Describe a Situation Where You Pushed Back on a Decision You Believed Was Wrong - Bar Raiser Evaluate

Evaluate These Two Answers

"Tell me about a time you disagreed with a decision at work and how you handled it."

SDE 2⏱ 3 minAmazon Bar Raiser. LP evaluated explicitly. Content scored, not delivery.

Score BOTH candidates on Ownership Signal, Action Specificity, and Quantified Impact BEFORE applying the full rubric.

If you scored Candidate A >40 total, your calibration is biased toward fluency. Bar Raisers ignore delivery and score content only.

Candidate A

During a project, my manager suggested I look into this since I had bandwidth. I discovered a recurring bug causing deployment delays after analyzing logs independently. After implementing a fix, deployment time improved by 25%, reducing customer complaints by 15%. Although the issue was resolved, I realize now I should have taken more initiative instead of waiting for direction.

Fluent delivery, confident tone - most untrained evaluators score this high

Candidate B

I noticed a critical design decision was moving forward without considering scalability concerns. I disagreed because our data showed projected user growth would exceed current capacity within months. I presented detailed metrics comparing load tests and historical trends to the team and leadership. Despite initial resistance, I committed fully to the final decision after we agreed on a phased rollout plan. This approach saved an estimated $120K in potential downtime costs and improved customer satisfaction by reducing outages by 30%.

35-55 seconds longer - every extra second is signal-dense content

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Score Comparison

Dimension

Weight

Candidate A

Candidate B

structure star

15%

12

14

ownership signal

30%

5

28

action specificity

25%

8

24

quantified impact

20%

10

19

self awareness

10%

5

10

Total

40 No Hire

95 Strong Hire

AUTO-FAIL: my manager suggested I look into this since I had bandwidth - assigned task. Score 1. No Hire.

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Auto-Fail Markers

manager-directed ownership

"Candidate A - my manager suggested I look into this since I had bandwidth"

Ownership requires self-initiation. Manager-assigned = execution. Score 1 on ownership_signal (weight=30) = No Hire always.

collective language hiding individual contribution

"Candidate A - we found a recurring bug causing delays in deployment"

Using 'we' hides individual ownership and initiative. This weakens ownership signal and contributes to No Hire.

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Bar Raiser Notes

Ownership weak - manager-directed; collective language; minimal quantified impact; limited action specificity; self-awareness present but insufficient; No Hire.

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Fix-It Challenge

Ownership initiation

Before"my manager suggested I look into this since I had bandwidth"

→

After"I noticed the issue during a code review with no ticket filed and decided to investigate proactively"

Shows self-initiation and ownership rather than manager assignment

Individual contribution clarity

Before"we found a recurring bug causing delays in deployment"

→

After"I discovered a recurring bug causing deployment delays after analyzing logs independently"

Highlights personal ownership and initiative instead of collective phrasing

Quantify impact

Before"After implementing a fix, the deployment time improved."

→

After"After implementing a fix, deployment time improved by 25%, reducing customer complaints by 15%"

Adds quantified impact and business relevance to strengthen the result

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Coaching Notes

• At Amazon, 'Have Backbone Disagree and Commit' requires clear evidence of self-initiated disagreement supported by data, followed by full commitment to the final decision.
• Avoid phrases that imply manager direction such as 'my manager suggested' because they negate ownership and lead to automatic No Hire.
• Use precise individual language rather than collective 'we' to highlight your personal role and initiative.
• Quantify the impact of your disagreement and commitment in business terms to demonstrate measurable value.
• Show self-awareness by reflecting on what you learned or how you improved, but ensure ownership and impact signals are strong first.

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Model Answer Guidance

Why This Answer Works at Amazon

This candidate clearly identifies a disagreement based on data ('our data showed projected user growth would exceed current capacity'), presents concrete metrics, and demonstrates full commitment after discussion. The quantified impact ($120K saved, 30% fewer outages) translates technical work into business value, a key Amazon signal. The candidate also shows self-awareness by acknowledging initial resistance and how they adapted. This aligns perfectly with Amazon's Leadership Principle #13, emphasizing backbone, data-driven disagreement, and commitment.