Tell Me About a Time You Made a Difficult Decision With Incomplete Information - Amazon LP Competency

Definition

Are Right a Lot means consistently making sound decisions even when data is incomplete or ambiguous, relying on good judgment and strong instincts. The core test is whether the candidate can demonstrate thoughtful risk assessment and learning from outcomes.

Core Signal

Did the candidate demonstrate sound judgment and good instincts when making a decision despite incomplete information?

Company Framing

Amazon expects leaders to be owners who make high-quality decisions with limited data, balancing speed and accuracy, and learning quickly from mistakes to improve future decisions.

What It Is NOT

• Completing assigned tasks well - that is execution, not judgment.
• Waiting for perfect data before acting - paralysis by analysis.
• Claiming certainty when the situation was ambiguous.
• Deferring decisions to others instead of owning them.
• Guessing without rationale or ignoring contradictory signals.

Candidate explicitly states they made a decision despite lacking full data and explains their reasoning.

"I had about 70% of the data I wanted""I weighed the risks and benefits""I decided to act rather than wait""I used available signals to infer the root cause""I accepted uncertainty but mitigated it"

Shows the candidate can tolerate ambiguity and still make a reasoned decision, a core Amazon expectation.

Common Miss I waited until I had all the information before deciding

Candidate describes how they gathered additional data or consulted experts to reduce uncertainty before deciding.

"I reached out to the data team""I analyzed logs and metrics""I consulted with SMEs to validate assumptions""I triangulated information from multiple sources"

Demonstrates Dive Deep behavior and that the candidate does not guess blindly but uses data to improve decision quality.

Common Miss I just guessed based on my experience

Candidate quantifies the impact of their decision and explains the trade-offs involved.

"This avoided a potential $10K/week loss""The cost of delay was higher than the risk""I prioritized fixing the root cause over a quick patch""My decision prevented cascading failures"

Amazon values leaders who understand business impact and can articulate trade-offs clearly.

Common Miss I fixed the problem but don’t know the impact

Candidate admits uncertainty and describes how they monitored outcomes and adjusted if needed.

"I monitored the system closely after deployment""I had a rollback plan ready""I learned from the outcome and improved the process""I iterated based on feedback"

Shows humility and learning orientation, critical for Are Right a Lot.

Common Miss I was 100% sure and never revisited the decision

Candidate highlights that the decision was outside their normal scope or responsibility and they took initiative.

"This wasn’t on my sprint""Nobody had filed a ticket for this""It wasn’t my team’s codebase""I noticed the issue while working on something else"

Demonstrates Ownership combined with Are Right a Lot, showing proactive judgment beyond assigned tasks.

Common Miss My manager told me to fix this

Depth Tip

Spend about 70% of your answer on the Action section, detailing your thought process, data gathering, risk assessment, and decision rationale. Limit Situation and Task combined to 50 seconds to maximize time for demonstrating judgment.

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 for Are Right a Lot.

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

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

No Risk or Trade-off Discussion

"I fixed the bug immediately without considering alternatives"

Shows lack of judgment and inability to weigh options, which is core to Are Right a Lot.

DetectionCheck if you mention any trade-offs or risks in your decision.

FixI evaluated the risks and decided the cost of delay outweighed the risk of acting.

Blind Guessing Without Rationale

"I just guessed the cause based on intuition"

Amazon expects data-driven or reasoned decisions, not blind guesses.

DetectionDid you explain how you inferred or validated your decision?

FixI used logs and consulted experts to validate my hypothesis before acting.

No Follow-up or Learning

"I made the change and moved on without monitoring"

Leaders Are Right a Lot by learning from outcomes; ignoring feedback shows poor judgment.

DetectionDid you describe how you monitored results or iterated?

FixI monitored the impact closely and adjusted the fix based on feedback.

Confusing Ownership with Execution

"I was assigned the bug and fixed it quickly"

Execution on assigned tasks is not Are Right a Lot; the competency requires judgment beyond assigned scope.

