We built the tool we wished existed.
You've weighted the data. You've boosted underrepresented demos. You've told yourself it's close enough. But you know most of your market never responds—and they're not like the ones who do. Same demographics. Different people. We built UNSAID to finally hear them.
100 people in your target market
Every research decision is built on hearing from only a fraction of your market. The majority stays silent—and they're systematically different from those who respond.
Every non-response is a data point. Every ignored survey contains information. The majority who stay silent have opinions. They're just not sharing them with traditional methods.
Adjusting by demographics doesn't solve the core problem. A 35-year-old who takes surveys thinks differently than one who ignores them—even with identical demographics.
Weighting adjusts for who responds. UNSAID models why they don't.
Think about who never responds: the privacy-conscious professional, the time-constrained parent, the skeptic who's been surveyed too many times. They're in your market. They have opinions.
"Non-response rates have climbed past 90% for telephone surveys and continue rising across all modes."— Pew Research Center
We're making critical decisions based on whoever has time to respond. It's a structural problem the industry has known about for decades—but couldn't solve. Until now.
This is what your analysis looks like. Click through each section to explore.
of your target market is likely not represented in current survey data
Distinct non-responder personas
Based on behavioral modeling
Your survey over-represents engaged, opinion-forward respondents by approximately 2.4x. Product decisions based on this data may not reflect actual market preferences.
We built UNSAID because we faced the same problem you do. It models non-responders and simulates their answers, giving you the complete picture you've always wanted.
Share your survey design, target audience, and what you're trying to learn. We analyze what you're asking and who's responding.
We generate personas representing different non-responder types—the time-constrained, privacy-conscious, and topic-disengaged.
AI-powered response simulation shows what each persona type would likely say—revealing blind spots in your current data.
Receive a bias assessment, hidden segment analysis, and simulated non-response data to complement your existing research.
Persona distributions achieve TVD < 0.05 against U.S. Census data—statistically indistinguishable from reality.
ValidatedModel the reasons people don't respond—not just their demographics, but their motivations and constraints.
ValidatedBig Five personality traits, decision fatigue factors, and values frameworks create psychologically consistent personas.
ValidatedAI simulates how non-responder personas would answer your specific survey questions.
In ValidationUNSAID is exploratory research technology. Our demographic modeling is census-validated, but response prediction accuracy is still being validated against real-world data. Use for hypothesis generation and blind spot identification, not final decision-making.
Read full methodology →Your competitors have the same blind spot. Be the first to fix it.
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