Lyft App Waiting Experience Redesign

Date:

January 18, 2023

Role:

UX Designer, UX Researcher

The Lyft App’s bounce rate had increased by 4.8% in the past quarter from October to December 2022 and the active riders decreased 45.41% compared to 2019. To reduce the bounce rate and increase the number of active riders, I come up with solutions that can improve the experience during user waiting for their ride.

Lyft App Waiting Experience Redesign
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Problem

Lyft faces increased bounce rates (4.8% this quarter) and a significant YoY drop in active riders (down 45%), indicating user dissatisfaction, particularly in the ride request flow. To address this, improvements like status updates and countdowns are essential to enhance user experience and prevent rider defections.

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Solution

To tackle Lyft's high rider defections stemming from ride request drop-offs, I'm adopting a three pronged solution involving setting proper wait time expectations through arrival transparency, incentivizing movement to faster pick up zones via map heat-mapping and loyalty rewards, and cooperating with nearby merchants on in-app deals that divert and entertain users during the otherwise dull waiting phase.

The Process

Outcome

  • 1/3 Manage Expectations

Reduce user anxiety while waiting for a ride by increasing the transparency of the arrival process.

  • 2/3 Social Cooperation

Cooperate with merchants to launch discounts from surrounding merchants and seasonal special offers while users are waiting for the car to help users distract and reduce anxiety.

  • 3/3 Boost Engagement

Encourage users to go to areas with more cars by coloring and clearly showing them the nearby areas. Also giving loyalty rewards that can give users who are willing to travel to areas with more cars by offering points and discounts each trip.

Method

01 - Research

  • Secondary Research: Gather existing knowledge from available sources. 
  • User Interview: Understand the context and find out the users' pain points to narrow down the problem.

Secondary Research

The Lyft App’s bounce rate had increased by 4.8% in the past quarter from October to December 2022

According to PESTLE analysis, policy support, social environment, economic level and consumption habits, and technical support are all beneficial to the shared taxi industry. It is estimated that by 2026, the compound annual growth rate of the global carpooling market will be 8.75%, which undoubtedly highlights the huge potential of the shared taxi industry. Demand from users is far from saturated.  However, the shared taxi industry is highly competitive and there are many competitors.With so many competitors, Lyft needs to identify its strengths through user research, market research, and competitor research. We distributed surveys and conducted in-depth interviews and observations to better understand Lyft users.

User Interview

  • Why: We did interview because it can help us to know more about the potential problems in the whole process, and helped us narrow down the problem scope.
  • What: We asked about why users canceled their orders, what they would do while waiting for the vehicle, and what mentality they had.

02 - Analyze

We got 80 responses and found that there are 2 time slots that are most likely to leave the page.

Insights from research

  1. Users feel like they always waited too long to be picked up
  2. It is hard to get a ride sometimes since no driver confirm the order
  3. The price of the ride always cost higher than expected

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03 - Ideation

Before jumping into prototyping, I planned out several screens and layouts by sketching ideas on paper. After figuring out what belongs into every section, I began sketching icons and assets I needed to create for the prototype.

Generate more empathy with users

04 - Solution Explore

  • Before
  • After - Increase Users’ Expectations
  • Before
  • After - Decrease Users’ Anxiety
  • Before
  • After - Increase Social Cooperation and Users' Engagement
  • Apply possible discount

05 Iteration

I came up with 2 design options of where to put the “Reward Applied” banner and the tracking of nearby driver. From the usability test, I found out that the banner in plan1 can better tell the users how their points were used and it is not blocking any sights. Also, I’ve changed the “Time of Arrival” into Lyft’s classic color to better take attention from users.

I designed 2 options of slogans and emojis that can improve the patience of users and motivate them while waiting for a ride. In plan 1, I used a step bar every time an expression appeared, and then looped continuously. In plan 2 I used a step bar that cycles through the colors. In the end plan 2 wins because it is more dynamic, also more concise.

Final Work