DoorDash Interview Questions

Anonymous Gazelle - "Post Booking Journey – Starts from making the payment for the ticket & ends at collecting the baggage at the belt Different Steps, which are involved and could go wrong: Payment gateway is not responding and the last Payment made but booking not confirmed Ticket gets cancelled but money is not refunded / money is debited but ticket is not refunded Flight gets rescheduled / Cancelled / Delayed Huge Qs at check in counter / Security Want to purchase a service onboard but currency not"See full answer

Anu S. - "what is a task rabbit? marketplace connecting users with freelance labor with local demand, allowing consumers to find help with everyday tasks, including furniture assembly, moving, delivery, and handy person work Explain the User Flow in short: User logs in, searches for the services, sorts, picks and books the service the gig worker gets 24 hours to pick the request, accepted or declined In case it is accepted then it is considered a "BOOKed"gig what is the post booking experience? -"See full answer

Tracy C. - "Before I walk you through my thought process, I want to align you with the definition of discovery. I assume discovery is the journey before a guest adds a property or experience to the cart, which can be broken down into the discovery of listings pre-search bar on the homepage and discovery post-search bar on the search results page. Are we talking about both touch points as discovery, or would you like me to focus specifically on one? Is this for a specific platform, mobile or desktop web? Bec"See full answer

Sri A. - "Success for Yelp reviews. (assuming these are standard reviews posted by customers, for a restaurant or bar or a cafe listed on Yelp. Has a 5-star calibration that users can enter and free-form text.) Select Metrics should span the entire funnel across adoption, engagement, quality, and overall impact for Yelp. Adoption metrics: Total # of reviews written, Avg reviews/ listing Engagement metrics: # reviews being scanned, marked as being useful, etc. Quality metrics: %ge of disputed"See full answer

Aditya S. - "I told a story about how our team was focussed on moving a key metric i.e. NPS and to do that we build 3 top requested user feature. Post release the detractors % didn't move even though the detractors request for features shipped went down. Then I connect with users and did some analysis post which we realised that we need to pivot our focus from shipping features to enabling complete workflows for our users i.e. shipping all those feature which are used together in a feature as then only users"See full answer

Navin T. - "Clarification Question: What kind of revenue is Target trying to increase? ( Gross Revenue, Net Revenue .. etc ) Answer: Let's stick to Gross revenue. As I understand, the target has two revenue streams - In-store and online purchases. Are there any other revenue streams I should consider? Answer: No Why Now ?. Answer: we have seen our revenue being impacted due to competition from Amazon and Walmart, and our revenue is flat. Which revenue stream do you see a decline, increase, or flat?"See full answer

Anonymous Crab - "Clarify: Are we specifically referring to the point in time after a customer places an order to a restaurant, in the context of Doordash? Or are we talking about a generic online order? (Assume former) I am going to walk through what I think our business and product goal is, followed by the users and their painpoints in the workflow after they place an order. Then I will prioritize which pain points to solve for based on business objective and some other factors, and finally brainstorm and prio"See full answer

Pree M. - "Let's split the experience in four parts: Time between order is placed and order is waiting to be prepped by the shopper. Time between order is prepped by the shopper and ready to be picked by the driver. Time when it's out for delivery. Post delivery experience. Now lets think through what can do wrong? How do we define wrong? A wrong would be anything where a customer has a negative experience. Let's dive into the when things could potentially go wrong. **order is placed and"See full answer

Amparo L. - "The reason I want to work at Doordash is because I’m a really hard worker, I never give up and I’m good at delivering stuff to my teachers at school whenever they have something to drop off to them, I look at the paper and then I read the directions given to me on the ipad to drop it off."See full answer

Namrata L. - "NPS is the Net Promoter Score. It basically measures if the users will promote or recommend our product or not. Do we have any timelines for this? Also Amazon as in the Amazon MarketPlace right? So to improve NPS, we need to improve the customer experience and keep them more engaged. So lets focus on improving engagement. Mission of Amazon - Help users get any and everything by just clicking some buttons at their doorstep. Users Demographics - Teenagers, Young Adults, Adults, Oldies Pro"See full answer

Aidynn E. - "Let's start with clarifying question -> What do we want to achieve with increased engagement? Let's say Spotify has personalization that prefers more engaged songs/podcast to be available to new users (who have not heard that song). Along the same lines as Facebook/Linkedin/Instagram prefers posts. The more the song/podcast is engaged among users, for more people it will be visible to listen. What users we are targeting? There are 2 broad categories of users such as creators and listen"See full answer

Shashwat K. - "Binary Search on the array and after than compare the numbers at low and the high pointers whichever is closest is the answer. Because after the binary search low will be pointing to a number which is immediate greater than x and high will be pointing to a number which is immediate lesser than x. int low = 0; int high = n-1; while(low <= high){ int mid = (low + high) / 2; if(x == arr[mid]) return mid; //if x is already present then it will be the closest else if(x < arr[mid]) high"See full answer

Arya R. - "I'm going to assume the problem is limited until the point of where the rider get into the car. Rider segments/characteristics: Local rider (lives and travels in the same city) Tourist rider (visiting a city, using Lyft for the first time in the city) Lets think about some problems for these types of users: Local rider: (Choose to prioritize on these use-cases assuming its a larger % of rides overall) Ride shows as confirmed, but driver does not move on the map Driver does"See full answer

Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows: Ask clarifying questions List potential high level reasons Gather Context (TROPIC)Time Region Other features / products (internal) Platform Industry / Competition Cannibalization Establish a theory of probable cause Test theories Propose solutions Summarize "See full answer