ChatGPT

ChatGPT writes it. Real people tell you if it works.

You already use ChatGPT to write headlines, landing pages, and launch copy. Now test it with real humans before you ship. User Intuition runs preference checks, claim reactions, and message tests with real people — right inside ChatGPT. Quantified signal in hours: who prefers what, who believes it, what's confusing, and who objects.

Human signal in 2-3 hours
98% participant satisfaction
Decision-grade output, not opinions
Intelligence Report Live
0% Validated
Preference
82%
Credibility
68%
Clarity
74%
AI Insight

34% of respondents misunderstood the core promise — fixed in one iteration...

User Intuition
Benchmark
87%
Live

Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
BuildHer
Abacus Wealth
TL;DR

ChatGPT generates messaging that sounds right — so teams skip validation and ship. Nobody checks whether real people trust the claim, prefer the headline, or understand the promise until after the budget is spent. Say 'Get human signal' in ChatGPT and ~25 real people weigh in within hours: preference splits, agreement scores, credibility data, and the minority objections that would otherwise blindside you at launch.

Integration Details
Category Human Signal · ChatGPT
Data Sync Native — ChatGPT launches studies, retrieves results, and queries intelligence directly
Setup MCP · Under 5 minutes
Status Coming Soon

Key Features

Human Signal in ChatGPT

When ChatGPT generates messaging, it can offer to test it with real people. Say 'Get human signal' or 'Run it by real people' and ChatGPT creates a study — preference check, claim reaction, or message test. Participants are recruited from a 4M+ vetted panel. Results return in hours, right in your thread.

Three Opinionated Modes

Preference checks: which option do people prefer and why? Claim reactions: do people believe this? What triggers skepticism? Message tests: what do people think this promises? What's confusing? Each mode is a fast, templated study that returns structured signal — not a survey you need to design.

Decision-Grade Output

Every result includes: headline metric + confidence note + themes (what's working) + themes (what's not) + minority view (size + core objection + real quote) + recommended edits. Designed so you can act immediately — not analyze for a week.

Compounding Intelligence Hub

Every human signal study and deep interview feeds the same searchable knowledge base. Ask 'What have we learned about our messaging this quarter?' and surface patterns across all your tests. 20 message tests over 6 months builds a record of what resonates — queryable alongside all your deep customer research.

Use Cases

What you can do with User Intuition

Validate Headlines Before Launch

ChatGPT just gave you three headline options for your campaign. Say 'Run a preference check.' Within hours, ~25 people tell you which one wins, why they prefer it, and what's wrong with the others — including the minority who disagree. Ship the winner with evidence.

Preference split + reasons + minority objections. Pick the winner before it goes live.

Validate Product Claims with Real Customers

ChatGPT helped you write 'Cut onboarding time by 60%.' Sounds great — but will your audience believe it? Run a claim reaction. Get agreement distribution, credibility scores, and the skepticism triggers that would undermine trust. Rewrite the claim before it launches.

Credibility data + skepticism triggers from real people. Fix the claim, not the fallout.

Message-Test Landing Pages

Before you publish, run a message test on your landing page copy. Real people tell you — in their own words — what they think it promises, what confuses them, and whether it makes them want to learn more or move on. Clarity scores, confusion drivers, and emotional tone.

Know exactly what your landing page communicates — from the audience, not the team.

Search Your Research History from ChatGPT

Every human signal study compounds in your intelligence hub alongside deep customer research. Ask ChatGPT: 'What messaging themes have tested best this quarter?' or 'Show me the claims that scored lowest on credibility.' Pattern recognition across all your tests — automatically.

A searchable record of what resonates. Intelligence that compounds over time.
Compare

How it compares

Dimension ChatGPT + User Intuition ChatGPT Alone
Messaging Confidence Real human signal — quantified preference, credibility, and clarity data 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 Always surfaces the dissent — who disagrees and why AI tends toward consensus. Minority objections stay hidden until launch.
Speed vs. Confidence Validated results in 2-3 hours — fast and grounded Instant but unvalidated. Speed without evidence.
Setup Time Say 'Get human signal' — no survey to build, no tool to learn N/A — there's nothing to compare because there's no validation step
Compounding Intelligence Every test compounds in a searchable hub — queryable forever Conversations disappear. No institutional memory.
How It Works

Setup to intelligence in minutes

1
2 min

Connect Your Account

Add the 'User Intuition — Human Signal' app to ChatGPT. One-time setup — subsequent sessions recognize you automatically. Account required because each study has a cost.

2
30 sec

Ask for Human Signal

When ChatGPT generates messaging, say 'Get human signal' or 'Run a preference check.' ChatGPT asks up to two questions — mode and audience — confirms sample size, ETA, and cost.

3
2-3 hrs

Real People Respond

User Intuition recruits from a 4M+ vetted panel (or your own email list). AI-moderated conversations probe preferences, beliefs, and clarity with 5-7 level laddering depth. 98% participant satisfaction.

4
Instant

Results in Your Thread

Come back and say 'Any update?' ChatGPT presents the headline metric, themes, minority objections with quotes, and recommended edits. Full results also in your dashboard and intelligence hub.

"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

Coming Soon

Write it in ChatGPT. Test it with real people.

Preference checks, claim reactions, and message tests — directly in ChatGPT. Human signal in hours, not weeks. Every study compounds in your intelligence hub.

See it in action

See how ChatGPT launches human signal studies, presents results, and queries your intelligence hub — all in one conversation.

Quick Start

Run your first AI voice interviews today. Start building your intelligence hub before the ChatGPT integration launches.

No contract · No credit card required · Results in hours

FAQ

Common questions

After adding the 'User Intuition — Human Signal' app to ChatGPT, just ask ChatGPT to 'get human signal' or 'run a preference check' when it generates messaging you want to validate. ChatGPT creates a human signal study — you choose the mode (preference, claim, or message test), audience (general population or your own email list), and sample size. Results return in 2-3 hours, directly in your ChatGPT thread.
Preference checks compare 2-5 options and tell you which one people prefer and why — plus reasons for the losers and a confusion rate. Claim reactions test whether people believe a specific statement and return agreement distribution, credibility scores, and skepticism triggers. Message tests evaluate what people think your copy promises, what's confusing, and how it makes them feel — with clarity scores, implied promise clusters, and emotional tone.
Cost scales with sample size. A default 25-person study is the most common starting point. Before any study launches, ChatGPT shows you the estimated cost and ETA for confirmation — you can also run a dry-run estimate without creating a study. No subscription required; pay per study.
By default, User Intuition recruits from a 4M+ vetted global panel with demographic targeting and multi-layer fraud prevention (bot detection, duplicate suppression, professional respondent filtering). You can also paste up to 200 email addresses to test with your own audience. Every result includes an audience profile showing who responded.
ChatGPT presents results in a structured format: (1) headline metric with sample size, (2) confidence note, (3) themes — what's working, (4) themes — what's not, (5) minority view with size, core objection, and a real participant quote, (6) 1-3 specific recommended edits. Full results are also available in your User Intuition dashboard and intelligence hub.
Yes. Every study created from ChatGPT appears in your dashboard with a 'Human Signal' badge, mixed chronologically with all other studies. Transcripts and insights are searchable in your intelligence hub alongside deep customer research. Even lightweight signal tests compound into institutional memory.
Yes. The same MCP tools that power the ChatGPT experience work with any AI platform — Claude, coding agents, workflow automation tools. Developers can programmatically create studies, poll for results, and act on findings. The tools are designed as a general-purpose agent interface: ask_humans, get_results, list_studies, cancel_study.