Rider experience for Uber Airport rides is down in the last 6 months. What would you do?

  Uber
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Answers (2)

Context

Before we dive into figuring out what’s going on, let’s just make sure we understand the bigger context. Uber itself is a ride sharing company where users via a mobile app request rides from point A to point B which are then accepted and fullfilled by drivers on the platform with Uber getting a cut. As a company Uber’s mission is to make transportation as reliable as running water and Uber in the context of the airport helps provide transportion itself to the airport and then it also secondarily makes flying itself more accessible by doing that.

 

Clarification

Now that we understand the context, let’s make sure we understand the question properly. I have a few questions / points in that regard:

  1. When we say rider experience is down, how exactly are we measuring rider experience? What metric or set of metrics is being used? (Probably end of ride survey responses)
  2. What is the maginute of the drop we are witnessing? 2% vs 20% are completely different. We should also confirm that this drop is statistically significant.
  3. Going to make the assumption that we are confident in the accuracy of our data. Nothing is more heart wrenching than finding a bug in the reporting or collection of data you’ve been using to guide your decision making.
Honing in on the issue
Right now we have a general observation, let’s see if we can try to hone in on the issue or isolate it further by asking some questions:
  1. We said it was down over the last 6 months. Did this gradually decline continuously over the last 6 months or was there a sharp drop?
  2. Is this uniform across geographies, or are there particular cities/countries where the drop is more or less prevalent? (Probably want to control for the number of airports when looking at this)
  3. Is the drop uniform across various user demographics and user segments? For example, Uber Pool vs Uber Black, Young Riders vs Old Riders, New Sign Ups vs Power Users? To the airport or from the airport?
  4. Any disparity amongst technologies or platforms? iOS vs Android? App versions?
Potential Causes
With answers to the above questions we can hone in on the issue further and brainstorm some potential causes tailored to what’s happening. We don’t have the answers so let’s just brainstorm some generic potential causes and more importantly how we would validate them.
Internal (Things we did to ourselves)
  1. Product Changes
    • Could we have made the UI clunkier or harder to understand for Airport specific use cases? For example, maybe we made it harder for users to designate which terminal they are flying out of and need to be dropped off at. — We would examine the product release notes around the time the drop started happening and look for anything related to airports. If possible look at A/B test results for UX data related to any suspicious release.
    • Did we introduce any bugs in recent releases? Maybe a bug is causing our routing to function poorly in situations with many overlapping roads which is common in airports — Ask QA/Dev about any known bugs which might be relevant and examine pieces of functionality touched by recent releases.
  2. Have we released any new marketing campaigns that could be misleading users or giving them unrealistic expectations? For example, if we are using a tag line like “Book an Uber, make your flight with time to spare!” then I could see users being upset with us if they miss their flight whereas in reality that may be out of our control.
  3. As of the last 6 months, are we surge pricing users in airports more than previously? If riders expect a 30 minute ride to cost X dollars, but we are charing them 2X they are not going to be happy about it. — I would look at the percentage of airport rides that were surge pricing rides over time.
External (External forces at play)
  1. Could there have been new laws or regulations passed in regards to how ride shares are facilitated within the confines of an airport? For example, maybe now ride share drivers are only allowed up to 5 minutes of idle time before they must drive off which might result in users missing their rides. — I would use google to search for recent regulation changes.
  2.  Could airport ride demand gradually outpaced ride supply leading to longer wait times and worse user experiences? — I would examine the average wait time of users near airports.
Summary
We’ve observed a drop in rider experience around airports in the last 6 months. First we want to understand what metrics we are using to describe this drop and then we can try to isolate this futher by looking at a few different elements such as: rate of decline, geography, platform type, and user segments. When we’re able to isolate what we’re observing further we’ll have a better sense of just what the cause is but we’ve gone head and proposed several pontential causes and ways to either validate or invalidate them.

Clarifying questions

  1. By uber airport rides you are referring to the rides booked by users from the airport to their destinations. Is that understanding correct?

–       Yes

  1. How do we measure rider experience? Is it a singular metric or a basket of metrices to gauge rider experience?

–       We measure rider experience as a basket of metrices but for the sake of this question let’s consider a singular metric which went down in the last 6 months. The metric is “average rider rating”.

  1. How do you define average rider rating?

–       Average rider rating is defined arithmetic mean of all rider ratings given by users after completing a ride from airport.

  1. May I know the actual fall in rating?

–       Average rider rating for airport rides has gone down from 4.6 to 4.2 over the last 6 months which is around a 9% dip.

  1. Has there been any change in the definition of average rider rating in the last 6 months?

–        No

  1. As far as I know, uber airport ride fleet consists of primarily cars  in categories like SUV, sedan, hatchback etc. Have we added any new category of vehicle or the problem exists in the car category?

–       We haven’t added any new vehicle categories. The problem exists in car category.

  1. In Car category itself, is the problem particularly persistent in sub-category like sedan or SUV or hatchback etc. ?

–       No. Problem is common across all sub-categories

  1. Is the average rider rating down for any particular geography?

–       India

 

  1. Has the decline been gradual over the last 6 months  or a sudden dip has been observed lately?

–       Gradually declining over the last 6 months

  1. Is the avg. rating going down for a particular segment?

–       No.

  1. As the decline is gradual over a period of 6 months, I am going to rule out the possibility of the issue being specific to either android/iOS as device specific issues could be mostly related to a bug and hence would have been eliminated earlier.

–       Fair enough

  1. Were there any major launches in the last 6 months in the rider app?

–       No major launches

 

Based on the responses so far, I have a few hypotheses on why the average rider rating might be going down.

H1: Poor rider experience could be a function of price wherein most of such rides are booked at a surge price due to lower availability of cabs.

H2: Average wait time for onboarding cabs have increased due to a constrained supply thereby leading to a poor experience.

H3: ETA has been violating for most of the rides.

H4: Safety related issues leading to poor experience.

H5: Drivers demanding for extra cash to avoid cancellation of rides.

H6: Uncomfortable ride due to poor vehicle conditions.

 

I would like to further evaluate these hypotheses to understand which of these could be the most probable reason.

H1: If data suggests that avg. rider rating has gone down for rides booked in a specific hour range then this could be a very plausible reason as due to supply constraint most of the rides would fall under surge. So, even though users would take a ride because of limited options, surge pricing would make them give a poor rating. Consider.

 

H2: Recently,  it has been observed in general that the average wait time for cabs has increased especially in metros due to limited supply. If data suggests that avg. rider rating has gone down for a few states with larger booking volumes then this could be a valid hypothesis. Consider.

 

H3: This does not seem to be a strong reason for drop as the ETA violation would be depend upon factors like bad weather, unexpected road blocks which have limited occurrence and would not impact rider experience over such a long duration. Reject.

 

H4: Similar to H3, safety related issues would not be frequent across different geographies. Hence, this does not qualify for a strong hypothesis. Reject.

 

H5: Asking for direct cash payment instead of Uber cash has been a trending phenomenon across different states in India. This could be a valid hypothesis in case drivers have started to ask for extra cash to compensate for the commission given to the platform. Consider.

 

H6: Similar to H3 and H4, poor maintenance of vehicles cannot be a widespread phenomenon. Reject.

 

To summarize, rider experience of Uber airport rides might have gone down in the last 6 months because, of one or more of the following reasons

  1. Airport cabs booked due to price surge during peak hours
  2. Increase in average wait time for onboarding cab
  3. Demand of extra cash by drivers to compensate for platform commission