Field notes on synthetic audience research.
Every study ships with the methodology. This is where the methodology gets explained.
A plain definition of synthetic audiences: AI-generated populations that behave like real ones, how they are built and calibrated, what they are good for, and what separates a defensible one from a generic LLM wrapper.
What a cohort is across four research traditions, what AAPOR disclosure elements require, and why cohort precision determines synthetic audience fidelity.
The individual record in a synthetic study: how it differs from a persona, cohort, or audience; grounded vs prompted approaches; where it works and where it fails.
The empirical ceiling on survey reliability, derived from test-retest research and Park et al. (2024). A reference for evaluating synthetic audience accuracy claims.
Put the platform in front of a real decision.
Bring a decision your team is working on. A research engineer will draft the cohort, the sample, and the study with you, in one working session. The methodology comes out with the result.