We initially decided the best way to break down weather data into atomic components to align with the use cases of our archetypes. People's level of data required depended on how invested they were and how impactful their decisions were going to be. Someone deciding to take an umbrella on their daily commute needed less information delivered faster than someone planning a weekend hiking trip. We named these components bites, glances and snapshots. Each component fit nicely into the other. A bite was the smallest piece of weather data – a temperature, a wind speed etc. And glance was a combination of bites that enabled someone to understand the weather situation at a glance. And a snapshot was a series of glances that enabled a user to gain a better understanding about a the bigger picture. It was also important to provide ease of access between these, so users could delve deeper into the each with a simple click.
