WHERE YATABASE IS PURPOSE‑BUILT The things a chatbot can’t give you
When the work is research — designed, defensible, repeatable — the gap between a chatbot and a research platform is the difference between an idea and an answer.
01
Calibrated personas, not characters
Each persona is built from demographics, psychographics, and behaviors, optionally grounded in your own documents and websites. Reused across every study so the “respondent” is consistent — the way it has to be in real research.
02
Hundreds of voices, not one
A study isn’t a chat. Yatabase runs surveys across hundreds of distinct synthetic respondents and produces distributions, themes, and statistics — the shape of output a research team actually needs.
03
Real research methods, not free‑form prompts
SPIN, Jobs‑to‑be‑Done, laddering, critical incident, 5 Whys, think‑aloud, exploratory. Built‑in interview frameworks and survey logic mean the methodology is part of the platform, not something you have to re‑invent in a prompt every time.
04
Knowledge bases, not generic AI
Upload your category research, brand guidelines, transcripts, or competitor docs. Personas read from that ground truth before they answer — so what comes back reflects your world, not the public internet’s.
05
Reproducible and auditable
Studies, personas, and outputs are saved and archived. You can re‑run, version, share, and export. Every run produces an Analysis Process Report that documents how the result was produced — defensible to a stakeholder, not vaporized when you close the tab.
06
Built on the science
The peer‑reviewed and replicated work on synthetic respondents — Political Analysis, Journal of Marketing, Psychology & Marketing, EY, Qualtrics, Harvard, MIT Sloan — is the foundation. See the science →