What makes Amazon interviews different

Amazon doesn't run a standard competency-based interview. They run a Leadership Principle interview — and the difference matters enormously. Every behavioural question is deliberately designed to surface evidence against one or more of Amazon's 16 Leadership Principles. Interviewers are trained to probe for specifics, push back on vague answers, and evaluate responses against a defined rubric. You cannot bluff your way through an Amazon interview, because they're specifically trained to catch people who are.

The format is called a "loop." You'll meet four to six interviewers in separate back-to-back sessions on the same day. Each interviewer owns two or three Leadership Principles and probes those specifically — so your interviewers are coordinating, not duplicating. One of those interviewers will be a Bar Raiser: someone from a different team whose sole job is independent evaluation. Their role is to ask whether you raise the bar across the organisation, not just whether you'd be adequate in the role.

The practical implication: prepare six to eight strong STAR stories, map each to multiple Leadership Principles, and practise delivering them under pushback. Amazon interviewers will ask follow-up questions to test the depth and authenticity of your answers. "Tell me more about that. What specifically did you do? How did you decide that? What would you have done differently?" These aren't hostile — they're the designed process. Treat them as an opportunity to add depth, not a signal that your answer was wrong.

The Bar Raiser

The Bar Raiser is not your future manager and not a member of your future team. They're an experienced Amazonian from another part of the business trained to make independent assessments. Their threshold question is: "Does this person raise the collective bar? Are they in the top 50% of people I've interviewed for this level?" A hiring manager can want to hire someone the Bar Raiser rejects. The Bar Raiser has veto power. This is intentional — it prevents teams from lowering standards under hiring pressure.

The 16 Leadership Principles — what they're actually testing

Amazon publishes all 16 Leadership Principles on their website. Every graduate interview question maps to one or more of them. Read each one carefully — not for the words, but for what evidence they'd need to see from you in a story to score it well.

