
Climate Ai
a web application that empowers agricultural professionals by providing accurate weather forecasts and alerts for various regions. With its user-friendly interface and detailed data, it helps clients optimize their operations and mitigate the impacts of climate variability.
Overview
ClimateAi is a web application designed to revolutionize decision-making in the agricultural sector. Initially created by a team of five people, it has grown to become a global reference tool. ClimateAi provides businesses with detailed weather and climatological forecasts for different regions, allowing them to plan their activities more efficiently and reduce risks. The application features a robust alert system that notifies users of various weather events, enabling timely and appropriate responses. With numerous tables and accurate data, ClimateAi positions itself as an essential tool for agricultural professionals looking to enhance their productivity and adaptability in the face of climate change.



Services
The Problem
Managing an overwhelming amount of information distributed across numerous tables and hundreds of alerts, each with different thresholds and configurations for various regions, posed a significant challenge.
The Goal
The goal was to simplify this complex data, making it easy for users to navigate and utilize effectively.
My Role and Responsibilities
I was responsible for providing UX and UI design, assisting in research and defining user personas, and overall UX design to transform the vast array of information into a user-friendly application with an intuitive interface and seamless user experience.
User Definition
Data Integration
To understand the needs of agricultural professionals, I conducted user interviews and engaged with key stakeholders at the startup, giving me access to crucial decision-makers. I also reviewed numerous best practices and benchmarks, and employed techniques such as card sorting and customer journey mapping.
Through this comprehensive approach, I identified that farmers and agricultural consultants were overwhelmed by complex data and desired a more streamlined, user-friendly application. They sought customizable alert systems tailored to their regional needs and an intuitive design that simplified data navigation and reduced information overload.




Design Steps
Quick Sketches
I use quick sketches, either on paper or digitally, with Figma being my current tool of choice.
However, I can work across various platforms. These sketches are instrumental in defining functionality, user hierarchy, and relevance before investing time in detailed visual refinement. I share these initial sketches with stakeholders and the development team to make swift and creative decisions collaboratively.



First Iteration
In the first iteration, we were constrained to use Material Design due to limited budget and developer resources, which restricted design options. Despite these limitations, through various prototypes, testing and iteration we successfully launched our initial version. This version provided valuable insights and set the foundation for further improvements.




They invested in us! Let's try it one more time!
After the first iteration, we secured additional funding and expanded the team, allowing us to move beyond the constraints of Material Design.
We were now able to create custom components from scratch. Extensive testing revealed how to enhance our data tables and identify what information was most relevant to users. Additionally, we started utilizing data collected from real users almost daily, enabling us to make informed, user-centered improvements.



Thanks to my design process, which was rooted in Design Thinking, Lean UX, and the Double Diamond framework, I was able to revisit and iterate on the project as needed.

4 Years later...
Over the past four years, since ClimateAi's initial creation attempt, we've learned extensively and evolved significantly. Through user interviews, video recordings, heat maps, and navigation time analysis, we've developed an outstanding version of ClimateAi, with a journey still ahead.