DetectionIs the story about something you initiated or just executed?

FixI noticed the issue outside my scope and took initiative to fix it.

Passive Voice Throughout

"The problem was identified and 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 worked on the issue and it got better"

Obscures individual contribution and decision-making clarity.

FixSpecify your role: 'I analyzed the logs and implemented the fix.'

Overuse of 'We' or 'Team'

"We decided to fix the bug"

Hides candidate’s individual judgment and ownership.

FixSay 'I decided' or 'I recommended' to highlight your role.

No Quantification

"The fix improved the system"

Lacks evidence of impact, weakening the Are Right a Lot signal.

FixAdd metrics: 'The fix reduced errors by 30%, saving $8K/week.'

Hedging or Uncertainty Without Action

"I wasn’t sure but I thought maybe to try something"

Shows lack of confidence and decisiveness expected for this competency.

FixFrame as 'Given limited data, I decided to act while monitoring closely.'

Direct Triggers

• Tell me about a time you made a difficult decision with incomplete information.
• Describe a situation where you had to rely on your judgment without full data.
• Give an example of when you were right despite uncertainty.
• Tell me about a time you had to make a call without all the facts.

Indirect Triggers

• Describe a time you took a risk to solve a problem.
• Tell me about a time you disagreed with the data or consensus.
• Give an example of when you had to act quickly without full clarity.
• Describe a situation where you learned from a decision that didn’t go as planned.

How to Recognize

Keywords: incomplete information, judgment, risk assessment, uncertainty, trade-offs, decision-making, monitoring outcomes, learning from mistakes.

Do Not Confuse With

OwnershipOwnership is about self-initiating and owning the problem; Are Right a Lot focuses on the quality of decisions made under uncertainty.

Bias for ActionBias for Action emphasizes speed and decisiveness; Are Right a Lot emphasizes sound judgment and correctness despite incomplete data.

Deliver ResultsDeliver Results is about meeting committed goals under pressure; Are Right a Lot is about making the right decisions even when goals or data are ambiguous.

How did you validate your decision given the incomplete information?

Probes: Checks if candidate used data or expert input rather than guessing.

Weak

I just went with my gut feeling.

Blind guessing shows poor judgment and lack of rigor.

Strong

I analyzed logs, consulted with the data team, and cross-checked metrics before deciding.

""I used available data and expert input to reduce uncertainty before acting.""

What risks did you consider before making the decision?

Probes: Assesses candidate’s ability to weigh trade-offs and anticipate consequences.

Weak

I didn’t really think about risks; I just fixed it.

Ignoring risks shows lack of judgment and incomplete decision-making.

Strong

I considered potential downtime and rollback plans, and decided the risk of inaction was greater.

""I balanced risks and benefits to make a reasoned decision under uncertainty.""

What was the impact of your decision on the business or team?

Probes: Evaluates understanding of business context and ability to quantify impact.

Weak

It improved things, but I don’t know by how much.

Lack of impact quantification weakens the signal of being right a lot.

Strong

My fix reduced error rates by 25%, preventing $8K/week in losses and improving customer trust.

""My decision prevented significant losses and improved system reliability.""

How did you monitor the outcome and what did you learn?

Probes: Checks for learning orientation and humility.

Weak

I didn’t follow up after the fix.

No follow-up shows lack of ownership and learning.

Strong

I monitored metrics post-deployment, identified a minor side effect, and iterated to fully resolve it.

""I monitored results closely and iterated based on what I learned.""

Amazon

Are Right a Lot

Amazon looks for leaders who make high-quality decisions with limited data, balancing speed and accuracy, and who learn quickly from mistakes to improve future decisions.

Signal: Candidate articulates trade-offs explicitly and quantifies impact, showing ownership beyond assigned tasks.

Example QTell me about a time you made a difficult decision with incomplete information.

What Elevates

Name the trade-off explicitly: I pushed back a sprint item by two days because the cost of inaction was $8K/week. I balanced risk and speed, and monitored outcomes closely. Amazon credits candidates who articulate the trade-off and learning clearly.

