Problem: 60% of Australian homes have a tumble dryer. Which means rather than line drying 46 million households are consuming electricity to dry their clothes.
Solution: Removing the guess work of outside drying would cut 330,000 tons of CO2 a year, just by a single household line drying one load per week.
Using data was key in managing the experience. Being able to localise the details on how the line drying was progressing in your backyard would enable a far more accurate reading. Weather data apps only updated every 12 hours but we wanted the device to sends data in real time.
The process of containing all the relevant data sourcing tech in a functional object brought us to housing within an object that was already familiar to people. The simple clothes peg that we called 'Peggy'.
We needed to build a simple yet functional UX allowing people to make more accurate prediction on if line drying was an viable option that day. National weather data and 'Peggy's' data was combined to take the guess work out of the process. This also allowed us to give the user a warning half an hour before if anything changed.