

Where learned answers come from
BubblaV watches three kinds of conversations for new knowledge:Human agent answers
When a live-support chat is resolved, your agent’s reply becomes a suggested Q&A — exactly the answer a real customer needed.
Bot self-corrections
Chats where the bot stumbled (low confidence or fallback replies) but recovered by the end become improvement candidates.
Thumbs-down threads
When a visitor rates an answer down, the thread is mined for what should have been said — by your agent, or by the bot itself.
Reviewing suggested answers
Learned entries land in Knowledge → Q&A with a Suggested badge and a “Learned from conversation” note:- Edit the question or answer first — useful for tightening an agent’s phrasing.
- Approve & publish to make it live. The answer flows through the standard Q&A pipeline, so it’s immediately retrievable by your bot.
- Discard to delete a draft. Nothing goes live unless you approve it.
Publishing a learned answer counts toward your knowledge page limit, exactly like a manually added Q&A entry.
Auto-apply (optional)
By default every learned entry waits for your review. On the Pro plan you can enable Auto-apply learned answers in Settings → General:- Only strong-evidence candidates are auto-published — typically answers written by a human agent on a resolved chat.
- Weak-evidence drafts (bot self-corrections, unanswered thumbs-down) still wait in the review queue.
- The toggle is off by default, and auto-published entries still respect your knowledge page limit.
Plan availability
- Review queue (drafts + approve/discard): Pro and higher.
- Auto-apply: Pro and higher, off by default.
Next Steps
Q&A
Manage suggested and manually added question/answer pairs.
Content Gaps
See what questions customers are asking that you haven’t answered yet.
