01
Step 1
Start with store URLs, catalog and operational reports, observed issues and scope of accessible systems.
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Spark playbook scenarios · Spark: AI Store Assistant
Audit store health across accessible evidence
A merchant senses that store issues are affecting operations but has no prioritized overview. In this case, the immediate task is to audit store health across accessible evidence. The workflow should produce a store health report with evidence, owners and next checks, using the merchant's actual records and constraints.
Topic
Store Health Audits
Target keyword
shopify store audit tool
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 audit store health across accessible 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 store URLs, catalog and operational reports, observed issues and scope of accessible systems].
Review available evidence across relevant areas, distinguish confirmed issues from untested checks and prioritize actions by impact and effort.
Return a store health report with evidence, owners and next checks 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 merchant senses that store issues are affecting operations but has no prioritized overview. In this case, the immediate task is to audit store health across accessible evidence. The workflow should produce a store health report with evidence, owners and next checks, 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
Review available evidence across relevant areas, distinguish confirmed issues from untested checks and prioritize actions by impact and effort.
03
Step 3
Deliver a store health report with evidence, owners and next checks; 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 health score explain what to fix?
A score alone does not. Actionable findings need affected records, evidence and a clear next step.
Can an audit cover areas the AI cannot access?
It can list needed checks, but it must not report inaccessible areas as verified healthy or broken.
What information is needed to investigate this use case?
Start with store URLs, catalog and operational reports, observed issues and scope of accessible systems. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.
Related scenarios
Continue with adjacent or same-topic scenarios
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Next step
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