"What is the goal of FB as a company, how does marketplace help.
Who are the different users (Sellers and buyers. Also mention advertisers). Sellers can be artists or small/ home business owners. they also also be infrequent sellers who come to FB marketplace when they are moving cities or moving to a new location. Buyers can be low and high engagement.
We will focus on sellers - if more sellers come on the platform, it will attract buyers, generate sales, and spin the flywheel. Also, if a sel"
Neha A. - "What is the goal of FB as a company, how does marketplace help.
Who are the different users (Sellers and buyers. Also mention advertisers). Sellers can be artists or small/ home business owners. they also also be infrequent sellers who come to FB marketplace when they are moving cities or moving to a new location. Buyers can be low and high engagement.
We will focus on sellers - if more sellers come on the platform, it will attract buyers, generate sales, and spin the flywheel. Also, if a sel"See full answer
"Problem & Users
What is the primary problem the App is trying to solve?
Who is the primary user for the App?
What is the core value proposition and what business model does it employ to serve the value?
What are the business goals the app is trying to achieve and how effective is their strategy
Structure
Is the purpose of the app clearly conveyed?
How is the overall use of space? Is there enough negative space?
How does the Information Architecture help users accomplish de"
Ben G. - "Problem & Users
What is the primary problem the App is trying to solve?
Who is the primary user for the App?
What is the core value proposition and what business model does it employ to serve the value?
What are the business goals the app is trying to achieve and how effective is their strategy
Structure
Is the purpose of the app clearly conveyed?
How is the overall use of space? Is there enough negative space?
How does the Information Architecture help users accomplish de"See full answer
"We are asked to calculate Sum(over value) for time in (t - window_size, t) where key in (key criteria).
To develop a function to set this up.
Let w be the window size. I would have an observer of some kind note the key-value, and for the first w windows just add the value to a temporary variable in memory if the key meets the key criteria. Then it would delete the oldest value and add the new value if the new key meets the criteria. At each step after "w", we would take the sum / w and store"
Prashanth A. - "We are asked to calculate Sum(over value) for time in (t - window_size, t) where key in (key criteria).
To develop a function to set this up.
Let w be the window size. I would have an observer of some kind note the key-value, and for the first w windows just add the value to a temporary variable in memory if the key meets the key criteria. Then it would delete the oldest value and add the new value if the new key meets the criteria. At each step after "w", we would take the sum / w and store"See full answer
"A confidence interval gives you a range of values where you can be reasonably sure the true value of something lies. It helps us understand the uncertainty around an estimate we've measured from a sample of data. Typically, confidence intervals are set at the 95% confidence level. For example, A/B test results show that variant B has a CTR of 10.5% and its confidence intervals are [9.8%, 11.2%], this means that based on our sampled data, we are 95% confident that the true avg CTR for variant B a"
Lucas G. - "A confidence interval gives you a range of values where you can be reasonably sure the true value of something lies. It helps us understand the uncertainty around an estimate we've measured from a sample of data. Typically, confidence intervals are set at the 95% confidence level. For example, A/B test results show that variant B has a CTR of 10.5% and its confidence intervals are [9.8%, 11.2%], this means that based on our sampled data, we are 95% confident that the true avg CTR for variant B a"See full answer
"Clarify the problem / make assumptions:
What are we defining as misleading?
For this problem, any video that contains information countering accepted scientific/research-driven results
What is meant by fix? Does that entail removing said videos?
For this problem, I want to see if we can minimize the amount of videos pulled from YouTube
Intro to the product:
YouTube is a video-sharing platform that was acquired by Google in 2006
YouTube's original mission statement:"
slouchingtowardssv - "Clarify the problem / make assumptions:
What are we defining as misleading?
For this problem, any video that contains information countering accepted scientific/research-driven results
What is meant by fix? Does that entail removing said videos?
For this problem, I want to see if we can minimize the amount of videos pulled from YouTube
Intro to the product:
YouTube is a video-sharing platform that was acquired by Google in 2006
YouTube's original mission statement:"See full answer
"Me: thanks for the question. Could you tell me what type of drone is it and what is the user segment?
Interviewer: What you mean by type of drone?
Me: Is it a premium drone with premium features like a camera or it's more on the cheaper side?
Interviewer: It's a normal drone with basic features, a good camera but nothing professional and it has the Google brand. The users are amateur drone users.
Me: Awesome, is there anything specific about this drone in relation to others? You mentioned th"
Talles S. - "Me: thanks for the question. Could you tell me what type of drone is it and what is the user segment?
Interviewer: What you mean by type of drone?
Me: Is it a premium drone with premium features like a camera or it's more on the cheaper side?
Interviewer: It's a normal drone with basic features, a good camera but nothing professional and it has the Google brand. The users are amateur drone users.
Me: Awesome, is there anything specific about this drone in relation to others? You mentioned th"See full answer
"I prefer to build a team of complementary skills than being skewed on one aspect. And generally avoid an all rockstar team.
