Internship | April - August 2024

Internship | April - August 2024

Tealwaters: Wetlands Mapping Tool

Tealwaters: Wetlands Mapping Tool

Tealwaters: Wetlands Mapping Tool

Overview

Tealwaters is a project funded by the National Science Foundation seeking to provide a breakthrough solution for monitoring wetlands and quantifying their benefits to society using topographic and satellite imagery.


The Wetlands Earth Observatory (WetlandsEO) tool was designed to achieve this goal and assist environmental scientists, conservationists, and policymakers to visualize and analyze wetlands data. This interactive web tool allows users to explore where wetlands are located, assess their ecological functions, and understand potential environmental impacts through a user-friendly mapping interface.


This project was developed during my internship with Tealwaters Wetland Earth Observatory, with sponsorship from the University of Washington School of Environmental and Forest Sciences. During my time working on this project, I helped the team move out of their research and ideation stages through developing and designing a prototype alongside two other interns, visualizing the work done by the Science Research Team while working side by side with the User Research (UXR) Team.

View Final Prototype

Title

UI/UX Design Intern


My Responsibilities

Product Designer, UX Researcher, Prototype Programer


Duration

4 Months


Tools

Figma, Figjam,

Google Suite



Tealwaters is a project funded by the National Science Foundation seeking to provide a breakthrough solution for monitoring wetlands and quantifying their benefits to society using topographic and satellite imagery.


The Wetlands Earth Observatory (WetlandsEO) tool was designed to achieve this goal and assist environmental scientists, conservationists, and policymakers to visualize and analyze wetlands data. This interactive web tool allows users to explore where wetlands are located, assess their ecological functions, and understand potential environmental impacts through a user-friendly mapping interface.


This project was developed during my internship with Tealwaters Wetland Earth Observatory, with sponsorship from the University of Washington School of Environmental and Forest Sciences. During my time working on this project, I helped the team move out of their research and ideation stages through developing and designing a prototype alongside two other interns, visualizing the work done by the Science Research Team while working side by side with the User Research (UXR) Team.

Title

UI/UX Design Intern


My Responsibilities

Product Designer, UX Researcher, Prototype Programer


Duration

4 Months


Tools

Figma, Figjam,

Google Suite



View Final Prototype

Problem

How might we create an interactive earth observatory tool enabling ecologists, conservationists, and policymakers to effectively monitor wetlands, assess their ecological functions, and make data-driven decisions for conservation and restoration efforts?


When assessing pre-existing competitors, our team found interactive tools with access to various datasets regarding the ecological landscape of a specified region, but had poor user interfaces, detracting from the overall user experience. We struggled to understand datasets with unclear descriptions, polygon layers that were difficult to interpret when layered over a basemap, and limited information within certain regions.


We sought to create a user-friendly and well designed tool that incorporated elements that would be useful for a variety of ecological needs.

Project Goals:

• Provide an intuitive user experience for environmental experts to easily navigate and extract insights from the wetlands researched data.


• Incorporate interactive features like map overlays and data layers for a comprehensive understanding of wetland functions.


• Develop a well-functioning and cohesive prototype that could be presented to stakeholders and members of the NSF when appealing for additional project funding.

Research

Interviews

Our User Research team conducted 46 interviews with environmental scientists, policy analysts and other stakeholders with direct experience in wetland research and conservation. These interviews aimed to gather insights into the specific needs and challenges faced by these users when analyzing wetland data.


As they conducted three interview rounds, I sat in on select interviews to assist with note taking, but came away from the experience better understanding the needs of users, which was crucial in developing the next stages of our project.

Key Takeaways from User Interviews

1.

Need for clear and accessible data presentation.

2.

Ability to have customizable data layers

3.

Importance of integrating a variety of data sources for a comprehensive analysis of the selected region.

Our User Research team conducted 46 interviews with environmental scientists, policy analysts and other stakeholders with direct experience in wetland research and conservation. These interviews aimed to gather insights into the specific needs and challenges faced by these users when analyzing wetland data.


As they conducted three interview rounds, I sat in on select interviews to assist with note taking, but came away from the experience better understanding the needs of users, which was crucial in developing the next stages of our project.

Key Takeaways from User Interviews

1.

Need for clear and accessible data presentation.

2.

Ability to have customizable data layers

3.

Importance of integrating a variety of data sources for a comprehensive analysis of the selected region.

Affinity Diagramming

To synthesize the information gathered during interviews, we used affinity diagramming, helping us to categorize the diverse range of insights and identify patterns within the data. Through this process, we identified the importance of a simple and intuitive user interface and the demand for customizable tools that work across different scales. This process helped shape our design direction and prioritize features that would address the users’ pain points.

Users/Personas

We developed the following personas based on our research to better represent the primary users interacting with the tool:

Katie - The Government Ecologist

Role: Katie works closely with government projects and needs tools to analyze environmental data and assess its community impact.


Goal: Use the tool to identify data that would directly affect the people in her community.


Need: Understand how to gather relevant data and meet community-centric project requirements.

Bob - The Tech-Savvy User

Role: Bob is more of an independent user and prefers to use tools for his own personal research and deeper analysis.


Goal: Track wetland locations over time, focusing specifically on environmental impacts.


Need: Navigate datasets to assess changes in wetlands and their effects on groundwater recharge.

