Amazon Leadership Principles Interview Questions UK (All 16 Explained)
Amazon's 16 Leadership Principles drive every interview question in every round. What each one means, the questions it generates, and the STAR answers that clear Amazon's bar.
Bottom line: Roughly 25% of Amazon candidates who clear the technical screen are rejected on Leadership Principles alone. The LP interview is not a formality — it is the real filter. Master STAR storytelling against all 16 principles and you will outperform the majority of applicants who treat LP prep as an afterthought.
How Amazon interviews work
A typical Amazon interview loop consists of four to five back-to-back 45–60 minute interviews. For technical roles, roughly half of each interview is behavioural — LP-based questions. For non-technical roles (operations, programme management, marketing), LP questions dominate every round. One interviewer in each loop is designated the Bar Raiser — an experienced Amazon employee whose sole job is to maintain hiring standards. Bar Raisers can veto any hire regardless of the rest of the panel's decision.
Each interviewer is assigned specific LPs to assess. They ask questions, probe your answers, and score against a detailed rubric. The same LP may not be assessed twice — the panel coordinates in advance to cover the full list across the loop.
The 16 Amazon Leadership Principles
Amazon expanded from 14 to 16 LPs in 2021. Many guides still list 14 — prepare for all 16.
| # | Principle | What it tests |
|---|---|---|
| 1 | Customer Obsession | Decisions driven by customer outcomes, not internal convenience |
| 2 | Ownership | Taking responsibility beyond your direct role; no "that's not my job" |
| 3 | Invent and Simplify | Creating new solutions; cutting complexity |
| 4 | Are Right, A Lot | Strong judgment; seeking diverse perspectives before deciding |
| 5 | Learn and Be Curious | Self-directed learning; staying ahead of change |
| 6 | Hire and Develop the Best | Raising the talent bar; coaching and developing others |
| 7 | Insist on the Highest Standards | Refusing to accept "good enough"; pushing quality consistently |
| 8 | Think Big | Vision and ambition beyond the obvious; bold ideas |
| 9 | Bias for Action | Acting with speed and acceptable risk; avoiding over-deliberation |
| 10 | Frugality | Achieving more with less; resource discipline |
| 11 | Earn Trust | Transparency, candour, building credibility with others |
| 12 | Dive Deep | Data-driven; understanding detail even at senior levels |
| 13 | Have Backbone; Disagree and Commit | Challenging decisions respectfully; then fully committing once decided |
| 14 | Deliver Results | Consistent execution even under obstacles |
| 15 | Strive to be Earth's Best Employer | Creating safe, inclusive environments; prioritising employee wellbeing |
| 16 | Success and Scale Bring Broad Responsibility | Amazon's impact on communities, environment, and society |
The most frequently assessed LPs and the questions they generate
Customer Obsession
- "Tell me about a time you went beyond what was required to improve a customer's experience."
- "Describe a time you made a decision that wasn't popular internally but was the right thing for the customer."
- "Give an example of how you used customer feedback to change something."
What Amazon wants: Evidence that you start with the customer and work backwards — not that you're generally nice to customers. The best answers show you changed a product, process, or decision based on genuine customer insight.
Ownership
- "Tell me about a time you took on something outside your formal responsibilities."
- "Describe a situation where something went wrong on your team. What did you do?"
- "Give an example of a time you saw a problem that wasn't your job to fix but you fixed it anyway."
What Amazon wants: Stories where you didn't wait for someone else, didn't escalate without trying first, and didn't say "that's not my area." Ownership at Amazon means no one says "that's not my problem."
Invent and Simplify
- "Tell me about a time you found a simpler way to do something."
- "Describe a time you invented a new approach or process."
- "Give an example of an idea you had that had a measurable impact."
Bias for Action
- "Tell me about a time you made a decision without having all the information you needed."
- "Describe a time you moved quickly when others were still deliberating."
- "Give an example of a calculated risk you took."
What Amazon wants: Evidence of speed over perfection. Amazon operates with the principle that most decisions are reversible — so the cost of delay often exceeds the cost of a correctable mistake. Your answer should show you understand this calculus.
Dive Deep
- "Tell me about a time you used data to challenge an assumption."
- "Describe a situation where the surface-level explanation was wrong and you found the real cause."
- "Give an example of when your attention to detail caught something important."
Have Backbone; Disagree and Commit
- "Tell me about a time you disagreed with your manager or a senior stakeholder."
- "Describe a time you pushed back on a decision that you thought was wrong."
- "Give an example of a time you committed fully to a decision you disagreed with."
What Amazon wants: Two-part evidence: that you raised your disagreement clearly and with data (not just sentiment), AND that once the decision was made, you committed to it fully without passive resistance. Amazon penalises both people who never push back and people who can't let go once a decision is made.
Deliver Results
- "Tell me about a time you delivered a project under significant pressure."
- "Describe a situation where you missed a goal and what you did."
- "Give an example of how you prioritised when you had more to do than was possible."
How to prepare: the STAR method at Amazon
Amazon expects STAR-structured answers — but with one additional emphasis: quantification. Vague results do not score at Amazon. "The project was a success" is not an answer. "Revenue from the product line grew 23% in Q3, exceeding the target by £1.2M" is. If you don't have exact figures, use approximations clearly framed as estimates.
Build a story bank of 12–15 examples from your career, each with a clear quantified result. Map each story to two or three LPs — most strong examples can serve multiple principles depending on emphasis. Common combinations: Ownership + Deliver Results, Customer Obsession + Invent and Simplify, Dive Deep + Are Right A Lot.
What the Bar Raiser is actually doing
The Bar Raiser is assessing one thing above all: will this person raise the standard of the team they join? Not just be adequate — raise it. Their questions often go deeper than other interviewers: they'll probe your STAR answers with follow-ups like "what would you have done differently?" or "how did you know that was the right decision?" Prepare for probing — don't treat your rehearsed answer as the end of the exchange.
Common LP interview mistakes
- Hypothetical answers: "I would do X in that situation." Amazon wants "I did X." Always give a real example.
- Vague results: No numbers = no score. Quantify everything you can.
- Team credit without personal clarity: "We built the tool" tells the interviewer nothing. Make your specific contribution explicit.
- Misreading Frugality: This is not about being cheap — it's about being resourceful. "We achieved £3M in additional revenue with zero additional headcount" is a Frugality answer.
- Treating LPs 15 and 16 as irrelevant: Senior hires are increasingly assessed on these. Have an example ready.
Frequently asked questions
How many LP stories do I need to prepare?
A minimum of 10–12 strong examples, each mappable to multiple LPs. You'll face 4–5 interviewers each asking 3–5 LP questions — that's up to 25 questions across the loop. With 12 adaptable stories you can cover the full set without repetition.
Is there a specific format Amazon expects for answers?
STAR is the de facto standard but Amazon doesn't mandate it explicitly. What they do mandate is specificity: real situation, real action, real quantified result. Structure your answer however helps you deliver those three things clearly.
How long should an LP answer be?
Two to three minutes. Amazon interviewers are experienced — they will probe if they want more detail. A concise, well-structured 90-second answer followed by two minutes of intelligent probing is better than a five-minute monologue that the interviewer can't interrupt.
Does Amazon hire in the UK the same way as the US?
Yes — the LP framework is global. Amazon's hiring process is standardised across all offices. The LPs, the Bar Raiser model, and the scoring approach are the same in London, Edinburgh, and Manchester as they are in Seattle.
Written by Desh Naidoo-Cann · Founder, Apex Assets Group · MBA Finance