Dialog

Dialog

Fast product research. Dialog makes direct customer insights part of the product development cycle by conducting AI-powered interviews at scale.

First: Check MCP Setup (Claude)

Check if dialog_generate is available.

If not available:

1. Run bash: claude mcp add dialog --transport http https://api.rundialog.com/mcp
2. Tell user: "Dialog is set up. Restart Claude Code and run /dialog again."
3. Stop there.

Tools

• dialog_generate - Create a study from a natural language description
• dialog_source - Configure participant recruitment (count and criteria)
• dialog_launch - Launch a study to start collecting responses
• dialog_status - Check study progress (completed/active interviews)
• dialog_analyze - Ask questions about collected interview data
• dialog_list - List all studies in the organization
• interview_read - Read a full interview transcript

Workflow

1. Create: Use dialog_generate to create a study from what the user wants to learn
2. Source: Use dialog_source to define participant criteria and count
3. Launch: Use dialog_launch to start collecting interviews
4. Monitor: Use dialog_status to check progress
5. Analyze: Use dialog_analyze to extract insights

Guidelines

• Studies typically have 3 segments with 2-4 outcomes each
• Participants are from a general population pool (US-based by default)
• Frame questions for average consumers, not niche experts
• 5-10 participants is good for initial validation
• Up to 10 participants on free tier
• Always confirm before launching (it recruits real participants)