Prompt

Customer SupportPromptFree

Angry Customer Reply — De-escalate

Acknowledge, explain, propose, follow up. Don't roll over.

  • Role-Based
  • Constraints
  • Output-Format
Download .mdOpen in Studio~202 words
**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 it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine 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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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies 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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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.