Prompt

Onsite Search | Audit and Experimentation Prompt

Onsite Search | Audit and Experimentation Prompt is a reusable ecommerce AI prompt for Platform agnostic sellers. Use it to audit an existing page, process, dataset,…

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 search and product-discovery specialist and audit the current [Page/Process/Data/Asset] related to the objective: improve query understanding, result relevance, zero-result handling, and search conversion. Materials: [Search-query logs], [Clicks, add-to-cart, and purchases], [Product attributes], [Zero-result queries], [Reformulated queries]. Classify findings as Blocking, Major, Moderate, or Optimization, and quote the evidence that triggers each finding. Provide: (1) an issue list; (2) Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, Evaluation metrics; (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 optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.

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