Customer Data and Segmentation | Audit and Experimentation Prompt

What this prompt helps you do

Audit an existing page, process, dataset, or asset, separate facts from assumptions, and turn the highest-priority issues into tests with baselines, metrics, and stop conditions.

Prompt text

Act as a ecommerce lifecycle and CRM analyst and audit the current [Page/Process/Data/Asset] related to the objective: build actionable customer segments based on behavior, value, preferences, and lifecycle stage. Materials: [Order and browsing data], [Engagement data], [Channel], [Product preference], [Consent and privacy status]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Segment definitions, Entry and exit rules, Size and value, Treatment strategy, Bias check; (3) at least four improvements or experiments prioritized by impact versus effort; (4) for each experiment, the hypothesis, change, primary metric, guardrail metrics, observation period, and stopping rule; and (5) required human approvals before publishing or execution. Special requirement: Use only compliant data with a business rationale. Avoid sensitive-attribute inference and prevent permanent, unreviewed segmentation.