Synthetic Sampling

Understand the technology behind generating research insights using AI personas.

Synthetic Sampling Technology

Learn about OpinioAI's innovative method for generating research insights using AI language models and synthetic personas.

What is Synthetic Sampling?

Synthetic Sampling creates AI personas based on defined demographic, psychographic, and contextual characteristics. These personas then generate opinions and responses reflecting their simulated perspectives, allowing for rapid, scalable research without traditional data collection methods.

Key Concepts

  • Persona Creation: Define target audiences by specifying attributes like age, location, interests, values, and behaviors.
  • Opinion Generation: Use defined personas to generate responses to surveys, prompts, or interview questions at scale.
  • Analysis: Process the generated data to identify patterns, trends, and insights across different segments.

Benefits

  • Speed & Scale: Generate large datasets quickly.
  • Cost-Effectiveness: Reduce the expense associated with traditional data collection.
  • Consistency: Apply a standardized methodology across studies.
  • Flexibility: Create and test opinions from diverse or hard-to-reach personas.

Managing Segments

Segments you create are displayed as cards. Each card provides quick actions:

  • Edit: Modify the segment's definition.
  • Use in Research: Quickly start a new Synthetic Research study using this segment.

Additional actions like Copy and Delete are available via the dropdown menu (three dots icon) in the card's header to keep the interface clean and prevent accidental clicks.

Ethical Considerations

OpinioAI promotes transparency and bias awareness when using synthetic data. Document methods clearly and monitor for potential biases in persona creation or response generation.