Tell Me About a Time You Had to Choose Between Two Competing Valid Approaches - Amazon LP Competency

Definition

Are Right a Lot means consistently making sound decisions by using good judgment, deep understanding, and seeking diverse perspectives. The core test is how a candidate chooses wisely between multiple valid options under uncertainty.

Core Signal

Can the candidate explain how they evaluated competing options and justified their choice with data, reasoning, and learning?

Company Framing

Amazon expects leaders to be owners who dive deep into data and context, challenge assumptions, and make high-quality decisions that stand the test of time.

What It Is NOT

• Completing assigned tasks well - that is execution, not judgment.
• Being stubborn or refusing to listen to others.
• Claiming to be right without data or reasoning.
• Making quick guesses without thoughtful analysis.
• Avoiding decisions by deferring to others.

Candidate describes gathering multiple data sources or perspectives before deciding.

"I collected metrics from both systems""I asked stakeholders for their input""I reviewed historical data""I compared pros and cons quantitatively"

Shows the candidate does not rely on gut feeling but seeks evidence to be right.

Common Miss My manager told me which approach to pick

Candidate explains weighing trade-offs explicitly between options.

"Option A had lower latency but higher cost""Option B was simpler but less scalable""I balanced short-term impact versus long-term maintainability"

Demonstrates nuanced thinking and ability to handle complexity.

Common Miss I just picked the easiest solution

Candidate admits uncertainty and describes how they mitigated risk.

"I had 70% of the data I wanted""I ran a small experiment to validate""I planned a rollback in case it failed"

Shows humility and practical judgment under ambiguity.

Common Miss I waited until I had perfect information

Candidate describes learning from others or challenging their own assumptions.

"I consulted a domain expert""I questioned my initial hypothesis""I incorporated feedback from the team"

Indicates openness and intellectual humility, key to being right a lot.

Common Miss I was confident I was right from the start

Candidate quantifies impact of their decision and second-order effects.

"This reduced latency by 30%""Saved $8K per week in operational costs""Prevented a class of bugs in future releases"

Connects decision quality to measurable business outcomes.

Common Miss The system worked better after my change

Depth Tip

Spend about 70% of your answer on the Action section, detailing your thought process and decision criteria. Limit Situation and Task combined to 50 seconds to maximize time for explaining your reasoning.

Manager-Assigned Initiation

"My manager suggested I look into this since I had bandwidth"

Ownership is binary - self-initiated or not. Manager-assigned = execution. No excellent execution recovers an assigned story.

DetectionAsk: Would I have done this if my manager said nothing? If no, find a different story.

Fix"I noticed X while doing Y. Nobody had filed a ticket. I decided to act because..."

No Trade-Off Explanation

"I just picked the first solution that worked"

Being right a lot requires weighing options, not picking arbitrarily or by convenience.

DetectionListen for absence of any comparison or reasoning between options.

Fix"I compared the pros and cons of both approaches and chose the one with better scalability."

No Data or Evidence

"I trusted my gut feeling on this decision"

Amazon expects data-driven decisions; gut feeling alone is insufficient.

DetectionCheck if candidate references any metrics, feedback, or experiments.

Fix"I gathered relevant metrics and feedback before deciding."

No Impact Quantification

"The system improved after my change"

Without quantifying impact, the decision’s value is unclear and weakens the signal.

DetectionLook for missing numbers or business outcomes.

Fix"This change reduced error rates by 15%, saving $5K weekly."

Blame or Deflection

"The other team was slow, so I couldn’t do more"

Avoiding responsibility or blaming others contradicts ownership and being right a lot.

DetectionWatch for phrases that shift responsibility away from candidate.

Fix"I identified the bottleneck and proposed a workaround to unblock progress."

Passive Voice Throughout

"The problem was identified and then fixed"

Candidate was spectator not actor. Passive strips agency from every action.

FixUse active voice: 'I identified the problem and fixed it.'

Vague Language

"We did some analysis and then made a decision"

Obscures candidate’s individual contribution and decision-making process.

FixSpecify: 'I analyzed X, compared Y, and decided to implement Z.'

Overuse of Jargon

"Leveraged synergies to optimize throughput"

Distracts from clear explanation of reasoning and impact.

FixExplain clearly in simple terms what you did and why.

No Quantified Impact

"The change improved the system"

Fails to demonstrate measurable business value of decision.

FixAdd metrics: 'Reduced latency by 20%, improving user experience.'

Monotone Delivery

"Flat tone with no enthusiasm"

May cause interviewer to doubt candidate’s engagement or confidence.

FixSpeak clearly with varied tone to convey ownership and conviction.

Direct Triggers

• Tell me about a time you had to choose between two competing valid approaches.
• Describe a situation where you made a decision with incomplete information.
• Give an example of when you challenged your own assumptions to make a better decision.
• Tell me about a time you were right despite initial doubts from others.

