Research

Publications

Research documenting our methodology, statistical validation frameworks, and side-by-side comparisons of synthetic versus live panel data.

White Papers

Technical papers exploring synthetic survey methodology, validation approaches, and applications in agentic commerce and real-time preference intelligence.

White Paper

Evaluating Synthetic Survey Estimates

A comprehensive framework for evaluating the accuracy of AI-generated synthetic survey data against live panel benchmarks. Covers statistical methodology, divergence metrics, and validation protocols used across all Simsurveys domain models.

Healthcare / Methodology Download PDF →
White Paper

Synthetic Respondents for Agentic Commerce — CTO Brief

Technical brief for engineering and product leaders on integrating synthetic respondent infrastructure into agentic commerce systems. Covers real-time preference querying, probability-weighted distribution APIs, and sub-second response architectures for autonomous agent decision loops.

Consumer / Agentic AI Download PDF →
White Paper

Patient Digital Twins from Federal Public Health Data

Technical paper on building patient digital twins from publicly available federal health datasets (NHIS, MEPS, BRFSS, NHANES, CAHPS, PROMIS). Covers the methodology for constructing representative patient profiles from 500,000+ de-identified records and validating against real patient survey outcomes.

Patient / Healthcare Download PDF →
Validation

Validation Reports

Side-by-side comparisons of Simsurveys synthetic output against published live panel data across healthcare, consumer, patient, and retail domains.

Validation Study

AMA Prior Authorization Survey

Validation of synthetic physician responses against the American Medical Association's prior authorization survey. Compares synthetic and live panel data on physician attitudes, administrative burden, and care delay metrics.

Healthcare Download PDF →
Validation Study

Commonwealth Fund / Kaiser 2015

Synthetic replication of the Commonwealth Fund/Kaiser Family Foundation 2015 health insurance survey. Benchmarks synthetic respondent output against national survey data on insurance coverage, access, and affordability.

Healthcare Download PDF →
Validation Study

Consumer Returns in Retail

Validation study comparing synthetic and live consumer data on retail return behaviors, motivations, and satisfaction. Tests the consumer model's ability to replicate purchase and post-purchase decision patterns.

Consumer / Retail Download PDF →
Validation Study

IFIC Food & Health Survey

Synthetic replication of the International Food Information Council's annual Food and Health Survey. Validates the consumer model against nationally representative data on food attitudes, nutrition knowledge, and dietary behaviors.

Consumer / Food Download PDF →
Validation Study

Physician Sarcopenia Knowledge

Validation of synthetic physician responses on sarcopenia awareness, diagnostic practices, and treatment approaches. Tests the healthcare model's accuracy in replicating specialized clinical knowledge and practice patterns.

Healthcare Download PDF →
Validation Study

Walmart Retail Rewired 2025

Synthetic replication of Walmart's Retail Rewired 2025 consumer study. Benchmarks the consumer model against large-scale retail data on shopping behaviors, channel preferences, and emerging retail technology adoption.

Consumer / Retail Download PDF →
Validation Study

KFF GLP-1 Weight Loss Drug Survey

Validation of the patient model against the Kaiser Family Foundation's 2023 survey on GLP-1 weight loss drug awareness, usage, and attitudes. Tests patient model accuracy across demographic segments on a rapidly evolving healthcare topic.

Patient / Healthcare Download PDF →
Validation Study

HCAHPS Hospital Patient Experience

Validation against CMS Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey data. Benchmarks the patient model on hospital experience metrics including communication, responsiveness, and discharge information.

Patient / Healthcare Download PDF →
Validation Study

US Pain Foundation 2022 Survey

Validation against the US Pain Foundation's 2022 national survey on chronic pain experiences. Tests patient model accuracy on pain management, treatment satisfaction, provider communication, and quality-of-life impact.

Patient / Healthcare Download PDF →

Related Academic Literature

Independent peer-reviewed research validating digital twin and synthetic respondent approaches in survey research.

Peer-Reviewed

Scaling Survey Respondent Pools with AI: The Twin-2K-500 Framework

Toubia et al. (2025) demonstrate that LLM-based digital twins can reproduce survey responses with high fidelity across 2,000 respondents and 500 questions. Published in Marketing Science, this independent research validates the core approach underlying Simsurveys' patient and consumer digital twin models.

Academic / Marketing Science View article →

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