Feedback Collector for E-commerce
An AI agent that handles feedback collection for customer support teams in e-commerce & retail businesses. Triggered by scheduled daily check, it extracts structured data, classifies and categorises, produces a report, running fully autonomously.
Collecting customer feedback is easy to deprioritize when the queue is busy. This agent sends CSAT surveys at the right moment, routes low scores for follow-up, and aggregates insights so nothing falls through the cracks.
Ideal For
- Support managers
- Customer success
- Help desk teams
- Teams in e-commerce & retail
Data Sources
- Helpdesk (Zendesk, Freshdesk)
- Email inbox
Trigger
Workflow starts when: Scheduled daily check
Collect Data
Retrieve data from: Helpdesk (Zendesk, Freshdesk), Email inbox
Extract structured data
Perform: extract structured data on the collected data
Classify / Categorize
Perform: classify / categorize on the collected data
Produce report
Perform: produce report on the collected data
Log activity
Perform: log activity on the collected data
Complete & Log
Log activity, update records, and close the workflow
If: Ticket is resolved and marked closed
Then: Send CSAT survey after 24 hours
If: Customer rates experience below 3/5
Then: Trigger follow-up from support manager
If: Survey is not completed within 3 days
Then: Send one gentle reminder, then close
If: Customer leaves detailed written feedback
Then: Route to product team for analysis
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
- If data source is unavailable, retry 3 times then alert admin
- If AI response confidence is below 70%, flag for human review
- Tasks processed per day
- Error/failure rate
- Survey completion rate
- Average CSAT score trend
- Response-to-improvement action rate
System Prompt
You are a Customer Support AI assistant specialized in feedback collection. ## Your Role You help customer support teams by automating feedback collection tasks. Your communication style is concise. ## Capabilities You can: extract structured data, classify / categorize, produce report, log activity. ## Guidelines - Always be accurate and verify data before acting - Flag uncertain cases for human review - Maintain professional tone - Never make promises or commitments on behalf of the organization - Respect data privacy and confidentiality - Log all significant actions for audit purposes ## Constraints - Only access data sources explicitly provided - Do not perform actions outside your defined scope - Escalate edge cases rather than guessing
Starter User Prompt
Process this scheduled daily check: [INSERT DATA HERE] Perform feedback collection according to your guidelines. Provide: 1. Classification/analysis 2. Recommended action 3. Draft output (if applicable) 4. Any flags or concerns
Handoff Prompt
This task requires human attention. Here is what I have processed: ## Summary [Brief description of what was done] ## Analysis [Key findings and classification] ## Recommended Action [What should happen next] ## My Concerns [Any flags, uncertainties, or edge cases] Please review and respond when available. Please review and advise how to proceed.
# Feedback collection Agent - Standard Operating Procedure ## Purpose This SOP defines how the Feedback collection Agent operates within the organization. ## Trigger Scheduled daily check ## Data Sources - Helpdesk (Zendesk, Freshdesk) - Email inbox ## Process Steps 1. Extract structured data 2. Classify / Categorize 3. Produce report 4. Log activity ## Human Oversight None – fully autonomous ## Escalation Path 1. Agent flags issue 2. Notification sent to assigned reviewer 3. If no response in 4 hours, escalate to backup 4. Log all escalations ## Review Schedule Monthly review of agent performance and rules
- 1Define access credentials for all data sources
- 2Set up automation platform (n8n/Zapier)
- 3Configure AI API access (OpenAI/Claude)
- 4Create trigger workflow
- 5Connect input data sources
- 6Implement extract structured data step
- 7Implement classify / categorize step
- 8Implement produce report step
- 9Implement log activity step
- 10Test with sample data
- 11Configure error handling and alerts
- 12Set up logging and monitoring
- 13Document and train team
- 14Deploy to production
- 15Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: Scheduled daily check - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Helpdesk (Zendesk, Freshdesk): HTTP Request or native integration node - Email inbox: HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Extract structured data 2. OpenAI Node: Classify / Categorize 3. Function/HTTP Node: Produce report 4. Function/HTTP Node: Log activity ### Output Nodes - Update destination systems - Send notifications - Log activity
Zapier Zap
## Zapier Workflow Outline ### Trigger (Zap starts when...) - Scheduled daily check ### Data Lookup Steps - Search/Lookup in Helpdesk (Zendesk, Freshdesk) - Search/Lookup in Email inbox ### Action Steps 1. ChatGPT by Zapier: Extract structured data 2. ChatGPT by Zapier: Classify / Categorize 3. App Action: Produce report 4. App Action: Log activity ### Final Actions - Update records - Send completion notification
Example Use Cases
- •Send CSAT surveys automatically 24 hours after ticket resolution
- •Route low-score responses to the support manager for follow-up
- •Aggregate feedback by topic monthly for product and support leadership
Tools Needed
Frequently Asked Questions
What does the Feedback collection Agent do?
An AI agent that handles feedback collection for customer support teams in e-commerce & retail businesses. Triggered by scheduled daily check, it extracts structured data, classifies and categorises, produces a report, running fully autonomously.
What tools do I need to implement this?
You'll need n8n or Zapier (workflow automation), OpenAI API or Claude API (AI processing), Zendesk, Freshdesk. Most implementations use n8n or Zapier as the workflow automation layer.
How long does implementation take?
A basic implementation typically takes 1-2 days for simple workflows, or 1-2 weeks for complex integrations with multiple data sources.
How do I handle errors and edge cases?
The blueprint includes exception handling rules and escalation paths. Configure alerts for failures and set confidence thresholds for human review.
What level of technical skill is needed?
Basic familiarity with workflow automation tools (Zapier/n8n) is helpful. No coding is required for most implementations, though API integration experience helps for advanced setups.
Best For
- •You have regular feedback collection tasks
- •The process follows clear, repeatable rules
- •Current manual handling creates delays or errors
- •Team capacity is stretched on routine work
Not Ideal For
- •Tasks require complex judgment or creativity
- •Volume is too low to justify setup time
- •Rules change frequently and unpredictably
- •Data quality is poor or inconsistent
Review Before Launch
- All integrations tested with real credentials
- Error handling and retry logic configured
- Notification channels set up for alerts
- Team trained on reviewing exceptions
- KPI dashboard configured
- Rollback plan documented
Ready to implement your Feedback collection Agent? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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