Integrations

Supercharge Dovetail with Relevance AI

Dovetail is a user research and insights platform that helps teams collect, analyze, and share qualitative data.

Enhance your research capabilities with AI Agents that can automate data collection, generate real-time insights, and streamline collaboration across teams.

Give your AI Agents Dovetail Superpowers

Dovetail excels at collecting and analyzing qualitative user research data. Relevance AI transforms this research into intelligent action through AI Agents that can automatically gather insights, analyze feedback, and generate actionable recommendations.

Insightful Data Synthesis

The agent can seamlessly combine qualitative insights into cohesive narratives for better understanding.

Real-Time Analysis

The agent provides instant insights from qualitative data, enabling swift decision-making.

Streamlined Research Processes

It automates routine tasks, allowing teams to focus on strategic implementation and innovation.

Tools

Equip AI Agents with the Dovetail Tools they need

Relevance AI gives you access to Dovetail's research and insights capabilities within your AI-powered workflows.

Security & Reliability

The integration leverages OAuth authentication to securely connect with your Dovetail workspace and data. Relevance AI manages API requests (GET, POST, PUT, DELETE, PATCH) behind the scenes—handling authorization headers and request formatting automatically.

Built-in request validation and response handling ensure reliable data exchange between Relevance AI and Dovetail's API 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.

To get the most out of the Dovetail + Relevance AI integration without writing code:
  • Organize your research data: Structure your Dovetail insights and tags systematically before integration.
  • Use proper authentication: Ensure OAuth credentials are correctly configured for secure API access.
  • Follow API best practices: Implement proper error handling and respect rate limits when making requests.
  • Validate responses: Check API response status codes and data formats before processing.
  • Monitor usage: Keep track of API calls and maintain logs for troubleshooting.