Vlad Ligier
Project Overview
A data analytics platform was designed to help organizations monitor climate-related risks using geospatial insights. The system combines real-time data with historical analysis, enabling users to track environmental changes and integrate insights into their strategic planning.
Problem & Goals
Industries needed a way to respond to climate risks proactively, but lacked accessible tools for analyzing environmental data at scale. The goal was to build a platform that simplifies climate data interpretation and supports decision-making through intuitive, interactive reporting.
Process & Solution
Defined user goals and data flows through discovery workshops
Created high-fidelity wireframes for complex analytics
Set visual direction with a style guide and clear data presentation
Designed layouts for filtering, comparisons, and scenario views
Delivered prototypes to validate interactions with stakeholders
Outcomes & Metrics
Delivered a GIS-based application with strong analytical capabilities
Supported integration of climate risk data into organizational strategy
Created a scalable design system for expanding future functionalities
Early user feedback highlighted improved accessibility of complex data and better decision-making confidence
Next Steps
Although the platform was not launched, we tested key screens with target users to validate core assumptions around navigation, data comprehension, and filtering logic. Planned next steps included analyzing user feedback from prototype testing, monitoring interaction flows in a pilot environment, and refining the structure of scenario comparison tools. The goal was to prepare the product for implementation by prioritizing usability improvements and ensuring the interface supports confident, data-informed decisions.
Client:
NDA
My Role:
Product Designer
Year:
2021
The platform concept aimed to address the challenge of climate change and biodiversity monitoring by equipping users with advanced analytical tools. It was designed to help organizations track environmental indicators, identify long-term trends, and support data-informed decision-making for risk reduction and sustainability planning.
