Customer Data and Segmentation | Comparative Decision Prompt

What this prompt helps you do

Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.

Prompt text

You are an ecommerce lifecycle and CRM analyst. Compare [Option A], [Option B], and [Option C] for the objective: build actionable customer segments based on behavior, value, preferences, and lifecycle stage. Inputs: [Order and browsing data], [Engagement data], [Channel], [Product preference], [Consent and privacy status]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Segment definitions, Entry and exit rules, Size and value, Treatment strategy, Bias check. Do not invent missing information to force a conclusion. Special requirement: Use only compliant data with a business rationale. Avoid sensitive-attribute inference and prevent permanent, unreviewed segmentation.