Persuading Stakeholders With Evidence: A Data-Driven Influence Story

Quick Overview

A behavioral product manager question about a specific time the candidate used data to change stakeholders' minds. It tests influence without authority, the rigor and honesty of the analysis, how evidence is framed for different audiences, how objections are handled, and whether the story ends in a measurable result.

Persuading Stakeholders With Evidence: A Data-Driven Influence Story

Company: Amazon

Role: Product Manager

Category: Behavioral & Leadership

Difficulty: medium

Interview Round: Other

Describe a real situation from your work in which data was what changed other people's minds. You needed people such as leadership, a partner team or a key stakeholder to make a decision or change direction, and it was evidence, not your authority or your opinion, that won them over. Walk through what was at stake and what they believed at first, which data you gathered and how you presented it, how they responded, and what happened as a result. ```hint Start from the disagreement Choose a story where people began unconvinced or were leaning toward a different option. Be ready to say what they believed, which numbers changed that, and why those numbers were persuasive to that particular audience. ``` ### Clarifying Questions - Does it matter whether the people I persuaded reported to me, or is a story about influencing peers or leadership without authority preferred? - Does the data have to be quantitative, such as experiment results or usage numbers, or can it include user research and customer interviews? - Is a story acceptable where the data first showed that my own view was wrong, and I then used it to change the team's plan? ### What a Strong Answer Covers - A real decision with consequences, where the audience started unconvinced or held a different view. - Rigor in the evidence: where it came from, its limits, and how you checked that it actually supported the conclusion instead of picking convenient numbers. - Framing the evidence in terms each audience cared about, and how you handled objections or conflicting data. - A measurable outcome, with your own role in reaching it clearly separated from the team's. - What you learned about persuading with data, including what data alone could not do. ### Follow-up Questions - What was the strongest objection to your analysis, and how did you answer it? - Tell me about a time when the data did not persuade people. What did you do next? - How did you make sure you were not choosing only the numbers that supported the conclusion you already wanted?

Overview: A behavioral product manager question about a specific time the candidate used data to change stakeholders' minds. It tests influence without authority, the rigor and honesty of the analysis, how evidence is framed for different audiences, how objections are handled, and whether the story ends in a measurable result.

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Amazon
Jun 19, 2024
mediumProduct ManagerOtherBehavioral & Leadership
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Describe a real situation from your work in which data was what changed other people's minds. You needed people such as leadership, a partner team or a key stakeholder to make a decision or change direction, and it was evidence, not your authority or your opinion, that won them over.

Walk through what was at stake and what they believed at first, which data you gathered and how you presented it, how they responded, and what happened as a result.

Clarifying Questions Guidance

  • Does it matter whether the people I persuaded reported to me, or is a story about influencing peers or leadership without authority preferred?
  • Does the data have to be quantitative, such as experiment results or usage numbers, or can it include user research and customer interviews?
  • Is a story acceptable where the data first showed that my own view was wrong, and I then used it to change the team's plan?

What a Strong Answer Covers Guidance

  • A real decision with consequences, where the audience started unconvinced or held a different view.
  • Rigor in the evidence: where it came from, its limits, and how you checked that it actually supported the conclusion instead of picking convenient numbers.
  • Framing the evidence in terms each audience cared about, and how you handled objections or conflicting data.
  • A measurable outcome, with your own role in reaching it clearly separated from the team's.
  • What you learned about persuading with data, including what data alone could not do.

Follow-up Questions Guidance

  • What was the strongest objection to your analysis, and how did you answer it?
  • Tell me about a time when the data did not persuade people. What did you do next?
  • How did you make sure you were not choosing only the numbers that supported the conclusion you already wanted?