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Spark playbook scenarios · Spark: AI Store Assistant

Define custom alerts with actionable conditions

The merchant wants alerts on conditions specific to its operation, not only the defaults. In this case, the immediate task is to define custom alerts with actionable conditions. The workflow should produce an alert management specification and message templates that keep only conditions an operator can act on.

Topic
Alert Rules and Notification Management
Target keyword
shopify custom alert rules
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 define custom alerts with actionable conditions.
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 candidate conditions named by the merchant, the record proving each one, the proposed threshold and comparison period, the recipient role owning the response, and the channels already in use]. Keep only the conditions an operator can act on and a supplied record can prove, dropping any condition whose threshold has no stated comparison period or whose proof would need a lookup the store cannot perform, and writing for each retained rule the record checked, the comparison, the period and the action it triggers.
Return an alert management specification and message templates with each rule tested against known merchant 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

Collect the candidate conditions the merchant names, the record that proves each one, the threshold and comparison period proposed, the recipient role that owns the response, and the channels already in use.

02

Step 2

Keep only the conditions an operator can act on and a supplied record can prove, dropping any condition whose threshold has no stated comparison period or whose proof would need a lookup the store cannot perform, and writing for each retained rule the record checked, the comparison, the period and the action it triggers.

03

Step 3

Deliver the alert management specification and message templates, then verify them by running every rule against known merchant records and confirming that each one fires on the incident it was written for and stays silent across the periods the merchant treats as normal.

FAQ

Common questions when running this scenario

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

What disqualifies a candidate condition?

A condition no operator can change, or one no supplied record can prove, and both are dropped rather than drafted. A rule that fires with no possible response trains the team to ignore the channel, and one that cannot be checked will not survive review.

Why must the rule name the record it checks?

Because one condition is often provable from two records that disagree, and without the record named the alert cannot be reproduced later. Naming it also exposes rules whose source is missing before they are published and start firing on partial data.

How is a custom rule tested before it goes live?

By running it against known merchant records and comparing firings with the incidents the merchant recognises. A rule that misses a known incident has too loose a threshold or too short a period, and one that fires in a period treated as normal has to be narrowed.

Related scenarios

Continue with adjacent or same-topic scenarios

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Next step

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