Automated WhatsApp Questionnaire Collection and Storage in Postgres

Overview

This workflow streamlines the collection of questionnaire responses from WhatsApp users and securely stores the data in a Postgres database module named Anketa. It leverages n8n's automation capabilities to manage user interactions, process responses, and update statuses efficiently.

Key Features

• WhatsApp Integration: Initiates conversations and receives responses via WhatsApp triggers.
• Dynamic Flow Control: Uses switches and set nodes to guide users through different questionnaire paths based on their inputs.
• Database Automation: Automatically updates and stores user responses and bot statuses in Postgres for reliable data management.
• Status Tracking: Monitors and updates the progress of each respondent throughout the questionnaire process.

Benefits

• Time Savings: Eliminates manual data entry and response tracking, reducing administrative workload.
• Data Accuracy: Ensures consistent and error-free data collection directly from user interactions.
• Scalability: Handles multiple simultaneous respondents without additional overhead.

Use Cases

• Customer feedback collection
• Employee surveys
• Lead qualification via WhatsApp
• Automated onboarding questionnaires

Integrations

• WhatsApp for communication
• Postgres for data storage and management

This workflow delivers a robust, automated solution for organizations seeking to streamline data collection and improve response management via WhatsApp.