LP 01
Customer Obsession
What they're testing
Whether you start with the customer and work backwards — not the other way around. Do you seek to understand the customer's actual problem, or do you jump to solutions?
What a strong answer looks like
A specific story where you went out of your way to understand a customer's or user's actual need, potentially discovered it differed from the stated request, and adjusted accordingly. The outcome should demonstrate genuine customer benefit — not internal convenience dressed up as customer benefit.
LP 02
Ownership
What they're testing
Whether you act like an owner — thinking long-term, never saying "that's not my job," and taking personal accountability for outcomes you didn't directly control.
What a strong answer looks like
A story where something was falling through the cracks, no one else was going to fix it, and you stepped in without being asked. Critically: you stayed accountable for the outcome, not just the action. "I raised the issue" is not ownership. "I raised the issue, then drove it to resolution" is.
LP 03
Invent and Simplify
What they're testing
Whether you find new, simpler ways to do things — not just whether you can execute a process someone else designed. Amazon builds things at scale; complexity is the enemy.
What a strong answer looks like
A story where you identified that a process was unnecessarily complicated, proposed or built a simpler alternative, and showed measurable improvement — time saved, errors reduced, adoption increased. The invention doesn't need to be technical. A simpler onboarding checklist counts if it produced a meaningful result.
LP 04–08
Are Right A Lot / Learn and Be Curious / Hire and Develop the Best / Insist on Highest Standards / Think Big
What they're testing
These principles test intellectual honesty, intellectual growth, your effect on the people around you, quality of output, and ambition of thinking. They're often probed in a single question that appears to be about something else.
What a strong answer looks like
For "Are Right A Lot": a story where you used data and judgment to take a position that others disagreed with, and were proven correct. For "Learn and Be Curious": a specific example of something you taught yourself outside formal education because you needed to solve a real problem. For "Insist on Highest Standards": a moment where you pushed back on work that wasn't good enough when accepting it would have been easier.
LP 09
Bias for Action
What they're testing
Whether you make calculated decisions with incomplete information and move — or wait until certainty that never comes. Amazon moves fast. Paralysis is a disqualifier.
What a strong answer looks like
A specific story where you made a decision with incomplete information, took action, and then course-corrected based on what you learned. Not recklessness — but calculated speed. The key detail: you made a decision. Many candidates answer "Bias for Action" questions with stories where they eventually got consensus before moving. That's not what this principle is about.
LP 10
Frugality
What they're testing
Whether you accomplish more with less — whether you think about resources, not just results. Amazon has always had an intense cost discipline even as it's scaled to global dominance.
What a strong answer looks like
A story where you achieved a meaningful outcome with limited resources — budget, time, people, or tools. The framing is "I found a way to get this done without needing more than I had." This is also about creativity under constraint. Resource creativity is a strong signal here.
LP 11–13
Earn Trust / Dive Deep / Have Backbone; Disagree and Commit
What they're testing
"Earn Trust" tests whether you build credibility through transparency and following through. "Dive Deep" tests whether you can get into the operational details while maintaining strategic perspective. "Have Backbone; Disagree and Commit" is one of the most probed and most misunderstood — it tests whether you challenge respectfully and then commit fully once a decision is made.
What a strong answer looks like
For "Disagree and Commit": a story where you disagreed with a decision, made your case clearly, and when the decision went the other way, you committed to executing it as if it were your own idea. The failure case is stories where either you didn't push back (no backbone) or you agreed to commit then quietly undermined the decision (not committed). Amazon specifically tests that you can do both halves of this principle.
LP 14–16
Deliver Results / Strive to be Earth's Best Employer / Success and Scale Bring Broad Responsibility
What they're testing
Results are non-negotiable at Amazon. The last two principles — added more recently — reflect Amazon's acknowledgement of its scale and obligations. For a graduate interview, "Deliver Results" is most commonly probed. The others may surface in questions about working with teams, supporting others' growth, or awareness of broader impact.
What a strong answer looks like
For "Deliver Results": a story where circumstances were difficult — competing priorities, setbacks, limited time — and you still got a specific, measurable outcome across the line. The Amazon expectation is that obstacles don't change the outcome, they change the path to the outcome.

The interview process

Stage 01
Online application and resume screen
What happens
CV and cover letter screening. Amazon looks for academic achievement, relevant project work, and any evidence of the Leadership Principles in action — even from non-professional contexts.
How to prepare
Your resume should use action verbs and quantified outcomes wherever possible. "Built," "reduced," "increased," "delivered" with specific numbers. Reviewers skim quickly — the specificity is what makes lines stand out. Generic summaries without outcomes are invisible.
Stage 02
Online assessments
What happens
Depending on the role: work style questionnaires, logical reasoning assessments, or role-specific tests (e.g. coding challenges for tech roles, numerical reasoning for business roles). Usually completed at home, time-limited.
How to prepare
For the work style questionnaire, there are no trick answers — but be authentic. Amazon looks for genuine alignment with their culture. For reasoning tests, practise speed as much as accuracy — these are typically time-pressured. For coding assessments, practise on LeetCode at easy-to-medium difficulty.
Stage 03
Phone screen
What happens
A 30–45 minute call with a recruiter or hiring manager. Expect two to three behavioural questions mapped to Leadership Principles, plus "why Amazon" and role-specific context questions.
How to prepare
Use this as a trial run for your STAR stories. You'll be asked to give specific examples — vague, hypothetical, or general answers fail this screen. Have three strong stories ready for "Customer Obsession," "Ownership," and "Deliver Results" — these three are almost always probed at the phone screen.
Stage 04
The loop — on-site or virtual interview day
What happens
Four to six back-to-back interviews, each 45–60 minutes, each with a different interviewer. One will be a Bar Raiser. Each interviewer owns specific Leadership Principles and won't significantly overlap with the others. You may also have a technical component if applying to a tech role.
How to prepare
Prepare six to eight different STAR stories that each map to multiple Leadership Principles. Use different stories for each interviewer — they debrief together afterwards and duplicated stories are noted negatively. After each question, check your answer covered: the specific situation, your specific action (not "we"), and a measurable outcome.

