I Built a System That

I Built a System That Reads All My Customer Feedback and Sends Me a Full Report Automatically So last week, a friend who runs a training business in Abuja asked me something interesting. He collects feedback after every cohort through Google Forms. Over 6 months he had about 400 responses sitting in a Google Sheet. I asked him what patterns he was seeing. He looked at me and said: "Guy, I opened that sheet once. I read maybe the first 20 rows and closed it. Who has time to read 400 responses one by one?" That is a real problem. He spent money running the forms, spent time distributing them, but the actual data never got used. The insights just sat there collecting dust. That conversation is exactly why I built the system I am going to show you today. It reads your entire Google Sheet of feedback, sends everything to an AI model for deep analysis, and delivers a clean professional report straight to your Telegram. No manual reading. No CSV exports. No guesswork.

What This Workflow Does You connect it to any Google Sheet that collects form responses. The system pulls every single row, groups all the answers by question automatically, and feeds the entire batch to DeepSeek AI. The AI analyzes the full dataset and produces a structured report covering overall sentiment, what customers are praising, what they are complaining about, specific recommendations for what to do next, and notable quotes worth paying attention to. That report lands in your Telegram within seconds. If the sheet is empty or something breaks, you get an error alert in the same chat explaining exactly what happened. How I Built It (5 Core Nodes) Here is the core architecture: 1. Google Sheets Node Connects directly to your spreadsheet. Pulls every row from the responses tab in one operation. 2. Aggregate Node Combines all individual rows into a single batch so the AI can analyze everything together instead of one response at a time. 3. Format Feedback Code Node This is the smart part. It reads whatever column headers your form has and groups all answers under each question automatically. If your form has 3 questions or 10 questions, it works the same way. It also adds the total response count. 4. DeepSeek LLM Chain The AI engine. Takes the formatted feedback and writes a professional analysis report. Covers sentiment, highlights, complaints, actionable next steps, and standout quotes. 5. Telegram Delivery Sends the finished report to your phone instantly. If the data was empty, a separate error alert fires instead so nothing fails silently.

What It Costs

n8n hosting: Already running (Railway) Google Sheets API: Free DeepSeek API: Less than 1 cent per analysis run Telegram Bot API: Free Total: Practically zero compared to hiring someone to read feedback manually.The Business Value If you collect feedback from customers, students, event attendees, or employees and you are not analyzing it consistently, you are wasting the effort you put into collecting it. This automation guarantees every single feedback cycle gets read and summarized. The AI catches patterns a human skimming through rows would miss. Whether you run a training company, a restaurant, an e-commerce store, or a service business, if you have a Google Sheet with customer responses, this workflow turns that data into something you can actually act on. I deployed this today and it is running live right now.:: I build these systems for businesses. If you need automated feedback analysis, customer sentiment tracking, or any kind of business process automation, send me a DM. I will break down exactly what I can build for your specific use case.