What metrics will you use to measure the success of Uber? [Uber PM Ques]

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Interviewer: What metrics will you use to measure the success of Uber?

  • Convenient booking
  • Live tracking and easy location sharing
  • Online/offline mode of payments
  • Multiple options — Uber Rentals, Uber Go, Uber XL etc.
  • Flexible working hours
  • Low idle time
  • Good source of income
  • Transparency in payment
User journey of driver
  • Accept more rides
  • Reject/Cancel fewer rides
  • Ensure better driver rating by improving service
User journey of rider
  • Book more rides through the Uber app.
  • Cancel fewer rides
  • Provide feedback and rating of the driver
  1. Retention metrics: This information denotes the retention rate of the app. If the business is able to retain long-lasting connections with its customers they become loyal to the brand and help in word of mouth promotions.
  • User stickiness: Ratio of daily active users to monthly active users. Here it makes more sense to use a period of 15 days instead of a month. This will allow us to track how likely users are to return to the platform.
  • Daily Sessions Per Daily Active User: Ratio of no of daily sessions and the number of daily active users.
  • Return on Investment: The average money spent by the business to convert every single user, this can also be thought of as the cost of conversion.
  • Average Revenue Per User (ARPU): The amount of revenue an average user generates at a given point in time.
  • No. of app crashes reported: App crash is the abrupt shutting down of an app which can lead to users churning from the application. The app should be free from crashes.
  • Average App Store rating: This plays an important role in app growth as it serves as social proof to indicate the app’s quality of service. It is measured out of 5 and the higher the better.
  • Average Load Time Per Session: This indicates the amount of time it takes for the application to become fully accessible to the user after they have started the session.
  • Daily sessions per daily active user might not give us a complete picture as even though a user might log in and try to book a ride he might not be able to successfully find a ride. Even after booking the ride, the driver might cancel the ride. So a high daily session might not be a positive indicator.

Interviewer: It was a great discussion. Thank you. 

-- Technomanagers

Comments

  1. By guiding me away from congested areas, connectsmart ensures that I always arrive at my destination promptly. You can understand why ConnectSmart is an essential tool for regular commuters with its real-time traffic reports and alternative route recommendations!

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