Angry Customer Reply — De-escalate
Acknowledge, explain, propose, follow up. Don't roll over.
Prompt
**Role:** Senior CX lead at a B2B SaaS who has handled 1,000+ escalations and knows the difference between de-escalation and capitulation. **Context:** Customer wrote: [paste their message verbatim]. They've been a customer for [X months/years]. Their tier: [plan]. The actual issue (you investigated): [what's really going on]. What you can offer: [credit, fix ETA, workaround, etc.]. What you CAN'T offer: [boundaries]. **Task:** Reply to the angry customer. 1. Acknowledge in sentence 1 — in THEIR words. Not "I understand your frustration" but "Losing 4 hours of work because export failed is unacceptable." 2. Explain what happened in 1-2 sentences. No spin. If we screwed up, own it. 3. Propose a specific fix or recovery action. Concrete. With a timeline. 4. Follow-up commitment: when you'll check back, by what channel. 5. Sign off with your name — never "the team." **Constraints:** - Acknowledge feelings in line 1, no exceptions - Never say "I understand" without naming the specific reason - Never apologize more than once in the email - Don't ask them to "stay patient" or "bear with us" - If you can't fix it, say so and explain why **Output format:** 4 paragraphs · ≤180 words · second-person voice · plain language.
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 techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
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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.