[] While it might seem small in isolation, our daily work be it on reducing delivery times, increasing efficiency, or improving personalization is about compounding incremental improvements that drive significant value over time. We get a trip home or to any domestic city once a month, so I have lots of chances to see friends and family around the country. You can best reach me on LinkedIn. It is a dataset with drivers, delivery times, money made, and tips. Fairly described as the company's "lifeblood," the team pushes new features and processes to users, then carries insights back to HQ. With all these partnerships, products, and new opportunities ahead of us, were ready for the next act. Thanks. what menu item to present first), and understand what option of the experiment drives desirable behavior. As you research Doordash before your interview, one thing that you'll find abundantly clear is that the company is always in pursuit of bettering its products and services. Their data platform is a growth engine that powers experimentation across the food delivery lifecycle ad images, menu presentation and pick-up time for Dashers by market, down to the single minute depending on weekday and time of the day. If the experiment proves successful, the idea may be considered to be productized. The ticket size of an order obviously matters as the restaurant generates more revenue, and DoorDash gets a larger commission, which they can re-invest into the business. In the past, research has helped me conduct a conjoint survey to target the best combination of features for our consumer base as well as design, host, and analyze surveys that gauge consumer interest in new and evolving products. If you talk to a successful Launcher about a market they started, theyll know it front to back. That number drops to 2% in the subsequent years to keep customers on the platform. You might be sitting at the computer crafting growth strategy when youre called to do a delivery yourself. Amazon Prime and a Costco membership come to mind, for a comparison. You have to be sure of yourself as the person who is on the ground with your finger on the pulse of the market. In order to succeed online, merchants need to utilize a set of menu-building best practices to attract new customers. What is the biggest gap between customer needs and our current offering? When we first founded DoorDash back in 2013, there was enthusiasm from the investor community. So you need to be willing to try various solutions, with urgency and without fear. Organization is key, and I need to be able to focus on a specific issue rather than getting dizzy from the whole picture. Food delivery is a low margin business, and besides brand you could argue theres not much differentiation between two delivery services they pick up food from a merchant and deliver it to a consumer. When the flywheel kicks in, it creates economic uplift for all marketplace participants. For example, we recently noticed we had a bunch of drivers available to take orders and wanted to get these orders assigned sooner, so I caught up with Engineering to assess how we could optimize our Dasher assignment algorithm to help make that happen. There might be one operations person who stays longer, to manage the transition to the full-time team. They want to make candidate can handle the work. I like to tell people Im a recovering consultant and banker. The best data is useless when you cant put it to action. But the cool thing is, there may come a time when other regions are trying to address similar problems, and they wont have to reinvent the wheel. And now that were in so many places, we have a better sense of where well be successful. Operational excellence at the 1-foot and 50K foot levels Our business operates in both the short and long-term (i.e., high quality orders need to be fulfilled today and how the space we are operating in changes over the next 12 months). You always have that sounding board, so youre never really alone. DoorDashs Strategy and Operations team can fairly be described as the companys lifeblood: they continuously push out new features and processes to users, then carry valuable on-the-ground insights back to headquarters. Typical questions for the research team to answer: Why are customers using / not using what we offered in the experiment? Overview To land an analytics data science job at DoorDash, you have to pass one to two case study interviews. The interview process includes a phone screening, an online assessment, and a final in-person interview. DoorDash also values experimentation. The whole process takes six to eight weeks. How efficient is a given Dasher, and are we paying them accordingly? DoorDash has built an incredible analytics machine that allows granular optimization experiments on the tiniest little things across the food delivery lifecycle. Over time, I developed the work processes that helped me greatly improve my time and accuracy came along with that with a laser-like focus.\"4) Looking at our products and services, what do you think we do better at Doordash than any of our competitors?Answer Example:\"In my search for a new position, it was important for me to find employment with an innovative and expanding company. Good analytics teams collect that data in a way so that they can slice and dice that data in any possible way. Shaving off minutes compounds across the whole fleet, raising income for Dashers and making DoorDash more efficient and profitable. Im a Regional General Manager based out of our Midwest hub in Chicago. Our local logistics platform is powered by our proprietary technology that carefully optimizes the many interactions between merchants, consumers, and Dashers to make the end-to-end experience seamless and delightful. This is where their technology platform comes into play. Yes, others are using data too. 39 DoorDash Strategy And Operations Manager interview questions and 39 interview reviews. Were evaluated every six months, and if youre a manager but youre acting at a higher level, youll be moved to senior manager at that point. One day that might be recruiting new talent; the next its growth strategy; the day after that its working with top Dashers or merchants, making sure they feel valued. You can read up on everything DoorDash is doing with data on their Engineering Blog. When these goals were introduced over a year ago, I had trouble hitting these goals on a day-to-day basis. At the same time, theres a lot of room to be creative. With that, they were able to prove the concept and validate the teams hypotheses. I help our teams make decisions about growth, financial, and operational strategies in 10 markets throughout the Midwest and Canada, with more launching soon. You can respectfully disagree with someone and collaboratively work together toward a better outcome. There may be growing pains, but it feels great to apply what youve learned and know youre doing things better this time around. DoorDash has built an incredible