Synthetic Data: Moving from Hype to Practical Execution

Augmenting Rare Audiences

Finding patients with ultra-rare diseases or highly specialized cybersecurity engineers is notoriously difficult. Synthetic data augmentation uses LLMs trained on real respondent data to simulate responses for underrepresented groups, completing statistical models.

Pre-Testing Questionnaires

Before launching a survey to human panels, researchers deploy thousands of synthetic AI personas to take the survey. This instantly identifies logical flaws, survey fatigue points, and biased question wording.

Ethical and Statistical Boundaries

While powerful, synthetic data must not fully replace human veritas. We establish strict ratios—never exceeding 15% synthetic augmentation in any final deliverable—and clearly watermark all synthetic variables.