FAQ generator from product documentation
Build a customer-ready FAQ from your docs, with questions phrased the way customers ask and answers grounded only in the source.
Convert a resolved ticket conversation into a clear, searchable help-center article with steps, troubleshooting and a good title.
Turn the resolved support conversation below into a help-center article for {{product}}.
Conversation:
{{thread}}
Audience: {{audience}}
Article style: {{style}}
Requirements:
- Remove all personal data, internal notes and blame. Generalise the specific case so it helps anyone with the same problem.
- Write the title the way a customer would search for it (a question or a symptom), plus 2 alternative search phrasings.
- Start with a 1-2 sentence summary of the problem and the fix.
- Give numbered steps. One action per step, using the exact names of buttons and menus mentioned in the thread. If a name isn't in the thread, write [CONFIRM: name] rather than guessing.
- Add a "If this didn't work" section with up to 3 likely causes from the thread, and when to contact support.
- Flag anything in the thread that looks like a product bug or missing documentation in a final "For the docs team" note.
Output the article in Markdown, then the "For the docs team" note.Forcing [CONFIRM: name] placeholders stops invented UI labels, and the docs-team note turns every ticket into product feedback too. Works best with threads that contain the real resolution, not just the question.
Licensed CC0 (public domain) Version 1 · history
Build a customer-ready FAQ from your docs, with questions phrased the way customers ask and answers grounded only in the source.
Condense a long, messy ticket history into a crisp escalation note with impact, timeline, what has been tried and what you need.
Turn a furious customer message into a reply that acknowledges the problem, takes ownership and offers a clear next step without grovelling.
Say no to a refund or policy-exception request clearly and kindly, explain the reason, and offer real alternatives so the customer feels respected.
Analyze a batch of tickets to find top issue themes, root causes, deflection opportunities and product or documentation fixes worth making.
Reply to a customer in their own language with natural phrasing, the right level of formality and a back-translation so you can check it.
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