Expected output
The deliverable should include Issue summary, Empathetic response, Resolution options, Internal actions, and Escalation conditions.
IntermediateCustomer Service & Retention AI
Post-Purchase Support | Diagnostic Analysis Prompt
Post-Purchase Support | Diagnostic Analysis Prompt is a copyable AI prompt for ecommerce sellers. Use it to resolve delays, damage, exchanges, refunds, and complaints while reducing avoidable churn from verified business inputs. Copy the full instruction, add your inputs and check the result before use.
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How the Post-Purchase Support | Diagnostic Analysis Prompt works
Resolve delays, damage, exchanges, refunds, and complaints while reducing avoidable churn 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.
[Order facts]
Replace this placeholder with verified, task-specific information before running the prompt.
[Policies]
Replace this placeholder with verified, task-specific information before running the prompt.
[Customer history]
Replace this placeholder with verified, task-specific information before running the prompt.
[Evidence of the issue]
Replace this placeholder with verified, task-specific information before running the prompt.
[Available remedies]
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 after-sales experience and dispute-resolution specialist. Your objective is to resolve delays, damage, exchanges, refunds, and complaints while reducing avoidable churn. Analyze the following real inputs: [Order facts], [Policies], [Customer history], [Evidence of the issue], [Available remedies]. 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) Issue summary, Empathetic response, Resolution options, Internal actions, Escalation conditions; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Confirm facts and policy before responding empathetically. Do not promise refunds, compensation, or timing the system cannot deliver.Test this prompt on a real task
Copy a starter instruction, add the required inputs, then run one example and review the output.
01Post-Purchase Support | Diagnostic Analysis Prompt
The deliverable should include Issue summary, Empathetic response, Resolution options, Internal actions, and Escalation conditions. Diagnose post-purchase support issues and prioritize evidence-backed action
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Post-Purchase Support | Diagnostic Analysis Prompt
The deliverable should include Issue summary, Empathetic response, Resolution options, Internal actions, and Escalation conditions. Diagnose post-purchase support issues and prioritize evidence-backed action
You are an ecommerce after-sales experience and dispute-resolution specialist. Your objective is to resolve delays, damage, exchanges, refunds, and complaints while reducing avoidable churn. Analyze the following real inputs: [Order facts], [Policies], [Customer history], [Evidence of the issue], [Available remedies]. 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) Issue summary, Empathetic response, Resolution options, Internal actions, Escalation conditions; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Confirm facts and policy before responding empathetically. Do not promise refunds, compensation, or timing the system cannot deliver.Inputs to replace in this prompt
[Order facts]- Replace this placeholder with verified, task-specific information before running the prompt.
[Policies]- Replace this placeholder with verified, task-specific information before running the prompt.
[Customer history]- Replace this placeholder with verified, task-specific information before running the prompt.
[Evidence of the issue]- Replace this placeholder with verified, task-specific information before running the prompt.
[Available remedies]- 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
Confirm facts and policy before responding empathetically. Do not promise refunds, compensation, or timing the system cannot deliver.
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 and contributing experts share prompts used in real work for post-purchase flows, campaign analysis, segmentation gaps, subject-line testing, flow audits, retention health, conversion speed, experimentation, and profit-aware offers.
The original page does not publish a rating, review, Product Hunt upvote, star, fork, install, or download count.
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