Automate WhatsApp tests and rank results with PostgreSQL (Module "Quiz")
Who is this for?
This workflow is designed for educators, HR teams, or anyone who needs to create and distribute quizzes or tests via WhatsApp and automatically store and analyze responses in a PostgreSQL database.
What problem is this workflow solving?
Managing tests or quizzes manually across platforms can be time-consuming and error-prone. This workflow automates the entire process — from test creation to distribution and result collection — providing an efficient way to manage assessments at scale.
What this workflow does
- Adds test content (including questions and answers) to a PostgreSQL database.
- Allows users to take the test directly via WhatsApp.
- Displays a final ranking to test takers upon completion.
Setup
1. Create tables in PostgreSQL
- Open the SQL script provided in the workflow.
- Replace
n8nwith your actual database schema name. - Run the script to set up the required tables.
2. Add required credentials
- WhatsApp: Set up OAuth and connect your WhatsApp account.
- PostgreSQL: Add your Postgres DB credentials to n8n.
How to customize this workflow to your needs
- Update the test questions and answers directly in the database.
- Modify the bot flow to suit your test structure or messaging preferences.
- Extend the ranking logic based on specific grading criteria or scoring rules.
n8n WhatsApp Quiz Automation with PostgreSQL Ranking
This n8n workflow automates a WhatsApp-based quiz, processes user responses, stores them in a PostgreSQL database, and provides ranking functionality. It allows for interactive quizzes directly within WhatsApp, making it easy to engage users and track their performance.
What it does
This workflow streamlines the following processes:
- Listens for WhatsApp Messages: It acts as a webhook, waiting for incoming messages from WhatsApp.
- Parses Incoming Messages: It extracts the message content from the WhatsApp trigger.
- Routes Based on Message Content: It uses a Switch node to determine the type of message received (e.g., a quiz answer, a request for rank).
- Processes Quiz Answers: If the message is a quiz answer, it extracts the relevant information.
- Stores Data in PostgreSQL: It inserts or updates user quiz results in a PostgreSQL database.
- Calculates and Ranks Results: It retrieves data from PostgreSQL, summarizes, and sorts it to generate a ranking.
- Sends WhatsApp Responses: It sends tailored responses back to the user via WhatsApp, such as confirmation of an answer or their current rank.
- Handles Unknown Commands: For messages that don't match predefined quiz or ranking commands, it provides a default response.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- WhatsApp Business Cloud API: Access to the WhatsApp Business Cloud API and a configured WhatsApp Business Account. You will need to set up a WhatsApp Business Cloud credential in n8n.
- PostgreSQL Database: A PostgreSQL database instance where quiz results and user data will be stored. You will need to configure a PostgreSQL credential in n8n.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, click on "Workflows" in the left sidebar.
- Click "New" -> "Import from JSON" and upload the downloaded JSON file.
- Configure Credentials:
- WhatsApp Business Cloud: Locate the "WhatsApp Trigger" and "WhatsApp Business Cloud" nodes. Click on the "Credential" field and either select an existing WhatsApp Business Cloud credential or create a new one. Follow the n8n documentation for setting up WhatsApp Business Cloud API credentials.
- PostgreSQL: Locate the "Postgres" nodes. Click on the "Credential" field and either select an existing PostgreSQL credential or create a new one. Provide your database host, port, database name, user, and password.
- Customize Database Schema (if necessary):
- Ensure your PostgreSQL database has a table structure suitable for storing quiz answers and user information. The workflow expects certain columns for processing. You might need to adjust the SQL queries in the "Postgres" nodes to match your specific table and column names.
- Activate the Workflow:
- Once all credentials are set and configurations are reviewed, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.
- Test the Workflow:
- Send a message to your configured WhatsApp Business number to trigger the workflow and test its functionality.
This workflow provides a robust foundation for building interactive WhatsApp quizzes with real-time ranking. Feel free to modify and extend it to fit your specific quiz logic and data storage needs.
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