Step 1
Gather the page's current sections in their live order, the buyer's decision sequence as the merchant states it, the device constraints on section visibility, and the behaviour evidence showing which sections buyers actually reach.
Sections were bolted on over time, so the page reads as a stack of blocks rather than an ordered argument for buying. In this case, the immediate task is to design a clear information hierarchy for a product page. The workflow should produce a hierarchy with the reasoning for each placement, checked against the constraints and behaviour evidence supplied.
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.
Act as a Shopify operations specialist.
Help me design a clear information hierarchy for a product page.
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: [the current section list in live order, the stated buyer decision sequence, device constraints, behaviour evidence, and theme reordering limits]. Rank sections by what the buyer must confirm before committing to buy, place purchase terms and decision-critical detail adjacent to the purchase controls, push supporting material below those points, and flag any section the theme cannot reorder without custom work.
Return a hierarchy with the reasoning for each placement, checked against the supplied records and behaviour evidence 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.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Gather the page's current sections in their live order, the buyer's decision sequence as the merchant states it, the device constraints on section visibility, and the behaviour evidence showing which sections buyers actually reach.
Rank sections by what the buyer must confirm before committing to buy, place purchase terms and decision-critical detail adjacent to the purchase controls, push supporting material below those points, and flag any section the theme cannot reorder without custom work.
Deliver the hierarchy with the reason for each placement, then check it against the stated constraints and behaviour evidence, and record any deliberate deviation for products whose specifications justify moving a section up.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
The buyer's stated decision sequence: sections answering what must be confirmed before purchase sit high and beside the controls, while supporting detail follows; behaviour evidence then confirms buyers actually reach those sections rather than the order merely looking logical.
Yes, products with unusual specifications may pull one section up, and the deviation is recorded with its reason so it reads as a decision rather than drift; the base order stays consistent for returning buyers across the catalog.
The constraint is flagged at ranking time and carried into the delivered hierarchy as a custom-work note, so the merchant knows which moves are mere configuration and which need theme changes before the layout can be realised.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.