Claude

You wrote it in Claude. Now test it with real people.

When Claude helps you write headlines, positioning, or launch copy, User Intuition helps you test it with real people. Design a study in the conversation, review the plan and recruitment estimate, and bring participant reactions back into your work. Learn what resonates, what is misunderstood, and why.

Real participant evidence
98% participant satisfaction
MCP research tools
Researcher using User Intuition AI-moderated research platform
Research workspace Preview
APIResearch Access
3Interview Modes
SearchPrior Evidence
Fieldwork activity7 days
One place for your evidence

Calls, transcripts, and findings.

Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
Procter & Gamble
Microsoft
CHG Healthcare
TL;DR

Claude can write polished messaging, but your audience decides what it means and whether it is credible. User Intuition connects the conversation to real participant research. Describe the decision, choose a panel or your own customers, review the saved plan, and approve recruitment. Your agent retrieves study reports and interviews so you can connect suggested edits to evidence. Preference checks, claim reactions, and message tests use this same workflow. MCP and CLI provide access to the research workflow. Agents can search authorized research and fetch the source reports and interviews.

Integration Details
Category Participant Evidence · AI Research
Data Sync Direct via MCP — research workflows; hosted OAuth or local stdio
Setup MCP · Under 10 minutes
Status Live

Key Features

Participant Evidence from Claude

Ask Claude to investigate your messaging with real participants. It helps shape the brief, shows the saved plan for review, and coordinates recruitment after approval.

Three Messaging Questions

Which option feels relevant, and why? What makes a claim believable? What does your message promise? Build these questions into an approved study and use the interviews to understand the answers.

Findings You Can Check

Retrieve report text with references and inspect the interviews behind important claims. Use participant reactions to explain the recommendation, including disagreement and missing perspectives.

Build on Earlier Studies

Agents can search findings and participant responses across authorized studies, then retrieve the underlying reports and interviews. Results preserve study context and source links; the calling agent interprets the evidence. Search coverage is explicit, and retrieving evidence does not launch research.

The Research Workflow

MCP research tools cover studies, participants, interviews, panel reference and feasibility, webhooks, and configuration catalogs. The CLI exposes the same research tools. See https://docs.userintuition.ai/mcp-server/overview for the current reference. The calling agent retrieves study results and supporting interviews, then interprets the evidence.

Use Cases

What you can do with User Intuition

Test Headlines Before You Ship

Give Claude your headline options and intended audience. Review a study that explores what each line means, which feels relevant, and what turns people away.

Understand preferences and the reasons behind them.

Validate Claims Before Launch

Ask whether your intended buyers understand and believe the claim. Explore what feels credible, what triggers skepticism, and what proof they would need.

Identify objections before they shape your launch.

Message-Test Landing Page Copy

Ask real participants what your copy promises, where it is confusing, and what would make them want to learn more. Connect each proposed edit to the resulting evidence.

Make copy clearer with participant evidence.

Revisit Earlier Research

Agents can search findings and participant responses across authorized studies, then retrieve the underlying reports and interviews. Results preserve study context and source links; the calling agent interprets the evidence. Search coverage is explicit, and retrieving evidence does not launch research.

Compare selected study evidence with its sources visible.
Compare

How it compares

Dimension Claude + User Intuition AI Opinions Without Validation
Messaging Confidence Real participant reactions with cited reports and supporting interviews AI-generated confidence with no empirical check. Feels right — but you won't know until launch.
Evidence Quality Real participant reactions with cited reports and supporting interviews AI-generated opinions with no empirical backing
Minority View Inspect interviews for disagreement and exceptions to the main themes AI tends to agree with you. No dissenting voice.
Speed Recruitment estimate before launch; findings as interviews complete Instant — but unvalidated. Confidence without evidence.
Intelligence Over Time Study results and cross-study evidence search through MCP Conversations disappear. Nothing compounds.
Workflow Plan and review research with Claude, then retrieve the study evidence Copy to survey tool, wait weeks, paste results back manually
How It Works

Setup to intelligence in minutes

1
Connect

Connect Claude

Use hosted OAuth in a compatible client, or configure local stdio with @userintuition-ai/mcp and your USERINTUITION_API_KEY. Follow https://docs.userintuition.ai/mcp-server/overview and verify the connection with a study read.

2
Plan

Review Your Study

Describe the messaging and audience. Choose panel recruitment or your own customers, answer the planning questions, and review the full saved study plan.

3
Recruit

Approve Recruitment

Review the panel estimate, including country, language, cost, and timeline, before launch. For your own customers, authorize the participant list and invitations. Timing depends on the audience and fielding conditions.

4
Learn

Bring Evidence Back

Return to the study as interviews complete. Claude retrieves a report with references and supporting interviews, then helps explain the implications for your messaging.

"We were about to launch a rebrand with copy Claude helped write. Ran a message test first — 24% of respondents found the tagline confusing. We caught a $200K mistake in 3 hours for less than the cost of lunch."

VP of Marketing — Series B SaaS, 150 employees

Live Now

Stop guessing if your messaging works. Ask real people — from Claude.

Test headlines, claims, and positioning with real people. Bring cited study findings back to Claude and build on what you learn.

See it in action

See how an agent plans a study, coordinates approved recruitment, and retrieves interview evidence.

Quick Start

Run your first AI voice interviews today. Connect Claude Desktop and start building your intelligence hub in minutes.

No contract · No credit card required · Approve recruitment before launch

FAQ

Common questions

Connect User Intuition MCP, then give Claude your copy, audience, and research question. Choose panel or BYOP, answer the planning questions, and approve the saved plan. Review the panel estimate or customer invitations before recruitment. Retrieve the report and interviews as evidence becomes available.

They are research objectives within the same study workflow. A preference check explores which option people favor and why. A claim reaction explores belief and skepticism. A message test explores meaning and confusion. They are not separate API modes with guaranteed score fields.

Use the panel dry-run estimate for the audience and country you plan to recruit. Actual timing depends on eligibility, recruitment, and interview completion. You can return to the study later to retrieve completed interviews and its report.

Choose a panel audience or bring your own participants. Panel recruitment uses the approved targeting and selected country. BYOP accepts 1–100 unique email addresses per batch; invitations send by default unless the individual record is marked silent. Review the plan and authorize invitations first.

Agents can search findings and participant responses across authorized studies, then retrieve the underlying reports and interviews. Results preserve study context and source links; the calling agent interprets the evidence. Search coverage is explicit, and retrieving evidence does not launch research.

Use https://mcp.userintuition.ai/mcp with OAuth in a compatible client. Local stdio uses npx -y @userintuition-ai/mcp with USERINTUITION_API_KEY. The CLI also supports browser login. Follow the current client instructions at https://docs.userintuition.ai/mcp-server/overview.

MCP research tools cover studies, participants, interviews, panel reference and feasibility, webhooks, and configuration catalogs. The CLI exposes the same research tools. See https://docs.userintuition.ai/mcp-server/overview for the current reference. Agents can create and customize studies, coordinate approved recruitment, inspect interviews, and generate or retrieve cited study reports. Participant Evidence uses these study tools rather than a separate five-tool catalog.
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