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How would you test the viability of expanding Airbnb’s "Restaurant" product to a new region?
Data Analyst
Data Analysis
+2 more
1 answer I was asked this
"First, I want to understand why Airbnb is considering expanding into the restaurant space. Is the goal more user engagement, or unlock new monetization paths, or make the travel journey more memorable by connecting people with food? Next, I want to define what success would look like for this expansion. That could mean high guest engagement or a boost in revenue. Third, I will look at things like the volume of Airbnb travelers to the region, how big the dining market is, who the local competitor"
Ravindra R. - "First, I want to understand why Airbnb is considering expanding into the restaurant space. Is the goal more user engagement, or unlock new monetization paths, or make the travel journey more memorable by connecting people with food? Next, I want to define what success would look like for this expansion. That could mean high guest engagement or a boost in revenue. Third, I will look at things like the volume of Airbnb travelers to the region, how big the dining market is, who the local competitor"See full answer
Data Analyst
Data Analysis
+2 more
Meta plans to launch a new video feature for young adults. How would you assess product-market fit and define success metrics?
Execution
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Execution
How would you identify a conversation in comments?
Data Scientist
Execution
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Data Scientist
Execution
Asked at Meta (Facebook) • 14 days ago
A user advocacy group raises concerns about accessibility for individuals with hearing disabilities. What are some product improvements for Facebook Live and Videos, and how would you define succes...
Data Scientist
Execution
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Data Scientist
Execution
A PM proposes changing Instagram’s messaging system to allow interactions with third-party businesses. How would you determine whether the change is a good idea?
Execution
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Execution

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Asked at Meta (Facebook) • 14 days ago
Instagram sees a 5% decrease in Daily Active Users (DAU) over a week. How do you determine the root cause?
Data Scientist
Analytical
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Data Scientist
Analytical
Asked at Meta (Facebook) • 14 days ago
How can you improve Facebook’s DAU?
Data Scientist
Analytical
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Data Scientist
Analytical
How do you handle network effects in A/B testing?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
What is A/B testing and when should it be used?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
What if your test metric is not normally distributed?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How do you detect novelty or primary effects in experiments?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
How would you explain the importance of sampling distribution in inferential statistics?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Why might a statistically significant result not always be practically significant?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Why might an unbiased estimator not always be preferred over a biased one?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
If you sample 10,000 users multiple times, what would the distribution of false positives look like?
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation
How would you measure correlation in the presence of outliers?
Data Scientist
Statistics & Experimentation
Add answer I was asked this
Data Scientist
Statistics & Experimentation
Asked at Google • 14 days ago
A PM at Google asked you to describe the distribution of daily search queries per user. How would you describe it?
Data Scientist
Statistics & Experimentation
1 answer I was asked this
"Daily search queries per user is expected to be skewed, such that a long tail of users have higher than average number of queries per user while a large majority of the users have fewer queries. The distribution is likely to be right skewed."
Saurabh K. - "Daily search queries per user is expected to be skewed, such that a long tail of users have higher than average number of queries per user while a large majority of the users have fewer queries. The distribution is likely to be right skewed."See full answer
Data Scientist
Statistics & Experimentation
Asked at Meta (Facebook) • 14 days ago
A PM at Meta asked you to describe the distribution of daily minutes spent on Facebook per user. How would you describe it?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Asked at Amazon • 14 days ago
Hypothesis Testing: Suppose a PM claims that users, on average, spend about $50 per month on Amazon. However, you doubt this claim and believe the average should be higher. You sample 100 users and...
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation
Say you flip a coin 10 times and observe only one head. What would be your null hypothesis and p-value for testing whether the coin is fair or not?
Data Scientist
Statistics & Experimentation
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Data Scientist
Statistics & Experimentation

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Interview Questions

How would you test the viability of expanding Airbnb’s "Restaurant" product to a new region?

Meta plans to launch a new video feature for young adults. How would you assess product-market fit and define success metrics?

How would you identify a conversation in comments?

A user advocacy group raises concerns about accessibility for individuals with hearing disabilities. What are some product improvements for Facebook Live and Videos, and how would you define succes...

A PM proposes changing Instagram’s messaging system to allow interactions with third-party businesses. How would you determine whether the change is a good idea?

Instagram sees a 5% decrease in Daily Active Users (DAU) over a week. How do you determine the root cause?

How can you improve Facebook’s DAU?

How do you handle network effects in A/B testing?

What is A/B testing and when should it be used?

What if your test metric is not normally distributed?

How do you detect novelty or primary effects in experiments?

How would you explain the importance of sampling distribution in inferential statistics?

Why might a statistically significant result not always be practically significant?

Why might an unbiased estimator not always be preferred over a biased one?

If you sample 10,000 users multiple times, what would the distribution of false positives look like?

How would you measure correlation in the presence of outliers?

A PM at Google asked you to describe the distribution of daily search queries per user. How would you describe it?

A PM at Meta asked you to describe the distribution of daily minutes spent on Facebook per user. How would you describe it?

Hypothesis Testing: Suppose a PM claims that users, on average, spend about $50 per month on Amazon. However, you doubt this claim and believe the average should be higher. You sample 100 users and...

Say you flip a coin 10 times and observe only one head. What would be your null hypothesis and p-value for testing whether the coin is fair or not?

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