Tell Me About a Time Your Big Thinking Led to a Significant Business Outcome - Bar Raiser Evaluate

Evaluate These Two Answers

"Tell me about a time you identified a problem outside your immediate responsibilities and proposed a scalable solution that had significant business impact."

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 sprint focused on feature development, my manager suggested I look into this since I had bandwidth. While working on my tasks, we found that the billing system was causing delays but it wasn't on my sprint. I collaborated with the team to patch the issue quickly, which helped improve processing times. Although it was a team effort, I contributed to identifying the root cause and deploying the fix.

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

Candidate B

I noticed during a routine audit that the billing system was experiencing frequent delays, yet no one on my team had a ticket to address it. I proposed a scalable solution involving automation of error detection and alerting, which I designed and implemented independently. This reduced billing delays by 20%, saving the company approximately $50K monthly in operational costs and improving customer satisfaction scores. I also documented the process and shared it with other teams to replicate the success across services.

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%

1

28

action specificity

25%

10

24

quantified impact

20%

2

19

self awareness

10%

0

10

Total

25 No Hire

95 Strong Hire

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Auto-Fail Markers

manager-directed task

"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 that the billing system was causing delays"

Using 'we' without clarifying individual role obscures ownership. Score 1 on ownership_signal (weight=30) = No Hire always.

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Bar Raiser Notes

Ownership weak - manager-directed; collective language obscures individual role; zero quantification in impact; lacks self-awareness; 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 billing delays during a system review and decided to investigate on my own initiative"

Shows self-initiation rather than manager assignment, critical for Amazon Ownership.

Individual contribution clarity

Before"we found that the billing system was causing delays"

→

After"I identified that the billing system was causing delays"

Clarifies personal ownership instead of collective language.

Quantify impact

Before"helped improve processing times"

→

After"reduced billing delays by 20%, saving $50K monthly and improving customer satisfaction"

Quantified impact translates technical fix into business value.

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Coaching Notes

• Amazon Think Big requires candidates to demonstrate self-initiated ownership beyond their immediate scope; phrases like 'my manager suggested' signal lack of ownership and lead to automatic failure.
• Avoid collective pronouns like 'we' without specifying your individual role; Amazon Bar Raisers look for clear personal contribution.
• Quantify the impact of your solution in business terms (cost savings, performance improvements) to show the scale of your thinking.
• Demonstrate awareness of the broader effect of your work, including knowledge sharing or scalability.
• Structure your answer with clear task context, multiple 'I' actions, and measurable results to meet Amazon's STAR expectations.

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Model Answer Guidance

A strong Think Big answer at Amazon starts with noticing a problem outside your assigned work without manager prompting, proposes a scalable solution you designed and implemented, quantifies the impact in business terms, and shows awareness of second-order effects such as knowledge sharing or cost savings. Use explicit 'I' statements to highlight ownership and avoid collective language that dilutes your contribution.