Build a support ticket analytics dashboard with ScrapeGraphAI, Google Sheets & Slack alerts

Customer Support Analysis Dashboard with AI and Automated Insights 🎯 Target Audience - Customer support managers and team leads - Customer success teams monitoring satisfaction - Product managers analyzing user feedback - Business analysts measuring support metrics - Operations managers optimizing support processes - Quality assurance teams monitoring support quality - Customer experience (CX) professionals 🚀 Problem Statement Manual analysis of customer support tickets and feedback is time-consuming and often misses critical patterns or emerging issues. This template solves the challenge of automatically collecting, analyzing, and visualizing customer support data to identify trends, improve response times, and enhance overall customer satisfaction. 🔧 How it Works This workflow automatically monitors customer support channels using AI-powered analysis, processes tickets and feedback, and provides actionable insights for improving customer support operations. Key Components 1. Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring 2. AI-Powered Ticket Analysis - Uses advanced NLP to categorize, prioritize, and analyze support tickets 3. Multi-Channel Integration - Monitors email, chat, help desk systems, and social media 4. Automated Insights - Generates reports on trends, response times, and satisfaction scores 5. Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the ticket was processed | "2024-01-15T10:30:00Z" | | ticketid | String | Unique ticket identifier | "SUP-2024-001234" | | customeremail | String | Customer contact information | "[email protected]" | | subject | String | Ticket subject line | "Login issues with new app" | | description | String | Full ticket description | "I can't log into the mobile app..." | | category | String | AI-categorized ticket type | "Technical Issue" | | priority | String | Calculated priority level | "High" | | sentimentscore | Number | Customer sentiment (-1 to 1) | -0.3 | | urgencyindicator | String | Urgency classification | "Immediate" | | responsetime | Number | Time to first response (hours) | 2.5 | | resolutiontime | Number | Time to resolution (hours) | 8.0 | | satisfactionscore | Number | Customer satisfaction rating | 4.2 | | agentassigned | String | Support agent name | "Sarah Johnson" | | status | String | Current ticket status | "Resolved" | 🛠️ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites - n8n instance with community nodes enabled - ScrapeGraphAI API account and credentials - Google Sheets account with API access - Help desk system API access (Zendesk, Freshdesk, etc.) - Email service integration (optional) Step-by-Step Configuration 1. Install Community Nodes bash Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials - Navigate to Credentials in your n8n instance - Add new ScrapeGraphAI API credentials - Enter your API key from ScrapeGraphAI dashboard - Test the connection to ensure it's working 3. Set up Google Sheets Connection - Add Google Sheets OAuth2 credentials - Grant necessary permissions for spreadsheet access - Create a new spreadsheet for customer support analysis - Configure the sheet name (default: "Support Analysis") 4. Configure Support System Integration - Update the websiteUrl parameters in ScrapeGraphAI nodes - Add URLs for your help desk system or support portal - Customize the user prompt to extract specific ticket data - Set up categories and priority thresholds 5. Set up Notification Channels - Configure Slack webhook or API credentials for alerts - Set up email service credentials for critical issues - Define alert thresholds for di