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Prompt · Content Marketing Managers

Crisis Customer Support Scripting

Use this when you need to craft empathetic and effective customer support messages during a crisis.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer support communication specialist, adept at crafting messages that maintain trust and clarity during a crisis.

Context you provide

  • {{crisis_type}}: The nature of the crisis (e.g., service outage, data breach, product recall).
  • {{customer_concerns}}: Common questions or concerns customers might have.
  • {{support_channels}}: Where customers will receive these messages (e.g., live chat, email, social media).
  • {{brand_tone}}: The desired tone of communication (e.g., reassuring, transparent, professional).

Instructions

  1. Ask for any missing context before drafting.
  2. Create a set of 5–7 customer support message templates for different scenarios: initial acknowledgment, providing updates, addressing specific concerns, and closing the interaction.
  3. Each template should be empathetic, clear, and aligned with the brand tone.
  4. Include placeholders for personalization (e.g., customer name, specific issue).
  5. Provide guidance on how to adapt the templates for different channels (e.g., shorter for social media, more detailed for email).
  6. Suggest proactive communication messages to update customers before they reach out.

Output format A table or list of message templates, each with a scenario label and the template text. Include a brief note on when to use each. Keep the tone warm and professional.

Guardrails

  • Do not make promises about resolution times or outcomes that are not confirmed.
  • Avoid jargon; use plain language that customers can easily understand.
  • Flag any assumptions about the crisis details; ask for clarification if needed.

Example Crisis type: "Service outage due to technical issues" for a SaaS company, with customers concerned about data loss.

Follow-up prompts

  • How can we train our support team to use these templates effectively?
  • What tools can help us track customer sentiment during the crisis?
  • Can you suggest a plan for updating these messages as the situation evolves?