Lyft Analytical Interview Questions

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

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

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

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

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

Sampada J. - "Clarifying question- Current pricing model at lyft? So there is already some kind of dynamic pricing happening at lyft as depending on different factors like distance, driver availability, time of day, seasonality etc. the prices would change Hypothesis- I want to focus on real-time dynamic pricing. What I mean by that is that I want to have another option while booking a ride on lyft where the price for the ride is not shown upfront as the user is booking. Instead this option would basica"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

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

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

M N. - "Ideas: Book a ride ahead of time on an app and provide timeslots. Have longer hours just for these rides so that people who care enough can go earlier. Distribute the demand by splitting a one-day ticket into 2 days so that traffic is distributed into 2 days. Fast pass add-on that lets you buy a fast pass for a specific ride instead of a combination. Have 2 of the top 3 popular rides and remove unpopular rides to use the space. Create a VR version of popular ride at the park so"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

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

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

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

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

Rishabh S. - "Clarifying Questions: How do you define 45% drop in ride orders? Does it include completed as well as cancelled rides? Is it a sudden drop or a gradual decline? For all types of services/rides or anything specific? At any particular time of the day/week/month, have we observed this drop? Is it happening across all locations or in a particular region? For a particular platform? iOS/Android Most likely reasons (that we can cross-off asap): Unrest in a particular geograph"See full answer