How to ensure passengers at JFK airport have a good pickup experience?


Overview: 

This project lasted 5 weeks and was completed through the summer 2015 MFA IxD Program at SVA working with Uber's Head of Research. Also, Uber Implemented many of our features.

Collaborator:

Celine Chen, Allison Heasley, Alberto Chen, and Ning Xu

My Role:

 

I worked as UX Designer, User Researcher and Design strategist in a four designers team with Celine, Allison, Alberto, and I. My role was a debriefer, and my job was to ask a lot of questions, and analyze and synthesize the research data to come up solutions for the design. 


Background

When your Uber car arrives at the airport, how do you know which one is yours without hopping into the wrong car? How many times have you held up your phone to match the photo with the same car approaching you? How to bridge the gap between the Uber app and drivers and passengers to ensure a better pickup experience? The problem we identified that there are issues of distrust in the accuracy of the application, the Uber systems that create a sense of uncertainty in the entire pick up experience between the driver and rider.


Design Process

DISCOVEr

From research and conversations, I found there was a fundamental issue of distrust in the accuracy of the application, the Uber systems, and between the driver and rider – creating a sense of uncertainty about the entire process.

Field Interview at JFK AIRPORT

Interview with the Uber Driver

Interview with the Uber Driver

v\:* {behavior:url(#default#VML);}
o\:* {behavior:url(#default#VML);}
w\:* {behavior:url(#default#VML);}
.shape {behavior:url(#default#VML);}


 
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Car arrangements to ensure optimal quality of data capture


DEFINE

To deeply understand the problem, I worked on affinity mapping, grouped pain points to review the trend patterns and differences in problems in different contexts.

Affinty mapping

  1. Broke interview notes into smaller ones in order to make sense
  2. Combined multiple pieces into something new, e.g.: development themes, implication, opportunities
Similarities in Responses

Similarities in Responses

Differences in Responses

Differences in Responses


DESIGN

Driver user flow

IMG_4102.JPG
 
 

Rider user flow

IMG_4102.JPG
 
rider user flow1.png
 
 
 

Deliver

Solution for increasing trust

Assisting Riders in Visual Recognition of Vehicle

  • Display name
  • Car number

Managing Expectations and Creating Transparency

  • Visibility about wait time
  • Prompts and relevant information to rider

Improving Technology

  • Install iBeacons*
  • UI modification (including terminal maps)

Standardizing Communication

  • Preset texts
  • Vibration Alerts

*iBeacons is  Apple's implementation of Bluetooth low-energy (BLE) wireless technology to create a different way of providing location-based information and services to iPhones and other iOS devices.


The prototype maintained the Uber original UI design 2015 and added features from user research to solve drivers' and riders' pain points. Also, Uber Implemented many of our features.

App for Uber drivers

App for Uber drivers

App for Uber passengers

App for Uber passengers