The specific questions asked during a phone screening round can vary greatly depending on the company and the specific role. However, based on the content provided, it seems that Google, for example, puts a strong emphasis on estimation questions and technical questions, which may require you to write code on a whiteboard. They also assess your technical, product, and analytical skills. It's important to note that you'll need an average interview score of 3.0 or 4.0 and at least one interviewer who strongly supports your candidature to qualify.

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Cracking the PM Interview

How do you ace one of the toughest job interviews there is? When you apply to be a Product Manager, you will be asked to make sound business decisions...

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Google puts a strong emphasis on estimation questions and technical questions, which will include the need to write code on a whiteboard. There are separate interviews to assess your technical, product and analytical skills. To qualify, a candidate needs an average interview score of 3.0 or 4.0 and at least one interviewer who strongly supports your candidature.

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A company in a traditional sector like manufacturing or retail can apply the interview approaches discussed in the book by focusing on the candidate's ability to make sound business decisions with incomplete data. They can put emphasis on estimation questions and technical questions, assessing the candidate's technical, product, and analytical skills. The candidate should also demonstrate a strong understanding of the company's products, product strategy, and user goals. It's also beneficial to have at least one interviewer who strongly supports the candidate's candidature.

Strong technical, product, and analytical skills are crucial for a Product Manager (PM) role. Technical skills enable a PM to understand the feasibility of product features and communicate effectively with the engineering team. Product skills help in understanding the market, user needs, and in shaping the product strategy. Analytical skills are essential for making data-driven decisions, understanding user behavior, and measuring product success. These skills collectively help a PM to make sound business decisions, even with incomplete data, which is a key expectation in PM interviews.

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