10 questions to prepare — with what they're really probing

Q 01
Tell me about a time you had to make a decision with limited information.
Leadership Principle: Bias for Action
They want to see you calculated the decision thoughtfully, made it anyway, and adjusted based on what you learned. Don't confuse speed with recklessness.
How to answer
Explain what information you had and what was missing. Walk through your reasoning process and what you decided. Then — critically — what you learned and how you adjusted. The adjustment after the decision is often what separates a good answer from a great one. It shows you acted quickly and remained adaptable.
Q 02
Describe a time you disagreed with a decision made by your team or manager.
Leadership Principle: Have Backbone; Disagree and Commit
They want to see you challenged the decision respectfully and with data or reasoning — then committed to the outcome once the decision was made, without undermining it.
How to answer
Be specific about what the decision was, why you disagreed, and exactly how you voiced that disagreement. Then be equally specific about how you committed once the decision was finalised. The failure mode here is either capitulating without speaking up, or speaking up then quietly being difficult. Amazon needs both halves.
Q 03
Tell me about the most complex problem you've worked on. How did you break it down?
Leadership Principle: Dive Deep
They want to see you can engage with detail — not delegate it — and that you understand how to decompose a problem into solvable parts without losing sight of the bigger picture.
How to answer
Lead with the complexity — describe what made the problem hard. Then walk through how you approached breaking it down: what were the sub-problems, what did you tackle first and why, what data or methods did you use. End with the specific outcome. Interviewers will probe for specifics — if your answer is only high-level, expect follow-up questions about details you should know.
Q 04
Give me an example of a time you improved a process or found a simpler way to do something.
Leadership Principle: Invent and Simplify
They want to see genuine improvement — not describing an existing process you followed. The improvement should be measurable and driven by you specifically.
How to answer
Describe the original process and what made it inefficient or complicated. Explain what you specifically did to improve or simplify it. Quantify the improvement — time saved, error rate reduced, adoption rate, cost reduction. If you can't quantify it, the story probably isn't strong enough. Push yourself to find a story with a measurable outcome.
Q 05
Tell me about a time you went above and beyond for a customer or user.
Leadership Principle: Customer Obsession
They want to see genuine effort to understand and serve the customer — not just going through the motions. Extra effort that didn't actually serve the customer well isn't what they're looking for.
How to answer
Start by describing what you understood the customer's actual need to be — not just what they asked for. Then describe specifically what you did that went beyond the expected response. Then the outcome from the customer's perspective. The "customer" can be an internal customer if your role doesn't interact with external users — but make sure it's a genuine customer relationship, not just a colleague.
Q 06
Describe a time you had to deliver results under difficult circumstances.
Leadership Principle: Deliver Results
They want to see you found a path to the outcome despite the obstacles — not that you worked really hard and still didn't get there. Amazon's expectation is that obstacles change the path, not the outcome.
How to answer
Be specific about what the target was and what made the circumstances difficult — understaffed, time-pressured, changing requirements, equipment failure. Then describe what you specifically did to get the result anyway. End with the actual result and a number if possible. Avoid stories where the punchline is "we didn't quite make it, but we learned a lot" — save those for reflection questions.
Q 07
Tell me about something you taught yourself because you needed it to solve a problem.
Leadership Principle: Learn and Be Curious
They want to see genuine intellectual curiosity — something you sought out because you needed it, not because someone assigned it. Formal coursework is a weak answer here.
How to answer
Describe the gap — what you needed to know and why you needed it. Explain specifically how you learned it (what resources, how long, what approach). Then the application — how you used what you learned to solve the actual problem. Bonus points if you then taught it to someone else or documented it — this shows both "Learn and Be Curious" and elements of "Hire and Develop the Best."
Q 08
Tell me about a time you took on something significantly outside your role or comfort zone.
Leadership Principle: Ownership
They want to see that you take responsibility beyond your job description when the situation calls for it — that you don't see things that need doing and walk past them because they're not technically your problem.
How to answer
Be clear about what was falling through the cracks and why it was technically outside your scope. Then explain why you decided to take it on anyway — the reasoning matters, not just that you did it. Then what you actually did and what the result was. Avoid stories where you were explicitly asked to take something on — that's just doing your job. The ownership signal comes from you choosing to act when no one required it.
Q 09
Describe a time your work didn't meet the standard you expected of yourself. What did you do?
Leadership Principle: Insist on Highest Standards
They want to see that you hold yourself to a genuine standard — that you notice when work is substandard and you act on it, even when it would be easier to let it slide.
How to answer
Be honest about what the gap was. Then describe specifically what you did to fix it — not just acknowledge the problem. The actions are what matter. This is also a character question: interviewers are looking for self-awareness, not perfection. A genuine answer with a real mistake and a specific fix is far better than a carefully curated story with no actual failure in it.
Q 10
Why Amazon? Why this role? Why now?
What they're really testing
This question seems soft but it isn't. They want to see genuine and specific reasons — not generic enthusiasm. "I admire Amazon's innovation" is the noise floor. You need signal.
How to answer
Connect to something specific: a product or service you use, a business problem you find genuinely interesting, a team or initiative you've researched. Reference something about this specific role and team that connects to your actual experience or interests. "Why now" should connect to where you are in your career and what you want to build. The candidate who's thought about this for five minutes sounds identical to the one who says "Amazon is a great company" — both are forgettable.

