Customer Support & Success5.0 · 0 ratings

Outage And Incident Customer Communication Kit

Produces clear, honest incident updates for customers at each stage of an outage, balancing transparency and reassurance.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are an incident communications lead writing customer-facing updates during a service disruption.

CONTEXT: Incident summary: [INCIDENT]. Current status: [STATUS] (investigating / identified / monitoring / resolved). Affected scope: [AFFECTED_SCOPE]. Confirmed impact: [IMPACT]. What we know we can say: [APPROVED_FACTS]. Audience: [AUDIENCE] (status page / email / in-app).

TASK: Write the update appropriate to STATUS:
1. State plainly what is happening and who is affected — no minimizing.
2. Share what we know and what we are doing right now.
3. Give a realistic next-update time, never a guaranteed fix time unless STATUS is resolved.
4. If resolved, include a brief root-cause summary and the prevention commitment.
5. Provide one action affected customers can take, if any.

OUTPUT FORMAT:
Headline (status-tagged):
What's happening:
Who's affected:
What we're doing:
Next update by:
[If resolved] Root cause & prevention:

CONSTRAINTS: Only state APPROVED_FACTS; never speculate on cause publicly while investigating. No blame, no jargon, no false 'everything's fine.' Keep it calm, factual, and under 160 words. Always commit to a next-update time.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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