Membership and Loyalty | Diagnostic Analysis Prompt

What this prompt helps you do

Design points, tiers, benefits, referrals, and community mechanics that increase long-term value from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce loyalty and customer-value strategist. Your objective is to design points, tiers, benefits, referrals, and community mechanics that increase long-term value. Analyze the following real inputs: [Customer-value distribution], [Purchase cycle], [Margin], [Existing benefits], [Brand differentiation]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Program value proposition, Tiers and rules, Cost model, Communication plan, Success metrics; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Reward valuable behavior rather than indiscriminate discounting. Model benefit cost, liability, and abuse risk.