> ## Documentation Index
> Fetch the complete documentation index at: https://docs.verloop.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Defining Insight Parameters

> Configure the specific data points you want your Voice Agent to extract.

## Setting Up Insight

To start capturing insights, you need to define "Parameters" in your Recipe Settings. Each parameter acts as a specific instruction to the AI on what information to look for in the conversation.

## Configuration Steps

<Steps>
  <Step title="Navigate to Insight">
    Open your Recipe and click on the **Global Settings** and navigate to **Post-Call Insights** tab.
  </Step>

  <Step title="Add New Parameter">
    Click **Add Insight**. You can define up to **10 unique insights** per agent.
  </Step>

  <Step title="Define Variable Details">
    * **Name:** The system name for the variable (e.g., `loan_interest_level`). This is used in API/Webhooks.
    * **Description:** The "Prompt" for the AI. Be descriptive! (e.g., *"Did the user express interest in a Gold Loan? Check for phrases like 'I want money' or 'Loan chahiye'."*)
    * **Type:** Select the data format (see below).
  </Step>
</Steps>

## Data Types

Choosing the right data type ensures your **Voice AI Agents** return clean, usable data for your integrations.

| Type        | Description                                | Best Use Case                                               |
| :---------- | :----------------------------------------- | :---------------------------------------------------------- |
| **Text**    | Extracts a string of text (max 300 chars). | "Summarize the customer's complaint about the credit card." |
| **Boolean** | Returns `true` or `false`.                 | "Did the customer ask for a manager?"                       |
| **Number**  | Extracts a numeric value.                  | "What is the customer's age?" or "Loan amount requested?"   |
| **Date**    | Extracts dates in a standard format.       | "When does the user want the callback?"                     |
| **Enum**    | Selects from a predefined list of options. | Lead Status: `["Qualified", "Not Interested", "Callback"]`  |

<Note>
  **Pro Tip for Indian Languages:** When writing descriptions for **Hinglish** agents, you can include Hindi keywords in the description to help the AI understand context (e.g., *"Check if user said 'Haan' or 'Yes' for confirmation"*).
</Note>