The Aquasys water observatory is an AI-enhanced platform that helps communities monitor and anticipate environmental data such as floods, droughts, and water quality. The interface was outdated, slow, and difficult to use - especially for non-technical users.

The water observatory combines data visualization and predictive modeling to support sustainable water management. While Aquasys pioneers AI applications in water tech, the existing interface struggled to make these intelligent insights accessible and actionable for a wide range of users.
Improve the usability and perceived value of the observatory web platform while differentiating it from competitors and making AI-powered indicators more understandable and transparent.
Make complex, AI-generated environmental data accessible and intuitive for both technicians and elected officials.
Improve performance and navigation without rebuilding the platform from scratch, while maintaining compatibility with existing data and prediction models.
Modernize the visual identity while preserving Aquasys’s credibility as a leader in applied AI for sustainable water management.
- 6 semi-structured interviews with technicians and decision-makers
- 1 online form with 4 UX evaluation scales (DEEP, meCUE, UMUX-Lite, NPS)
- Analysis of IT support tickets and existing pain points
- Ergonomic audit of the existing interface
- Competitive benchmark of water management and AI-driven analytics tools
- Synthesis of findings into user needs and design opportunities
- Co-design workshops to ideate and prioritize improvements
- Wireframing and prototyping in Figma
- 6 usability tests on high-fidelity prototypes to validate solutions
The structure is complex and non-intuitive, especially for decision-makers.
Slow loading times affect the overall user flow and confidence.
Visualizations are difficult to interpret and lack customization, limiting understanding of AI-based forecasts.
A simplified, more intuitive interface allowing users to quickly access, understand, and act upon AI-powered environmental insights.The redesign improves transparency and usability of predictive indicators, supporting better, faster decision-making.



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