Iterate is a leading platform for streamlining product development through user feedback and data-driven insights.
Enhance your product development process with AI Agents that can automatically gather insights, analyze feedback patterns, and drive informed decision-making.
Iterate excels at gathering and analyzing user feedback for product development. Relevance AI transforms this feedback into intelligent action with AI Agents that can automatically collect, analyze, and drive product decisions.
Real-Time Feedback Processing
The agent can instantly analyze user feedback, enabling timely adjustments to product development.
Automated Insight Generation
It autonomously identifies trends and patterns in user data, streamlining decision-making.
Predictive Feature Prioritization
It leverages historical data to forecast user needs, guiding product feature development effectively.
Relevance AI gives you access to Iterate's user feedback and product development tools within your automated workflows.
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 uses secure OAuth authentication, ensuring only authorized workflows access your Iterate data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication headers, request formatting, or API limits.
Built-in validation and path handling ensure your workflows run smoothly, even when making requests to different Iterate endpoints.
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 Iterate + Relevance AI integration without writing code:
- Configure OAuth properly: Ensure correct authorization settings and permission scopes are granted.
- Structure API requests: Use appropriate HTTP methods and maintain consistent path formatting.
- Handle responses effectively: Monitor response status codes and parse response bodies appropriately.
- Manage headers wisely: Set necessary custom headers while respecting authorization header requirements.
- Implement error handling: Account for rate limits and validate responses before processing data.
