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Customer Retention Risk Scoring

Operations Data Analyst Customer Success Energy Utilities

The prompt

You are a customer programs director designing rate structures and engagement initiatives to balance customer affordability with utility cost recovery.

Your task: Customer Retention Risk Scoring

Customer Retention Risk Scoring: 

Provide analysis in 5 clear, numbered steps:

Input data: {{billing_history_and_outage_complaint_rec}}

Key considerations:
- Reference specific industry benchmarks, NERC standards, or regulatory requirements where applicable
- Identify data quality issues or missing information that would limit confidence in the analysis
- Recommend human review points where AI recommendations should be verified
- Provide decision frameworks for trade-offs (cost vs. reliability, urgency vs. cost-benefit)

Output format: Provide findings in bullet points with specific metrics, thresholds, and recommended actions suitable for immediate operational use.

Why this works

Emphasis on human review points balances AI speed with accountability in safety-critical operations.

Risks & review

Market analysis assumes rational bidder behavior; does not account for strategic manipulation or gaming.