MediumBehavioralBehavioral10 min to answer

How would you handle conflicting opinions from two senior engineers?

Asked at

OpenAI

1Give yourself 10 minutes

2Answer out loud, not in your head

3Then compare with the answer below

Stuck? Show a way to structure it+

01Clarify objective, users, constraints, and failure tolerance.
02Cover decision framing, evidence, disagree-and-commit, escalation in a causal structure.
03Compare at least two credible approaches.
04Specify evaluation, rollout, monitoring, and rollback.

Reference answer

strong answer

I would begin by defining the target outcome and acceptable failure boundary. For Collaboration, I would analyze decision framing, evidence, disagree-and-commit, escalation, compare alternatives on quality, latency, cost, and risk, and validate on representative slices before a monitored rollout.

decision framing
evidence
disagree-and-commit
escalation

Requires scenario-specific numbers
Should include relevant personal experience

alternative answer

I would start with the riskiest assumption in Collaboration, create the cheapest discriminating experiment, then use the evidence to choose an architecture and release threshold.

experimentation
risk-first sequencing
decision clarity

Needs deeper implementation detail

Grade yourself

decision framing

weight 30%

StrongExplains decision framing with mechanisms, trade-offs, and validation.

WeakNames decision framing without operational implications.

evidence

weight 25%

StrongExplains evidence with mechanisms, trade-offs, and validation.

WeakNames evidence without operational implications.

disagree-and-commit

weight 25%

StrongExplains disagree-and-commit with mechanisms, trade-offs, and validation.

WeakNames disagree-and-commit without operational implications.

escalation

weight 20%

StrongExplains escalation with mechanisms, trade-offs, and validation.

WeakNames escalation without operational implications.

Then expect these follow-ups

Which assumption is most likely to invalidate your approach?
Tests: depth
What would you measure offline and in production?
Tests: evaluation
How would your answer change with one-tenth the data or compute?
Tests: adaptability

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