Winter 2014 was a special brand of hell in Boston. Record snowfall led to record delays and cancelations for the city’s transit system. While experts estimated that it might take billions to fix and maintain the country’s oldest public transport system, we did not have billions.
User journey mapping
Native app design
Instead of fixing the MBTA, our team set out to design something that could ease the pain of a public transportation system that always seemed destined to fail. To do this, we concepted the first predictive commuter-focused application: DELAID.
We designed DELAID to use machine learning to factor weather, time of day, and a growing archive of arrival data to help commuters better anticipate and plan for when their trains and buses might be delayed. Built specifically for the daily routine of commuters, DELAID streamlined the traditional map way-finding experience, into a system focused 100% on getting you from point A to point B on time, every time.
HDM-Breas Consumer App