01
Step 1
Collect the active alert types, the current owner and state of every open item, the source system that raised it, the delivery channels in use, and the severity and first-seen time recorded for each.
Back to topic
Spark playbook scenarios · Spark: AI Store Assistant
Organize unresolved alerts in a shared operational view
Alerts arrive through several channels and nobody can see which conditions are still open. In this case, the immediate task is to organize unresolved alerts in a shared operational view. The workflow should produce an alert management specification and message templates grouping events by owner and severity.
Topic
Alert Rules and Notification Management
Target keyword
shopify alert dashboard
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 organize unresolved alerts in a shared operational view.
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 active alert types, the current owner and state of every open item, the source system that raised it, the delivery channels in use, and the recorded severity and first-seen time]. Group events sharing one condition and owner into a single row carrying a count and an age, keep acknowledged work in a state distinct from unresolved conditions, and flag any item whose source system has stopped reporting it or whose owner is unassigned rather than letting it age silently.
Return an alert management specification and message templates checked against the merchant's open alert 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.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
Group events sharing one condition and owner into a single row carrying a count and an age, keep acknowledged work in a state distinct from unresolved conditions, and flag any item whose source system has stopped reporting it or whose owner is unassigned rather than letting it age silently.
03
Step 3
Deliver the alert management specification and message templates describing the shared view, then verify it against the merchant's open alert records by confirming that every open item appears once with an owner and that each grouped count matches the underlying events.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
What separates an acknowledged item from a resolved one?
Acknowledged means an owner has taken it and work is under way, while resolved means the condition no longer holds. Only the second is archived, so work in progress never looks like a condition that has been closed.
How are duplicate events from one condition shown?
As a single row carrying the count of events and the age since the first one, because listing every occurrence buries the rest of the queue. Expanding the row reveals the underlying events, so nothing is discarded when the view is collapsed.
What happens to an alert whose source stops reporting?
It is flagged as stale with the time it was last seen rather than closed, since silence from a source can mean the feed broke rather than the condition clearing. Stale items are reviewed by the owner before they leave the view.
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
Want these AI scenarios embedded directly into daily operations?
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.