Katie - The Government Ecologist

Role: Katie works closely with government projects and needs tools to analyze environmental data and assess its community impact.


Goal: Use the tool to identify data that would directly affect the people in her community.


Need: Understand how to gather relevant data and meet community-centric project requirements.

Bob - The Tech-Savvy User

Role: Bob is more of an independent user and prefers to use tools for his own personal research and deeper analysis.


Goal: Track wetland locations over time, focusing specifically on environmental impacts.


Need: Navigate datasets to assess changes in wetlands and their effects on groundwater recharge.

These personas helped us design user flows that catered to their specific goals and needs, such as data accessibility and ease of use. We continually referred to these personas during the design process to ensure the tool's features were aligned with the users' requirements.

Wireframing

Our next step was to take the completed research and synthesis and use it to develop our prototype, the main goal of the design team on this project. I began this process by identifying the goals for our tool.

Goals of the Tool

1.

Understanding where the wetlands are, in the present and in the past.

2.

Identify what the wetlands do (flood protection, drought refuge, habitat, etc.)

3.

Pinpoint where we can and should restore the wetlands through identifying their current condition.

4.

Understand how to restore the wetlands through assessing their current condition.

5.

Add additional pre-existing datasets to supplement the data we have.

6.

Show two different scales of the region, at a watershed view and zoomed in.

Our next step was to take the completed research and synthesis and use it to develop our prototype, the main goal of the design team on this project. I began this process by identifying the goals for our tool.

Goals of the Tool

1.

Understanding where the wetlands are, in the present and in the past.

2.

Identify what the wetlands do (flood protection, drought refuge, habitat, etc.)

3.

Pinpoint where we can and should restore the wetlands through identifying their current condition.

4.

Understand how to restore the wetlands through assessing their current condition.

5.

Add additional pre-existing datasets to supplement the data we have.

6.

Show two different scales of the region, at a watershed view and zoomed in.

Prototyping and Iterations

Iteration 1 - Initial Development:

When beginning to develop our wireframes, we worked with our science and user research teams to identify the key features that need to be included in our product. The first step was to create a set of low fidelity wireframes.

We received feedback that the general organization of information in these two low-fidelity wireframes were good, and chose to finalize the following organizational choices when moving forward:

・Keeping the tool bar at the top.

・Combining layer selection, data, and information in one consolidated panel, located on the left instead of the right.

Iteration 2 - Mid-Fidelity Designs

In the next iteration, we began incorporating images of the Snoqualmie Basin developed by our geomorphology and geomorphologist teams, as well as specific layer names and tools provided by our Science team. From a design standpoint, we incorporated elements of the project’s pre-developed style tile into our wireframes, including the logo, colors, and fonts. We additionally sought to improve the overarching user experience during this iteration through the addition of a welcome message.

Upon sharing these frames with our team, we received overwhelming positive feedback, with the majority of feedback focusing on the next steps to take to move further towards our end goal.

Feedback:

・Focus on the three highest priority layers when developing future iterations

・Add novel science functions to reflect emerging user priorities (ex. Flooding Probability, Fish Habitat, Carbon Sequestration Potential)

・Prompt users to upload their own region of interest

Iteration 3 - Prototyping

Our next iteration was developed concurrently with our Round 3 user interviews conducted by the UXR team, where they sought to propose functionalities of the product to potential users, including our wireframes. The UXR team requested us to create interactive prototypes for this stage, which we did through leveraging Figma’s prototyping features and variables. During this stage, we worked extensively with our GIS developer to acquire all of the images that we needed. We needed 2 images for 9 different data layers, one of the entire region and one zoomed in, incorporating 18 total images into our prototype at this stage. 


By this point of our design process, the overall look of our prototype was finalized. We mainly continued redeveloping the prototyping interactions in this stage and debugging our interactions between different frames.

Final Prototype

After 4 months of work on this project, we developed a comprehensive prototype that showcases all of our observed user needs in a user-friendly format.

Our final prototype allows users to view different wetland layers over satellite and street maps, with the ability to zoom in.

Our final prototype allows users to view different wetland layers over satellite and street maps, with the ability to zoom in.


View the final prototype here.

Takeaways

UX design is diverse

This project was one of my first experiences in developing a non-mobile prototype. The projects I had developed in my coursework and extracurriculars had all sought to develop some form of a mobile application, but for Tealwaters, I was exclusively tasked with creating a non-desktop web prototype. I learned about how UX design isn’t just needed strictly within the technology, but within any digital application. The unique background of this project taught me how I can apply the same UX strategies that I employed to develop mobile prototypes in my class projects within a wetland mapping system.


Working within an interdisciplinary team

The team behind Tealwaters was immensely diverse, and I had the opportunity to work one-on-one with forest scientists, GIS specialists, project managers, and software developers. I was able to truly understand the value of each person’s skillsets within the project and strengthened my ability to work within diverse teams like this one.


Confidence in my decisions

As an intern from a non-ecology background, I initially felt as if I didn’t have the jurisdiction to make decisions or propose change. As I understood the value of the diverse backgrounds of the rest of my team, my managers showed me the equal importance of my role. There were no other UX professionals on this project besides my two co-interns and I, and I learned how to advocate for my design decisions and have confidence in my work as a member of this team.