The Amazon leadership principles are the single most important thing to prepare for an Amazon interview. Every behavioral question in the loop is really a disguised question about one of them — and the interviewer is grading your answer against a specific principle, not just listening to a nice story.
This guide covers all 16 Amazon Leadership Principles with a one-line meaning, a sample Amazon behavioral interview question, and a short STAR-structured answer sketch for each. Then we explain how the Bar Raiser and LP-mapped loop actually works so you can prep efficiently. If you want the deeper tactical playbook after this, read how to pass the Amazon behavioral interview next.
How the Amazon LP-Mapped Interview Works
Amazon does not run a generic behavioral chat. Each interviewer in your loop is assigned two or three specific Leadership Principles to assess. They ask targeted questions, take detailed notes tagged to those principles, and submit a written vote. Across a 4–5 interview loop you'll be evaluated on roughly 4–6 of the 16 principles — but you never know which, so you prepare for all of them.
The most important interviewer is the Bar Raiser: a trained interviewer pulled from a different team, whose job is to keep the hiring bar consistent and who holds veto power over the decision. They probe your stories with layered follow-ups ("What was your part? How did you measure it? What would you do differently?") to test whether your examples are real and whether your judgment scales to the next level.
How to Prep for the 16 Leadership Principles
Do not memorize 16 separate scripts. Instead, build 6–10 strong, real stories and map each one to the 2–3 principles it can serve. A single launch you fought for might cover Bias for Action, Deliver Results, and Have Backbone; Disagree and Commit depending on which details you stress. Keep every story in STAR form — Situation, Task, Action, Result — and add two things Amazon rewards heavily: a quantified result and your specific individual contribution (say "I," not "we").
All 16 Amazon Leadership Principles With Examples
Below is every principle with its meaning, a representative behavioral question, and a compact STAR sketch you can adapt to your own experience.
1. Customer Obsession
Meaning: Start from the customer and work backward; earn and keep their trust above competitor-watching.
Question: "Tell me about a time you used customer feedback to change what you were building."
STAR sketch: Situation — churn spiked on a feature we'd just shipped. Task — I owned finding why. Action — I read 40 support tickets and ran 6 user calls instead of guessing from dashboards, then reprioritized the roadmap to fix the top complaint. Result — churn on that cohort dropped from 9% to 3% in two months.
2. Ownership
Meaning: Act on behalf of the whole company, not just your team; never say "that's not my job."
Question: "Tell me about a time you took on something outside your defined role."
STAR sketch: A recurring on-call page belonged to no team. I claimed it, root-caused a retry storm, shipped the fix, and wrote the runbook. Pages for that class of issue went to zero over the next quarter.
3. Invent and Simplify
Meaning: Seek new ideas from everywhere and remove complexity as you build.
Question: "Tell me about a time you simplified a complex process."
STAR sketch: Our release checklist had 22 manual steps. I replaced it with a scripted pipeline and a 4-item human checklist, cutting release time from 3 hours to 25 minutes and eliminating two recurring human errors.
4. Are Right, A Lot
Meaning: Have strong judgment and good instincts; actively seek diverse perspectives to disconfirm your own beliefs.
Question: "Tell me about a time you had to make a decision with incomplete data."
STAR sketch: With no clear metric, I sought out two skeptics, weighed their objections, made a call to ship a smaller scope first, and validated with an A/B test. The bet held — the trimmed version beat the full one on conversion.
5. Learn and Be Curious
Meaning: Never stop improving yourself; explore new possibilities.
Question: "Tell me about a time you taught yourself something to solve a problem."
STAR sketch: A latency issue traced to a database engine I didn't know. I spent a weekend on its query planner internals, found a missing index pattern, and cut p99 by 60%.
6. Hire and Develop the Best
Meaning: Raise the performance bar with every hire and promotion; coach others and act as a mentor.
Question: "Tell me about a time you helped someone grow."
STAR sketch: A struggling junior kept missing edge cases. I set up weekly design reviews and paired on their first two projects. Within a quarter they were leading their own feature and mentoring the next hire.
7. Insist on the Highest Standards
Meaning: Hold a relentlessly high bar; refuse to ship defects downstream.
Question: "Tell me about a time you refused to accept 'good enough.'"
STAR sketch: A feature passed tests but had a 2% error rate under load. I pushed the launch a week to fix it despite pressure. Post-launch error rate was 0.05% and we avoided a rollback.
8. Think Big
Meaning: Create and communicate a bold direction that inspires results; think beyond the obvious.
Question: "Tell me about a time you proposed something bigger than what was asked."
STAR sketch: Asked to patch one report, I proposed a shared metrics platform three teams could reuse. I built a prototype, sold the vision, and it became the standard reporting layer for the org.
9. Bias for Action
Meaning: Speed matters; many decisions are reversible and don't need extensive study.
Question: "Tell me about a time you made a decision quickly under time pressure."
STAR sketch: A partner API deprecated with 48 hours' notice. Rather than wait for a design review, I shipped a reversible feature-flagged shim overnight, kept the service up, and hardened it properly the next sprint.
