n8n Workflow: Collect Customer Feedback, Analyze with Claude, Email via Gmail
n8n Workflow: Collect Customer Feedback, Analyze with Claude, Email via Gmail
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n8n Workflow: Collect Customer Feedback, Analyze with Claude, Email via Gmail
Regular price
£65.99
Regular price
£65.99
Sale price
Unit price
/
per
Turn customer feedback into actionable insights—automatically
This n8n workflow collects customer feedback from an n8n Form, analyzes sentiment and key themes with Claude (Anthropic), logs everything for Voice-of-Customer tracking, and sends a Gmail acknowledgement to the customer. If the sentiment is negative, it also emails an internal owner alert via Gmail.
What this workflow does
- Receives feedback submissions from an n8n Form (name, email, rating, and written feedback).
- Normalizes inputs and converts the rating into a 1–5 numeric value.
-
Analyzes with Claude to classify sentiment, category, priority, themes, and generate:
- a one-sentence summary
- an internal note
- an HTML acknowledgement email
- Shapes the AI output into a single record with timestamps and an action label (logged, testimonial-flagged, or owner-alerted).
- Logs feedback + analysis to an n8n Data Table (e.g., customer_feedback_log).
- Sends the customer acknowledgement via Gmail.
- Owner alert on negative sentiment: if sentiment is negative, sends an internal email (via Gmail) including the summary, themes, and a suggested action; otherwise it ends without an alert.
Use cases
- Capture real-time SaaS feedback and respond immediately with a branded acknowledgement email.
- Track customer sentiment trends in a Voice-of-Customer log for support and product teams.
- Escalate negative feedback to an internal inbox for faster triage and follow-up.
Technical details
- Nodes/stack: set, no op, switch, gmail, data table, sticky note
- Integrations: Anthropic Claude credential for AI analysis; Gmail OAuth2 for emailing customers and alerts
- Setup steps: configure Claude and Gmail credentials; set the owner-alert recipient (e.g., you@company.com); use or create the customer_feedback_log Data Table.
