A feedback loop is a repeatable way to learn from what happens after information is used. It records useful evidence about failures and successes, makes a considered change and checks whether that change helped.
Useful feedback is specific. “The search is bad” is difficult to act on. A recorded question, the returned passage, the expected source and the reason it was unsuitable give an editor or developer something concrete to investigate. Avoid collecting unnecessary personal information in the feedback itself.
A small-business example
Staff repeatedly search an internal guide for “credit customer”. The relevant procedure is titled “Account applications”, so they miss it and ask a colleague instead.
The editor adds the everyday wording to the note, clarifies its summary and links it from the customer setup guide. They rerun the original search and check the next few related questions. The fix addresses an observed vocabulary gap; it does not require rewriting the entire collection or changing every search setting.
Try this
Keep a small review list for one week: question asked, result found, what was missing and the proposed correction. Group recurring problems before choosing a change. After the change, repeat the original task and record whether it now works. Close an item only when the result has been checked.
Retrieval supplies search examples, Human review captures interpretation errors and Version history records the change that followed.