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Spark playbook scenarios · Spark: AI Store Assistant

Design a custom product page around the buying decision

A flagship or unusual item does not fit the store's default page, and copying that default buries the reasons people buy it. In this case, the immediate task is to design a custom product page around the buying decision. The workflow should produce a page design with its section logic and asset needs, dropping anything that serves no decision.

Topic
Product Page Creation
Target keyword
shopify custom product page design
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 design a custom product page around the buying decision.
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: [decision factors in buyer weighing order, brand assets, layout constraints, protected default-page conventions, and the evidence source for each decision factor]. Design a section sequence addressing each factor in the buyer's weighing order, attach an evidence source such as a spec, image or review to every factor, and drop any element that serves no recorded factor.
Return a page design with its section logic and asset needs, verified against the supplied records 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.
Use in Spark
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.

01

Step 1

Record this product's decision factors in the order buyers weigh them, the brand assets and layout constraints given, and which elements of the default page are protected conventions that must survive any redesign.

02

Step 2

Design a section sequence addressing each factor in the buyer's weighing order, attach an evidence source such as a spec, image or review to every factor, and drop any element that serves no recorded factor.

03

Step 3

Deliver the page design with its section logic, asset requirements and a list of the default elements dropped, then verify each design element maps to a decision factor and every factor has an answering section.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

When does a product justify a custom page?

When its decision factors differ enough from the catalog norm that the default template buries them, typically configurable, regulated or flagship items. The trigger is recorded as the specific factors the default page cannot carry in the buyer's order.

Does custom design mean starting from nothing?

No. Navigation, variant selection and purchase controls stay as proven conventions because buyers rely on finding them in familiar places. What is restructured is the section sequence carrying the persuasion argument.

How much customisation is too much?

When buyers can no longer find standard information such as price, shipping and returns quickly, the design has exceeded what the decision needs. The check is that every moved or dropped element still answers a recorded factor.

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Next step

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