Reference Deep-Dives — Page 3
What Is an In-Depth Interview? A Practitioner's Methodology Guide
In-depth interviews surface the reasoning surveys miss. A practitioner's guide to IDI methodology, laddering, sampling, and why the economics changed.
API-Driven Customer Research: The Architecture That Replaces the Dashboard
API-driven customer research explained — three orchestration architectures, what a research API must provide, and how to migrate from dashboard-only to programmatic workflows.
Best MCP Servers for Market Research and Customer Insights (2026)
A research-practitioner's guide to the top MCP servers for market research — what separates data-scraping MCPs from research-platform MCPs and when to use each.
ChatGPT Customer Research Connector: Real Interviews, Not Just CRM Data
How to connect User Intuition to ChatGPT as a customer research connector — setup, 4 workflow examples, and why research-data connectors differ from CRM connectors.
Claude + MCP for Customer Research: Setup, Workflows, and Common Patterns
Connect User Intuition to Claude Desktop or Claude Code via MCP — config block, 5 end-to-end workflow prompts, and common gotchas for AI-driven customer research.
Cross-Study Customer Research: Querying Past Research via MCP
How to query across all your past customer research studies via MCP — the Intelligence Hub model, example agent queries, and why accumulated research compounds in value over time.
Customer Research from Cursor: Running Studies Without Leaving the IDE
How to set up User Intuition's MCP server in Cursor and run customer research studies directly from the IDE — config, example prompts, and async workflow patterns.
Customer Interview API for AI Agents: How Agents Run Real Research
How AI agents run real customer interviews via API — three integration patterns, panel recruitment, and how UI's 72-tool MCP server differs from voice AI APIs.
MCP Customer Research API: 9 Capability Groups, 72 Tools, One Key
The full programmatic surface of an MCP customer research API — 9 capability groups, 72 tools, authentication, transports, and three workflow patterns mapped end-to-end.
MCP vs REST API for Customer Research: When to Use Each
Decision framework for teams choosing between MCP and REST API integration for customer research — 5 factors, 4 workflow scenarios, and migration paths for each direction.
Synthetic Users vs Real Customers for AI Research: When Each Wins
When do AI-generated personas substitute for real customer research — and when do they fail? A practical decision guide for product and insights teams.
User Intuition MCP Server: 72 Tools for AI-Agent Customer Research
Complete reference for the User Intuition MCP server — 72 tools across 9 groups, stdio and Streamable HTTP transports, OAuth, and a single api key.