10. Frugality
Meaning: Accomplish more with less; constraints breed resourcefulness and invention.
Question: "Tell me about a time you delivered a result with limited resources."
STAR sketch: Instead of buying a vendor tool, I built a lightweight internal version in two days that covered our actual use case, saving roughly $40K a year in licensing.
11. Earn Trust
Meaning: Listen attentively, speak candidly, and treat others respectfully; be self-critical.
Question: "Tell me about a time you had to rebuild trust after a mistake."
STAR sketch: My change caused a partial outage. I owned it publicly in the postmortem, shared the timeline honestly, and shipped the guardrail that would have prevented it. The team's confidence recovered and the guardrail became standard.
12. Dive Deep
Meaning: Stay connected to the details; audit frequently and be skeptical when metrics and anecdotes differ.
Question: "Tell me about a time you went deeper than others to find the root cause."
STAR sketch: A weekly latency spike was blamed on "the network." I didn't accept it, pulled the raw traces myself, and found a cron job saturating a shared disk. The real fix ended a months-old recurring incident.
13. Have Backbone; Disagree and Commit
Meaning: Challenge decisions respectfully when you disagree, then fully commit once a decision is made.
Question: "Tell me about a time you disagreed with your manager or team."
STAR sketch: I argued with data against launching at 3% coverage. I was overruled — so I committed fully and executed the launch. The risk I'd flagged materialized, we rolled back, and I now run that calibration check on every launch.
14. Deliver Results
Meaning: Focus on the key inputs and deliver them with quality and on time, despite setbacks.
Question: "Tell me about a time you delivered under a hard deadline."
STAR sketch: A launch slipped when a dependency fell through. I cut non-critical scope, negotiated a realistic date, and shipped the core on time. It hit the revenue target within the first month.
15. Strive to be Earth's Best Employer
Meaning: Work to make the workplace safer, more productive, and more empathetic for the team.
Question: "Tell me about a time you improved your team's work environment or morale."
STAR sketch: On-call burnout was pushing people to quit. I redesigned the rotation, automated the noisiest alerts, and added a follow-the-sun handoff. Pages per shift dropped by half and attrition on the team stopped.
16. Success and Scale Bring Broad Responsibility
Meaning: Consider the wider consequences of your work on customers, society, and the world; be thoughtful and self-critical about impact.
Question: "Tell me about a time you considered the broader impact of a decision."
STAR sketch: A default setting maximized engagement but risked misleading users. I flagged the second-order harm, proposed a safer default, and we shipped it — trading a small engagement dip for a clearly more responsible product.
The Most Common Amazon Behavioral Interview Questions
Whatever wording you get, most Amazon behavioral interview questions reduce to a handful of prompts. Prep one strong story for each:
- Tell me about a time you disagreed with someone (Backbone).
- Tell me about a time you failed and what you learned (Learn and Be Curious, Ownership).
- Tell me about your most difficult customer or stakeholder situation (Customer Obsession, Earn Trust).
- Tell me about a time you took a risk or moved fast (Bias for Action).
- Tell me about a time you dug into the details to solve something (Dive Deep).
- Tell me about a goal you missed and how you handled it (Deliver Results).
Rehearse your LP stories out loud with AI
CoPilot Interview is a desktop AI interview assistant that runs mock Amazon LP rounds with realistic follow-ups and gives real-time behavioral help — mapping each answer to the right Leadership Principle. There's a free tier to start with.
Get Amazon interview help →FAQ
How many Amazon Leadership Principles are there in 2026?
There are 16 Amazon Leadership Principles. The original 14 were expanded with "Strive to be Earth's Best Employer" and "Success and Scale Bring Broad Responsibility." You'll be evaluated on roughly 4–6 of them across a full loop, not all 16 in a single round.
How do I map my stories to Amazon Leadership Principles?
Build a matrix of 6–10 rehearsed stories and tag each with the 2–3 LPs it can cover. One strong project usually maps to several principles at once — a launch you pushed for can serve Bias for Action, Deliver Results, and Have Backbone; Disagree and Commit depending on which details you emphasize.
What is a Bar Raiser at Amazon?
A Bar Raiser is a trained interviewer from a different team than the one hiring. Their job is to keep Amazon's hiring bar consistent, and they hold veto power. They probe your Leadership Principle stories with layered follow-ups to test whether your examples are real and whether your judgment scales.
Should I structure Amazon LP answers with STAR?
Yes. Situation, Task, Action, Result is the expected structure, but add quantified results, your specific individual contribution, and a short "what I learned" note. Interviewers hear clean STAR constantly, so numbers and honest reflection are what separate a hire from a strong hire. See our behavioral interview STAR examples for full walkthroughs.
Can I use AI to prepare for Amazon behavioral interviews?
AI is excellent for preparation — generating LP questions, running mock rounds, and giving feedback on your recorded answers. Rely on it to rehearse genuine stories; the Bar Raiser's follow-up probing is designed to catch anything fabricated or over-scripted, so the goal is real examples you can defend.