Questions d'entretien pour Responsable Marketing, France
51 k
question(s) d'entretien pour Responsable Marketing partagée(s) par les candidatsPrincipales questions d'entretien
Tell us why we should NOT hire you?
6 réponses↳
If you want to loose out on a great team meme we you should not hire me 😃
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If your workplace ethics is very toxic, you can do me a great favor by not hiring me. This is because I don't function well in an environment where I couldn't walk up to a colleague asking for suggestions and feedback about my designs. Moins
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Thats upto you to find out :D
How many times does the Earth rotate around its own axis while it makes one revolution around the sun?
5 réponses↳
one time more than the number of days in a year
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Little more than 365
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While it makes 365 complete rotations around the sun, to answer the question being asked, the answer would have to be that the earth is constantly rotating around its own axis. Moins
1. How much money spent in USA per year on GAS
5 réponses↳
1. Do we consider both private and commercial (large vehicle - trucks) vehicle for assessment? - say the answer is only private vehcile 2. Even with in private vehicle, do we have to consider people driving the car for personal use or people driving for Uber and Lyft. The consumption of gas will vary based on the usage - say the answer is vehicle for personal use only Make equation: Money spent per year on Gas = total gas consumption by private vehicle in a year * price of gas per gallon Total gas consumption by private vehicle per year = number of private vehicles in US * (average gas consumption per month per vehicle * 12) Number of private vehicle in US = number of households in US * average cars per household Number of household in US = total US population/ average person per household Assumptions and Facts: 1. Gas price = $3 per gallon 2. Average person per household = 3 3. Average car per household = 1.5 4. Average gas consumption per vehicle per year = 1200 gallon 5. US population = 300 million Do the Math Number of household in US = total US population/ average person per household = 300 million / 3 = 100 million households Number of private vehicle in US = number of households in US * average cars per household = 100 million * 1.5 cars per household = 150 million cars in US Total gas consumption by private vehicle per year = number of private vehicles in US * (average gas consumption per month per vehicle * 12) = 150 million cars * (100 gallon per month * 12) = 150 million * 1200 gallon = 180 billion gallon Money spent per year on Gas = total gas consumption by private vehicle in a year * price of gas per gallon = 180 billion gallon * $3 per gallon = $540 billion You can see more product management exercises, answers, and feedback to the answers at productmanagementexercises.com. It's a free resource to help PM's prepare for PM job interviews. Moins
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This is a typical way of Google PM interview. If you need to know how to structure your answers and what kind of format you will meet, you can try Rooftop Slushie that I found helpful. (rooftopslushie.com) Good luck! Moins
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I break down to 4 parts . 1. Car , 2 . Household , 3. Transportation , 4 others. Interviewer replied me to focus on Car only. I use USA population to answer this questions. Finally, Interview ask me how do I think my estimation , is that too high or too low. Moins
How would you build FB for blind people?
5 réponses↳
I would start by asking the question "Why would blind people use Facebook?". Are they pursuing the same goals as non-blind people? Is the way they interact with the world different? Are there ways Facebook can help the blind that are irrelevant to seeing? Then go one level lower - how they interact with a computer? How do they consume information? How do they (also can they and would they) produce content? Once I have reasonable answers for above I would have a good idea of what is my interface to Facebook would look like. Then it's one level lower - actual product design. Buttons? Wall? Photos? Videos? Speech recognition? Text-to-speech? Moins
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Blind people use "readers" to read the screen. First, ideally, I would want to gather more information, preferably from blind facebook users, on their specific needs and interests on facebook, as well as how their readers work (for instance, do their readers work using a mouse, or exclusively with the use of tab keys?). Ultimately, I imagine (depending on feedback) I would organize the layout a bit like a telephone system in which the main menu gave perhaps about five main options, which if selected would allow blind users to hear their newsfeed, their notifications, etc. Moins
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Clarify > Users > Use Cases > Goals > Prioritize > Solutions > Tradeoffs Focus on improving the current app to support blind people. Understand what they're trying to do, it's no different than a non-blind person. What are the aides they will need to achieve that. What's the most important feature to make that happen and why Moins
How can I get to some gold in the middle of the amazon in the cheapest way possible?
5 réponses↳
outsource to india.
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Light a match and hope the wind blows from the right direction.
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Send some there. The question does not ask how to get in out of the Amazon.
