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)