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Syntheticusers
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Syntheticusers

Try out your idea or product with AI users to help you make decisions more quickly.

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Starting price Free + from $99/mo

Tool Information

Synthetic Users is a powerful tool that streamlines user and market research by creating advanced AI-generated participants for testing, helping you make decisions faster.

This innovative tool allows you to test your products, ideas, or prototypes without needing real users, which can really speed up your decision-making process. It’s like having a lab of virtual users at your fingertips, ready for you to run tests whenever you need.

Synthetic Users fits a variety of needs, whether you’re looking to enhance user journeys, explore new product ideas, prioritize your product roadmap, or implement complex agent architectures. Whatever your goal, this tool can help you get there more efficiently.

The integrated interview features enable a deeper dive into your research. You can generate insightful reports, make annotations, and easily share findings with your team. Plus, if you want to gather a lot of data quickly, the tool allows you to conduct extensive quantitative research through surveys in just a matter of minutes.

What’s great is that your synthetic participants can be tailored to showcase unique user characteristics by using something called Resource Allocation Graph (RAG). This gives you a richer understanding of how different types of users might interact with your product.

Furthermore, this tool adapts to your product’s lifecycle, supporting you from the initial identification phase all the way through to growth. You can select from various interview formats, including Problem Exploration, Concept Testing, Custom Scripts, and Research Goal interviews, ensuring you get the insights you need.

If you have your own proprietary data, you can easily upload it into the system for even more detailed analysis and user enrichment. And don’t forget about Synthetic Surveys, which allow you to carry out large-scale quantitative research with ease.

The effectiveness of Synthetic Users is highlighted by its growing acceptance across various respected platforms. Utilizing advanced Language Models (LLMs) like GPT and LLaMA, this tool not only optimizes your research but also empowers you to tailor the insights you gain to meet your specific needs.

Pros and Cons

Pros

  • Caters to varied product lifecycle needs
  • Generation of personality profiles for users
  • Simultaneously run up to 1000 surveys
  • Run vast scale quantitative research
  • Resource Allocation Graph for user uniqueness
  • Maintains context across multiple interactions
  • Facilitates effective product discovery
  • Own proprietary data upload
  • Enhanced contextual understanding
  • Offers synthetic user personas
  • Enables proprietary data enrichment
  • Free trial for 30 days
  • Multi agent architecture implementation
  • No hidden fees in pricing
  • Enables testing ideas through custom script
  • Share reports with team
  • Annotation capabilities
  • Continuous insights for growth
  • Integrated interview tools
  • per interview pricing
  • Increases product conversion
  • GPT and LLaMA Language Models
  • Proprietary data for detailed study
  • No seat pricing
  • Offers concept testing interviews
  • For multiple testing use-cases
  • Large language model support
  • Research Goal interviews for specification
  • Interplay for diverse behaviors
  • Enhances funnel efficacy
  • Enables rapid target audience setup
  • Cuts user research costs
  • Helps in product roadmap prioritization
  • Supports custom script interviews
  • Reduces user research time
  • Accelerates product-market fit
  • Offers types of interviews for exploration
  • Allows segmentation of product features
  • Allows to set research goals
  • Optimizes user journeys
  • Solution feedback interviews
  • Problem exploration interviews offered
  • Synthetic Surveys for large-scale studies
  • Compared with live user sessions
  • Conduct user research without recruiting

Cons

  • Needs special data to upload
  • Special synthetic personas system
  • No real-time user testing
  • Few types of interviews
  • Only has scripted questions
  • Limited survey size
  • Lacks a human touch
  • Limited language models
  • Not an open-source tool

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