MEETING 3 (04/07/2022) > Discussion 2 (Case Study # 1 - Innovation at Uber: The Launch...

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MEETING 3 (04/07/2022) > Discussion 2 (Case Study # 1 - Innovation at Uber: The Launch of Express POOL) - 5.0% Note: Please read through the Case Study (as attached) and upload your answers in the portal (by 04/07). Discussion on your answers will be done on 04/07. Instructions: Based on the Case Study on Innovation at Uber The Launch of Express POOL, you are required to critically discuss the problem and recommend the solution. You may refer to the following guiding questions to structure your argument and suggestions. 1. How does Uber innovate? What is the role of data science in innovation at Uber? 2. Why does Uber have so many different ways to run experiments? What are the pros and cons of each type? 3. Evaluate the Express development project. What did Uber do well in this project? What could have been improved? 4. Based on the data available to you, other insights from the dataset, and additional qualitative considerations, what would you recommend that Stock do? Should he increase wait times from two to five minutes in the six treatment cities of the experimental launch? If so, when should he do so? MEETING 3 (04/07/2022) > Discussion 2 (Case Study # 1 - Innovation at Uber: The Launch of Express POOL) - 5.0% Note: Please read through the Case Study (as attached) and upload your answers in the portal (by 04/07). Discussion on your answers will be done on 04/07. Instructions: Based on the Case Study on Innovation at Uber The Launch of Express POOL, you are required to critically discuss the problem and recommend the solution. You may refer to the following guiding questions to structure your argument and suggestions. 1. How does Uber innovate? What is the role of data science in innovation at Uber? 2. Why does Uber have so many different ways to run experiments? What are the pros and cons of each type? 3. Evaluate the Express development project. What did Uber do well in this project? What could have been improved? 4. Based on the data available to you, other insights from the dataset, and additional qualitative considerations, what would you recommend that Stock do? Should he increase wait times from two to five minutes in the six treatment cities of the experimental launch? If so, when should he do so?