Tell me about a time when you identified a potential churn risk through analysis of retention metrics. How did you lead the effort to address the root cause, resolve any internal conflicts, and what was the outcome?

Use STAR framework: 1) Situation: Identify a drop in retention metrics. 2) Task: Analyze data to pinpoint churn risk. 3) Action: Collaborate with teams, resolve conflicts, implement solutions. 4) Result: Quantify reduced churn, improved customer satisfaction, and business outcomes. Highlight analytical rigor, leadership in cross-functional alignment, and measurable impact on retention.

While analyzing monthly retention metrics, I noticed a 15% decline in active users for a key client segment. I led a cross-functional team to investigate, uncovering that poor onboarding experiences and unmet product expectations were root causes. I facilitated workshops with product and support teams to align on solutions, resolving conflicts around resource allocation by prioritizing high-impact fixes. We implemented a revised onboarding flow and introduced quarterly check-ins with clients. Within six months, churn for that segment dropped by 20%, and customer satisfaction scores improved by 30%. This effort not only retained $2M in annual revenue but also strengthened long-term client relationships, demonstrating my ability to turn data insights into actionable strategies.