"Clarify:
who owns previous seasons? are we competing against them?
Cost based:
Cost >= Revenue generated
Revenue = subscribers + advertisements
subscribers = new subscribers (joining for the season) x avg spend on plan
advertisements = total viewors (new + existing) x total season duration x ads/unit time x rev/ ad display
Costs = pricing of the show + operational costs (data center cost + streaming cost)
"
Rev - "Clarify:
who owns previous seasons? are we competing against them?
Cost based:
Cost >= Revenue generated
Revenue = subscribers + advertisements
subscribers = new subscribers (joining for the season) x avg spend on plan
advertisements = total viewors (new + existing) x total season duration x ads/unit time x rev/ ad display
Costs = pricing of the show + operational costs (data center cost + streaming cost)
"See full answer
"Clarification Questions
Do we need to calculate what we are seeing and processing or we want to process our unconscious thoughts in the memory as well? [You can have ]
And we need to calculate the amount of storage for a person in single day? [Yes]
For more product management interview experience
https://technomanagers101.blogspot.com/
High Level Formula = (24 hours - 6 hours of sleep(assuming no processing))([(4 hours of Concentration)(3.5 GB/hr analogous to movie playing at 108"
Anonymous Muskox - "Clarification Questions
Do we need to calculate what we are seeing and processing or we want to process our unconscious thoughts in the memory as well? [You can have ]
And we need to calculate the amount of storage for a person in single day? [Yes]
For more product management interview experience
https://technomanagers101.blogspot.com/
High Level Formula = (24 hours - 6 hours of sleep(assuming no processing))([(4 hours of Concentration)(3.5 GB/hr analogous to movie playing at 108"See full answer
"Clarifications:
Do we consider window for any building or only residences? I will ignore windows in cars for complexity reasons.
Pardon my ignorance for not knowing the size and population of Tehran, Would you mind sharing some inputs or is it okay if pick some Randoms?
Analysis:
Tehran is ~300 sq. miles in terms of land area with an overall population of 9 MM with an average 3.5 members per household.
_I will be moving with windows for residences only and then gut check my response"
RockyBalboa - "Clarifications:
Do we consider window for any building or only residences? I will ignore windows in cars for complexity reasons.
Pardon my ignorance for not knowing the size and population of Tehran, Would you mind sharing some inputs or is it okay if pick some Randoms?
Analysis:
Tehran is ~300 sq. miles in terms of land area with an overall population of 9 MM with an average 3.5 members per household.
_I will be moving with windows for residences only and then gut check my response"See full answer
"Clarifying questions
Key value proposition of the product: an app that the blind can use to hail taxi service.
User type: fully blind people, based in the USA.
Form Factor: Mobile app for iOS and Android
Target market
Mobility is a basic human need. Currently, blind people are either dependent on others OR have to compromise on being mobile. -> Importance of problem is high
People need to visit multiple places in a day: work, leisure activities, social life etc. --> the frequency of"
Rahul J. - "Clarifying questions
Key value proposition of the product: an app that the blind can use to hail taxi service.
User type: fully blind people, based in the USA.
Form Factor: Mobile app for iOS and Android
Target market
Mobility is a basic human need. Currently, blind people are either dependent on others OR have to compromise on being mobile. -> Importance of problem is high
People need to visit multiple places in a day: work, leisure activities, social life etc. --> the frequency of"See full answer
"This is another Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your"
Exponent - "This is another Fermi problem — an estimation or approximation problem with limited information and back-of-the-envelope calculations. There's no right answer: interviewers want to understand how you think and how well you can explain your reasoning, rather than what you already know.
Recall the formula for Fermi problems:
Ask clarifying questions
Catalog what you know
Make equation(s)
Think about edge cases to add to equation
**Breakdown components of your"See full answer
"i asked if she meant operations business analytics metrics.. she clarified that she meant operational/stability metrics.. i explained that i used dynatrace to monitor the product and she said i want to know about SLAs etc. she was looking for the words SLA SLO and SLI.. i then explained SLA 99.99% various SLO's contributed to it like system uptime, continous testing of business functions, and incident mgmt metrics."
Sayee M. - "i asked if she meant operations business analytics metrics.. she clarified that she meant operational/stability metrics.. i explained that i used dynatrace to monitor the product and she said i want to know about SLAs etc. she was looking for the words SLA SLO and SLI.. i then explained SLA 99.99% various SLO's contributed to it like system uptime, continous testing of business functions, and incident mgmt metrics."See full answer
"On the topic of personalisation the main complexity comes from stitching the data together so that you can create a curated and hopefully personal experience for the consumers (e.g. product offer that match user's interest).
Since the existing technology we use, especially on the app, do not support some of of the BE foundations needed to personalize omni-channel the main complexity is in integrating with the BE services especially creating connected data pipelines. My main contribution is in"
Delyan P. - "On the topic of personalisation the main complexity comes from stitching the data together so that you can create a curated and hopefully personal experience for the consumers (e.g. product offer that match user's interest).
Since the existing technology we use, especially on the app, do not support some of of the BE foundations needed to personalize omni-channel the main complexity is in integrating with the BE services especially creating connected data pipelines. My main contribution is in"See full answer