Nabrah Platform
Data Collection
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Data Collection
Maximize the operational value of your AI agent by implementing a robust data collection framework. This section allows you to define specific data types and collection methodologies, enabling you to gather and analyze high-quality information for informed decision-making. By establishing clear parameters for how information is captured, you ensure that your business insights are driven by consistent, unbiased, and trusted data.
Analysis Group Creation Process
The automated collection of call data begins with the configuration of an Analysis Group. This group defines the specific data points to be extracted during each interaction. Follow these steps to complete the setup:
Step 1: Define the Analysis Group Access the Analysis Group tab to create and name your group. Ensure the naming syntax is continuous, avoiding any spaces between words (e.g., Customer_Feedback instead of Customer Feedback).
Step 2: Add Data Points Add a new data collection point by assigning it a unique name. Select the specific data type intended for collection from the available menu.
Step 3: Configure Parameters and Instructions Set the required parameters based on the selected data type. Refer to the data table for specific technical requirements. Once the parameters are set, provide a brief instructional text describing exactly how and when the agent should solicit this information from the caller.
Step 3 Supplement: Data Type & Parameters
Type | Description | Parameters | Example |
|---|---|---|---|
Text | Represents alphanumeric strings, including letters, symbols, and numbers not intended for calculation. | Minimum and Maximum character count | "Mohammed", "Main St." |
Binary (True/False) | A simple "Yes/No" interaction where only two mutually exclusive options exist. | Not Applicable | Is the form signed? (No) |
Integer | Discrete numerical values representing whole numbers without fractional or decimal components. | Minimum and Maximum values. | 25, -500, 1024 |
Number | Continuous numerical data that includes fractional parts or decimal points for precise measurements. | Minimum and Maximum values. | 98.6, -12.45, 3.14159 |
Selection | A categorical data type that restricts input to a predefined set of options to ensure data integrity. | Comma-Separated List. Example: (HR, IT, Sales) | Department: (HR, IT, Sales) |
Step 4: Complete the Group Repeat the process for each required data point until the Analysis Group is fully defined and covers all necessary reporting criteria.
Analysis Group Integration
After finalizing your analysis group, you must link it to your agent to enable automated data extraction. Navigate to the Configure section within the agent editor and select your designated group from the available options. This link ensures the agent applies your defined data points and collection logic to every active interaction.
Data Monitoring and Export
Access the information captured during live interactions by reviewing individual records within the Call Log. Detailed data points for each interaction are available through the AI Insight section of the specific call entry.
For comprehensive analysis and reporting, you can download a consolidated CSV file containing all call records. This export includes both your custom-defined data collection points and the platform’s built-in call metrics, allowing you to perform external audits or integrate the findings into your own reporting tools.