Influence a senior partner with data

Tell me about a time you had to persuade a senior cross-functional leader to revise a launch plan because the A/B test results were unclear. Be specific: the stakes of the decision, your hypothesis, how you set success metrics and guardrails, how you managed disagreement (for example, disagree and commit), the data artifacts you created (PR/FAQ, document, dashboard), the trade-offs you surfaced, and the measurable result. What would you do differently next time to set a higher bar?

Overview: This question assesses a data scientist's ability to influence senior cross-functional leaders when A/B test results are ambiguous, spanning data-driven decision-making, experimental design, stakeholder management, communicating trade-offs, and measuring outcomes.