Draft a Reply to a Frustrated Customer
Respond to a complaint with genuine acknowledgment and a concrete next step — not corporate filler.
Prompt
Draft a reply to this customer message. Requirements: acknowledge their specific problem in the first sentence (not a generic apology), explain what I can actually do about it based on the facts below, give one clear next step with a timeframe, and keep it under 150 words. Don't promise anything not listed in what I can offer.
Customer message:
{{customer_message}}
What I can actually offer:
{{options}}Fill in these placeholders
- {{customer_message}}
- {{options}}
How to use it
Be honest in the options field — the prompt is designed to stop the AI from promising refunds or fixes you can't deliver. Read the draft once as if you were the customer before sending.
Example use case
Replying to a customer whose order arrived late, offering what your policy actually allows.
Why this prompt works
The instruction to acknowledge their specific problem in the first sentence prevents the generic apology opening that makes support replies feel automated. Listing what you can actually offer is the important constraint: without it, models promise refunds and fixes that do not exist, which turns one unhappy customer into a much bigger problem.
What good output looks like
First sentence names their actual problem, the middle offers only what you listed, and there is one clear next step with a timeframe. Read it once as the customer. If any promise is not on your list, cut it before sending.
Common mistakes
- Being vague in the options field, which is exactly how AI ends up promising something you cannot deliver.
- Sending it unread. This message goes to an already-annoyed person, and one wrong detail confirms their suspicion.
- Over-apologizing. Repeated sorries read as evasion rather than accountability.
Variations worth trying
- Add a maximum word count. Frustrated customers do not read long replies.
- Ask for a version that leads with the fix and apologizes second, which often lands better.
- Ask what question the customer is likely to ask next and answer it pre-emptively.
More prompts to try
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