What is Augmented Data?
Augmented data generation allows you to add new questions to existing survey data by generating synthetic responses for each respondent based on their previous answers. If you collected 20 questions from 500 respondents, you can generate responses to 15 additional questions for each of those same 500 people.
Key Benefits
- Extend Existing Studies: Add questions without re-surveying participants
- Maintain Respondent Consistency: New answers align with each person's original responses
- No Participant Drop-off: Keep your full sample size intact
- Cost Effective: Avoid expensive re-fielding costs
- Instant Results: Generate additional data points immediately
Perfect For
- Adding follow-up questions post-analysis
- Testing new hypotheses on existing data
- Expanding competitive analysis
- Adding behavioral or attitudinal depth
- Cross-category research expansion
- Academic research extensions
- Pilot study enhancement
Data Consistency
- Individual-level response coherence
- Demographic alignment maintained
- Attitude consistency across questions
- Behavioral pattern preservation
- Statistical relationships retained
- Full crosstab compatibility
How It Works
- Upload Your Existing Data: Provide your original survey results
- Add New Questions: Define the additional questions you want answered
- AI Context Analysis: Our models analyze each respondent's existing answers
- Generate Consistent Responses: New answers are generated that align with each person's profile
- Download Enhanced Dataset: Get a combined file with original + new responses
Each respondent's new answers are generated based on their individual response patterns, demographics, and attitudes from the original survey.
Example Use Cases
Product Study Extension
Original Survey: 500 respondents answered 25 questions about a product
Augmentation: Add 10 new followup questions about product use or purchase intent
Result: Same 500 respondents now have answers to both the original questions and the followup questions
Academic Research Expansion
Original Survey: 300 students answered questions about study habits
Augmentation: Add questions about technology usage and social media
Result: Enhanced dataset enables correlation analysis between study habits and digital behavior