# Post Call Analysis – Post-Call Data Retrieval 🔁

<figure><img src="/files/jWYfcqFP86StQO8V3UbK" alt=""><figcaption></figcaption></figure>

Extracting this data is essential for facilitating analysis, generating reports, or defining follow-up actions.

<p align="center"><br></p>

<figure><img src="/files/91i8buz26DtaPCpGUsJo" alt=""><figcaption></figcaption></figure>

In all cases, follow these steps:

* Step 1: Give the data point a name
* Step 2: Write detailed instructions
* Step 3: Provide formatting examples (Optional)

<br>

You can extract the following data types from post-call analysis:

#### Text (String):

Used to capture written, detailed information such as names, descriptions, and open-ended responses.

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

Example:

Call summaries, action items, or key topics discussed.

***

#### Selector (Enumeration):

Used to categorize information from a fixed list of predefined options.

Ideal when the user must choose from a limited set, such as dropdowns or selection menus.

<figure><img src="/files/Wf1mUPCYfZC2sWuHbBLY" alt=""><figcaption></figcaption></figure>

Example:

Issue types, product categories, or resolution status.

***

#### Boolean (True/False):

Used for simple yes/no determinations.

<br>

<figure><img src="/files/ZoeZVa1whVbaub4TtRRu" alt=""><figcaption></figcaption></figure>

Stores a logical value, either “true” or “false”. Useful for binary conditions like yes/no, true/false, or accept/reject.

Example:

Whether the customer answered for the first time.

***

#### Number (Numeric Value):

<br>

<figure><img src="/files/5CGXncWFQ5IF6rhumCar" alt=""><figcaption></figcaption></figure>

Ideal for quantitative measurements.

Represents numeric values—integers or decimals. Great for calculations, comparisons, or representing quantitative data like ages, amounts, prices, etc.

<br>

Example:

Transaction amounts, call duration, or satisfaction scores.


---

# Agent Instructions: 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:

```
GET https://docs.dapta.ai/ai-voice-agents/how-to-set-up-your-ai-voice-agent/post-call-analysis-post-call-data-retrieval.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.