Free guide: Leadership Principle
Success and Scale Bring Broad Responsibility: Interview Questions
How Amazon interviews Success and Scale Bring Broad Responsibility: sample questions, second-order thinking, and how to connect impact back to sound judgment.
Updated August 12, 2026
Success and Scale Bring Broad Responsibility is the newest addition to Amazon's 16 Leadership Principles, and the one candidates are least likely to have a story ready for. That scarcity of preparation is exactly why it's worth having one answer in your back pocket: being the only candidate in a loop with a genuine, specific response here is a disproportionately strong signal.
This guide covers the questions this principle triggers, how it differs from Customer Obsession, and how to build a credible answer regardless of your company's size.
What this principle actually means
The definition: leaders create more than they consume and always leave things better than they found them. They recognize that with success comes broad responsibility to the world, and they act with humility and care as trusted stewards for everyone they interact with. This is a wider lens than most of the other principles: it asks you to weigh impact beyond a single customer, transaction, or team.
Sample questions
- Tell me about a time you considered the wider impact of a decision beyond your team's metrics.
- Describe a decision where you weighed business results against doing the right thing more broadly.
- Give me an example of improving something for people who would never know you did it.
- Tell me about a time you left something better than you found it, beyond what was asked of you.
- Describe a moment you thought about second-order consequences before making a call.
- Tell me about a time you acted with more caution or care because of the scale of who your decision affected.
How to structure a strong answer
Start with the decision and the narrower option that would have been easier or more immediately profitable. Then explain the broader group or consequence you considered, whether that's other teams, users who weren't the direct customer, or a longer-term effect. Close with what you chose and why it still connected back to sound business judgment, since this principle isn't about sacrificing results, it's about widening the lens before deciding.
"We could have shipped a default setting that maximized engagement metrics for our own product, but I flagged that it would likely increase notification fatigue for users across several other internal products sharing the same permission system. I proposed a more conservative default that slightly reduced our own team's short-term metric, and it became the shared standard other teams adopted afterward."
What interviewers are listening for
- A second-order consideration, not just a first-order customer or business decision. The principle is about impact beyond the immediate transaction.
- Humility, not self-congratulation. Strong answers describe stewardship plainly rather than framing the decision as heroic.
- A connection back to sound judgment. The principle explicitly isn't about sacrificing results; a good answer shows the broader choice was still defensible business-wise.
- Scale calibrated to your context. A believable example doesn't need to involve millions of people, just a genuine widening of whose interests you considered.
Common mistakes
The most common failure is confusing this principle with Customer Obsession, describing a story that's really about one customer rather than a broader group or consequence. The second is an answer that sounds performative or self-congratulatory rather than grounded in a specific decision. The third is skipping this principle in prep because it's less frequently asked, leaving no answer ready if it comes up.
This principle pairs with Strive to Be Earth's Best Employer and Deliver Results: broad responsibility and concrete outcomes aren't in tension, the strongest stories show both. See the full Leadership Principles guide for how all 16 fit together.
A less common principle deserves the same out-loud rehearsal as the popular ones. Bar Raiser AI tags your story bank against all 16 and flags exactly where your coverage is thin.