Top 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

Aeshvarya J. - "Food delivery apps : Food delivery apps are clear example of demand and supply functions, Both end need to monitored closely. Ecosystem : Order placer, Restaurant and Food delivery Platform Value : Order placer find value when they can order food at home from their fav restaurants. Restaurant find value when they make sell via order coming in and probably good reviews which marks future growth. Food delivery platform when orders are being placed. North star metrics : # of order delivered Bre"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

Sai ganapathy S. - "Estimation - Estimate Lyft revenue Modes of Income Revenue through Ads Revenue earned from drivers and ride bookings Premium Subscriptions (Lyft Pink) and Other + subscriptions. Considering US as Lyft's primary market and hence estimating revenue for this market for Lyft Total Population of US : 330 Million Among this 330M, there are Low income families - Families who earn just to make their ends meet. So they won’t be able to afford cabs since it is a bit expensive. Assuming"See full answer

Kena K. - "Lyft’s mission: To become the world’s best transportation company CQ: · Region: USA · Metrics to improve: Engagement User persona: · Passengers · Drivers Will consider passengers persona for this case. Use case / pain points: Exact pick up location is not visible on the map Not able to communicate exact location to the driver due to unknown location How to change the pick-up location in case passenger has to move around Features: Passenger can share a pictur"See full answer

Dominique H. - "Starbucks"See full answer

Prashant R. - "Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"See full answer

Tartan C. - "A transportation system that connects with stakeholders to make the treatment process more predictable and time-effective. Algorithm to send a push to drivers nearby."See full answer

Exponent - "This question is a Diagnosis Question. Let's follow the template for answering Diagnosis Questions: Ask clarifying questions List potential high level reasons Gather context (with TROPIC method!) Establish a theory of probably cause Test theories Give a potential solution Summarize Ask Clarifying Questions Before we begin, it's important to ask clarifying questions if necessary. This question is quite straight forward so we may not have ma"See full answer

PTL - "Clarify the default pick up location/pin feature - I'm assuming it lets you define a location in settings that is used for pickups unless you over ride it. this is a rider feature. It is not used by the driver to specify where they want to pick up riders Feature goal Make it simpler for the user to book a ride as they no longer need to type in an address when going to the default location User Journey assuming they have already set the default location they open the app cl"See full answer

Rutuja A. - "Lyft is a ride hailing platform where the users can request the rides on the app and the drivers can fulfill the rides based on their availability and willingness Goal: So here we want to design a ride hailing platform for college students for there commute From home to college College -> Home Inside campus Why do we want to concentrate specially on students? Data analysis of existing ride pickup and drop location and time analysis Hypothesis: A good share of rides are originating from"See full answer

Chetak C. - "Probability that one of the coupons is used = 1 - Probability that no coupon is used = 1 - nC0 p^0 * (1-p)^n = 1 -(1-p)^n"See full answer