Explain tackling ambiguity and defending a decision

Describe a specific time you faced an ambiguous analytics problem with incomplete data and a tight deadline. 1) How did you define the decision, constraints, and success metric up front? 2) What options did you consider, what analyses or experiments did you run, and how did you decide despite uncertainty? 3) How did you align stakeholders who disagreed, and what trade-offs did you explicitly reject? 4) Six weeks later, strong evidence shows your decision was suboptimal—what do you do next, how do you communicate it, and how do you prevent recurrence? Be concrete about dates, metrics moved, and your personal role.