AI-Integrated Water Resource Analysis
AI-Integrated Water Resource Analysis
Springard
Springard
Overview
Springard is an AI-Integrated Water Resource Analysis Tool designed to help water-resource engineers to track hydrological conditions and assess development sites before construction.
The MVP focused on streamlining project creation and task flows for water engineering consultancies and corporate teams, ensuring operational efficiency while aligning with technical and business goals.
Overview
Springard is an AI-Integrated Water Resource Analysis Tool designed to help water-resource engineers to track hydrological conditions and assess development sites before construction.
The MVP focused on streamlining project creation and task flows for water engineering consultancies and corporate teams, ensuring operational efficiency while aligning with technical and business goals.
My Role
As Product Design Lead & Strategist, I was responsible for the end-to-end design process, including brand concept and design, user research, wireframes and final hi-fidelity prototype. I worked closely with SMEs including 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 helping to shape product vision, ensuring design decisions were data-driven, and ensuring that 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
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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 brand concept and design, user research, wireframes and final hi-fidelity prototype. I worked closely with SMEs including 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 helping to shape product vision, ensuring design decisions were data-driven, and ensuring that 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