Productboard is a product management platform that helps teams prioritize and manage features effectively. By integrating with Relevance AI, you can enhance your product development process with AI-driven insights and automation.
Productboard streamlines product management by centralizing feedback and feature tracking. With Relevance AI, you can leverage intelligent AI Agents to automate processes and gain deeper insights from your product data.
Intelligent Insight Orchestration
The agent seamlessly processes and synthesizes customer feedback across multiple channels into actionable product insights
Strategic Prioritization Mastery
Leverages data patterns and market signals to optimize feature prioritization and roadmap alignment
Predictive Roadmap Enhancement
Analyzes historical data and market trends to suggest optimal product development paths and timing
Relevance AI seamlessly integrates with Productboard to enhance your product management 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 Productboard account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
This integration enables seamless interaction between Productboard's product management platform and Relevance AI's workflow automation capabilities, allowing you to programmatically manage features, create notes, and synchronize product data while leveraging both platforms' strengths.
Key benefits include automated feature management and tracking, streamlined product feedback collection, a centralized product development workflow, and real-time synchronization between platforms.
To get started, ensure you have the required accounts: a Productboard account with API access, a Relevance AI account, and OAuth credentials for Productboard. Additionally, make sure your system meets the requirements of Node.js 12.x or higher, HTTPS support for API calls, and a modern web browser for the OAuth flow.
Set up OAuth authentication by securely storing your OAuth credentials and configuring the base API endpoint. Initialize the connection with your OAuth account ID and the base URL.
For a quick start, you can create a new feature by defining its name, description, status, and parent type, and then making an API call. Similarly, you can create a note with customer feedback details and list features based on specific criteria.
In case of common issues, such as authentication errors or feature creation failures, verify your OAuth credentials, check permissions, and ensure that your requests adhere to the API's requirements. Implement error handling and data validation to ensure smooth operation of your workflows.
For further assistance, refer to the Productboard API Documentation, OAuth Configuration Guide, and Feature Schema Reference. For additional support or questions, please contact our technical support team or refer to the detailed API documentation.
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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
