Recent Lyft Interview Questions

Unicorn 2. - "Here is what I understand from the question. Riders use "scheduled rides" to schedule rides for upto 24 hours in advance. Do drivers see these scheduled rides before? Assuming no. The drivers get matched 30min before the scheduled ride. Possible factors in matching Location of driver Location of rider No. of rides the driver has had? Maybe give preference to new drivers? Scheduled rides are only single party rides (no pool,etc) What is our goal here? Maximi"See full answer

M N. - "To clarify, Lyft currently uses dynamic pricing which means the price of a ride is not constant and depends on multiple factors. Let's keep only the car rides on Lyft with driver-rider as customers in the current scope and ignore other product offerings such as bikes, scooters. Should we improve the current dynamic pricing model or design dynamic pricing assuming it doesn't exist? Let's assume latter. Let's assume this dynamic pricing applies to entire US market. Now let's see what factors I"See full answer

Mark - "Clarifying questions: what's the original goal of this feature? what user problem / issues we identified that we are trying to address? Is there a particular user base or market/regions that we are trying to solve this issue for? Is the experience going to impact the rider's action? or does it also change the driver experience? Assume: the issue we are solving for is focus on the rider's experience - the goal of this feature is to increase the % of matched ride (ie rider/driver matche"See full answer

M N. - "Lyft mission. What do we mean by engagement here? We want higher rides , not just time spent on app. What does social mean? When we create interactions between riders. Lyft line is social. Ideas: Idea: Can we maintain interactions between riders by letting them ride with same people again? Benefit: Increases repeat rides. Idea: Giving riders an option to request a driver they rode with. Benefits: Increases social interaction between riders and drivers. Increases retention and # rides as"See full answer

M N. - "Driver retention is important to ensure growth since we need healthy retention of existing drivers while we acquire new drivers so that we meet growing demand. Should we look at a specific driver segment to improve retention? We might divide the drivers by their age on the platform: New drivers(less than 3 months since first ride), Medium age (3mos to 1 year), Long term(1+ years). Let's focus on the medium term since I assume them to be the biggest segment. Now lets try to list out possible pr"See full answer

Mark - "Clarifying questions: What's Airbnb goal in making this requirement? Are we talking about the listing for Airbnb's core business - lodging? Approach: Before we dive in, it would be beneficial for us to first discuss our base understanding of Airbnb's business, who are the user segments that this feature can impact, and some hypothesis on what Airbnb's goal should be Once we define the goal of this feature, we can go over our approach on how we will evaluate whether we should make"See full answer

M N. - "Clarifications: What type of food? Let's assume cloud kitchens for this exercise. Lyft's mission: Improve people's lives with the worlds's best transportation. Lyft aims to achieve this in 3 ways: Socially, economically and environmentally. We can see Lyft playing a part in the cloud kitchen ecosystem and create economic mobility. Chef, Food consumer . Lyft is connecting these two users. Usecases: 1) Individual chefs who might be resource-constrained. Eg: Refugees who are skilled but don't"See full answer

M N. - "I'm assuming we are estimating lyft rides taken for attending Halloween parties since the usual daily ride data is already available. Let's assume Lyft is only available in the US. I'm going to start with US population and then estimate the number of people who might be party goers and then deduce number of rideshare users and then estimate how many of them will use Lyft to take them to and from the Halloween party. There are 300M ppl in US. Lets say I break down age groups 1-20, 20-40, 40-60,"See full answer

Sri V. - "First, I'd like to ask some clarifying questions and try to narrow down the scope of this question. Among them I would like to ask: a) How is the behaviour of pricing today? b) Are we looking to optimize a specific goal or a metric ? Ex: Click thru rate, Conversions etc. c) Exactly when user is searching for a product. d) what is dynamic pricing? - Pricing based on demand, inventory availability, user behavior etc. I'd now like to go thru a five step process to answer: a) Hypothesis:"See full answer

Unicorn 2. - "I would ask what are the currently supported modes of transport. Assuming cars, luxury cars, transit. Bike and scooter is off limits. Also assuming Lyft is available only in the US currently. Then I would start off with the Goal. Why does Lyft want to launch a new mode of transport. Assuming possible reasons in order of priority: 1) To gain market share 2) To gain new users (riders/drivers) 3) Improve experience of users (riders/drivers) Do we have restrictions on country that we can l"See full answer

M N. - "Potential ad creators: Brands Drivers Travel services. Goal: To create a revenue stream. Acquire new users? To potentially develop new products? For now, lets focus on generating revenue as the goal. Potential ad products: Ads from brands you can watch while you are riding. Most riders dont look at the app while riding but we can provide them incentives like 5% off next ride if they watch ads the whole ride and pay it via ad revenue. Drivers can pay Lyft to be matched more w"See full answer

M N. - "What is rider cancellation? Is it a rider requesting a ride but hitting the cancel button after the driver is on their way? Yes. I can see why it's concerning since that affects our # of completed rides and driver earnings. Let's try to understand the root cause. Rider cancellations have increased in what time period? We noticed it last week. Was it slowly dropping for a while or did we notice it only last week? It was a sudden drop last week How did other metrics behave last week? For eg,"See full answer

Akhil S. - "solving too much demand and not enough supply; look at how many users are unable to find a ride within a reasonable amt of time (to be defined) would would increase prices everytime someone doesn't get a ride at small intervals. In a few minutes, the prices would increase to an equilibrium."See full answer

Nithesh S. - "First, let us start with the mission of Amazon: “We strive to offer our customers the lowest possible prices, the best available selection, and the utmost convenience.” Alignment of recommendations system with Amazon's mission: Suggesting recommendations to the users would be a part of this mission as it would allow users to buy things on their mind for the lowest cost in market (may or may not be true). They might get better prices if they order adjacent items together. For example, i"See full answer

Prashali J. - "Some ideas - 1) While booking tickets we can give preference to 3 rides which will act like fast pass for us. This way we can give preference to some people for some rides without extra costs to customers. 2) Slot system can be tried where we can book slot (15 min ) each online and only go when our slot time starts. Booking here should be taken of only required number of seats in that ride + 5% (in case of dropouts) 3) We can make wait time to be fun by having some small arcade / quick games"See full answer

Unicorn 2. - "I would like to ask a few clarifying questions Lyft for kids: Does this mean we want to design a ride sharing app for kids? (Assuming yes) Do we have any existing features catered to kids? (Assuming no) Lyft has a lot of features. I am going to assume basic table stake features which Lyft already has as: Ability to call for a ride Ride tracking Are there any goals that we would like to achieve with this feature? If we look at current market conditions, Lyft has biggest threat f"See full answer

Anonymous Grasshopper - "I'd like to start by understanding the basic scope of the change we've observed. Who is the user? Lyft is a two-sided marketplace so it could be the driver or rider. -Driver When did the change happen? Was it slow or a sharp drop-off? - sharp, 2 weeks ago Was there a specific geographic region? Urban v suburban? - no trends Cancelling can happen at several points in ride acceptance, is there a particular point where we see most cancellations? - just after accepting a ride"See full answer

Sukriti C. - "Lyft at its core is a marketplace with drivers and cars on the supply side, and passengers on the demand side. I would begin by dividing the goal of the dashboard into two categories : Health of the marketplace Health of the app/ reliability from a technical perspective The second one is more straightforward so I’ll briefly mention some overarching metrics I would look at and come back to it later if time allows. Health or reliability of the app can be further divided into the following -"See full answer