As products mature, we tried to better anticipate our users’ needs by providing predictive and assistive features, based on usage patterns and machine learning. Two examples I was involved in were the Google Assistant for Maps and the Google Drive Instant file access.
In Google Assistant for Maps, we focused on providing a light-weight information card as a companion to the chat conversation with Assistant. This was necessary to provide a richer context when looking at a number of options for where to go. The Google Assistant cards gave our users the flexibility to interact with Google by voice or touch without having to open Google Maps.
In Google Drive, navigating through the file directory was cumbersome on mobile devices. We used historical data and machine learning to predict the files a user is likely to open next with a high degree of accuracy. This led us to introduce an Instant File Access carousel at the top of the Drive home screen, reducing the need for users to navigate through their file directory. This feature proved so popular we extended it to the desktop.
Role: Design Lead / Manager