📊Post-Conversation Analysis

Automatically extract structured data from every conversation and send results to external systems via webhook when a conversation ends.

The Conversation analysis tab lets you define what information to extract from conversations after they close, and optionally forward those results to an external webhook.

The page has two sections:

• Post-Conversation Analysis — define the variables the AI will extract from each conversation

• Conversation Analysis Flow — configure a webhook URL to receive results automatically

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How it works

The analysis runs automatically in two situations:

• When the agent calls the Close Conversation action to end the interaction

• When a conversation times out after 24 hours of inactivity

Once triggered, the AI reviews the conversation and extracts the values of any variables you have defined, then saves the results. If a webhook URL is configured, it sends the full payload to your endpoint immediately after.

No manual action is required.

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Post-Conversation Analysis

Adding a variable

Click + Add Variable to open the variable configuration modal.

Fill in the following fields:

Field	Description
Type	The data type for this variable (see types below)
Name	A unique identifier used in the analysis output (e.g. customer_email)
Instruction	A prompt telling the AI how to extract this value from the conversation
Scope	Persistent — carries across multiple sessions. Session — extracted fresh each conversation
Required	Whether this variable must be present in the analysis

Click Confirm to save the variable.

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Variable types

Type	Use for
Text	Names, descriptions, open-ended answers
Selector	A value chosen from a fixed set of options
Boolean	Yes/No or true/false values
Number	Quantities, scores, or numeric values
Date	Calendar dates
DateTime	Date and time combined
Email	Email addresses
Phone	Phone numbers
URL	Web addresses
JSON	Structured data objects

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Writing good instructions

The Instruction field is a prompt that tells the AI exactly what to look for. Be specific:

"Extract the email address the user provided during the conversation. If none was given, return null."

"Identify the product or service the user expressed interest in. Return only the product name."

"Determine if the user confirmed an appointment. Return true if confirmed, false otherwise."

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Editing and deleting variables

Click any variable in the list to open the editor modal and modify its settings. To remove it, open the variable and click Delete.

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Conversation Analysis Flow

Enter an HTTPS webhook URL in the Webhook URL field to have analysis results sent automatically when each conversation closes.

The URL must begin with https://. If left empty, results are saved but not forwarded anywhere.

The webhook sends a POST request with a 10-second timeout. If the request fails, the analysis is still saved — the failure does not affect conversation data.

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Webhook payload

{
  "id": "analysis-uuid",
  "conversation_id": "conversation-uuid",
  "session_index": 1,
  "success": true,
  "success_score": 87.5,
  "success_reason": "The user confirmed the appointment and provided contact details.",
  "variable_snapshots": {
    "customer_email": "[e-mail]",
    "product_interested": "Premium Plan",
    "appointment_confirmed": true
  },
  "created_at": "2026-02-25T10:30:00Z"
}

Field	Description
id	Unique identifier for this analysis record
conversation_id	The conversation this analysis belongs to
session_index	Session number, incremented automatically per conversation
success	Whether the conversation met its goal (evaluated automatically)
success_score	Confidence score from 0 to 100
success_reason	Explanation of the evaluation
variable_snapshots	Key-value map of variable names to their extracted values
created_at	Timestamp of when the analysis was created

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Saving your configuration

Click Save Agent (top right) after making any changes to variables or webhook URL. Changes take effect on the next conversation that closes after saving.