ChatGPT writes it. Real people tell you if it works.
When ChatGPT 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.
Calls, transcripts, and findings.
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ChatGPT 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.
Key Features
Participant Evidence from ChatGPT
Ask ChatGPT 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.
What you can do with User Intuition
Test Headlines Before You Ship
Give ChatGPT your headline options and intended audience. Review a study that explores what each line means, which feels relevant, and what turns people away.
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.
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.
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.
How it compares
| Dimension | ChatGPT + User Intuition | ChatGPT Alone |
|---|---|---|
| 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. |
| Audience Reaction | Real people tell you what they think, why, and what's confusing | AI predicts reactions from training data. No awareness of your specific audience. |
| Minority Objections | Inspect interviews for disagreement and exceptions to the main themes | AI tends toward consensus. Minority objections stay hidden until launch. |
| Speed vs. Confidence | Recruitment estimate before launch; findings as interviews complete | Instant but unvalidated. Speed without evidence. |
| Setup Time | Connect once, then review the study plan and recruitment in the conversation | N/A — there's nothing to compare because there's no validation step |
| Compounding Intelligence | Study results and cross-study evidence search through MCP | Conversations disappear. No institutional memory. |
Setup to intelligence in minutes
Connect ChatGPT
Connect an OAuth-capable client to https://mcp.userintuition.ai/mcp and complete authorization. Follow https://docs.userintuition.ai/mcp-server/overview and verify the connection with a study read.
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.
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.
Bring Evidence Back
Return to the study as interviews complete. ChatGPT retrieves a report with references and supporting interviews, then helps explain the implications for your messaging.
"ChatGPT wrote our product launch copy in 20 minutes. We ran a message test and found that 34% of people misunderstood the core promise. Fixed it in one iteration. The entire cycle — copy, test, fix — took less than a day."
Head of Product Marketing — B2B SaaS, 200 employees
Write it in ChatGPT. Test it with real people.
Test headlines, claims, and positioning with real people. Bring cited study findings back to ChatGPT and build on what you learn.
See how an agent plans a study, coordinates approved recruitment, and retrieves interview evidence.
Run your first AI voice interviews today. Connect ChatGPT and start building your intelligence hub in minutes.
No contract · No credit card required · Approve recruitment before launch
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