Root-cause an incident and drive consensus

A critical KPI (voice checkout conversion) suddenly drops for Alexa Shopping. Walk through your root-cause approach: define the problem precisely (which locales/devices/intents), generate and prioritize hypotheses (ASR/NLU errors, payment tokenization failures, catalog/availability, latency), build a causal graph, and design analyses (funnel breakpoints, feature flag diffs, recent deploy diffs, switchback rollback test). Propose short-term mitigations (feature rollback, circuit breakers) and long-term fixes, then outline how you would persuade skeptical stakeholders: structure the decision doc, quantify impact, address risks with guardrails, secure alignment, and define owner-by-owner action items. Explain how you will measure success post-fix and prevent recurrence (dashboards, anomaly alerts, postmortem with clear owners).