What 8 videos you will project on YouTube home screen, given the user is login first time and no history/ analytics is available for that user?
5 réponses↳
Let's start with the problem ? - get started with YouTube ? Goal - is to get them to view a video ? be a sticky customer ? convince them that this is a replacement to their TV ? if someone is logging into YouTube for the first time it could be one of two people > they have used YouTube before > they haven't used YouTube before and have started by signing up first and then using YouTube > they have just up with google elsewhere and are just logging in on YouTube with their google credentials. In short. > we may not have their YouTube history but might have their other Google history > external signals (web/mobile, time of day, region, country etc). Content > Let's think about type/format of content > Typical YouTube content ( movie trailers, songs, funny video etc) > Custom content - Introduction to YouTube - What's on ? (similar to the way they have with Cable where a channel continuously spins what's new and latest) > Short form and long form content. > Age Group (suitable for a particular age group) > Such type of content is across various categories ( entertainment, science, technology) ---- For a moment think about how does history of YouTube help you ? > Show recently viewed. > People who viewed this also viewed y (recommendation) .. basically you get better at predicting what a user might like and improve the probability of them viewing your recommendation. ---- Let's say we come up with various options on which 8 videos to show Option 1 : Top videos across closest matching affinity group (let's say user is based in Kansas) - what's the top video watched 8 videos in Kansas for today Option 2 : Custom / Personalized content (What's on , Introduction) + 6 top videos Evaluate various option based on user persona, goals . ... there isn't going to be a right answer to this question so the best guess is to make an educated guess well enough so that you can run your first experiment then be ready with other experiments so you can pick the best one Moins
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The goal cat be known beforehand since you don't know who the user is. Need to start there first- What the best guess for who this user is? I would use any one of several IP traffic analysis services (E.g. Alexa, Comscore) to get a demographic profile of the user. The service takes into consideration things like time of day the user is accessing the service, location (Based on IP lookup), type of browser (based on UA string), if available 3rd party cookies etc to form a profile that will tell you with a n atached confidence interval if this person is male, 30-45, interested in hiking etc- Can be pretty granular. Second- Once I have that profile, map that onto heuristics that have been predetermined based on Youtube's biz goals and prior user study- E.g. Single males 30-45 are most likely to watch sports videos. This demographic is more likely to pay for exclusives/ More likely to click on associate videos. Make 4 more similar inferences. Finally- Use those 6 inferences to pick from a virtual carousel fo videos (E.g. Latest Vs. Most liked Vs. Most views etc)- Idea is to mix it up. and show these. Moins
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The goal cat be known beforehand since you don't know who the user is. Need to start there first- What the best guess for who this user is? I would use any one of several IP traffic analysis services (E.g. Alexa, Comscore) to get a demographic profile of the user. The service takes into consideration things like time of day the user is accessing the service, location (Based on IP lookup), type of browser (based on UA string), if available 3rd party cookies etc to form a profile that will tell you with a n atached confidence interval if this person is male, 30-45, interested in hiking etc- Can be pretty granular. Second- Once I have that profile, map that onto heuristics that have been predetermined based on Youtube's biz goals and prior user study- E.g. Single males 30-45 are most likely to watch sports videos. This demographic is more likely to pay for exclusives/ More likely to click on associate videos. Make 4 more similar inferences. Finally- Use those 6 inferences to pick from a virtual carousel fo videos (E.g. Latest Vs. Most liked Vs. Most views etc)- Idea is to mix it up. and show these. Moins
Microsoft have just realsed Bing, Eric Schmidt wants you to give him analysis on which search engine gives the most accurate results in 1 hour. How would you be able to rate accuracy results on returned queries from Google search and Bing.
