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. Expand the scope of completed research with no additional fieldwork.
Maintain Respondent Consistency
New answers align with each person's original responses. Every augmented data point is grounded in the individual's existing profile.
No Participant Drop-off
Keep your full sample size intact. No attrition, no panel fatigue, no lost respondents between waves.
Cost Effective
Avoid expensive re-fielding costs. Generate additional data points at a fraction of the cost of a new survey wave.
Instant Results
Generate additional data points immediately. No waiting for panel recruitment, fielding windows, or data cleaning cycles.
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
Every augmented response is generated with full awareness of the respondent's existing answers. This ensures coherence across the combined dataset.
- Individual-level response coherence: Each new answer reflects the specific respondent's established patterns and preferences.
- Demographic alignment maintained: Age, gender, income, and other demographic factors are preserved and inform new responses.
- Attitude consistency across questions: Sentiments and opinions expressed in original answers carry through to augmented responses.
- Behavioral pattern preservation: Usage habits, purchase behaviors, and lifestyle indicators remain consistent.
- Statistical relationships retained: Correlations and cross-tabulations between original and new questions reflect realistic patterns.
- Full crosstab compatibility: The combined dataset supports standard crosstab analysis as if all questions were fielded together.
How It Works
- Upload Your Existing Data: Provide your original survey results. The system ingests respondent-level data with all questions and answers intact.
- Add New Questions: Define the additional questions you want answered. Use any question type — single-choice, multi-choice, open-ended, scales, or rankings.
- AI Context Analysis: Our models analyze each respondent's existing answers, building an individual profile from their demographics, attitudes, and behaviors.
- Generate Consistent Responses: New answers are generated that align with each person's profile. Every response is grounded in the context of that individual's original survey data.
- Download Enhanced Dataset: Get a combined file with original + new responses. The output is a single, analysis-ready dataset with all respondents and all questions.
Each respondent's new answers are generated based on their individual response patterns, demographics, and attitudes from the original survey. This is not aggregate-level imputation — it is individual-level augmentation.
Example Use Cases
Product Study Extension
- Original Survey: 500 respondents answered 25 questions about a product
- Augmentation: Add 10 new follow-up questions about product use or purchase intent
- Result: Same 500 respondents now have answers to both the original questions and the follow-up 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
Related Capabilities
Augmented data is one of three ways to extend your research with Simsurveys. Explore the other approaches to find the right fit for your project.
Synthetic Data Generation
Generate complete survey datasets from scratch using AI-powered respondent simulation.
Learn more →Expanded Data
Increase your sample size by generating additional respondents that match your existing data's demographic profile.
Learn more →