This article provides a complete, practical walkthrough of the Trello Googlecloudnaturallanguage Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automate Customer Feedback Analysis with n8n, Typeform, and NLP
   
   Meta Description:  
   Learn how to streamline and analyze customer feedback using a powerful n8n workflow that integrates Typeform, Google Cloud Natural Language, Notion, Slack, and Trello.
   
   Keywords:  
   n8n automation, customer feedback workflow, Typeform integration, Google Cloud Natural Language API, sentiment analysis, automate feedback, Trello workflows, Notion automation, Slack notifications, no-code automation
   
   Third-party APIs Used:
   
   - Typeform API (Form Data Collection)
   - Google Cloud Natural Language API (Sentiment Analysis)
   - Notion API (Database Record Creation)
   - Slack API (Notifications)
   - Trello API (Task Management)
   
   Article:
   
   In an age where customer-centricity is paramount, capturing, analyzing, and acting on feedback quickly can make the difference between improving your product or losing customers. What if you could automate this entire process using no-code tools? With n8n—an open-source workflow automation platform—you absolutely can.
   
   In this article, we break down a powerful n8n workflow designed to capture feedback from Typeform, analyze the sentiment using Google's Natural Language API, and route the response appropriately to Notion, Slack, and Trello based on its sentiment score.
   
   Let’s dive into how this automated system transforms raw feedback into powerful insights and actionable data.
   
   Step 1: Capturing Feedback with Typeform
   
   The workflow begins with the “Typeform Trigger” node. It listens for new submissions to a particular form—let’s assume it’s a customer feedback form. When a user submits their name and a suggestion or comment, this node captures the answers in real time.
   
   This makes Typeform the entry point to our workflow, saving you the need to manually monitor form submissions or download data.
   
   Step 2: Sentiment Analysis with Google Cloud Natural Language
   
   Once feedback flows into n8n, it moves to the “Google Cloud Natural Language” node. This node performs natural language processing on the user’s message (specifically from the field “Any suggestions for us?”).
   
   The goal: identify the sentiment score of the comment. The sentiment score typically ranges from -1 (very negative) to 1 (very positive).
   
   Why is this valuable? Because raw text can be hard to interpret at scale. NLP helps quantify the emotional tone of feedback, enabling automated decisions based on whether the user feedback is positive or negative.
   
   Step 3: Conditional Branching with the IF Node
   
   Now comes decision time. The workflow uses an “IF” node to determine what happens next based on the sentiment score derived earlier.
   
   If the feedback score is greater than 0 (positive sentiment), the feedback is routed to both Notion and Trello for documentation and follow-up. This ensures that valuable suggestions or happy customer messages don’t go unnoticed.
   
   By filtering based on sentiment, your team can focus on what matters most—actionable, constructive feedback.
   
   Step 4: Documentation in Notion
   
   Positive feedback is sent to Notion via the “Notion” node. This node adds a new page to a designated database, storing the user's name and their suggestion.
   
   Centralizing positive feedback in Notion can help:
   - Capture testimonials
   - Identify recurring positive themes
   - Empower product and marketing teams with real voice-of-customer data
   
   Step 5: Team Notification via Slack
   
   Next, the workflow triggers a notification in Slack’s #general channel. The “Slack” node posts a message that includes the user’s name, their feedback, and the sentiment score.
   
   This real-time alert:
   - Informs your team about real customer sentiments
   - Keeps feedback visible across departments
   - Encourages timely follow-up
   
   Step 6: Task Management in Trello
   
   At the same time, a Trello card is created via the “Trello” node. The card includes:
   - The sentiment score
   - The actual feedback message
   - The user’s name
   
   The card is posted to a specific Trello list, making it easier for customer success or product teams to track suggestions and close the loop on feature requests or praise-worthy moments.
   
   What Makes This Workflow Powerful?
   
   - It requires zero manual sorting of feedback messages.
   - It's fully automated—including intelligent branching based on sentiment.
   - It brings together structured data (Notion), task management (Trello), and team communication (Slack).
   - You can easily customize this flow to include support tickets, email alerts, or CRM updates.
   
   Summary
   
   Capturing feedback is only half the battle. Analyzing sentiment and acting on the intelligence is where businesses win.
   
   This n8n workflow acts as a smart feedback router—filtering noise, highlighting value, and making sure the right people see the right messages at the right time. Whether you're a product manager, customer support lead, or operations specialist, automating your feedback analysis can save hours and offer deeper insights.
   
   Give it a try, or tailor it to your own use-case. With n8n and a few powerful integrations, you can supercharge your customer experience strategy without writing a single line of code.
   
   Ready to turn your feedback into actionable insights?
   
   Explore this workflow setup in n8n today.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.