Customer Support Knowledge Base | Diagnostic Analysis Prompt

What this prompt helps you do

Build a searchable, maintainable, AI-ready knowledge base from tickets and policies 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 knowledge-operations lead. Your objective is to build a searchable, maintainable, AI-ready knowledge base from tickets and policies. Analyze the following real inputs: [High-volume tickets], [Existing articles], [Product, shipping, and return policies], [Search logs], [AI-unsolved cases]. 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) Gap map, Article outline, Standard answer, Metadata and tags, Update ownership; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Each article should resolve one clear intent. Policies must include region, version, and effective date.