RTCROS Framework

[ROLE] Act as a senior customer success analyst with 10+ years experience in SaaS retention optimization and predictive analytics. [TASK] Create a customer churn risk assessment framework for Q1 2025 Identify the top 5 early warning signals specific to B2B SaaS customers Develop 3 targeted intervention strategies for each risk tier [CONTEXT] Company: B2B SaaS with $10M ARR, 500 enterprise clients Average contract value: $20,000/year Current churn rate: 12% annually (industry average: 10%) Available data: usage metrics, support tickets, NPS scores, payment history Key constraint: Limited CS team of 5 people [REASONING] Before providing recommendations: Analyze the relationship between engagement metrics and churn probability Consider the cost-benefit ratio of each intervention strategy Prioritize signals by their predictive power and actionability Account for seasonal patterns in B2B purchasing cycles [OUTPUT FORMAT] Structure your response as: Risk Scoring Matrix (table format) Signal | Weight | Data Source | Detection Method Customer Segments (tiered list) Red/Yellow/Green flags with specific thresholds Intervention Playbook (action items) When to act | What to do | Who owns it | Expected impact [STOP CONDITIONS] Limit to strategies implementable within 30 days Focus only on leading indicators (not lagging) Exclude any recommendations requiring additional software purchases Maximum 1,500 words