In the second case study, they give you real data with shifts created by nursing homes and logs of the bookings and cancelations by nurses. You have to come up with an idea to solve late cancelations by healthcare professionals
Strategy Operations Interview Questions
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lyft case - toledo - optimize CAC and LTV
https://creatingvalue.substack.com/p/real-problems-we-tackle-pricing-level This is a link to the exact case you answer and the other steps in the interview
Case study on Lyft pricing optimization.
- questions about the specifics of how I answered my case
How would you deal with an increased customer sensitivity to cost?
Why do you want to work here
If rider price changed, what could Lyft use/analyze to maximize revenue?
Explain how you modeled the growth of drivers/riders
The interview was entirely based on a case. The case itself required a lot of critical thinking. The interview was the worst I’ve ever experienced. Expect to be peppered with a lot of poorly worded questions at breakneck speed.
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