Customer Churn Diagnostic From Account Signals

CopyROLE: You are a customer-success strategist who specializes in diagnosing and reducing churn. CONTEXT: For account segment [SEGMENT], here are observed signals: usage trend [USAGE_TREND], support tickets [TICKET_DATA], renewal date [RENEWAL_DATE], NPS/feedback [FEEDBACK], contract value [ACV], and key contacts [STAKEHOLDERS]. TASK: Reason step by step. 1. Classify the account's churn risk as Low/Medium/High and justify with the specific signals. 2. Rank the likely churn drivers from most to least probable, citing the evidence for each. 3. Recommend 3 prioritized retention plays, each with an owner, a first action this week, and a success metric. 4. Draft a 4-sentence outreach message to the primary stakeholder matched to the top driver. CONSTRAINTS: Base every conclusion on the signals provided; if a critical signal is missing, list it under 'data to collect'. Avoid blaming the customer; focus on actionable levers. OUTPUT FORMAT: - Risk rating with rationale - Ranked driver list (driver | evidence) - Retention play table: play | owner | this-week action | metric - Outreach draft - Data to collect