> For the complete documentation index, see [llms.txt](https://docs.maiagent.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.maiagent.ai/~/revisions/VPtD4w6TGRsqMHNQKDN0/track/quality.md).

# 回覆品質控管

{% hint style="info" %}
[甚麼是回覆品質控管？如何調教？](/tech/ai-agents/evaluation.md)
{% endhint %}

## 如何查看

進入左側功能選單中 <mark style="color:blue;">「AI 功能 > AI 助理</mark> <mark style="color:blue;">> 回覆品質控管」</mark>，即可查看 AI 助理近期處理的對話紀錄與回應內容，協助您掌握助理的實際表現與使用情形。

若您需進一步分析或彙整資料，也可點選右上角的 <mark style="color:blue;">藍色「匯出」按鈕</mark>，系統將自動將相關對話資料匯出成 Excel 檔案，方便後續整理與運用。

<figure><img src="/files/XStS2kR6O87Sk8ZFGmMG" alt=""><figcaption></figcaption></figure>

## 應用場景

### **客服品質稽核**

分析助理是否提供正確、清楚的回應，協助持續優化回覆內容。

### **教育訓練素材**

萃取常見提問與高品質回覆，作為內部訓練教材使用。

### **回覆策略調整**

根據使用者實際問題與互動行為，調整知識庫內容或角色設定。

### **成效評估與報表製作**

支援管理層製作月報或週報，評估 AI 助理使用成效與覆蓋範圍。

{% hint style="warning" %}
您可針對下列相關內容釐清原因：

* 資料提供是否充足
* RAG 是否有找到資料
* LLM 無法根據參考資料回答問題
  {% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.maiagent.ai/~/revisions/VPtD4w6TGRsqMHNQKDN0/track/quality.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.