Indirect Triggers

• Describe a complex problem you solved where multiple solutions were possible.
• Tell me about a time you had to balance trade-offs in a technical decision.
• Give an example of when you learned something new to improve your decision.
• Describe a time you influenced others to adopt your approach.

How to Recognize

Keywords: 'trade-offs', 'data-driven', 'validated assumptions', 'challenged hypothesis', 'weighed options', 'mitigated risk', 'experimented', 'consulted experts'.

Do Not Confuse With

OwnershipOwnership is about self-initiating and driving work; Are Right a Lot focuses on quality and correctness of decisions.

Bias for ActionBias for Action emphasizes speed and decisiveness; Are Right a Lot emphasizes accuracy and sound judgment.

Dive DeepDive Deep is about thorough investigation; Are Right a Lot is about making the best decision from that investigation.

How did you validate your choice was the right one after implementation?

Probes: Checks if candidate follows through and measures impact, not just initial decision.

Weak

"I assumed it worked because no one complained."

No evidence of validation or learning; shows lack of ownership and rigor.

Strong

I monitored key metrics post-launch and saw a 25% reduction in errors within two weeks, confirming the decision’s effectiveness.

""I measured impact to confirm my decision was right.""

What trade-offs did you consider and how did you decide which to prioritize?

Probes: Evaluates depth of reasoning and ability to balance competing factors.

Weak

"I just picked the fastest solution."

Ignores complexity and nuance; suggests shallow thinking.

Strong

I prioritized scalability over initial speed because the system needed to handle growth, accepting a 10% latency increase temporarily.

""I explicitly weighed trade-offs and prioritized long-term value.""

Did you consult others or seek feedback before deciding?

Probes: Assesses openness to diverse perspectives and intellectual humility.

Weak

"I made the decision on my own without input."

May indicate arrogance or narrow viewpoint, reducing decision quality.

Strong

I discussed options with the database team and product manager to incorporate their insights before finalizing.

""I incorporated feedback to improve my decision.""

What would you do differently if you faced the same decision again?

Probes: Tests self-awareness and continuous learning.

Weak

"Nothing, it was perfect the first time."

Shows lack of reflection and growth mindset.

Strong

I would gather more user feedback earlier to catch edge cases sooner.

""I reflect and learn to improve future decisions.""

Amazon

Are Right a Lot

Amazon looks for long-term thinking - fix root cause not just symptom. Leaders dive deep into data and challenge assumptions.

Signal: Candidate names trade-offs explicitly and quantifies impact with business metrics.

Example QTell me about a time you had to choose between two competing valid approaches.

What Elevates

Amazon values candidates who explicitly articulate the trade-offs they considered, including costs and benefits, and who demonstrate ownership by explaining the consequences of their decision on business metrics such as cost savings or performance improvements. For example, stating: 'I pushed the sprint item back 2 days because the cost of inaction was $8K per week, which exceeded the cost of delay.' This level of detail and ownership elevates the answer.

Google

Good Judgment

Google values data-informed decisions but also creativity and user focus. Emphasis on scalable, elegant solutions.

Signal: Candidate explains how user impact and technical scalability influenced choice.

Example QDescribe a time you made a decision balancing technical constraints and user needs.

What Elevates

Highlight how you integrated user feedback with technical trade-offs to arrive at a solution that scales and delights users.

Meta

Move Fast

Meta prioritizes speed and iteration. Being right a lot means making good decisions quickly and learning fast from mistakes.

Signal: Candidate describes rapid decision-making with risk mitigation and fast feedback loops.

Example QTell me about a time you made a quick decision with incomplete data.

What Elevates

Explain how you balanced speed with risk, ran experiments, and iterated based on results to improve the decision.

SDE 1

At this level, candidates handle tasks or bugs outside their assigned scope with clear individual contributions and measurable impact on their immediate team. They do not yet coordinate across teams but demonstrate sound judgment within their domain.

Anti-pattern Story limited to assigned tasks with no initiative or decision-making; no measurable impact.

SDE 2

Candidates own decisions involving multiple components or teams, explicitly weigh trade-offs using data, and mitigate risks. Their decisions impact multiple teams or customers, showing broader scope and responsibility.

Anti-pattern Decision confined to own team codebase without cross-team scope or trade-off analysis.

Senior SDE

Senior engineers lead complex decisions with ambiguous or incomplete data across multiple teams. They challenge assumptions, influence others, and quantify long-term business impact, demonstrating leadership in judgment.

Anti-pattern Story too basic or execution-focused; lacks influence beyond own team or long-term impact.

Staff Principal

At this highest level, candidates define decision-making frameworks for ambiguous, high-stakes problems affecting entire organizations. They mentor others on judgment quality and drive systemic improvements in decision processes.

Anti-pattern Fails to demonstrate systemic thinking or mentorship on decision quality; story is tactical not strategic.

Cross-Team Technical Decision

Shows ability to evaluate multiple valid technical solutions involving different teams, requiring data gathering and trade-off analysis.

