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How to Get Customer Feedback on Your Website Chatbot

Reading transcripts tells you a lot about how your chatbot is performing, but asking visitors directly catches things you might read differently than they actually experienced — your interpretation of a conversation as 'fine' and a visitor's experience of it as 'fine' aren't always the same thing.

A simple end-of-conversation prompt

A lightweight 'was this helpful?' after a conversation wraps up gets you a usable signal without adding friction — keep it to one tap or click, not a full survey with multiple questions that most visitors will simply ignore or close out of.

Even a low response rate on a simple thumbs-up/thumbs-down prompt is useful directionally over time — you're not looking for statistical rigor, just a rough signal you can track month over month alongside your transcript reviews.

Watch for feedback given in the chat itself

Visitors often say things like 'that's not what I meant' or 'this isn't helping' directly in the conversation — these are free-form feedback if you're reading transcripts, even without a formal rating system in place. This kind of unprompted, in-context feedback is often more specific and useful than a generic satisfaction score, because it tells you exactly what went wrong.

Make a habit of specifically flagging these moments when you're doing your regular transcript review, since they're a concentrated source of the most actionable feedback available to you.

Don't over-ask

A rating prompt on every single conversation gets ignored fast, the same way any survey fatigue sets in when asked too frequently. Reserve it for conversations that ran a few exchanges, where the visitor is more invested in the outcome and more likely to give a real, considered answer rather than dismissing the prompt reflexively.

Combine both sources for the full picture

Neither source alone tells the whole story — explicit ratings miss the nuance of what actually went wrong, while transcript review alone misses the visitor's own sense of whether they were satisfied. Together, they give a more complete picture than either would on its own, and neither requires much additional setup once you have transcript access.

Combine feedback with transcript review for the full picture.

See conversation docs