Expected output
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics.
IntermediateStore Experience & Conversion AI
Onsite Search | Comparative Decision Prompt
Onsite Search | Comparative Decision Prompt is a copyable AI prompt for ecommerce sellers. Use it to compare candidate options against one consistent decision framework. Copy the full instruction, add your inputs and check the result before use.
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How the Onsite Search | Comparative Decision Prompt works
Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.
Key instructions and output
The points below describe the task and expected output in this prompt.
Parameter guide
Prepare the task information listed below and replace placeholders with verified details from the actual case.
[Option A]
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[Option B]
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[Option C]
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[Search-query logs]
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[Clicks, add-to-cart, and purchases]
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[Product attributes]
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[Zero-result queries]
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[Reformulated queries]
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Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce search and product-discovery specialist. Compare [Option A], [Option B], and [Option C] for the objective: improve query understanding, result relevance, zero-result handling, and search conversion. Inputs: [Search-query logs], [Clicks, add-to-cart, and purchases], [Product attributes], [Zero-result queries], [Reformulated queries]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, Evaluation metrics. Do not invent missing information to force a conclusion. Special requirement: Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Onsite Search | Comparative Decision Prompt
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics. Compare options and make a reviewable onsite search decision
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Onsite Search | Comparative Decision Prompt
The deliverable should include Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, and Evaluation metrics. Compare options and make a reviewable onsite search decision
You are an ecommerce search and product-discovery specialist. Compare [Option A], [Option B], and [Option C] for the objective: improve query understanding, result relevance, zero-result handling, and search conversion. Inputs: [Search-query logs], [Clicks, add-to-cart, and purchases], [Product attributes], [Zero-result queries], [Reformulated queries]. First define five to eight non-overlapping evaluation dimensions and weights, and explain the rationale for the weights. Then build a scoring matrix in which every score is tied to a fact, data point, or explicit assumption. Provide the best choice, conditions under which it is best, irreversible risks, the lowest-cost validation method, and Query-intent taxonomy, Synonyms and typo handling, Ranking rules, Zero-result strategy, Evaluation metrics. Do not invent missing information to force a conclusion. Special requirement: Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.Inputs to replace in this prompt
[Option A]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option B]- Replace this placeholder with verified, task-specific information before running the prompt.
[Option C]- Replace this placeholder with verified, task-specific information before running the prompt.
[Search-query logs]- Replace this placeholder with verified, task-specific information before running the prompt.
[Clicks, add-to-cart, and purchases]- Replace this placeholder with verified, task-specific information before running the prompt.
[Product attributes]- Replace this placeholder with verified, task-specific information before running the prompt.
[Zero-result queries]- Replace this placeholder with verified, task-specific information before running the prompt.
[Reformulated queries]- Replace this placeholder with verified, task-specific information before running the prompt.
What to check before using the output
The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
Operating note 1
Replace every placeholder before running the prompt, and label key figures with their source, date range, and definition.
Operating note 2
Do not optimize for clicks alone. Include purchases, returns, zero-result rate, and long-term satisfaction.
Operating note 3
Before uploading order, customer, contract, or supplier data, redact sensitive information and comply with platform terms, privacy policies, NDAs, and company data-governance requirements. Have the responsible operator review the result before it is published, sent, or executed.
Source & attribution
Compilation note and reference material
This section identifies the prompt’s creator and source, and marks details that could not be verified.
Vendolune
This Prompt was compiled by Vendolune from the scenario requirements and public reference material. The reference-page author is not credited as this Prompt's author.
Reference materialShopify
This link is reference material and does not establish its page author as the author of this Prompt. The article shares prompt examples for ecommerce SEO, blogs, product descriptions, creative work, social media, customer service, market research, data analysis, and internal documentation, emphasizing context, tone, format, and examples.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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