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Spark playbook scenarios · Spark: AI Store Assistant

Diagnose a failing add-to-cart interaction

Visitors reach product pages but struggle to add an eligible item or overlook the purchase action. In this case, the immediate task is to diagnose a failing add-to-cart interaction. The workflow should produce an add-to-cart diagnosis and verification checklist, using the merchant's actual records and constraints.

Topic
Add to Cart Issues and Optimization
Target keyword
shopify add to cart button not working
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 diagnose a failing add-to-cart interaction.
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 affected URLs, selected variants, device details, error evidence and funnel counts]. Reproduce the interaction where access allows, separate availability and technical failures from copy or placement issues and propose testable fixes.
Record the selected variant, stock state, browser, exact interaction and observed failure before proposing a fix.
Return an add-to-cart diagnosis and verification checklist 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
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.

Visitors reach product pages but struggle to add an eligible item or overlook the purchase action. In this case, the immediate task is to diagnose a failing add-to-cart interaction. The workflow should produce an add-to-cart diagnosis and verification checklist, 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.

01

Step 1

Start with affected URLs, selected variants, device details, error evidence and funnel counts.

02

Step 2

Reproduce the interaction where access allows, separate availability and technical failures from copy or placement issues and propose testable fixes.

03

Step 3

Record the selected variant, stock state, browser, exact interaction and observed failure before proposing a fix.

04

Step 4

Deliver an add-to-cart diagnosis and verification checklist; 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 low add-to-cart rate always mean the button is broken?

No. Product fit, pricing, stock availability and unclear information can also reduce intent to add an item.

Why test multiple variants?

One variant may be unavailable or incorrectly configured while another works. A single successful click does not verify all combinations.

Why is the selected variant important when diagnosing the button?

A failure may depend on an unavailable or incorrectly configured variant rather than the button itself.

Related scenarios

Continue with adjacent or same-topic scenarios

Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.

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Next step

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