Kelvin Introduces a new visual language for
understanding the weather.
Kelvin makes the forecast easier to understand by focusing on qualitative meteorological data, integrating adaptive behavioral technology, and re-introducing the weather caster to the digital world. These features allow for improved awareness and understanding of the weather as it occurs in every-day life.
In order to bring about all of these positive changes, Kelvin focuses on several key design touchpoints, including clear and straightforward system branding, revised weather iconography, 3-part forecasts, qualitative weather descriptions, educational forecasting, calendar integration, event-specific forecasting, news-network sync-up, daily reports, confidence levels, instructional weather alerts and alternate forecasts.
The idea for Kelvin came from a series of discussions between myself and Greg Fishel, the lead meteorologist at WRAL in
"Weather apps are everywhere nowadays, but having access to more weather information doesn't mean that we understand it any better. It's possible that our understanding of the weather has diminished as a result of information-overload. What most doesn't people don't realize is that weather casters broadcast the weather with a sense of perspective. They sift through the barrage of weather data and focus on the information that's most important for their viewing area to know."
Due to an overwhelming amount of available weather data and a lack of perspective, people are misunderstanding the data they receive. These misunderstandings have lead to problems ranging in severity from delayed shipments and economic downturn to damage to property and loss of human life.
Combatting these misunderstandings took three main steps:
- Identify the types of information people misunderstand the most (and why they misunderstand them).
- Define a user group.
- Develop a solution that works to prevent these misunderstandings from occurring and provides users with something they don't already have.
Exploring the Research Area
From the original base of data I created a map of topics related to weather misunderstanding.
Defining an Audience
To better frame the issue, I created a range of personas and scenarios that would theoretically interact with Kelvin. The middle two personas were chosen as a group from which to obtain a more specific target audience.
Synthesizing the Data
Using this target audience in combination with the earlier-defined main touchpoints, I ideated a variety of different solutions that would become design focus areas for the new weather system.
To learn more about Kelvin, download the process booklet by clicking the button below.
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