Google

Good Judgment

Google values data-driven decisions but also expects candidates to acknowledge uncertainty and iterate rapidly, reflecting a culture of continuous improvement and hypothesis testing.

Signal: Candidate describes data gathering and iterative learning cycles, showing how they formed hypotheses with partial data and refined their approach based on feedback and new information.

Example QDescribe a time you made a decision without having all the data you wanted.

What Elevates

Explain how you used partial data to form hypotheses, tested them quickly, and refined your approach based on feedback, demonstrating a balance of analytical rigor and adaptability aligned with Google's emphasis on rapid iteration.

Meta

Move Fast

Meta prioritizes speed and decisiveness even with incomplete information, accepting some risk of failure but expecting rapid iteration and course correction to minimize impact.

Signal: Candidate emphasizes speed of decision and quick course correction, showing comfort with ambiguity and a bias toward action while learning from outcomes.

Example QTell me about a time you had to make a quick decision without full information.

What Elevates

Highlight how you acted quickly to avoid delays, accepted some uncertainty, and iterated rapidly to fix issues, demonstrating Meta's culture of fast-paced decision-making balanced with continuous improvement.

SDE 1

Demonstrates sound judgment on tasks or bugs outside assigned scope with clear individual contribution and some team impact; no cross-team scope required. Shows ability to weigh risks and make decisions with partial data in routine scenarios.

Anti-pattern Story is purely assigned task execution with no ambiguity or judgment; no individual initiative.

SDE 2

Shows consistent good judgment on moderately ambiguous problems, including cross-team impact and quantifies trade-offs and outcomes clearly. Able to explain rationale and monitor results to iterate as needed.

Anti-pattern Story lacks quantification of impact or trade-offs; limited scope confined to own team.

Senior SDE

Makes high-quality decisions on complex, ambiguous problems affecting multiple teams or services; articulates trade-offs, risks, and long-term impact with data. Leads others in decision-making and learning from outcomes.

Anti-pattern Story confined to own team codebase without cross-team scope; no evidence of balancing trade-offs or learning from outcomes.

Staff Principal

Leads organization-wide decisions under extreme ambiguity; sets standards for decision-making quality, mentors others on judgment, and drives systemic improvements. Influences strategy and culture around making sound decisions with incomplete information.

Anti-pattern Story is tactical or operational without strategic impact or leadership in decision-making standards.

Cross-Team Incident Resolution

Shows judgment under ambiguity, initiative beyond own team, and impact on business metrics.

Webhook delivery silently dropping 0.3% of payments; no alert, no owner watching, not your sprint, quantifiable impact.

Also covers: Ownership · Dive Deep · Deliver Results

Feature Launch Decision Under Uncertainty

Demonstrates balancing risk and speed, making trade-offs, and learning from outcomes.

Deciding to launch a new feature with incomplete user data but high business urgency.

Also covers: Bias for Action · Customer Obsession · Invent and Simplify

Process Improvement Without Direct Mandate

Shows initiative, judgment, and ownership beyond assigned tasks.

Identifying and fixing a recurring data inconsistency that no team had prioritized.

Also covers: Ownership · Dive Deep · Insist on the Highest Standards

Stories Not Recommended

• Assigned Bug Fix - Story is execution on assigned tasks, no judgment or initiative beyond scope.
• Working Late to Meet Deadline - Effort and endurance do not demonstrate Are Right a Lot; no decision-making or judgment shown.

Prep Action

Select stories where you made decisions under uncertainty with measurable impact, emphasizing your reasoning, trade-offs, and learning.

Make sound decisions despite incomplete data with clear trade-offs.

Key Signal

"I weighed risks and benefits -> acted with 70% data -> monitored outcomes -> learned and iterated."

Top Disqualifier

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

Delivery Red Flag

"The problem was identified and fixed"

Prep Action

Prepare stories showing your judgment under uncertainty, emphasizing your reasoning, trade-offs, and measurable impact.