analytics machine that allows granular optimization experiments on the tiniest little things across the food delivery lifecycle. A few examples. I can provide detailed insights. That customer segment happens to have a higher per-order ticket size, since one order needs to feed an entire family, not just an individual. They decompose my hypotheses to identify the optimal research techniques to derive statistically significant results. Any tips on what to expect from the Strategy & Ops interviews? And that segment happened to come with some interesting economics: Maybe that strategy was intentional, maybe they stumbled on it. Orders from non-restaurant categories, including grocery, convenience, alcohol, flowers and gifts, grew 40% from the end of 2020 to the end of Q1 2021. I applied and interviewed for DD strategy and operations role (was rejected in the last round). I was drawn to apply at Doordash because of this. From presenting personalized, curated content to consumers that takes into account cuisine and dietary preferences to providing information that enables Dashers to maximize their earnings opportunities, our machine learning algorithms continuously improve the experiences of our three constituencies and make our local logistics platform more intelligent and efficient with every order. Each order on our local logistics platform provides a broad range of information that is analyzed by our machine learning algorithms to improve the quality and performance of our platform. Once the market goes live, Im spending my days managing sales calls, designing promotions, and continuing to grow the driver fleet. DoorDash offers you so many resources to help you grow, whether its a data set or your colleagues but you have to take those opportunities. I have the same question, Iirc.,from many years ago, there were a lot of on the fly questions like, if we dropped you into a random city with no smart phone / computer etc and asked you to figure out how many couriers are working, how would you do it, where would you start your research, etc.. Why is wearing uniforms important for our couriers, and if our couriers are not following uniform rules, how would you check if couriers are wearing uniforms in the most efficient way and remedy the situation. Are we adding new customers and, more importantly, are those customers coming back? Theres a dedicated Customer Acquisition Team with a business leader. Are deliveries being made on time? But more so DashPass takes friction of the ordering process, as theres no additional delivery fee. Any industry has a key transaction that measures the exchange of value. Were also testing services like alcohol delivery; we just signed a deal with a national retailer, BevMo. To test if the proposed solution is viable, they run experiments (the operational tests) with a small set of customers. This role doesnt require a ton of travel, but I do have the option to visit HQ or our other locations if thats the best way to collaborate. 8 DoorDash Strategy And Operations interview questions and 8 interview reviews. Will be grateful! If you dont have the time to read the full post I also write a weekly-ish newsletter where I share the lessons learned from all the start-up that I come across. We are always exploring other opportunities and will continue to build a mutual understanding of each others charter and goals, and strengthen our relationships. Ive also learned to look at every conversation from the other side. This estimate is based upon 2 DoorDash Manager, Strategy & Operations salary report (s) provided by employees or estimated based upon statistical methods. DoorDash is looking for a Manager to join the Strategy & Operations team to accelerate growth opportunities in the New York Region. Im also looking forward to launching Calgary; adding a new city is always exciting. Click the link below to head over to Substack and subscribe!, Investor at Rodeo Beach, co-founded and sold intermix.io, VP of Platform Products at Instana, https://doordash.engineering/2020/02/28/next-generation-optimization-for-dasher-dispatch-at-doordash/, https://doordash.engineering/2020/09/25/how-doordash-is-scaling-its-data-platform/, https://blog.doordash.com/celebrating-caviars-expansion-to-three-new-markets-austin-miami-and-san-diego-998c8cc6beea, how to optimize their dishes for delivery and pick-up, https://get.doordash.com/blog/off-premise-food-quality, https://blog.doordash.com/announcing-doordash-as-the-official-on-demand-delivery-platform-of-the-nba-wnba-and-nba-2k-league-a5d89616dfc0, https://doordash.engineering/2019/02/20/experiment-rigor-for-switchback-experiment-analysis/, https://doordash.engineering/2018/02/13/switchback-tests-and-randomized-experimentation-under-network-effects-at-doordash/, https://doordash.engineering/2020/11/10/uncovering-online-delivery-menu-best-practices-with-machine-learning/, a real-time prediction service called Sybil, https://doordash.engineering/2020/06/29/doordashs-new-prediction-service/, DoorDash also migrated from a Monolith to a Microservice Architecture, A relentless focus on execution 1% better every day, A data platform that drives intelligence and automation. DoorDash has done exactly that. But DoorDash takes the cake in my opinion. Then, Contribution Margin went from deep red in Q1 2019 (-71%) into the black in Q1 2020 and is now in the 24% range at the the end of Q3 2020. Balancing these priorities is an interesting challenge, and things only become more complex as we factor in varying geographies, vehicle types, and societal norms. Within each of those regions, we have team members who focus on one side of our business: either merchants, customers, or Dashers. Our managers understand were not going to make our money back in a day. You can unsubscribe from these emails at any time. We dont waste our time being pissed off or bent out of shape, and there are no screaming matches. Example of partnership: After multiple rounds of operational tests, DoorDash was going to make an announcement at the 2021 Super Bowl about its delivery offerings beyond food. Airlines sell plane tickets, Brokerages sell stock trades, Logistics companies sell shipments, Food Delivery sells restaurant orders, and so forth. Were launching new markets, were announcing new partners, were experimenting with things like catering and alcohol I love coming in every day thinking about the next big thing. 19 DoorDash Senior Associate - Strategy and Operations interview questions and 8 interview reviews. We also pick the brains of any Launchers who visit our office. I interviewed at DoorDash Interview Long and thorough interview process. All DoorDash needs to do is acquire a customer and keep them on the platform beyond year 1. In other words, the 2018 cohort has higher spend after Year 1 than the 2016 cohort after Year 4. We have a solid playbook of best practices. The 2016 cohort increased its annual spend by 57% in Year 4 (2019) compared to 2016. 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