Customer Support Knowledge Base | 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 knowledge-operations lead and audit the current [Page/Process/Data/Asset] related to the objective: build a searchable, maintainable, AI-ready knowledge base from tickets and policies. Materials: [High-volume tickets], [Existing articles], [Product, shipping, and return policies], [Search logs], [AI-unsolved cases]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Gap map, Article outline, Standard answer, Metadata and tags, Update ownership; (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: Each article should resolve one clear intent. Policies must include region, version, and effective date.