The overall process of interviews in large factories
Generally speaking, the product manager interviews of large manufacturers are 4 rounds of business + 1 round of HR, with 4 rounds of business interviews.
The first round - Intermediate and HE Tuber advanced level: Parallel reporting within the group or direct leader; Beginner level: Parallel reporting to classmates within the group
Round 2 – usually +2 if it’s a mid-sized team
The third round - cross-interview, it may be students from other product sides who cooperate closely. If it is very strategic, it may be an interview with the leader of the sub-team or the leader of the algorithm team. The principle of intersection will not affect anyone, but the conclusion is an important basis for judging rank, so it is very important to show your professionalism and strategic vision as much as possible
The fourth round - the leader of the large team mainly makes the final confirmation of whether he is qualified for the grade.
What kind of groups do big companies like?
Pragmatic, smart and practical
Have solid product skills and pay good attention to technical details
Draw inferences from one example and continue to iterate on your own through multiple channels
The article has a lot of text. After all, it took a long time. I will use each major manufacturer as a node. What follows is the biggest benefit I gained from the interview.
Meituan-Taking interest from growth and grasping balance from ecology
The previous business communication is relatively simple, because the work experience matches the position itself very well, so the details of the business communication are very smooth. The following are some actual problems worth thinking about. You can sort them out based on your own work thinking:
1. What are the similarities or differences between content governance on content distribution platforms and local scenarios?
Content governance itself is a very basic strategic business. The main links include positioning what the problem is, sorting out rules, machine review and human review strategies based on rule configuration, feedback/reporting links for online abnormalities, and monitoring online content. The ability to sweep back and intervene in governance effects.
The local business mainly focuses on the scenes before and after the actual transaction between users and merchants, and the content affects consumers’ purchasing decisions, including first-time consumption and repeat purchases. In this business scenario, in addition to paying attention to content quality and whether the bottom line violations of the content extend vertically, content governance also needs to pay attention to the authenticity of the content from a horizontal perspective, that is, whether the comments written by users who have posted comments occurred after real consumption. Whether the writing of the evaluation is affected by subjective factors and biased etc. Therefore, the content ecology of local business will naturally have both quality and authenticity.
2. How to strike a balance between recommendation and growth strategies for strategic products?
This question comes from the intersection, and because it is based on the comprehensive understanding of content ecology, it is also listed here to continue to expand thinking capabilities. The original question is: "From the perspective of growth and traffic diversion, when companies enter short videos, they convert traffic by obtaining gold coins. As a product of the content ecosystem, how to obtain online users' preference for the content itself through gold coin scenarios? ".
The prerequisite for answering this question well is to understand the design principle of gold coins, that is, why users come to watch videos to obtain gold coins, and how users are motivated. Under this framework, we discuss ways to identify whether a user is “just watching videos” or is “fascinated” by watching a certain type of video; whether a user opens the APP again because of a “cash reward” or because he “likes the content”; whether a user forwards a certain video Is it because of "points" or because of "fun".
How can I answer systematically from an interview perspective?
My solution is to first introduce several core points for users to obtain incentives from the perspective of the gold coin reward mechanism: building trust, obtaining continuous incentives, and earning gold coins worth enough for withdrawal. The main levers that adjust the entire incentive are: cash and gold coins. Among the above three links, the main way to expand the gameplay and ascertain the user's interest is to obtain continuous incentives. Through the exchange rate changes of cash and gold coins, and the effective timing method of watching videos, the user's interest points can be obtained, that is, during the non-cash driving time. Range operations can all be calculated into actual "interests".
3. Have you read any books recently? Review a book
I feel like it’s not very relevant to the actual interview, but it’s a very interesting question. Product managers themselves need to continuously expand their abilities. In addition to reviewing their own work, reading can provide a larger perspective on the world, interpret their own worldview, and reshape the way they work.
The book "Reading This Way Is Enough" introduces in detail three types of readers: junior learners: recorders who simply record encyclopedias; advanced learners: use book content for personal work and life; learning facilitators : Proactively guide others. As a requirement for the scalability of the product position, the books introduced should at least make the other party feel that they are advanced learners, that is, they can continue to iterate their cognitive methods through reading, so that there is room for continuous updating of work.
The book I introduced at the time was "What Have Philosophers Did". In fact, I had not finished reading the book at the time, but I combined it with Gallup's test analysis to extract common points and switch from an individual perspective to a global perspective. , switching from individual contributions to connecting various partners to work together around the same goal. It is equivalent to explaining it from the perspective of advanced learners.
Kuaishou - When content ecology meets local growth
Because the position was a good match, the interview went very quickly, and the questions were all very basic strategies. There was only one question that impressed me deeply, which essentially discussed the relationship between governance and revenue growth.
From a governance perspective, it is possible to dismantle user violation information in different business scenarios on the platform. If this problem continues to expand, from the perspective of local e-commerce, how do you evaluate the GMV of a store to delineate the gradient of store management value?
Because my background is in content management and I am not good at local growth, this question is in-depth. From the perspective of capability assessment, the main test is the basic skills of dismantling strategies. Therefore, logic and structure are the basis for winning the interview follow-up process. The GMV of a store is ultimately determined by two elements, traffic and customer unit price. As a platform that needs to explore new stores, it is natural to hope to conduct market research through relatively clear GMV to establish a basis for mutual trust with merchants, and to develop marketing strategies to encourage merchants based on different GMVs, such as incorporating them into the task system.
The goal is still to Expand the number of local merchants.
The dismantling ideas are divided into two types: online and offline, known and unknown. Therefore, the reply basically revolves around, if you want to get the magnitude of GMV of different merchants, you must first classify the merchants in the platform according to the platform rules, and obtain the known on-site exposure, conversion, and write-off rates of merchants at different levels based on the classification, and use the known merchants Traffic inference is used to estimate the on-site traffic of unknown merchants; at the same time, the off-site traffic, conversion, and write-off rate are investigated offline. These data can be researched through business BD, or through industry and competitive product analysis. It is not necessarily accurate. It only needs to be approximate market share. , and obtain the target value for the write-off rate, which can be used for speculation.