How to prepare for an Amazon interview

The most common preparation mistake is treating Amazon like any other behavioural interview. It isn't. Preparing vague stories and hoping they fit whatever is asked will not work here. Amazon interviewers probe deeply and specifically — and they're trained to tell when a story has been manufactured for the question rather than drawn from genuine experience.

The preparation approach that works: build a story bank of six to eight real experiences from your work, study, or life, then map each story to multiple Leadership Principles. For each story, know it well enough to answer follow-up questions about what exactly you did, how you decided, what you'd do differently, and what the outcome measured in specific terms.

Structure every story using STAR: Situation (brief — one or two sentences), Task (what specifically was required of you), Action (what you specifically did — not "we"), Result (a specific, measurable outcome). The most common failure is spending too long on Situation and Task and not enough on Action and Result. Interviewers are evaluating what you did, not the context you were in.

Practise being pushed on your answers. A common Amazon interview technique is to dig into the details: "What specifically did you say in that meeting? How did you prioritise between X and Y? What data did you use to make that decision?" If your story doesn't have enough depth to answer these questions, you need a better story or more preparation on the one you have.

One thing that separates offers from rejections

Use "I" not "we." Amazon is evaluating your personal contribution, not your team's performance. Candidates who habitually say "we decided," "we built," "we achieved" make it impossible for interviewers to assess what they specifically did. This sounds like a small detail — it isn't. Practise explicitly describing your personal role and your specific actions in every story you tell.

Common mistakes in Amazon interviews

Using hypothetical answers. Every question that starts with "Tell me about a time..." requires a real example. "I would approach this by..." is not acceptable. If you don't have a perfect example, find the closest real one and use it honestly.

Vague outcomes. "The project was successful" is not an outcome. "We reduced processing time from three hours to forty minutes" is. Always push yourself to quantify. If you genuinely can't quantify it, describe the specific qualitative result — but first make sure you've exhausted the quantitative options.

Answering with team outcomes when asked about your contribution. If the question asks what you did, answer with what you did. You can acknowledge the team context briefly, but the body of the answer must be your actions.

Preparing too few stories. With four to six interviewers, each probing different Leadership Principles, you'll get twelve to twenty questions. If you have only three stories, you'll be repeating them — and Amazon interviewers debrief together. Aim for at least six distinct stories.

Your Amazon interview is coming. Will you be ready?

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