# Monitor your agent and choose the next improvement

URL: https://aihio.ai/en/help/ai-agent/analytics\
Description: Interpret analytics periods, coverage and response quality, then turn a finding into a verified knowledge-base correction.

Analytics helps you find questions where your AI agent needs better information. Use metrics to select a correction and review what happened in the conversation yourself. A high confidence score or meeting a target does not prove an answer is correct.

## Before you start

Check advanced analytics availability in the tier table below and in your workspace. Select the correct workspace and agent and open **Analytics**. You need permission to view the agent's data. Usage and message credits are a separate task: see [usage and limits](/en/help/billing/usage).

## Choose a view for your question

| View             | What does it help you understand?                           | Next action                                            |
| ---------------- | ----------------------------------------------------------- | ------------------------------------------------------ |
| Overview         | How are conversation volume and key metrics developing?     | Check the period and open the area needing attention.  |
| Resolution       | How do conversations end, and how often are they escalated? | Read a sample conversation before drawing conclusions. |
| Coverage         | Which questions lack a knowledge-based answer?              | Add or correct a source for that topic.                |
| Response quality | Which answers received a low confidence score?              | Compare the answer with an up-to-date source.          |

The **Coverage period** may be selected automatically based on traffic volume. Check the displayed period: it may differ from the Resolution view's period. Compare results only when you know which time range and conversations they describe.

> **Note — Preview and customer conversations are separate data:**
>
> Editor test conversations appear under **Playground** and do not represent
> actual customer traffic. Check the selected view before interpreting volumes
> or comparing results.

## Turn a finding into an improvement

1. **Choose a recurring problem**

   Open **Coverage** or **Response quality**. Find an unanswered or
   low-confidence question relevant to the agent's task. Read the original
   conversation when needed.
2. **Write a verified answer**

   Select **Create answer** for the question. Review the prefilled question and
   write an answer based on current information. Do not copy customers'
   personal data into the knowledge base. Save the answer to the knowledge
   base.
3. **Publish the information and test**

   Open **Data sources** and select **Update Knowledge Base**. Wait for a
   successful update, then try the question in a new test conversation. Also
   check a previously successful question on the same topic.

A correction saved to the knowledge base starts as a draft. It does not change messages already sent or make earlier analytics proof of a successful answer.

## Example review process

If delivery-time questions go unanswered, read a few sample conversations and check your delivery terms. Correct the missing information in the source, publish the knowledge base and repeat your test questions. Later, review new conversations on the same topic over a comparable period. This is an example workflow, not a promise that a metric will improve.

## If results are missing

- Check the agent, selected view and period. A new agent may not have data yet.
- An empty result or dash does not indicate an error-free service; the data needed for the metric may be missing.
- If a confidence score disagrees with your review, correct the actual error in sources or instructions.
- If a correction does not affect the test, check the knowledge update and conflicting sources on the same topic.

Agree on a regular team review: one finding, one focused correction and a repeatable test. See also [conversation review](/en/help/ai-agent/conversations).

## Feature availability

Also check availability and any applicable add-on in your workspace. This table gives minimum tiers for these features; it is not a workspace usage limit or a list of every integration.

| Feature            | Minimum tier |
| ------------------ | ------------ |
| Advanced analytics | Pro          |
## Next steps

- [Review conversations and improve responses](/en/help/ai-agent/conversations) — Find where your agent helped and where an answer needs correction, then verify the change with a new test.
- [Test your agent before launch](/en/help/ai-agent/testing) — Check answer quality, boundaries and the chat widget before making your agent available to customers.