Expected output
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring.
IntermediateCustomer Service & Retention AI
Review and Feedback Management | Diagnostic Analysis Prompt
Review and Feedback Management | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to summarize reviews, identify root causes, draft individualized replies, and drive product improvements from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the Review and Feedback Management | Diagnostic Analysis Prompt works
Summarize reviews, identify root causes, draft individualized replies, and drive product improvements from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.
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.
[Reviews, surveys, and tickets]
Replace this placeholder with verified, task-specific information before running the prompt.
[Rating and channel]
Replace this placeholder with verified, task-specific information before running the prompt.
[SKU]
Replace this placeholder with verified, task-specific information before running the prompt.
[Customer value]
Replace this placeholder with verified, task-specific information before running the prompt.
[Brand reply rules]
Replace this placeholder with verified, task-specific information before running the prompt.
Copy the complete prompt
The complete source is shown below. Copy it from the top right to use it.
You are an ecommerce voice-of-customer and reputation manager. Your objective is to summarize reviews, identify root causes, draft individualized replies, and drive product improvements. Analyze the following real inputs: [Reviews, surveys, and tickets], [Rating and channel], [SKU], [Customer value], [Brand reply rules]. 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) Themes and sentiment, Root causes, Reply drafts, Product and content actions, Trend monitoring; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. 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.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Review and Feedback Management | Diagnostic Analysis Prompt
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring. Diagnose review and feedback management issues and prioritize evidence-backed action
Show prompt and variablesHide prompt and variables
Review and Feedback Management | Diagnostic Analysis Prompt
The deliverable should include Themes and sentiment, Root causes, Reply drafts, Product and content actions, and Trend monitoring. Diagnose review and feedback management issues and prioritize evidence-backed action
You are an ecommerce voice-of-customer and reputation manager. Your objective is to summarize reviews, identify root causes, draft individualized replies, and drive product improvements. Analyze the following real inputs: [Reviews, surveys, and tickets], [Rating and channel], [SKU], [Customer value], [Brand reply rules]. 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) Themes and sentiment, Root causes, Reply drafts, Product and content actions, Trend monitoring; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. 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.Inputs to replace in this prompt
[Reviews, surveys, and tickets]- Replace this placeholder with verified, task-specific information before running the prompt.
[Rating and channel]- Replace this placeholder with verified, task-specific information before running the prompt.
[SKU]- Replace this placeholder with verified, task-specific information before running the prompt.
[Customer value]- Replace this placeholder with verified, task-specific information before running the prompt.
[Brand reply rules]- 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 argue or expose personal data. Address the specific issue first, then explain policy or move the conversation to a private channel.
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 materialKlaviyo
This link is reference material and does not establish its page author as the author of this Prompt. The author shares frameworks his team uses to analyze reviews at scale, build customer profiles, generate ideas from source material, audit email programs, and examine retention from an executive perspective.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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