Synthetic Users
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About
Synthetic Users provides a revolutionary way to conduct user research through AI-generated synthetic personas that mimic real human behavior. Utilizing advanced AI architecture, the platform allows businesses to run qualitative and quantitative research easily and at scale. From problem exploration to concept testing, Synthetic Users empowers teams to derive insights quickly and make informed decisions about product development. The service is enhanced by a multi-agent framework for deeper interaction and learning, ensuring diverse responses and increased research efficiency. With flexible pricing and a focus on privacy and data security, Synthetic Users aims to democratize access to high-quality user research, maximizing the impact of insights gathered during the product lifecycle.
Platform
Task
Features
• real-time data insights
• multi-agent architecture
• customizable personas
• rapid research capabilities
• synthetic interviews and surveys
FAQs
How does Synthetic Users work?
Synthetic Users leverages advanced AI to create synthetic personas that replicate real human behavior, starting with generating custom personality profiles.
How accurate are the synthetic users?
The accuracy of synthetic users is measured by their ability to behave like organic users, and the service is constantly fine-tuned to ensure high levels of parity.
How does Synthetic Users differ from traditional user research?
Synthetic Users acts as a co-pilot for discovery, allowing faster and cheaper insights than traditional methods by first exploring with synthetic personas.
What data sources does Synthetic Users use?
Synthetic Users relies on various language models and allows users to integrate proprietary data for richer synthetic persona creation.
How does Synthetic Users ensure privacy and data security?
Synthetic Users keeps data private, ensuring it belongs solely to the user, and may implement bespoke models for certain clients.
Pricing Plans
Pay-as-you-go
USD4.00 / per interview• $4 per synthetic interview
• Access to multi-agent architecture
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