Technically, this means we will have atleast one rockstar for one skill and it is acceptable if that rockstar is just an avg performer on other skills
Which person gets indexed more on which skill is a time to time exercise depending on needs of the org, product charter and career aspirations of the person."
RestlessMonk - "I prefer to build a team of complementary skills than being skewed on one aspect. And generally avoid an all rockstar team.
Technically, this means we will have atleast one rockstar for one skill and it is acceptable if that rockstar is just an avg performer on other skills
Which person gets indexed more on which skill is a time to time exercise depending on needs of the org, product charter and career aspirations of the person."See full answer
"1) Have a common goal
2) Have a clear and fair accountability between teams
3) Ensure conflicts are resolved in time on common issues
4) Promote common Brain-storming , problem solving sessions
5) Most important , Have clear and effective communication established and practised"
Saurabh N. - "1) Have a common goal
2) Have a clear and fair accountability between teams
3) Ensure conflicts are resolved in time on common issues
4) Promote common Brain-storming , problem solving sessions
5) Most important , Have clear and effective communication established and practised"See full answer
"A Random Forest works by building an ensemble of decision trees, each trained on a slightly different version of the data. The key mechanism is bagging: for each tree, we sample the training data with replacement (bootstrapping), so every tree sees a different subset of examples. On top of that, at each split the algorithm randomly selects a subset of features, so trees explore different predictors.
These two sources of randomness decorrelate the trees. When we aggregate them — by averag"
Yuexiang Y. - "A Random Forest works by building an ensemble of decision trees, each trained on a slightly different version of the data. The key mechanism is bagging: for each tree, we sample the training data with replacement (bootstrapping), so every tree sees a different subset of examples. On top of that, at each split the algorithm randomly selects a subset of features, so trees explore different predictors.
These two sources of randomness decorrelate the trees. When we aggregate them — by averag"See full answer
"Clarifying Questions:
What currently defines profile completion? Does it have to be 100% completion or something like 80% of all available profile attributes. Or is it some specific set of must-have profile attributes like bio, current job, previous experience, etc.
May I know some successful things that are helping users complete their profiles today and some unsuccessful ones as well that we tried but did not show lift in profile completion metrics?
Goal:
Engagement from free u"
Jacob C. - "Clarifying Questions:
What currently defines profile completion? Does it have to be 100% completion or something like 80% of all available profile attributes. Or is it some specific set of must-have profile attributes like bio, current job, previous experience, etc.
May I know some successful things that are helping users complete their profiles today and some unsuccessful ones as well that we tried but did not show lift in profile completion metrics?
Goal:
Engagement from free u"See full answer
"One time I refuse someone that I can’t help them because I was busy working on my task that required a long time for me to complete it but once I explain to them why I could NOT help them, they totally understand it and then they ask the front desk."
Amparo L. - "One time I refuse someone that I can’t help them because I was busy working on my task that required a long time for me to complete it but once I explain to them why I could NOT help them, they totally understand it and then they ask the front desk."See full answer
"The cases where data is under heavy outlier influence. Since mean fluctuates due to the presence of an outlier, median might be a better measure"
Himani E. - "The cases where data is under heavy outlier influence. Since mean fluctuates due to the presence of an outlier, median might be a better measure"See full answer
"Potential ad creators:
Brands
Drivers
Travel services.
Goal: To create a revenue stream. Acquire new users? To potentially develop new products? For now, lets focus on generating revenue as the goal.
Potential ad products:
Ads from brands you can watch while you are riding. Most riders dont look at the app while riding but we can provide them incentives like 5% off next ride if they watch ads the whole ride and pay it via ad revenue.
Drivers can pay Lyft to be matched more w"
M N. - "Potential ad creators:
Brands
Drivers
Travel services.
Goal: To create a revenue stream. Acquire new users? To potentially develop new products? For now, lets focus on generating revenue as the goal.
Potential ad products:
Ads from brands you can watch while you are riding. Most riders dont look at the app while riding but we can provide them incentives like 5% off next ride if they watch ads the whole ride and pay it via ad revenue.
Drivers can pay Lyft to be matched more w"See full answer
"I'd do an audit of what we understand, the gaps and the risks.
What information do we have and how confident do we feel?
What assumptions do we have?
What do we not know?
What is the risk of making certain assumptions?
With this information, and a pulse of your team you can get an understanding of the risk level for moving forward. If the risk is high, you need to go back to leadership with the evidence and ask for more time.
**What's the risk if we don't launch on"
James W. - "I'd do an audit of what we understand, the gaps and the risks.
What information do we have and how confident do we feel?
What assumptions do we have?
What do we not know?
What is the risk of making certain assumptions?
With this information, and a pulse of your team you can get an understanding of the risk level for moving forward. If the risk is high, you need to go back to leadership with the evidence and ask for more time.
**What's the risk if we don't launch on"See full answer