AI-Integrated Water Resource Management
AI-Integrated Water Resource Management
Springard
Springard
Overview
Springard is an AI-Integrated Water Resource Management Tool designed for water-resource engineers to track water conditions and assess development sites before construction. The goal was to create an intuitive, data-driven platform that simplifies complex hydrological data, assisting engineers at consultancies and corporations in making informed decisions quickly and accurately. The MVP version of Springard focused on streamlining project creation and task flows, catering to the needs of water engineer project managers and personnel involved in hydrological projects. This project required a strategic approach to align technical capabilities with user needs and business goals, ensuring a product that delivered both operational efficiency and market value.
Overview
Springard is an AI-Integrated Water Resource Management Tool designed for water-resource engineers to track water conditions and assess development sites before construction. The goal was to create an intuitive, data-driven platform that simplifies complex hydrological data, assisting engineers at consultancies and corporations in making informed decisions quickly and accurately. The MVP version of Springard focused on streamlining project creation and task flows, catering to the needs of water engineer project managers and personnel involved in hydrological projects. This project required a strategic approach to align technical capabilities with user needs and business goals, ensuring a product that delivered both operational efficiency and market value.
My Role
As Product Design Lead & Strategist, I was responsible for the end-to-end design process, including user research, wireframing, prototyping, and final UI design. I worked closely with hydrologists, data scientists, and like-personnel. Additionally, I collaborated with the Venture Lead and UX Research Lead as a strategist, helping to align product goals with business objectives. This involved shaping the product vision, ensuring our design decisions were data-driven, and making sure research insights directly informed both the user experience and broader development strategy.
Project Goals
Simplify complex hydrological data visualization.
Ensure seamless integration of multiple data sources.
Create predictive models that are accessible and interpretable.
Design intuitive task flows to improve project management efficiency.
Integrate conversational AI for enhanced user support and workflow automation.
Project Excerpts
—
Key Features Designed
Project Creation & Task Flow
Simplified workflows for creating projects, assigning tasks, and tracking progress among team members.
Brad AI Chatbot
An integrated conversational AI assistant that helps with data queries, task management, and quick troubleshooting.
Dashboards
Customizable dashboards displaying real-time water data, predictive models, and project statuses.
Results & Highlights
Increased Efficiency
Reduced data processing and project management time by 40%, enabling faster site assessments and improved team coordination.
User Adoption
Achieved a 90% satisfaction rate among beta testers, with engineers highlighting the intuitive interface and powerful task management tools.
Enhanced Workflow
Project managers reported a 35% reduction in time spent on administrative tasks due to Brad AI’s automation capabilities.
Business Impact
Springard’s streamlined design contributed to faster decision-making processes for development companies, reducing project delays related to hydrological assessments and improving operational efficiency.
Conclusion
Designing for a technical audience like water-resource engineers required balancing complexity with usability. By focusing on intuitive project management workflows and integrating conversational AI, we created a tool that met both technical and user experience goals. Future iterations could explore deeper AI integrations and expanded geospatial analysis capabilities.
Final Prototype
View Prototype ->
My Role
As Product Design Lead & Strategist, I was responsible for the end-to-end design process, including user research, wireframing, prototyping, and final UI design. I worked closely with hydrologists, data scientists, and like-personnel. Additionally, I collaborated with the Venture Lead and UX Research Lead as a strategist, helping to align product goals with business objectives. This involved shaping the product vision, ensuring our design decisions were data-driven, and making sure research insights directly informed both the user experience and broader development strategy.
Project Goals
Simplify complex hydrological data visualization.
Ensure seamless integration of multiple data sources.
Create predictive models that are accessible and interpretable.
Design intuitive task flows to improve project management efficiency.
Integrate conversational AI for enhanced user support and workflow automation.
Project Excerpts