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Qualify leads with AI review analysis using Azure GPT-4o-mini and Google Sheets

Workflow preview

Qualify leads with AI review analysis using Azure GPT-4o-mini and Google Sheets preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

Description:

Turn raw customer feedback into actionable insights with this intelligent n8n workflow template! Automatically capture reviews from Google Sheets, run AI-driven sentiment and intent analysis, and enrich your dataset with structured insightsβ€”no manual review required.

This automation connects to your feedback form responses, processes reviews with an AI model, classifies intent, evaluates sentiment, assigns a score, and generates concise summaries. The results are then parsed, merged with original customer details, and stored in a structured Google Sheet for easy tracking. Perfect for sales, product, and customer success teams looking to streamline lead qualification and feedback analysis.

What This Template Does:

πŸ“Š Captures new customer feedback from Google Sheets in real time 🧠 Uses AI to classify intent (praise, complaint, suggestion, etc.) 😊 Detects sentiment (positive, neutral, negative, or mixed) πŸ”’ Assigns a review score (1–10) for quick lead qualification πŸ“ Generates short, meaningful summaries of customer reviews πŸ“‚ Saves enriched data into a structured destination sheet 🌟 100% hands-free: just let AI process and organize your feedback

Built-in Logic Ensures:

βœ”οΈ Clean JSON-based AI output (intent, sentiment, score, summary) βœ”οΈ Customer details remain tied to their feedback and insights βœ”οΈ Final dataset is ready for reporting, CRM import, or dashboards

Requirements:

  • Google Sheets with customer feedback form responses
  • Google Sheets account for storing enriched data
  • Azure OpenAI (or compatible) account for AI analysis
  • n8n instance (self-hosted or cloud)

Perfect For:

  • Sales teams qualifying leads based on review sentiment
  • Product managers analyzing user feedback at scale
  • Customer success teams identifying risks and opportunities
  • Analysts turning unstructured reviews into actionable insights