5 réponses↳
Among thousand of queries that reach Google's search engine every second, there will be, without doubt, similar/exact ones. So a filter can be applied to the Google's Web Server that can spot such queries (already answered from Google) and forward those to Bing, get Bing's response and forward it to the user. Then gather all clicks coming from users and comparing whether users clicked higher in the searches coming from Google or the one coming from Bing (spoofed by Google). The rest is simple. Got to say that the response pages have to be tagged etc. making it a tad more complicated. Also the constraint is to be able to do this within one hour (and honestly I don't think that from programing to deploying to gathering and analyzing can be done that fast) makes this one kind a utopic solution. Otherwise, one can just ask friends to try certain searches in both engines and give you their, most likely biased, opinions. You could, in theory, proxy all this from your desk (not telling them where the search is going -- Bing or Google) and then compare what they think is best answer. Moins
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I think the question is not so technical and requires an answer with a bit more of semantics. Accuracy in search results is purely semantic. Relevance of search results and their priority (pagerank style algorithm) is strictly mathematical and lacks a human analysis. Therefore, a user test should be made. A representative sample of Bing and Google users should be gathered and they should be able to perform search operations with both of them simultaneously. They should not be able to know which search engine is which. Then analyze the results given by the users on whether what they were looking for was precisely found by the search engine and rate this accuracy. Moins
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What is accuracy? Most likely relevance or a combination or relevance and speed. The bad answer is: Design a program that sends inputs to bing and Google and measure output in terms of organic results. The good answer is: You have an, hour so you don't have time to go into algorithms. Its an estimate. Pick 10 individuals representing a cross section of search engine users. Example: include gender, age, race. You can even just do the power user which is: e.g young college male/female Anyway you are trying to get a cross section of the population. The key I think is basically give them inputs. The odds of Bing and Google getting normal queries both right is great. i think a better search engine will be able to do edge cases: So you query should have the following: 1) mispellings 2) another language 3) Cultural nuance: 4) Video/image 6) specialiazed seach such as "public static void". 7Most current event, say something that happened 10 mins ago Basically, make them tabulate the relevance on a scale 1-5 for both engines. report the results. This is so easy you can do it in 1 hr. Moins
Given a set of 2D coordinates for the 4 corners of each building in a city skyline (as if in a photograph), how would you determine the outline of the silhouette of all buildings, where buildings may or may not overlap?
5 réponses↳
Scan from left to right, pick the next x in (x,y) with the largest y, of there are duplicates x's. Start printing the top horizontal edge and continue scanning (until either the x coordinate of the current bulding ends, or you encounter a new coordinate). When you encounter the next (x,y), switch to the new y if (either the earlier building has been passed OR if this new y is higher than the earlier y(of the previous building). Continue. Also account for edge conditions seperately. . Moins
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Isnt this qn better posed to a developer? I feel like this is about as relevant as asking a developer to figure out the market sizing and positioning strategies for a product. Moins
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2 parts to the problem: 1. Reduce original set of points to only those that define skyline. To do this, a) take complete list of points (4 coords for each building in the bottom left, top left, top right, bottom right sequence) b) remove all adjacent dupes c) for each set of 3 adjacent points with the same X but different Ys, retain only the highest 2 Ys d) for each set of 3 adject points with same Y but different X, retain only the lowest X and the highest X. 2. Pass the outcome of 1 to a program that given a list of points, draws a line between every set of adjacent points Moins
Asked me how I monetized a mobile app which I had supervised. Kept digging on this issue even though I've plainly stated that I couldn't figure out an effective way to monetize a socialization-based mobile app. The flow of the interview got to a snail's pace.
5 réponses↳
A lot of Product Managers frustrate me because they focus on technology and/or interesting things to do. PM's primary objective is to build a product that achieves or strives to achieve one or more stated business goals. For monetization - customers are paying for silly and elementary services like note taking and even turning their smart phones into a glowstick/flashlight. You should have at least tried to think of a few possible ideas. Moins
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teclvr11. I agree that the main goal of a PM is a business goal. However, that's not the impression I get from Google PM interviews. I understand that Google is investing in great ideas for the future. However, these PM interviews seem to leave heavily toward technology and ideas. They care about market sizing but that's more for a brain exercise. We touched on very little about project/team management skills, P&L decision making, or other necessary business topics That particular PM focusing on monetization didn't even ask why I decided to leave that start-up. Moins
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Idea baiting? You are delusional. Please get off that high horse. They need to see you solve realistic problems. Your past performance and on the spot thinking are probably the best tests of how you'll do in the position. Moins
Tell me how you would scale a social media software platform?
3 réponses↳
Try to define "scale", ask for clarifications. Are we trying to scale to more users or to more ad providers? Are there any current bottlenecks? What is the goal here? How about we improve the experience by providing more relevant ads? etc... Moins
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Its such a tricky question. I guess its by the analytic we use to know the page views and all.. Moins
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I didn't have a good answer for this one.