Behavioral story: using customer and market research to shape a new product

Quick Overview

An Amazon product manager behavioral question asking for a time you researched customers or a market before creating a product or service. It tests how you choose research methods, dig into data yourself, let evidence change the plan, and connect the findings to measurable customer results.

Behavioral story: using customer and market research to shape a new product

Company: Amazon

Role: Product Manager

Category: Behavioral & Leadership

Difficulty: medium

Interview Round: Other

In a product manager interview at Amazon, you are asked to describe a situation where you needed to research customers, a market or a problem before you could create a new product or service. Explain what you needed to find out, how you carried out the research, what it revealed, and how those findings shaped what was built and how it performed. ```hint Let the research change something Pick a story in which what you learned altered the plan: a different target customer, a feature cut, or the original idea reversed. Research that only confirmed what everyone already believed makes a weak story. ``` ### Clarifying Questions - Does any kind of research count (customer interviews, watching people use a product, usage data, competitor and market analysis), or do you want a story centred on direct customer research? - Can the story be about a product the research convinced the team not to build, or should it end with something that launched? - Is an internal tool or service built for colleagues acceptable, or should the product serve external customers? ### What a Strong Answer Covers - A concrete situation with a clear open question the research had to answer, and why getting it right mattered to customers and the business. - A research plan whose methods fit the question (qualitative and quantitative), with the candidate personally driving the work and going into the data and the field. - Specific findings, including at least one that was surprising or unwelcome, and exactly how they changed the target customer, scope or priorities. - A measurable result after launch, plus an honest reflection on what the research missed. - A sensible balance between depth of research and speed of decision, in line with Amazon's Leadership Principles such as Customer Obsession, Dive Deep and Bias for Action. ### Follow-up Questions - How did you decide you had learned enough to commit, rather than continuing to research? - What did the research tell you that a stakeholder did not want to hear, and how did you handle the disagreement? - After launch, what did customers do that your research failed to predict?

Overview: An Amazon product manager behavioral question asking for a time you researched customers or a market before creating a product or service. It tests how you choose research methods, dig into data yourself, let evidence change the plan, and connect the findings to measurable customer results.

Amazon logo
Amazon
May 7, 2025
mediumProduct ManagerOtherBehavioral & Leadership
0
0

In a product manager interview at Amazon, you are asked to describe a situation where you needed to research customers, a market or a problem before you could create a new product or service. Explain what you needed to find out, how you carried out the research, what it revealed, and how those findings shaped what was built and how it performed.

Clarifying Questions Guidance

  • Does any kind of research count (customer interviews, watching people use a product, usage data, competitor and market analysis), or do you want a story centred on direct customer research?
  • Can the story be about a product the research convinced the team not to build, or should it end with something that launched?
  • Is an internal tool or service built for colleagues acceptable, or should the product serve external customers?

What a Strong Answer Covers Guidance

  • A concrete situation with a clear open question the research had to answer, and why getting it right mattered to customers and the business.
  • A research plan whose methods fit the question (qualitative and quantitative), with the candidate personally driving the work and going into the data and the field.
  • Specific findings, including at least one that was surprising or unwelcome, and exactly how they changed the target customer, scope or priorities.
  • A measurable result after launch, plus an honest reflection on what the research missed.
  • A sensible balance between depth of research and speed of decision, in line with Amazon's Leadership Principles such as Customer Obsession, Dive Deep and Bias for Action.

Follow-up Questions Guidance

  • How did you decide you had learned enough to commit, rather than continuing to research?
  • What did the research tell you that a stakeholder did not want to hear, and how did you handle the disagreement?
  • After launch, what did customers do that your research failed to predict?