How do I review and improve AI conversations?
Short answer
Read a sample of transcripts every week, focused on the ones that escalated, ended without a booking, or ran unusually long. Fix the wrong answer at the source, add the missing question, and track booking rate over time so improvement is measurable.
Before you start
- Agents running with transcripts saved.
- A weekly slot to review them.
- Access to the agent knowledge content.
- Agreement on what a good conversation looks like.
Step by step
- 1
Sample the interesting ones
Escalations, no-booking endings, and unusually long threads teach more than the smooth ones.
Reading random transcripts mostly confirms what already works.
- 2
Judge against a short rubric
Was it accurate, did it move toward a booking, did it escalate at the right moment, did it sound like us.
A rubric keeps the review from becoming vibes.
- 3
Fix at the source
Update the knowledge content or the limits, not just the one conversation.
One-off corrections do not prevent the next occurrence.
- 4
Add the questions you missed
Anything asked twice that the agent fumbled goes into the knowledge base with your answer.
Your customers are writing the training set for you.
- 5
Track the numbers that matter
Booking rate, escalation rate, response time, and conversations handled end to end.
Without metrics, tuning is just opinion.
- 6
Keep a change log
Note what you changed and when so you can connect edits to results.
When quality shifts, you want to know what moved.
What good looks like
- Wrong answers get fixed permanently.
- The agent covers more real questions each month.
- Quality is measured, not assumed.
- Changes can be traced to outcomes.
Common mistakes
The ways this goes wrong in automation, and what to do instead.
Set and forget›
A launch-day agent quietly gives outdated answers for a year.
Do this instead: Book a recurring weekly review with an owner.
Patching single conversations›
The same mistake reappears the next day with a different customer.
Do this instead: Update the underlying knowledge and limits, not just the thread.
No quality metrics›
Nobody can say whether the agent is getting better or worse.
Do this instead: Track booking rate, escalation rate, and response time weekly.
Frequently asked
5 questions about review and improve ai conversationsRelated guides
Pick the next thing to set up, or back up a step if something here assumed work you have not done yet.
Do this next
The natural follow-on tasks once this one is working.
More in Automation
Nearby tasks that share the same setup and vocabulary.
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