Amazon Leadership Principles Cheat Sheet: All 16 LPs with Example Questions

Amazon Leadership Principles Cheat Sheet: All 16 LPs with Example Questions and Answer Frameworks

Amazon’s 16 Leadership Principles (LPs) drive every interview round at every level — SDE I through Distinguished Engineer, plus product, program management, and operations roles. Behavioral questions are not “soft” rounds at Amazon; they’re scored as rigorously as coding rounds, and a Bar Raiser typically conducts the dedicated LP-heavy round. Candidates who treat LPs as filler get rejected. Candidates who prepare 8–12 calibrated stories that map to specific LPs and tell them with the right structure pass consistently. This guide is the cheat sheet: every LP, the questions interviewers ask under each, the wrong-answer trap to avoid, and the framework for building your story bank.

How Amazon Behavioral Rounds Actually Work

The interview loop typically includes 4–5 rounds. Each interviewer is assigned 2–3 LPs and tries to probe them through behavioral questions. The Bar Raiser is an interviewer outside the hiring team trained to assess the LP signal independently of the hiring manager’s preferences. Their veto can sink an otherwise-passing candidate.

Each LP question follows the pattern: “Tell me about a time when [situation that exercises a specific LP].” The interviewer is taking notes against the LP rubric. They probe with follow-ups: “What was the data?” “What was your specific role?” “What did you learn?” “What would you do differently?”

The scoring isn’t subjective; it’s calibrated. After your loop, interviewers debrief and assign LP scores. A “raise the bar” outcome requires consistent strong-positive LP signal across multiple interviewers and multiple LPs. One weak round usually torpedoes the offer.

The 16 Leadership Principles

1. Customer Obsession

What it means: Start with the customer and work backwards. Earn customer trust. Prioritize customer needs over internal metrics or organizational politics.

Common questions: “Tell me about a time you went above and beyond for a customer.” “Describe a situation where you had to balance customer needs against business needs.”

Strong-answer angle: Specific customer (internal or external), specific need that wasn’t being met, action you took, measurable impact for the customer.

Trap: Generic “I always put customers first” without a concrete story.

2. Ownership

What it means: Act on behalf of the entire company, not just your team. Take responsibility for outcomes beyond your immediate scope. “It’s not my job” is the opposite.

Common questions: “Tell me about a time you took on a problem outside your immediate responsibility.” “Describe a long-term project you championed.”

Strong-answer angle: Problem nobody owned; you stepped up; you saw it through; impact was measurable.

Trap: Stories where you “owned” something assigned to you (that’s not ownership; that’s doing your job).

3. Invent and Simplify

What it means: Find new ways to do things; remove complexity. Don’t re-implement existing solutions when something simpler exists.

Common questions: “Tell me about a time you simplified a complex process.” “Describe an innovative solution you built.”

Strong-answer angle: Specific complexity that existed; the new approach you designed; measurable improvement (lines of code removed, time saved, cost reduced).

Trap: Stories about adding new features (that’s invention without simplification).

4. Are Right, A Lot

What it means: Strong judgment and good instincts. Seek diverse perspectives. Disconfirm your own beliefs.

Common questions: “Tell me about a time you made a decision with limited information.” “Describe a time you were wrong and how you corrected course.”

Strong-answer angle: Decision under uncertainty; how you sought disconfirming data; outcome.

Trap: Claiming you were always right (Amazon explicitly looks for the “and changed course” element).

5. Learn and Be Curious

What it means: Continuously seek new knowledge. Be humble about gaps.

Common questions: “Tell me about something you learned recently and how it affected your work.” “Describe a time you had to quickly learn something new.”

Strong-answer angle: Specific skill / domain you didn’t know; concrete learning approach; how you applied it.

Trap: Generic “I’m a lifelong learner” without examples.

6. Hire and Develop the Best

What it means: Raise the performance bar with every hire. Develop people through coaching, mentorship, and feedback.

Common questions: “Tell me about an engineer you developed.” “Describe how you raised the hiring bar.”

Strong-answer angle: Specific person you mentored; specific gaps you addressed; measurable growth in their performance.

Trap: Stories about being a passive mentor (vague “I gave them feedback regularly”).

7. Insist on the Highest Standards

What it means: Never settle. Continually raise quality. Hold yourself and others accountable.

Common questions: “Tell me about a time you held a high standard and others pushed back.” “Describe a quality issue you discovered and fixed.”

Strong-answer angle: Specific standard; specific tradeoff (someone wanted to ship anyway); how you held the line; outcome.

Trap: Generic “I always strive for excellence” without showing the difficult moment.

8. Think Big

What it means: Set bold goals; communicate aspirational vision. Look beyond short-term tactical work.

Common questions: “Tell me about a vision you proposed and pursued.” “Describe a long-term plan you championed.”

Strong-answer angle: Specific aspirational goal; how you got buy-in; multi-year outcome.

Trap: Stories about a feature shipped on time (that’s tactical, not big-thinking).

9. Bias for Action

What it means: Speed matters. Many decisions are reversible; don’t over-analyze.

Common questions: “Tell me about a time you made a quick decision under pressure.” “Describe a time when you took action without complete information.”

Strong-answer angle: Specific situation requiring fast decision; what you decided; outcome (or what you’d do differently with hindsight).

Trap: Stories about reckless decisions that worked out by luck.

10. Frugality

What it means: Accomplish more with less. Constraints breed resourcefulness.

Common questions: “Tell me about a time you achieved a goal with limited resources.” “Describe a cost-saving improvement you led.”

