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Spark playbook scenarios · Spark: AI Store Assistant

Structure a maintainable customer support knowledge base

Support answers drift because the policies, product notes and old macros behind them disagree. In this case, the immediate task is to structure a maintainable customer support knowledge base. The workflow should organize the approved documents and repeated questions into topics, resolve conflicts, and trace every answer to its source and update date.

Topic
Support FAQs and Knowledge Base
Target keyword
shopify customer support knowledge base
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 structure a maintainable customer support knowledge base.
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 approved policy documents, product references and existing macros with each owner and last revision date, the questions support repeats most and the recorded conflict resolutions]. Group the questions into topics by what the shopper asks, resolve conflicts between sources by recording which source wins for that topic and keeping the version its owner confirms, and mark questions no approved source answers as needing one.
Return a support knowledge base outline and grounded FAQ answers, each traced to a source and its update date 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

Gather the approved policy documents, product references and existing macros with the owner and last revision date of each, plus the questions support repeats most often.

02

Step 2

Group the questions into topics by what the shopper asks, resolve conflicts between sources by recording which source wins for that topic and keeping the version its owner confirms, and mark questions no approved source answers as needing one.

03

Step 3

Deliver the outline with each article traced to its source and update date and an owner per source document, then compare every article's update date with its source's latest revision and list those changed since.

FAQ

Common questions when running this scenario

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

How should articles be grouped?

By the question the shopper actually asks, with the related policies linked underneath. Grouping by internal document forces agents to translate the question before they can even search.

What happens when two sources disagree?

Record the conflict, ask the source owner to rule, and write the winning version into the article with the date. Leaving both in place lets agents answer the same question two different ways.

How is a stale article found?

Compare each article's update date against the latest revision of the source it cites and re-review any article whose source changed afterwards. Reviewing on a calendar alone misses sources that changed early.

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.

Next step

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