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Product Management Improvement Question: Uber app waiting screen with decreasing cancellation rate graph

Asked at Uber

15 mins

What are your solutions to reduce the car cancellation rate on the Uber waiting page?

Product Improvement Hard Member-only
Problem-Solving User Experience Design Data Analysis Transportation Technology Gig Economy
Product Improvement Data Analysis User Retention UX Design Ride-Sharing

Introduction

To address the challenge of reducing the car cancellation rate on the Uber waiting page, I'll approach this systematically. We'll explore user segments, analyze pain points, generate solutions, and prioritize our approach. Let's dive in.

Step 1

Clarifying Questions

  • Looking at the product context, I'm thinking about the specific stage in the user journey where cancellations occur. Could you clarify if we're focusing on cancellations during the initial wait time after requesting a ride, or does this include cancellations up until the driver arrives?

Why it matters: This helps us pinpoint the exact pain points and user behaviors we need to address. Expected answer: Focusing on cancellations during the initial wait time after requesting a ride. Impact on approach: We'd prioritize solutions that engage users during this critical waiting period.

  • Considering user behavior, I'm curious about the current average wait time before cancellation. Do we have data on how long users typically wait before deciding to cancel their ride?

Why it matters: This information is crucial for setting realistic goals and designing effective interventions. Expected answer: Users typically cancel after 3-5 minutes of waiting. Impact on approach: We'd focus on strategies to keep users engaged during this critical time window.

  • Thinking about external factors, I'm wondering about the competitive landscape. How does our cancellation rate compare to our main competitors, and are there any industry benchmarks we should be aware of?

Why it matters: This context helps us understand if this is an industry-wide issue or specific to Uber. Expected answer: Our cancellation rate is slightly higher than the industry average. Impact on approach: We'd look at successful strategies from competitors while innovating unique solutions.

  • Considering company alignment, I'm interested in understanding the broader impact of cancellations. Beyond the immediate loss of a ride, how do cancellations affect our key business metrics like user retention and lifetime value?

Why it matters: This helps us frame the problem in terms of overall business impact. Expected answer: High cancellation rates significantly impact user retention and reduce average lifetime value. Impact on approach: We'd prioritize solutions that not only reduce cancellations but also improve long-term user engagement.

Pause for Thought Organization

I'd like to take a moment to organize my thoughts before moving on to the next step. This will ensure a structured and comprehensive approach to our solution.

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