Synthetic Users
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About
Synthetic Users is an AI-powered platform designed to conduct user and market research using synthetic AI participants that mimic human behavior. It offers features like in-depth interviews, surveys with global reach, and the ability to enrich data with proprietary information using RAG. It provides various interview types, including Problem Exploration, Concept Testing, and Custom Script, suitable for different stages of the product lifecycle. Synthetic Users aims to accelerate insights, reduce costs, and democratize access to qualitative research.
Platform
Task
Features
• in-depth interviews
• solution feedback interviews
• custom script interviews
• problem exploration interviews
• surveys with global reach
• multi-agent architecture
• proprietary data enrichment with rag
FAQs
How does Synthetic Users work?
Syntheticusers.com uses advanced AI and natural language processing to generate synthetic personas that can mimic real human behavior (each Synthetic User has its individual FFM personality model).
How accurate are the synthetic users generated by Syntheticusers.com?
We've been working hard to ensure the synthetic personas behave as though they were organic humans. We are constantly measuring this parity. Focus on the outcomes and less on the nature of the synthetic personas.
How does Syntheticusers.com compare to traditional user research methods?
Synthetic Users has been designed to act as a discovery co-pilot for continuous insight. It accelerates an otherwise expensive and operationally taxing process by inverting the process.
How does Syntheticusers.com handle diversity and representation of different user groups?
You decide your audience, the type of synthetic user or persona you want to interview by how accurately you define it. You may wish to run a discovery process with a very niche audience or a more heterogeneous bunch.
How does Syntheticusers.com ensure the results are unbiased?
Biases have served us humans for hundreds of thousands of years as a way to accelerate learning. What is important is that we reveal the biases as parameters, when generating Synthetic Users.
How does Syntheticusers.com handle privacy and data security?
For most of customers we currently use Open AI GPT 4 to power our service. Open AI are not using any of the data you input into Synthetic Users for training their models. Your data is private and belongs to you alone.
How do you handle the generation and management of synthetic user identities to prevent duplication or overlap?
To prevent duplication, we work to provide a diverse set of synthetic users within the defined profile. While some overlap may occur in separate studies, it's very rare.
Are there multiple variations within a single test with synthetic users, or do you use one amalgamated synthetic user profile to respond to the questions?
You can generate up to 10 diverse synthetic users for each study (at the time of this writing April 2024) to capture all the diversity within the segment. This helps avoid stereotypical answers and gives you genuine insights.
Pricing Plans
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