Feedier is a customer feedback management platform that helps businesses collect, analyze and act on customer insights.
Enhance your feedback processes with AI agents that can automatically analyze sentiment, respond to customers, and turn feedback into actionable intelligence.
Feedier excels at gathering and organizing customer feedback data. Relevance AI transforms this feedback into intelligent action through AI agents that can analyze sentiment, automate responses, and drive continuous improvement.
Instant Feedback Analysis
The agent rapidly analyzes customer feedback to identify trends and sentiments.
Automated Response Generation
The agent crafts personalized responses to customer feedback in real-time.
Continuous Improvement Loop
Facilitates an ongoing cycle of feedback collection and product enhancement.
Relevance AI gives you access to Feedier's feedback management capabilities within your automated workflows and AI agents.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to safely access your Feedier feedback data. Relevance AI manages API operations seamlessly in the background, handling request methods and data formatting automatically.
Built-in validation ensures your feedback collection and analysis workflows operate reliably across different response formats.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Feedier + Relevance AI integration without writing code:
- Organize your feedback forms: Structure your Feedier surveys with clear question hierarchies and consistent response formats.
- Use authentication properly: Ensure OAuth credentials are correctly configured and permissions are appropriately set.
- Follow API best practices: Implement proper error handling and respect rate limits when making API calls.
- Validate responses: Test your feedback collection setup with sample data before full deployment.
- Monitor integrations: Regularly check API response status codes and maintain proper webhook configurations.
