"This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer.
Unfortunately, there's no formula for technical questions, but some general tips are:
Use analogies when you can
Break your solution into clear, bite-size steps
Don't be afraid to use examples to b"
Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer.
Unfortunately, there's no formula for technical questions, but some general tips are:
Use analogies when you can
Break your solution into clear, bite-size steps
Don't be afraid to use examples to b"See full answer
"DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page.
Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page.
Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC.
"
Medha A. - "DAU and MAU: The number of active users daily and monthly to gauge the content recommended on the home page.
Bounce Rate: The percentage of users who navigate away from the site after viewing only the home page.
Number of Signups: The number of users who signup after seeing the content on the homepage leading to lower CAC.
"See full answer
"I have softened recruited people through LinkedIn. People from LinkedIn are more than happy to share their feedback on new products and features and to my surprise, I also saved a lot of company money on recruiting through services and offered Amazon vouchers to participants instead."
Guru M. - "I have softened recruited people through LinkedIn. People from LinkedIn are more than happy to share their feedback on new products and features and to my surprise, I also saved a lot of company money on recruiting through services and offered Amazon vouchers to participants instead."See full answer
"I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"
Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer
"Evaluate product performance metrics against projections, rationalize performance, and identify opportunities to optimize performance"
Frank A. - "Evaluate product performance metrics against projections, rationalize performance, and identify opportunities to optimize performance"See full answer
"Just to clarify, I’m picturing that we have a install progress bar that we’re showing to the user, and for the initial stage of the install, we display one ad, then we show a different ad when the user is somewhere in the middle part of the installation, then show a third ad in the final step. Also, I assume that each slot must feature a different advertiser.
First I’ll set the scene on how ad campaigns work in general then describe how we’d prioritize them and what to display to the user.
A t"
Spencer W. - "Just to clarify, I’m picturing that we have a install progress bar that we’re showing to the user, and for the initial stage of the install, we display one ad, then we show a different ad when the user is somewhere in the middle part of the installation, then show a third ad in the final step. Also, I assume that each slot must feature a different advertiser.
First I’ll set the scene on how ad campaigns work in general then describe how we’d prioritize them and what to display to the user.
A t"See full answer
"Is this s shuttle service or the standard uber service? Let's assume the latter. First Uber should gather some data. Find cities similar to Bangalore in several measures that Uber already services. Al bring in cities in India that already are services by Uber, if any. With this in hand, do a multifactoral analysis to try and understand the likely demand in Bangalore. That will help the company understand how many drivers it needs to launch with, so that user expectations for service are met. Hir"
Lee F. - "Is this s shuttle service or the standard uber service? Let's assume the latter. First Uber should gather some data. Find cities similar to Bangalore in several measures that Uber already services. Al bring in cities in India that already are services by Uber, if any. With this in hand, do a multifactoral analysis to try and understand the likely demand in Bangalore. That will help the company understand how many drivers it needs to launch with, so that user expectations for service are met. Hir"See full answer
"I would think about the following
Inventory make up
Localization for Quebec
Device type distribution
Price comparison algorithm is tuned correctly
Dealer’s ability to merchandise their products
The answer is thinking through all these potential issues with the car buyer funnel to identify why potential buyers in Canada are converting at a lower rate.
"
Brad G. - "I would think about the following
Inventory make up
Localization for Quebec
Device type distribution
Price comparison algorithm is tuned correctly
Dealer’s ability to merchandise their products
The answer is thinking through all these potential issues with the car buyer funnel to identify why potential buyers in Canada are converting at a lower rate.
"See full answer
"This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"
Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"See full answer
"In Ideation phase, the below points should be concentrated on.
Ideation
Market research
Competitor Analysis
in the next phase it should be conceptualisation where we define the problem, find user persona and some of the feature priortization.
Next phase has to be validation where we build the MVP, do user testing, Iterate.
Then comes the prototyping, Development, QA, Marketing and Position.
After which we launch the product. may be a soft launch first and the proceed to full launch"
Sudhansu T. - "In Ideation phase, the below points should be concentrated on.
Ideation
Market research
Competitor Analysis
in the next phase it should be conceptualisation where we define the problem, find user persona and some of the feature priortization.
Next phase has to be validation where we build the MVP, do user testing, Iterate.
Then comes the prototyping, Development, QA, Marketing and Position.
After which we launch the product. may be a soft launch first and the proceed to full launch"See full answer
"I conducted an in-depth analysis of FedEx's business model, focusing on their primary operations which encompass pickup, transit, and delivery. I evaluated potential metrics across each stage, aiming to determine the most pertinent one for operational insights.
Initially, I proposed using the Fulfillment Ratio, calculated as the number of successful deliveries divided by the expected deliveries, to measure performance. However, the interviewer pointed out this metric's retrospective nature and"
Yatin K. - "I conducted an in-depth analysis of FedEx's business model, focusing on their primary operations which encompass pickup, transit, and delivery. I evaluated potential metrics across each stage, aiming to determine the most pertinent one for operational insights.
Initially, I proposed using the Fulfillment Ratio, calculated as the number of successful deliveries divided by the expected deliveries, to measure performance. However, the interviewer pointed out this metric's retrospective nature and"See full answer
"This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"
Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"See full answer
"Here are some ways I would evaluate the optimum number of notifications as a product manager:
Conduct user research and surveys to understand preferences on notification frequency. Ask users directly how many is too many for different types of notifications.
Analyze usage data to see when notifications start getting ignored or dismissed. Look for drop offs in engagement after a certain number of notifications.
A/B test different notification frequencies and content types. Measure the open"
Pattie K. - "Here are some ways I would evaluate the optimum number of notifications as a product manager:
Conduct user research and surveys to understand preferences on notification frequency. Ask users directly how many is too many for different types of notifications.
Analyze usage data to see when notifications start getting ignored or dismissed. Look for drop offs in engagement after a certain number of notifications.
A/B test different notification frequencies and content types. Measure the open"See full answer