Helping you move what matters
In times of emergency situations, whether it’s during a natural or technological disaster, mobility is a major issue. Some mobility issues comes in the form of evacuation needs and transferring of disaster relief goods (e.g. water, food, supplies, etc) to affected communities.
After an act of violence such as shootings, demand for transportation is higher than a typical day. This makes it difficult to meet increased customer demand and help people in these situations.
How might Uber utilize mobility as a strength for the local community during times of need?
Donors can make a donation during any disaster using the Uber Aid platform. Uber will notify all their existing users about the new Uber Aid platform. Uber will match the listed donations on the platform with the organizations in need.
An organization can search for different types of donations depending on the disaster situation. Once they find a suitable match, they can submit a request to the donor to have it delivered at their organization.
After the organization finds a donation that matches their requirement, the driver will submit an Uber Aid request to collect relief resources from the donor and drop it off at a designated location selected by the other parties.
Communication, connectivity, and community integration is pivotal in emergency situations.
Companies and organizations all fell into one of the following categories: an organized group of volunteers or orgs focused on disaster relief, the government, a corporation utilizing their current infrastructure, or a newly formed emergent group wanting to help their community.
After Action Report of the Aurora Bridge incident showed that donations were not handled well and was a major area that needed improvement. This finding in the after action review influenced Uber Aid’s designs.
Building on work from competitive analysis, dimensional analysis helped scope and create better understanding of this design space and determine where Uber could fit. Primary focus was on features and products that have supported emergencies in the past. This analysis informed two possible directions to pursue with Uber Aid.
These low-fidelity prototypes were tested with Uber drivers, potential donors, and members of non-profit organizations.
Drivers want minimal information when they are accepting an Uber Aid request. This led us to prioritize information to be shown for them. The participants felt the flow for donors to be long. This led us to reduce the number of screens by batching similar actions together to simplify it. Uber’s design team felt it was important that the donor flow support multiple donations. Therefore, we updated the functionality to create multiple requests for donation simultaneously.