Customer Analytics | 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 customer-value and behavior analyst and audit the current [Page/Process/Data/Asset] related to the objective: analyze acquisition cohorts, repeat purchase, retention, LTV, preferences, and service experience. Materials: [Customer orders], [First-touch acquisition channel], [Engagement], [Returns and support], [Privacy consent]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Cohort analysis, LTV and payback period, Repeat-purchase path, High-value characteristics, Actions; (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: Do not use future information to predict the past. Define observation windows, censoring, and identity-resolution rules.