Use Cases

Check an AI FAQ Against a Support Policy

Review a fictional customer support FAQ for a superseded return window, a missing exception, and an unsupported refund promise.

Audience and review notes

For: People reviewing AI-drafted help content against approved support policies.

Check facts against original sources and remove sensitive information. Review AI output before relying on it.

Check What The FAQ Promises

A clear support answer can still quote an outdated rule or promise an outcome the support team has not approved. In this exercise, compare three draft answers with the current policy for a fictional stationery store.

Get The Pack

Give the AI only the test input. Keep the review key and worksheet separate so you can check the first answer before asking for revisions.

Download test input (.txt)

Download review key (.txt)

Download comparison worksheet (.txt)

Compare Three Answers

CaseWhat to checkWhat a corrected answer should do
FAQ-01Which policy version applies?Use the current return window and count from delivery.
FAQ-02Does a general rule have an exception?Preserve the separate review path for damaged custom items.
FAQ-03Is a remedy guaranteed or decided after review?Tell the customer what to submit without promising a refund.

Different phrasing is fine. The answer should preserve the rule, its exceptions, and who decides the outcome.

Retest With The Same Policy

Use the same sources and questions for each run. Record whether the answer identifies the current rule, preserves the exception, and avoids inventing a promise. For real help content, confirm the version with the policy owner and use fictional order details during testing.

Return to the support FAQ practice pack or choose your next check.

For a related check on claims made from customer feedback, try the survey summary practice.

From reading to a decision

Keep the workflow connected

Choose a task-first path, save candidates locally, compare the shortlist, and recheck official details before use.