Analysis
Synthetic personas and sample boosting: what's the difference?
One creates AI participants. The other builds on a survey you've already run.
They start in different places
Toluna sells both types of product. Its Synthetic Personas are AI-generated survey respondents based on anonymised data from its own panel. HarmonAIze Boost works with a dataset after the survey has finished. The names sit under the same AI brand, but they describe different jobs. [1]
Here's a simple example
Imagine you've surveyed customers but have few answers from a group you care about. A boosting tool may be worth testing for that analysis. Now imagine you're exploring a new product idea and want an AI audience to answer questions about it. That's closer to a persona brief. These are examples of how to frame a task, not two names for the same service.
Ask for the right test and quote
For boosting, ask how much real survey data the tool needs and test it against answers you kept aside. For personas, ask what the audience is based on and compare its answers with a relevant human study. The quote should say exactly what you'll receive: new human interviews, AI responses, an expanded dataset, or access to a tool.
