Expected output
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring.
Review and Feedback Management | 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.
Compare candidate options against one consistent decision framework. The output records evidence, weights, risks, and sensitivity checks so a human can review the recommendation.
The points below describe the task and expected output in this prompt.
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring.
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Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
Replace this placeholder with verified, task-specific information before running the prompt.
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You are an ecommerce voice-of-customer and reputation manager. Compare [Option A], [Option B], and [Option C] for the objective: summarize reviews, identify root causes, draft individualized replies, and drive product improvements. Inputs: [Reviews, surveys, and tickets], [Rating and channel], [SKU], [Customer value], [Brand reply rules]. 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 Themes and sentiment, Root causes, Reply drafts, Product and content actions, Trend monitoring. Do not invent missing information to force a conclusion. Special requirement: Do not argue or expose personal data. Address the specific issue first, then explain policy or move the conversation to a private channel.Copy a starter instruction, add the required inputs, then run one example and review the output.
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring. Compare options and make a reviewable review and feedback management decision
You are an ecommerce voice-of-customer and reputation manager. Compare [Option A], [Option B], and [Option C] for the objective: summarize reviews, identify root causes, draft individualized replies, and drive product improvements. Inputs: [Reviews, surveys, and tickets], [Rating and channel], [SKU], [Customer value], [Brand reply rules]. 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 Themes and sentiment, Root causes, Reply drafts, Product and content actions, Trend monitoring. Do not invent missing information to force a conclusion. Special requirement: Do not argue or expose personal data. Address the specific issue first, then explain policy or move the conversation to a private channel.[Option A][Option B][Option C][Reviews, surveys, and tickets][Rating and channel][SKU][Customer value][Brand reply rules]The generated result is a draft; check claims, numbers and operating conditions against source data before publishing, importing or acting on it.
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Do not argue or expose personal data. Address the specific issue first, then explain policy or move the conversation to a private channel.
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.
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