Why Not Synthetic or Traditional Research

There are three broad approaches to consumer research. Two of them have well-known failure modes.

The full argument lives in Philosophy.

Pure synthetic research

Synthetic tools generate responses using randomness; they lean on the central limit theorem, which says that if you flip enough coins the distribution will look normal. Flip 10,000 coins, something will stick. Several synthetic-panel vendors operate in this space.

The problem: synthetic research tells you what you want to hear. People generally don’t want to be told they’re wrong about their product. They look for a validator. Tom Cruise wanted to climb the Burj Khalifa; when his stunt director told him he couldn’t, he found another stunt director who would say yes. That is the mindset synthetic research enables. You pick your hypothesis, you run 10,000 respondents, and the math gives you something that confirms the hypothesis, because the inputs were shaped by what you already believe.

Traditional human research

Traditional research, in-person panels, focus groups, field interviews, takes six months, costs a lot, and produces data that may already be stale by the time you act on it. And even when the data is fresh, people lie.

There are two specific biases at work:

Social-desirability bias. Consumers present the version of themselves they want you to see. Nobody in a focus group says “I go to Walmart because I’m stingy.” But if you have twenty people in a room, it’s quite possible all twenty of them are stingy; they just won’t admit it. The Walmart “I’m stingy” example is illustrative: the truth about price sensitivity only comes out when no social pressure is present.

Focus-group peer pressure. When people see others’ answers in a room, they adjust. The group converges on what sounds acceptable, not what is true.

Traditional research also has a permanence problem: if you realize after six months that you forgot to ask two follow-up questions, the respondents are gone. You spend more money to go back.

Where Consumr.AI fits

Consumr.AI backs its twins with millions of people who are on social media sharing their real opinions: not curated survey answers, not coin-flip randomness. One twin represents all of them and tells you what they’re actually going through, including the things they would never say out loud in a focus group.

More honest than human panels, faster than fieldwork, more grounded than pure synthetic.

Read the full positioning in Philosophy.