilities through more advanced machine learning models

  • Expanding the network of compatible IoT devices for more granular air quality monitoring

  • Developing partnerships with outdoor recreation organizations to broaden the app's reach and impact