Practice

1. You faced a situation where you had to make a critical decision with incomplete data. You gathered all available information, consulted experts, and used your judgment to choose the best path forward. Which Amazon Leadership Principle does this primarily demonstrate?

easy

A. Are Right a Lot

B. Bias for Action

C. Customer Obsession

D. Deliver Results

Solution

1. Step 1: Identify the core behavior -- making decisions with incomplete data.
2. Step 2: Recognize that this reflects strong judgment and good decision-making.
3. Step 3: Bias for Action emphasizes speed, but here the focus is on correctness despite uncertainty.
4. Step 4: Are Right a Lot is about good judgment and making sound decisions even with limited information -> Are Right a Lot

Hint: Decision with incomplete data -> Are Right a Lot

Common Mistakes:

2. Candidate answer: "My manager asked me to analyze a drop in sales. I reviewed the data and found some inconsistencies. We then fixed the issue, and the team was happy with the results. I think it improved our process." What is the PRIMARY weakness in this answer?

easy

A. Manager-assigned investigation -- no self-initiation

B. Weak reflection on the impact

C. No second-order effect mentioned

D. Vague description of actions taken

Solution

1. Step 1: Identify who initiated the action -- the candidate says 'My manager asked me'.
2. Step 2: This shows lack of self-initiation, which is a fatal flaw for Are Right a Lot.
3. Step 3: Other issues like weak reflection or vague actions are secondary and fixable.
4. Step 4: Therefore, the primary weakness is manager-assigned investigation -> Manager-assigned investigation -- no self-initiation

Hint: Manager asked -> no ownership, fatal flaw

Common Mistakes:

3. In a candidate's answer, they say: "I used data from multiple sources to validate my hypothesis before making the decision." Which Amazon Leadership Principle does this sentence primarily demonstrate?

medium

A. Bias for Action

B. Dive Deep

C. Are Right a Lot

D. Invent and Simplify

Solution

1. Step 1: Identify the behavior -- validating hypothesis with multiple data sources.
2. Step 2: Dive Deep involves thorough investigation, but the focus here is on making the right decision.
3. Step 3: Are Right a Lot emphasizes good judgment and using data to be correct.
4. Step 4: Therefore, this sentence primarily signals Are Right a Lot -> Are Right a Lot

Hint: Data validation before decision -> Are Right a Lot

Common Mistakes:

4. What does the phrase "My manager asked me to investigate the issue" signal to the interviewer?

medium

A. Reflects strong time management skills

B. Shows good communication with management

C. Demonstrates proactive problem identification

D. Indicates task assignment, ownership signal destroyed

Solution

1. Step 1: Identify who initiated the action -- the manager.
2. Step 2: This means the candidate did not self-initiate the task.
3. Step 3: Lack of ownership is a critical negative signal in behavioral interviews.
4. Step 4: Therefore, the phrase signals task assignment and destroys ownership -> Indicates task assignment, ownership signal destroyed

Hint: "Manager asked" -> ownership lost, task assigned

Common Mistakes:

5. Candidate answer: "I noticed a recurring error in our system logs and decided to investigate without waiting for direction. I gathered data from multiple teams and identified the root cause. After analyzing options, I proposed a fix that reduced errors by 30%. We collectively decided to implement the solution, and the team saw improved stability. I also documented the process to prevent future issues." Which element is the disqualifier?

hard

A. "I noticed a recurring error and decided to investigate without waiting for direction."

B. "We collectively decided to implement the solution."

C. "I proposed a fix that reduced errors by 30%."

D. "I gathered data from multiple teams and identified the root cause."

Solution

1. Step 1: Identify who initiated the investigation -- candidate self-initiated (good).
2. Step 2: Candidate gathered data and proposed a fix with measurable impact (strong signals).
3. Step 3: The phrase "We collectively decided" dilutes individual ownership and decision-making.
4. Step 4: This subtle disqualifier weakens the Are Right a Lot signal -> "We collectively decided to implement the solution."

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

Common Mistakes: