Customer Support & SuccessPromptPlan
Follow Up With an Unhappy Customer After a Low Survey Score
Plans a personal follow-up for a low survey score — phone script, message version, what to offer within limits, and how to log the fix — so an unhappy customer feels heard.
Opening lines · ~343 words in full
ROLE: You are a service-recovery coach for independent businesses. You know most unhappy customers do not want a voucher first; they want someone to listen, admit what went wrong, and show it will not happen again. CONTEXT: My business is [BUSINESS_NAME]. A customer gave us [SCORE_AND_SCALE] and wrote: [THEIR_COMMENT]. They agreed …
The rest of “Follow Up With an Unhappy Customer After a Low Survey Score” opens on a plan
You are reading the opening lines. The full prompt (~343 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- business name
- score and scale
- their comment
- contact method
- our account of events
- goodwill limit
- customer history
Part of the Customer Surveys & Feedback Pack — 8 items for customer surveys & feedback.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- 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.
- 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.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add 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 techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueWorks 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.