"Asked clarifying questions to understand why we want to do this. Said building is too labor intensive and AirBnB has years of experience in this. Said buying a company is probably too expensive and doesn't address why we're doing this to begin with. I said partnering with a travel company might be the best move."
Andrea M. - "Asked clarifying questions to understand why we want to do this. Said building is too labor intensive and AirBnB has years of experience in this. Said buying a company is probably too expensive and doesn't address why we're doing this to begin with. I said partnering with a travel company might be the best move."See full answer
"Clarifying questions
Financial savviness is it related means
Digital wallet
Prudent Spending habits
Intuitive savings
Google's mission is to organize the world's information and make it universally accessible and useful
Geographical or any other constraint
Product goal - This is in total alignment with Google's mission as it is trying to provide the consumers their financial information and making it useful.
Engagement
User personas
Students
Millennials
Professionals
-"
Y C. - "Clarifying questions
Financial savviness is it related means
Digital wallet
Prudent Spending habits
Intuitive savings
Google's mission is to organize the world's information and make it universally accessible and useful
Geographical or any other constraint
Product goal - This is in total alignment with Google's mission as it is trying to provide the consumers their financial information and making it useful.
Engagement
User personas
Students
Millennials
Professionals
-"See full answer
"Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"
Susmita S. - "Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"See full answer
"Below are few key things enterprises look for in a data center :
Location
Proximity to target user base
Potential risk exposure due to natural calamities (hurricane, storms, tornedos etc)
Real estate cost (Service cost will also be proportional to how expensive it is to acquire and run data center)
Security
Physical security
Logical security (Segregation)
Industry standard compliance
PCI DSS
ISO etc
Ability to support HA and DR requir"
Hmm T. - "Below are few key things enterprises look for in a data center :
Location
Proximity to target user base
Potential risk exposure due to natural calamities (hurricane, storms, tornedos etc)
Real estate cost (Service cost will also be proportional to how expensive it is to acquire and run data center)
Security
Physical security
Logical security (Segregation)
Industry standard compliance
PCI DSS
ISO etc
Ability to support HA and DR requir"See full answer
Technical
🧠 Want an expert answer to a question? Saving questions lets us know what content to make next.
"Clarifying Questions:
Why does Meta want to build this product ? {Aligns with Meta's mission of connecting people}
What's the goal ? Does Meta want to monetise this initiative in any way? {It wants to increase the total number of users using this platform and then in the mid-term increase engagement}
User Groups:
Young (20-40), tech-savvy working professional; seeking doctor consultation for self, friends and family members (First)
Older mass (50+), seeking frequent and accessible doct"
Anonymous Moose - "Clarifying Questions:
Why does Meta want to build this product ? {Aligns with Meta's mission of connecting people}
What's the goal ? Does Meta want to monetise this initiative in any way? {It wants to increase the total number of users using this platform and then in the mid-term increase engagement}
User Groups:
Young (20-40), tech-savvy working professional; seeking doctor consultation for self, friends and family members (First)
Older mass (50+), seeking frequent and accessible doct"See full answer
"One technique we like to use when explaining technical concepts to non-technical people is to use analogies to help with memory retention.
For this type of question, we'll use the Restaurant example:
> Imagine you're at a restaurant with a variety of waiters - each waiter will only take your order for one specific item (i.e. one waiter for pizza, one waiter for pasta, etc.). An API is like a waiter in this example as it will only perform a specific order. An SDK on the other hand is like having"
Exponent - "One technique we like to use when explaining technical concepts to non-technical people is to use analogies to help with memory retention.
For this type of question, we'll use the Restaurant example:
> Imagine you're at a restaurant with a variety of waiters - each waiter will only take your order for one specific item (i.e. one waiter for pizza, one waiter for pasta, etc.). An API is like a waiter in this example as it will only perform a specific order. An SDK on the other hand is like having"See full answer
"solving too much demand and not enough supply; look at how many users are unable to find a ride within a reasonable amt of time (to be defined)
would
would increase prices everytime someone doesn't get a ride at small intervals. In a few minutes, the prices would increase to an equilibrium."
Akhil S. - "solving too much demand and not enough supply; look at how many users are unable to find a ride within a reasonable amt of time (to be defined)
would
would increase prices everytime someone doesn't get a ride at small intervals. In a few minutes, the prices would increase to an equilibrium."See full answer
"Null hypothesis (H0): the coin is fair (unbiased), meaning the probability of flipping a head is 0.5
Alternative (H1): the coin is unfair (biased), meaning the probability of flipping a head is not 0.5
To test this hypothesis, I would calculate a p-value which is the probability of observing a result as extreme as, or more extreme than, what I say in my sample, assuming the null hypothesis is true.
I could use the probability mass function of a binomial random variable to model the coin toss b"
Lucas G. - "Null hypothesis (H0): the coin is fair (unbiased), meaning the probability of flipping a head is 0.5
Alternative (H1): the coin is unfair (biased), meaning the probability of flipping a head is not 0.5
To test this hypothesis, I would calculate a p-value which is the probability of observing a result as extreme as, or more extreme than, what I say in my sample, assuming the null hypothesis is true.
I could use the probability mass function of a binomial random variable to model the coin toss b"See full answer
"This is a classic Favorite Product question with a constrained product type. For this, we want to make sure it's a SaaS product. Let's go over the Favorite Product formula before diving in:
Choose a product and briefly explain what it is
Who are the users?
What are their pain points?
How did competitors solve it in the past?
How does this product address these pain points differently and better?
How would you improve it/make it better?
**Summarize"
Exponent - "This is a classic Favorite Product question with a constrained product type. For this, we want to make sure it's a SaaS product. Let's go over the Favorite Product formula before diving in:
Choose a product and briefly explain what it is
Who are the users?
What are their pain points?
How did competitors solve it in the past?
How does this product address these pain points differently and better?
How would you improve it/make it better?
**Summarize"See full answer
"We've identified the problem as a Design a Product question. Use the following framework for tackling these types of questions:
Ask Clarifying Questions
Identify users, behaviors, and pain points
State product goal
Identify current solutions
Brainstorm new solutions
Evaluate solutions
Measure success
Summarize
We'll go through each of these step by step.
Ask Clarifying Questions
The PM interview isn't about your ability to come up w"
Stephen C. - "We've identified the problem as a Design a Product question. Use the following framework for tackling these types of questions:
Ask Clarifying Questions
Identify users, behaviors, and pain points
State product goal
Identify current solutions
Brainstorm new solutions
Evaluate solutions
Measure success
Summarize
We'll go through each of these step by step.
Ask Clarifying Questions
The PM interview isn't about your ability to come up w"See full answer