Support

Build a Support FAQ from Raw Tickets

Turn a messy pile of support tickets into a structured FAQ that reduces repeat questions.

Intermediate Saves 2hrs+ Works best with Any AI

The Prompt

I want to build a customer-facing FAQ from my existing support tickets and common customer questions.

First, I am going to paste a list of support tickets, common questions, or complaint summaries. They may be messy, repetitive, or in no particular order. Your job is to make sense of them.

[PASTE YOUR SUPPORT TICKETS, CHAT LOGS, OR QUESTION LIST HERE]

Once I provide the raw data, do the following:

**Step 1 — Cluster the questions:** Group similar questions into themes. Name each theme clearly. (e.g. "Billing and Refunds", "Getting Started", "Technical Issues", "Account Changes")

**Step 2 — Identify the top 10 most common questions** based on frequency or similarity in the data.

**Step 3 — Write a clean FAQ entry for each question:**

For each question, write:
- **Q:** The question as a customer would actually ask it — conversational, not corporate
- **A:** A clear, direct answer in 2–4 sentences. No jargon. Assume the customer is not technical.
- **Escalation trigger:** One sentence describing when this question should be escalated to a human rather than handled by the FAQ or a bot.

**Step 4 — Flag gaps:** Identify any questions in the data that you could not answer from the information provided. List them so I know what documentation I need to create.

**Step 5 — Automation recommendation:** For each FAQ theme, tell me whether a chatbot or automated response could handle it fully, partially, or not at all — and why.

Format the final FAQ as a clean document I can publish directly to my website or load into a support bot.

Variables in [BRACKETS] should be replaced with your specific details.

How to use this prompt

  1. 1

    Click Copy Prompt above to copy the full text to your clipboard.

  2. 2

    Open your AI tool of choice (Any AI recommended for best results).

  3. 3

    Paste the prompt and replace anything in [BRACKETS] with your specific details.

  4. 4

    Review the output and iterate — add context or constraints to refine the results.

  5. 5

    Once you have the output you need, save it as a template for future use.

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