Strong-answer angle: Specific resource constraint (time, budget, headcount); creative approach; measurable savings or output.

Trap: Frugality stories where you just cut features (that’s not frugality; that’s reduced scope).

11. Earn Trust

What it means: Listen, be vocally self-critical, treat others respectfully. Disagree on substance, not personally.

Common questions: “Tell me about a time you had to earn the trust of a team or peer.” “Describe a difficult feedback conversation.”

Strong-answer angle: Trust that needed building; specific actions you took; how trust was demonstrated afterward.

Trap: Vague statements about “being honest” without specific situations.

12. Dive Deep

What it means: Look at data closely. Audit details. Don’t accept summaries when raw data is available.

Common questions: “Tell me about a time you found an issue by digging into the details.” “Describe a metric you investigated deeply.”

Strong-answer angle: Anomaly you noticed; how you drilled into the root cause; what you found.

Trap: Generic “I always look at data” without showing the deep dive that uncovered something.

13. Have Backbone; Disagree and Commit

What it means: Push back when you disagree, even with leadership. Once decided, commit fully — don’t undermine.

Common questions: “Tell me about a time you disagreed with your manager.” “Describe a decision you committed to despite initial disagreement.”

Strong-answer angle: Specific disagreement; how you raised it constructively; how you committed and supported the final decision afterward.

Trap: Stories where you disagreed and then sabotaged the decision passively. Or stories where you “always agreed” — that fails the principle.

14. Deliver Results

What it means: Focus on inputs that produce outputs; meet commitments; don’t drift from goals.

Common questions: “Tell me about a time you delivered against a tough deadline.” “Describe a project where the goal shifted.”

Strong-answer angle: Specific commitment; obstacles; what you did differently to stay on track; measurable outcome.

Trap: “We delivered on time” without showing the difficulty or what you specifically did.

15. Strive to Be Earth’s Best Employer

What it means: Create a safer, more productive, more inclusive work environment. Lead with empathy.

Common questions: “Tell me about a time you supported a struggling teammate.” “Describe a time you made the work environment better.”

Strong-answer angle: Specific situation involving a teammate; concrete action you took; outcome for them.

16. Success and Scale Bring Broad Responsibility

What it means: Operate with humility about Amazon’s impact on the world. Make decisions that improve the world beyond just business outcomes.

Common questions: “Tell me about a time you considered the broader impact of a decision.” “Describe a tradeoff between business interests and societal impact.”

Strong-answer angle: Specific situation where business and broader impact were in tension; how you weighted the considerations.

Building Your Story Bank

The standard prep for Amazon LP rounds is 8–12 stories that collectively cover all 16 LPs. Most stories cover 2–3 LPs each (e.g., “the time I stepped up to fix a payment-system outage” can hit Ownership, Bias for Action, Customer Obsession, and Dive Deep simultaneously).

For each story, prepare:

Situation: 1–2 sentence context
Task: what was your specific role and goal
Action: what you specifically did (use “I”, not “we”)
Result: measurable outcome
Reflection: what you’d do differently

This is the STAR+R framework — see our STAR method guide for the deeper treatment.

Common Pitfalls

Using “we” instead of “I.” Amazon scoring focuses on individual contribution. Specify what YOU did vs what the team did.
Generic “I always…” statements. The interviewer wants concrete stories with specific dates, people, decisions.
Stories without conflict. If everything went smoothly, the story isn’t testing the LP. Each story should have a difficult moment that exercises the principle.
Ignoring the follow-up questions. Interviewers probe: “How did you measure that?” “What did the customer say?” Have specifics ready.
Not connecting to the LP explicitly. Don’t make the interviewer guess which LP your story exercises. Frame the story to make the LP signal clear.
Disagreeing with the principle in your answer. “I think Customer Obsession is overrated, but…” kills the round.

Frequently Asked Questions

How many LP stories should I prepare?

8–12 distinct stories, calibrated so that collectively they cover all 16 LPs (each story typically maps to 2–3 LPs). Spend 60–90 minutes on each story polishing it: structure, specifics, measurable outcomes, reflective lessons. Practice telling each in 4–5 minutes — that’s the natural length for an Amazon behavioral answer.

What’s the Bar Raiser round?

A senior interviewer trained to assess LP signal independently of the hiring team. They typically conduct one of the 4–5 rounds and have veto power on the offer. Bar Raisers are usually outside the hiring team and have no incentive to lower the bar; they’re explicitly there to maintain Amazon’s hiring standards. Expect deeper LP probing in this round than in the others.

How do I handle the “tell me about a time you failed” question?

Have a real failure story. Walk through what happened, what you learned, and what you’d do differently. Avoid fake failures (“I worked too hard”). Avoid blaming others. The Have Backbone and Are Right, A Lot principles both expect you to acknowledge being wrong sometimes; your story should show this maturity.

Are LPs really weighted equally with coding?

Yes. Strong coding plus weak LPs = no offer at Amazon. The behavioral round outcome is treated as binary (pass/fail), and a fail in any round (including LP rounds) is usually disqualifying. Allocate prep time accordingly: at least 40% of your interview prep should be LP work if you’re targeting Amazon.

How are LPs different at higher levels (L6, L7, L8)?

The bar rises substantially. L4 stories can be individual-contributor scope (you fixed the bug, you delivered the feature). L6+ stories must show org-level impact (you set technical direction for 30 engineers, you owned a multi-year initiative, you mentored multiple senior reports). Same LPs, much harder calibration. Adjust your story bank to your target level.