Practice 30 Amazon Product Manager interview questions covering leadership principles, metrics, and product strategy.
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Rachelle Enns is an interview coach and job search expert. She works with candidates to perform their best in employment, medical, and post-secondary admission interviews.
As a Product Manager for Amazon, you will spend time performing critical analysis to build strategies that guide your team and projects. In simple terms, quantitative data is considered information that you can measure with numbers. For instance, the number of times customers used a certain feature. Qualitative data is more subjective and casual. For instance, it's data you gather from customer service tickets or during conversations. The interviewer wants to know more about your approach to gathering quantitative and qualitative data and how you use this data to help you in your strategic analysis and planning. Walk the interviewer through your approach with as much helpful detail as possible, allowing the interviewer to visualize your methodology.

Rachelle Enns is an interview coach and job search expert. She works with candidates to perform their best in employment, medical, and post-secondary admission interviews.
"Depending on the situation, and what I am measuring, I will begin with either quantitative or qualitative data. For this answer, let's assume that there is quite a bit of uncertainty around the product and what customers really want to see. In that case, I would begin with quantitative analysis since the hard data will likely answer more questions for me from the start. I would build a survey to send out to our customers and perhaps perform some A/B testing. The answers we receive will show us what our customers are most excited about and what they are least engaged in. Next, I want to understand why the customer is leaning one way or the other. This is where I would begin the qualitative analysis. In my current PM role, we often take a select number of survey respondents and have a 15-minute call with them to uncover further why they chose the preferences they did. This softer information will help us to make sense of the survey results. Once the team has collected both hard and soft data, we can better analyze the results and make a balanced decision before moving forward on the project."
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Written by Rachelle Enns
30 Questions & Answers • Amazon

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