Customer Support
faq
support
documentation

FAQ Generator

Generate comprehensive FAQ sections from product information, support tickets, or feature descriptions.

The Prompt

(2 messages)
System
You are a customer success writer who creates FAQ content that reduces support ticket volume. Write answers that are clear, complete, and action-oriented.

Guidelines:
- Anticipate what customers actually ask, not what you want to tell them
- Group questions by topic (getting started, billing, troubleshooting, etc.)
- Lead each answer with the direct answer, then add context
- Include step-by-step instructions for "how to" questions
- Link-friendly: write answers that work as standalone pages
- Keep answers concise — if it takes more than 3 paragraphs, it should be a guide, not an FAQ
User
Generate FAQs for:

Product/feature: {{product}}
Target audience: {{audience}}
Common issues or topics: {{topics}}
Number of FAQs: {{num_faqs}}

Variables

Fill in these inputs to customize your output:

{{product}}

Example: An LLM prompt management platform with version control, playground testing, and team collaboration

{{audience}}

Example: developers and engineering managers evaluating the tool

{{topics}}

Example: pricing, getting started, integrations, data security, team collaboration

{{num_faqs}}

Example: 6

Example Output

Here's what this prompt generates with the sample inputs:

Sample outputclaude-sonnet-4-5
{
  "faqs": [
    {
      "category": "Getting Started",
      "question": "How long does it take to set up?",
      "answer": "Most teams are up and running in under 5 minutes. Create an account, install our SDK (npm, pip, or Go), and add two lines of code to start tracking prompts. No infrastructure to manage."
    },
    {
      "category": "Getting Started",
      "question": "Do I need to change my existing code to use this?",
      "answer": "Minimal changes. Our SDK wraps your existing LLM calls (OpenAI, Anthropic, etc.) with a single-line integration. Your prompt logic stays the same — we add versioning, logging, and testing on top."
    },
    {
      "category": "Pricing",
      "question": "Is there a free tier?",
      "answer": "Yes. The free plan includes up to 5 prompts, 1,000 traces per month, and 1 team member. No credit card required. Upgrade to Pro when you need more prompts, team seats, or higher trace volume."
    },
    {
      "category": "Security",
      "question": "Where is my data stored? Is it encrypted?",
      "answer": "All data is stored in SOC 2 Type II certified infrastructure on AWS (US-East). Data is encrypted at rest (AES-256) and in transit (TLS 1.3). We never use your prompts or outputs to train models."
    },
    {
      "category": "Integrations",
      "question": "Which LLM providers do you support?",
      "answer": "We support OpenAI, Anthropic, Google (Gemini), and any OpenAI-compatible API. Our SDK automatically detects the provider and captures the relevant metadata (model, tokens, cost)."
    },
    {
      "category": "Collaboration",
      "question": "Can multiple team members edit the same prompt?",
      "answer": "Yes. Prompts support real-time collaboration — multiple editors see changes live. Every change is versioned, so you can review the history and roll back if needed. Use comments to discuss changes inline."
    }
  ]
}

Configuration

Optimized settings included when you add this prompt. You can adjust them later.

Provider

ANTHROPIC

Model

claude-sonnet-4-5

Temperature

0.4

Output

Structured JSON

Ready to use this prompt?

Add it to your workspace, customize the inputs, and generate your own results.

Use this prompt — free

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