Influence a senior partner with data

Q: Influence a senior partner with data

This question evaluates a data scientist's competence in influencing senior cross-functional leaders through ambiguous A/B test results, covering data-driven decision-making, experimental design, stakeholder management, communication of trade-offs, and measurement of outcomes.

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Question

Describe a time you had to influence a senior cross-functional leader to change a launch plan based on ambiguous A/B test results. Be specific: the decision stakes, your hypothesis, how you defined success metrics and guardrails, how you handled disagreement (e.g., disagree and commit), the data artifacts you produced (PR/FAQ, doc, dashboard), the trade-offs you highlighted, and the measurable outcome. What would you do differently next time to raise the bar?

Influence a senior partner with data

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