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Step 1
Start with order details, purchased items, policy, request reason and prior refunds.
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Spark playbook scenarios · Spark: AI Store Assistant
Prepare refund decisions from policy and order evidence
A support team needs consistent handling of return or refund requests without skipping eligibility checks. In this case, the immediate task is to prepare refund decisions from policy and order evidence. The workflow should produce a return or refund decision draft and processing steps, using the merchant's actual records and constraints.
Topic
Returns and Refund Automation
Target keyword
shopify refund automation
Copyable AI prompt
A prompt you can drop directly into Spark
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
ai-prompt.txt
Act as a Shopify operations specialist.
Help me prepare refund decisions from policy and order evidence.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [provide order details, purchased items, policy, request reason and prior refunds].
Check the supplied eligibility rules, calculate the proposed outcome and handle exceptions before any authorized system action.
Check line-item quantities, prior refunds and the stated refund policy before proposing an amount.
Return a return or refund decision draft and processing steps for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.Scenario & problem
When does this scenario usually come up?
Start with the business context, the trigger, and the expected output before moving into the execution steps.
A support team needs consistent handling of return or refund requests without skipping eligibility checks. In this case, the immediate task is to prepare refund decisions from policy and order evidence. The workflow should produce a return or refund decision draft and processing steps, using the merchant's actual records and constraints.
How to solve
A recommended resolution workflow
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
02
Step 2
Check the supplied eligibility rules, calculate the proposed outcome and handle exceptions before any authorized system action.
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Step 3
Check line-item quantities, prior refunds and the stated refund policy before proposing an amount.
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Step 4
Deliver a return or refund decision draft and processing steps; verify the result against the supplied records and identify unresolved inputs.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Does a return request always require a refund?
No. The applicable policy and circumstances may lead to a return, exchange, refund or further review.
Why check prior refunds?
Without that check, repeated requests can lead to duplicate or excessive refunds.
Why is refunding an entire order not always appropriate?
The request may cover only some items or amounts. Use the actual eligible scope and prior refund history.
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Next step
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