Synthetic Users — AI User Research Platform

Description

Synthetic Users is an AI-driven platform designed to streamline qualitative research by using AI-simulated users. It enables companies to gain insights into human behavior quickly, offering a significant advantage over traditional research methods that can be time-consuming and costly. The platform functions like a recruitment agency for research participants but is faster and more insightful. Synthetic Users allows teams to predict human behavior before market trends emerge, providing a competitive edge.

The platform is not intended to replace real user research but to complement it by front-loading the problem space, refining questions, and optimizing research budgets. It is particularly useful for early exploration, concept testing, and continuous insight gathering between research phases. Synthetic Users employs a multi-agent architecture where AI participants develop individual personality profiles based on the OCEAN model, maintaining context and continuity across interviews.

Synthetic Users boasts a synthetic-organic parity of 85-92% in independent studies, aligning closely with human feedback. This accuracy is supported by over 21 peer-reviewed papers. The platform is trusted by teams at leading companies and offers a cost-effective solution, with interviews priced between $2 and $60, compared to $100+ with traditional agencies.

The platform is designed for a wide range of users, including product managers, marketing leads, and innovation managers, who need to understand user behavior quickly. It offers a secure environment with SOC 2 compliance, ensuring data privacy and ownership. Synthetic Users is a valuable tool for anyone looking to enhance their research capabilities with AI-driven insights.

Synthetic Users's Core Features

• AI-simulated user research

• Predict human behavior

• Multi-agent architecture

• OCEAN model personality profiles

• 85-92% synthetic-organic parity

• Cost-effective interviews

• SOC 2 compliance

• Supports early exploration

How to use Synthetic Users?

1. 1

   Configure: Set up your research parameters

2. 2

   Use: Conduct interviews with AI-simulated users

3. 3

   Optimize: Analyze insights and refine questions

4. 4

   Integrate: Apply findings to enhance real user research

Synthetic Users's Use Cases

• Early exploration
• Concept testing
• Continuous insight
• Problem discovery
• Hypothesis validation

FAQ from Synthetic Users

• Is Synthetic Users meant to replace real user research?

  No, it complements real research by front-loading the problem space and refining questions.

• How accurate are the synthetic participants?

  They achieve 85-92% parity with human feedback, measured across thematic overlap and qualitative alignment.

• How is Synthetic Users different from ChatGPT?

  It uses a multi-agent architecture with stable personality profiles and maintains context across interviews.

• Is 10 participants enough for qualitative work?

  Yes, 10-12 well-defined participants typically reach saturation for qualitative insights.

• Can proprietary data be used to enrich participants?

  Yes, proprietary data can be fed into the participant model, ensuring data privacy.

• What are the security and compliance features?

  The platform is SOC 2 compliant and offers a Data Processing Addendum for legal assurance.

• What is the cost of using Synthetic Users?

  Interviews range from $2 to $60, significantly lower than traditional research agencies.

• Who can benefit from using Synthetic Users?

  Product managers, marketing leads, and innovation managers can gain quick insights into user behavior.