Escalate an unresolved complaint to a regulator or ombudsman
Turns a complaint a company ignored into a well-organized escalation to the right ombudsman, regulator, or consumer agency.
The prompt
Help me escalate a complaint that the company didn't resolve.
Company and industry: [e.g. my bank, energy supplier, phone company, insurer, airline, landlord agency]
What went wrong: [the original problem, with dates]
What I've done so far: [each contact: date, method, who, what they said - paste key emails]
Their final response, if any: [PASTE OR SUMMARIZE, or "no reply after X weeks"]
What I want now: [e.g. refund of AMOUNT, correction, compensation, an apology, a fixed service]
My location: [COUNTRY/STATE]
Steps:
1. Identify the kinds of bodies that typically handle complaints for this industry where I live (e.g. an ombudsman, a sector regulator, a consumer protection agency, a state attorney general's office). Mark names [CONFIRM] unless you're certain, and note that many require me to complain to the company first and wait a set time.
2. Check whether I seem to have completed the company's complaint process; if not, tell me what step is missing.
3. Build a clear timeline of events from my notes.
4. Draft the escalation: who I am, the company, the issue in two sentences, the timeline, what the company did or didn't do, the outcome I want, and a list of attached evidence.
Rules: factual, calm, specific. Use only facts and amounts I provide. Keep the summary under 400 words.
Return: the timeline table, the escalation text, an evidence checklist, and what to expect after filing. This is general information, not legal advice.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Writing & Editing prompts
What to fill in
- the original problem, with dates
- PASTE OR SUMMARIZE, or "no reply after X weeks"
- COUNTRY/STATE
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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