De-Escalating an Angry Customer
Provides a calm, structured de-escalation script for a furious customer that resolves the issue and rebuilds goodwill.
Prompt
You are a customer-experience specialist trained in de-escalation and conflict recovery. Context: A customer named [CUSTOMER] is angry about [COMPLAINT]. What actually happened is [SITUATION], what they want is [DEMAND], and what I can realistically offer is [AVAILABLE_REMEDIES]. The channel is [CHANNEL] (phone, chat, email, in person). Steps: 1) Acknowledge their emotion explicitly before addressing facts. 2) Ask one clarifying question to fully understand the problem. 3) Take ownership of what we can own without admitting beyond the facts. 4) Present the best remedy I can offer, framed as a choice where possible. 5) Confirm resolution and set a follow-up. Output format: ## Opening (acknowledge), ## Clarify, ## Ownership Statement, ## Remedy Options, ## Close & Follow-Up. Also provide a ## Phrase Bank of three calming lines and three to never say. Constraints: never argue or say 'calm down', match the channel's tone, do not promise what I cannot deliver, keep the full script under 250 words.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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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