01
Step 1
Start with control and variant designs, traffic allocation, primary metric, guardrails and planned observation window.
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Spark playbook scenarios · Spark: AI Store Assistant
Design a controlled landing-page experiment
A team has competing page designs but cannot tell which improves a defined outcome. In this case, the immediate task is to design a controlled landing-page experiment. The workflow should produce an A/B test plan and decision framework, using the merchant's actual records and constraints.
Topic
Page A/B Testing
Target keyword
shopify landing page ab testing
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 controlled landing-page experiment.
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 control and variant designs, traffic allocation, primary metric, guardrails and planned observation window]. State the hypothesis, isolate the change, specify assignment and measurement and define how inconclusive results will be handled.
Return an A/B test plan and decision framework 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 team has competing page designs but cannot tell which improves a defined outcome. In this case, the immediate task is to design a controlled landing-page experiment. The workflow should produce an A/B test plan and decision framework, 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
State the hypothesis, isolate the change, specify assignment and measurement and define how inconclusive results will be handled.
03
Step 3
Deliver an A/B test plan and decision framework; 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.
Why not choose a winner after a few conversions?
Early differences can reflect random variation. The amount of evidence needed depends on traffic, variability and the effect being tested.
Should several unrelated page changes be tested together?
They can test a combined redesign, but they make it harder to identify which change caused the result.
What information is needed to investigate this use case?
Start with control and variant designs, traffic allocation, primary metric, guardrails and planned observation window. 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.
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Next step
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