Keystone Strategy Interview Questions
The Interview Experience is a score from 1 star (very negative) to 5 stars (very positive) generated based on the Interview Insights at this company.
The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
- Very Negative
- Negative
- Neutral
- Positive
- Very Positive
The Interview Difficulty is a score ranging from very difficult (red) to very easy (green) generated based on the Interview Insights at this company.
The number you see in the middle of the doughnut pie chart is the simple average of these scores. The higher the number, the more difficult the interviews on average. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more insights, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire data set.
- Very Easy
- Easy
- Average
- Difficult
- Very Difficult
Interview Questions & Answers - Keystone Strategy Examples
Summer Associate Intern Interview - Generalist
I approached this question by first assuming Instagram's value as the sum of its cash flows. By making an estimate of how frequently Instagram was used and making assumptions about the cash generated from ads, I gave a ballpark number of how much revenue Instagram received for each user. Then estimated the number of users for Instagram and multiplied to get an idea of cash revenue.
Then I considered the brand value of Instagram. It was essentially just comp evaluation. I combined the two to derive a value for Instagram. At the end I checked to see if my value was realistic just in case I made a multiplication error.
My approach to this question was very boring. I estimated the average no. of friends a typical fb user has. Then I constructed a series of multiples. Percentage of friends who would actually pay attention, specifically I created 3 subset of close friends, middle, and just acquaintances. This gave me a quick figure. Using this data I made an estimate on exposure. The final number was far too high.
The next method I attempted was use make an estimate based on likes. I assumed that regardless of no. of friends the number likes a picture received was relatively constant. Using my phone I got a quick average, then adjusted the number to reflect that not every viewer would like a photo. The number was far more acceptable
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