SynTera
Synthetic People Test Suite
SynTera Test Suite
Compare real human survey output with synthetic people
What is SynTera Test-Suite?
SynTera Test Suite is a statistical validation framework that compares real human survey results with synthetic people and persona survey output. It runs rigorous statistical tests to ensure synthetic human responses align with the patterns and distributions of real human responses.
Scientific Approach
Based on proven statistical methodologies
Fast & Efficient
Real-time validation and comparison
Comprehensive Analysis
Multiple statistical tests in one platform
Purpose
SynTera Test Suite serves as a critical validation tool for organizations working with synthetic data, ensuring data quality, statistical accuracy, and reliability before deployment in production environments.
Data Quality Assurance
Validate that synthetic data maintains statistical properties of original datasets
Risk Mitigation
Identify discrepancies before deploying synthetic data in production
Compliance & Standards
Ensure synthetic data meets regulatory and industry standards
Research & Development
Support research initiatives requiring validated synthetic datasets
How to Use
Getting started with SynTera Test Suite is simple and straightforward. Follow these steps to begin validating your synthetic data:
Upload Your Data
Navigate to Validation Runs and upload your seed (real) and synthetic data files in CSV or Excel format
Select Extraction Method
Choose your preferred extraction method (JSON, CSV, or Excel) for data processing
Run Comparison
Click Compare Files to initiate statistical analysis across 8 different tests
Review Results
View detailed question-by-question comparisons and statistical methodology in Test Results
Access Reports
Explore comprehensive reports in Dashboard & Reports with accuracy metrics and validation summaries
Key Benefits
SynTera Test Suite provides numerous advantages for organizations working with synthetic data:
High Accuracy
Achieve 97.8% accuracy in statistical validation, ensuring reliable synthetic data generation
Comprehensive Testing
8 different statistical tests including Chi-square, Kolmogorov-Smirnov, Mann-Whitney U, and more
Real-time Analysis
Get instant results with question-by-question comparison and detailed statistical insights
Visual Dashboards
Interactive dashboards with pagination, 2x2 grid layouts, and comprehensive reporting
Role-Based Access
Secure access control with User and Super User roles for different permission levels
Industry Standards
Access to industry survey references and validation reports across multiple domains
Synthetic People Test Studio
Transparent, comparable, and verifiable validation of synthetic people against real human survey data.
1. Seed survey input
Upload a real survey or define a controlled question set as your ground truth.
2. Behavioral simulation
Run the same questions through the calibrated Synthetic People engine.
3. Comparative metrics
Compare real vs synthetic people on alignment, variance bands, and stability.
Key metrics
High-level health of your synthetic people validation studio.
Tests conducted
0
Validated runs
0
Avg alignment score
0%
Avg variance range
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Avg stability indicator
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Test configurations & reports
Each card represents one experiment: a real survey benchmarked against synthetic people.
Surveys
Each survey represents one experiment run.
Validation Runs
Compare two questionnaires via file upload or manual data entry.
1. Upload questionnaire files
Upload Excel (.xlsx, .xls) or CSV files containing survey responses.
2. Ready to compare
Click "Compare Files" to run the validation. Results will appear on the Test Results page.
1. Select survey & data
2. Ready to validate
Click "Run Validation" to start. Results will appear on the Test Results page.
Test Results
Compare synthetic vs real survey responses question-by-question.
No Results Yet
Run a validation from the Validation Runs page to see results here.
Industry Survey Reports
Industry-specific surveys and data from S3, plus reference surveys across domains.
Industry data (S3)
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Reference surveys
Market Research Reverse Engineering
Upload a market research report to reverse-engineer the original research design and reconstructed questionnaire.
Input Report
Paste report text below or upload a .txt or .pdf file. Minimum 50 characters required.
Only text is read from the report; charts and images are not.