"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
"At Facebook, you notice a sudden spark in DAUs in Indonesia — how would you determine the cause of this?
I'd like to clarify a few things before starting to brainstorm root causes to hopefully narrow down the number of possibilities if you don't mind? - Not at all, please go ahead...
Over what time frame has this spark occurred? - DAU's have sparked over the past 3 weeks.
Thank you! Next, what are we qualifying DAU as? Is it simply just a user opening the app at least once during the"
Ivan B. - "At Facebook, you notice a sudden spark in DAUs in Indonesia — how would you determine the cause of this?
I'd like to clarify a few things before starting to brainstorm root causes to hopefully narrow down the number of possibilities if you don't mind? - Not at all, please go ahead...
Over what time frame has this spark occurred? - DAU's have sparked over the past 3 weeks.
Thank you! Next, what are we qualifying DAU as? Is it simply just a user opening the app at least once during the"See full answer
"Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations
Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"
Prashant R. - "Goal of the pilot deployment: 1) Evaluate if riders would choose self driving cars (SDC) over regular driver operated cars 2) Test SDC performance/efficiency in given area before scaling operations
Interviewer liked my goals and asked me to proceed , this is where I got stuck. I wasnt sure if this was an algorithmic based problem or something else and started saying about general issues SDC may have that may impact customer experience such as SDC waiting too long in traffic affecting ETA, SDC"See full answer
"The first aspect to review before any task is who is/are the ultimate 'owner' for this job? The next thing to consider is 'repetitiveness' of the job itself. The job can be simple or complex. For simple and the ownership factor align with my team... then that task is delegated. If the job is complex and the team ultimately owns the task, then I provide careful support to guide in the right direction."
Prasad M. - "The first aspect to review before any task is who is/are the ultimate 'owner' for this job? The next thing to consider is 'repetitiveness' of the job itself. The job can be simple or complex. For simple and the ownership factor align with my team... then that task is delegated. If the job is complex and the team ultimately owns the task, then I provide careful support to guide in the right direction."See full answer
"Timeline and trends
analyze period when the CTR was down
Check external factors
Seasonality and holidays
Competitive factors
Industry-wide changes
Ad performance analysis
Ad copy
Product feed quality
Pricing
Promotions and discounts
Audience targeting and segmentation
Specific demographics?
User segment?
Device across mobile, desktop, and tablet
Ad placement and auction insights
Anything changed with ad placement?"
Varun J. - "Timeline and trends
analyze period when the CTR was down
Check external factors
Seasonality and holidays
Competitive factors
Industry-wide changes
Ad performance analysis
Ad copy
Product feed quality
Pricing
Promotions and discounts
Audience targeting and segmentation
Specific demographics?
User segment?
Device across mobile, desktop, and tablet
Ad placement and auction insights
Anything changed with ad placement?"See full answer
"Clarifying Qns:
Note: How do we define DAUs? Let's say it's open ended and based on general engagement (watch time, comments, etc.)
Did the watch time went down and comments went up for the same videos or are we saying total watch time and total comments on Youtube? (Total)
I am assuming we are not including Youtube Live videos because those are typically live chat 1000’s of comments for a single video. (Correct)
Do we know if these two could be independent problems not correlated wit"
Shubh T. - "Clarifying Qns:
Note: How do we define DAUs? Let's say it's open ended and based on general engagement (watch time, comments, etc.)
Did the watch time went down and comments went up for the same videos or are we saying total watch time and total comments on Youtube? (Total)
I am assuming we are not including Youtube Live videos because those are typically live chat 1000’s of comments for a single video. (Correct)
Do we know if these two could be independent problems not correlated wit"See full answer
"I would firstly see what's the trend of the sales by monthly, daily, and yearly to see when was the decline started and what happened during that time. I would also look at the sales by different customer or product segmentation to see what segment had the most decline in sales. Then, I would make some hypothesis where like for this age range customers with this product segment had a decline in sales due to XXX and we would increase the sales by YYY with this new feature. Then I would design the"
Jiin S. - "I would firstly see what's the trend of the sales by monthly, daily, and yearly to see when was the decline started and what happened during that time. I would also look at the sales by different customer or product segmentation to see what segment had the most decline in sales. Then, I would make some hypothesis where like for this age range customers with this product segment had a decline in sales due to XXX and we would increase the sales by YYY with this new feature. Then I would design the"See full answer
"This question is a Diagnosis Question.
Let's follow the template for answering Diagnosis Questions:
Ask clarifying questions
List potential high level reasons
Gather context (with TROPIC method!)
Establish a theory of probably cause
Test theories
Give a potential solution
Summarize
Ask Clarifying Questions
Before we begin, it's important to ask clarifying questions if necessary. This question is quite straight forward so we may not have ma"
Exponent - "This question is a Diagnosis Question.
Let's follow the template for answering Diagnosis Questions:
Ask clarifying questions
List potential high level reasons
Gather context (with TROPIC method!)
Establish a theory of probably cause
Test theories
Give a potential solution
Summarize
Ask Clarifying Questions
Before we begin, it's important to ask clarifying questions if necessary. This question is quite straight forward so we may not have ma"See full answer
"Opportunity cost, cost of improving the feature, and its's further benefits.
Overall business objective, Business stage. [Let's say we haven't acquired much of the customers, so thinking about improving the service won't be a good idea. We should try to scale when it is required.]"
Anonymous Muskox - "Opportunity cost, cost of improving the feature, and its's further benefits.
Overall business objective, Business stage. [Let's say we haven't acquired much of the customers, so thinking about improving the service won't be a good idea. We should try to scale when it is required.]"See full answer
"Situation: Narrated about a time when the decision favored the most important customer, but appeared to be at the cost of diluting my own company's brand value.
Context: Provided additional context around why the ask from the customer is very critical for the customer. And why my leadership wasn't ready to jump on the gun as it was cannibalistic to our brand value.
Response:
I used data to explain why it is not going to be a big blow to our brand value. Used a counter metric to show that we h"
Bhagya D. - "Situation: Narrated about a time when the decision favored the most important customer, but appeared to be at the cost of diluting my own company's brand value.
Context: Provided additional context around why the ask from the customer is very critical for the customer. And why my leadership wasn't ready to jump on the gun as it was cannibalistic to our brand value.
Response:
I used data to explain why it is not going to be a big blow to our brand value. Used a counter metric to show that we h"See full answer