Choosing between two database architectures impacting both backend and frontend teams with different latency and cost profiles.

Also covers: Dive Deep · Ownership · Earn Trust

Risk Mitigation Under Uncertainty

Demonstrates judgment in making decisions with incomplete data and planning contingencies.

Deciding to launch a feature with partial testing but with rollback plans and monitoring.

Also covers: Bias for Action · Learn and Be Curious · Deliver Results

Challenging Assumptions to Improve Design

Highlights intellectual humility and willingness to question initial ideas to find better solutions.

Revising a proposed architecture after consulting experts and analyzing metrics.

Also covers: Earn Trust · Dive Deep · Invent and Simplify

Stories Not Recommended

• Routine Bug Fix in Own Team - Does not show cross-team scope or decision-making between valid options; mostly execution.
• Effort Without Initiative - Staying late or working hard on assigned tasks shows effort but not judgment or ownership.

Prep Action

Select stories where you made a decision between multiple valid options, explain your reasoning with data and trade-offs, and quantify impact. Practice articulating your thought process clearly and confidently.

Choosing wisely between competing valid options with data.

Key Signal

"I weighed trade-offs with data -> mitigated risks -> quantified impact"

Top Disqualifier

"My manager suggested I look into this since I had bandwidth"

Delivery Red Flag

"We did it"

Prep Action

Prepare stories showing self-initiated decisions between valid options, explain reasoning with data and trade-offs, and quantify impact.

Practice

1. You faced a decision between two valid technical approaches to improve system performance. You gathered data, consulted experts, and chose the approach with the strongest evidence, even though it was less popular. Which Amazon Leadership Principle does this primarily demonstrate?

easy

A. Bias for Action

B. Customer Obsession

C. Deliver Results

D. Are Right a Lot

Solution

1. Step 1: Identify the core behavior -- making a data-driven decision despite popularity ->
2. Step 2: Recognize this aligns with Are Right a Lot, which values good judgment and strong evidence ->
3. Step 3: Differentiate from Bias for Action, which emphasizes speed over deliberation ->

Hint: Data-driven choice despite pressure -> Are Right a Lot

Common Mistakes:

2. Candidate answer: "My manager asked me to evaluate two competing solutions for our system. I worked with the team to analyze both, and we decided on the better option. As a result, the system improved and the team was happy." What is the PRIMARY weakness in this answer?

easy

A. Manager-assigned initiation, no self-driven ownership

B. Weak reflection on lessons learned

C. No second-order impact described

D. Vague description of actions taken

Solution

1. Step 1: Identify who initiated the action -> Manager-assigned initiation, no self-driven ownership
2. Step 2: This destroys the Ownership and Are Right a Lot signal, making it a fatal flaw
3. Step 3: Other issues like weak reflection are secondary and less critical

Hint: Manager asked -> ownership destroyed

Common Mistakes:

3. In a candidate's answer, they said: "I gathered data from multiple sources, challenged assumptions, and chose the approach with the highest probability of success." Which Amazon Leadership Principle does this sentence primarily demonstrate?

medium

A. Dive Deep

B. Bias for Action

C. Are Right a Lot

D. Invent and Simplify

Solution

1. Step 1: Focus on the behavior -- gathering data and challenging assumptions ->
2. Step 2: This aligns with Are Right a Lot, emphasizing good judgment and strong decision-making
3. Step 3: Dive Deep is close but focuses more on investigation than decision correctness

Hint: Data + challenge assumptions -> Are Right a Lot

Common Mistakes:

4. What does the phrase "My manager asked me to evaluate the options" signal to the interviewer?

medium

A. Shows good communication with management

B. Indicates task assignment, ownership signal destroyed

C. Demonstrates proactive problem identification

D. Reflects strong time management skills

Solution

1. Step 1: Identify who initiated the action -> Indicates task assignment, ownership signal destroyed
2. Step 2: This destroys ownership and Are Right a Lot signals
3. Step 3: Other interpretations are plausible but less critical or incorrect

Hint: "Manager asked" -> ownership lost

Common Mistakes:

5. Candidate answer: "I identified two valid approaches to improve our system. I analyzed data and consulted experts to decide on the best path. We collectively decided to implement the chosen solution. After deployment, system latency dropped by 30%, improving customer satisfaction. I documented the process and shared learnings with the team. This helped us make better decisions in future projects." Which element is the disqualifier?

hard

A. "We collectively decided to implement the chosen solution."

B. "I analyzed data and consulted experts to decide on the best path."

C. "System latency dropped by 30%, improving customer satisfaction."

D. "I documented the process and shared learnings with the team."

Solution

1. Step 1: Identify who initiated the decision -> "We collectively decided to implement the chosen solution."
2. Step 2: This subtle loss of clear ownership is a disqualifier for Are Right a Lot
3. Step 3: Other elements show strong data use, impact, and reflection, so they are strengths

Hint: "We collectively decided" -> ownership diluted disqualifier

Common Mistakes: