Expected output
The deliverable should include Draft response, Evidence used, Required lookups, Next step, and Escalation decision.
IntermediateCustomer Service & Retention AI
Online Customer Support | Comparative Decision Prompt
Online Customer Support | 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 Online Customer Support | 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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[Knowledge base]
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[Product and order tools]
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[Brand voice]
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[Customer question]
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[Escalation conditions]
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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 support operations and AI service designer. Compare [Option A], [Option B], and [Option C] for the objective: answer pre-sales and common support questions quickly, accurately, and in line with policy. Inputs: [Knowledge base], [Product and order tools], [Brand voice], [Customer question], [Escalation conditions]. 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 Draft response, Evidence used, Required lookups, Next step, Escalation decision. Do not invent missing information to force a conclusion. Special requirement: Do not invent order status, inventory, or policy. Verify and escalate payments, identity, refunds, and exceptional commitments.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Online Customer Support | Comparative Decision Prompt
The deliverable should include Draft response, Evidence used, Required lookups, Next step, and Escalation decision. Compare options and make a reviewable online customer support decision
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Online Customer Support | Comparative Decision Prompt
The deliverable should include Draft response, Evidence used, Required lookups, Next step, and Escalation decision. Compare options and make a reviewable online customer support decision
You are an ecommerce support operations and AI service designer. Compare [Option A], [Option B], and [Option C] for the objective: answer pre-sales and common support questions quickly, accurately, and in line with policy. Inputs: [Knowledge base], [Product and order tools], [Brand voice], [Customer question], [Escalation conditions]. 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 Draft response, Evidence used, Required lookups, Next step, Escalation decision. Do not invent missing information to force a conclusion. Special requirement: Do not invent order status, inventory, or policy. Verify and escalate payments, identity, refunds, and exceptional commitments.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.
[Knowledge base]- Replace this placeholder with verified, task-specific information before running the prompt.
[Product and order tools]- Replace this placeholder with verified, task-specific information before running the prompt.
[Brand voice]- Replace this placeholder with verified, task-specific information before running the prompt.
[Customer question]- Replace this placeholder with verified, task-specific information before running the prompt.
[Escalation conditions]- 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 invent order status, inventory, or policy. Verify and escalate payments, identity, refunds, and exceptional commitments.
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 materialSalesforce
This link is reference material and does not establish its page author as the author of this Prompt. The author offers executable prompts for small ecommerce businesses and emphasizes specific goals, business context, and clear deliverables such as service surveys, store optimization, and operating efficiency.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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