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Syntheticusers
AI participants for faster product testing and decisions.
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Syntheticusers
Product research
4,354
5.0
Inputs:
Outputs:
AI participants for faster product testing and decisions.
Most popular alternative: Personno (71 saves)
By unverified author Claim this AI
Synthetic Users is a tool designed to facilitate user and market research through the use of advanced AI architecture which creates synthetic participants for testing.
The tool enables users to test their product, idea or prototype without the real users, thus speeding up the decision-making process. The tool is suitable for multiple use cases such as optimizing user journeys, product discovery, product roadmap prioritization and multiple agent architecture implementation, among others.
Interview tools integrated within the system allow more in-depth inquiry, generation of insight reports, annotations, and team sharing. Users can conduct vast quantitative research in minutes through surveys.
Their synthetic users can be enriched with the use of RAG (Resource Allocation Graph), enabling representation of user uniqueness. The tool also provides flexibility to users in the product lifecycle, catering to needs from identification to growth.
Interview types include Problem Exploration, Concept Testing, Custom Script, and Research Goal interviews, among others. It also allows proprietary data upload for further user enrichment.
Synthetic Surveys offer an opportunity to conduct quantitative research on a massive scale. The popularity and efficacy of Synthetic Users are evidenced by its acceptance in various reputable platforms.
The tool utilizes Language Models (LLMs) like GPT and LLaMA, and lets users upload their own proprietary data for detailed study requirements.
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Releases
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March 20, 2023
Initial release of Syntheticusers.
Pricing
Pricing model
Free Trial
Paid options from
$99/month
Billing frequency
Monthly
Product research
4,354
5.0Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
Syntheticusers was manually vetted by our editorial team and was first featured on March 25th 2023.
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846,753637v1.6 released 18d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
12,46295v2.1 released 2mo agoFree + from $45/mo
This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
Pros and Cons
Pros
Reduces user research time
Cuts user research costs
Conduct user research without recruiting
Offers synthetic user personas
Large language model support
Free trial for 30 days
Enables rapid target audience setup
Allows segmentation of product features
Compared with live user sessions
Accelerates product-market fit
For multiple testing use-cases
Integrated interview tools
Annotation capabilities
Share reports with team
Run vast scale quantitative research
Resource Allocation Graph for user uniqueness
Caters to varied product lifecycle needs
Offers types of interviews for exploration
Offers concept testing interviews
Own proprietary data upload
Supports custom script interviews
Research Goal interviews for specification
Synthetic Surveys for large-scale studies
GPT and LLaMA Language Models
Proprietary data for detailed study
Optimizes user journeys
Facilitates effective product discovery
Helps in product roadmap prioritization
Multi agent architecture implementation
Increases product conversion
Enhances funnel efficacy
Continuous insights for growth
Problem exploration interviews offered
Enables testing ideas through custom script
Solution feedback interviews
Enables proprietary data enrichment
Allows to set research goals
Simultaneously run up to 1000 surveys
No seat pricing, per interview pricing
No hidden fees in pricing
Maintains context across multiple interactions
Generation of personality profiles for users
Interplay for diverse behaviors
Enhanced contextual understanding
View 39 more pros
Cons
Limited language models
Needs proprietary data upload
No real time user testing
Lacks human element
Limited interview types
Restricted to scripted questions
Limited scale for surveys
Proprietary synthetic personas engine
Closed source tool
View 4 more cons
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Q&A
What is Synthetic Users?
Synthetic Users is an advanced AI tool that empowers companies to conduct user research without the challenges typically associated with recruiting participants. The tool generates synthetic users, which are AI-driven virtual participants, that can test products, ideas, and concepts, providing teams with unique insights into their product's features, blockers, and target audiences. These synthetic users enable quick targeting of specific audiences, offering valuable feedback that can refine and segment product features.
Who should use Synthetic Users?
Synthetic Users is designed for use by teams that are time and budget-constrained for user testing. Primarily, it's beneficial for companies keen to uncover customer habits and preferences, optimize user journeys, prioritize product roadmaps, implement multi-agent architecture, among others. The tool is also suitable for market research, product development, prototype testing, decision-making, etc.
What makes Synthetic Users different from other AI tools?
Synthetic Users stands out from other AI tools with its unique feature of creating synthetic participants for product or prototype testing. It uses an advanced AI architecture embracing language models like GPT and LLaMA for generating synthetic users. Also, it provides enhanced flexibility with its proprietary data upload feature and resource allocation graph, enabling rich representation of user uniqueness and comprehensive study requirements.
What features does Synthetic Users offer?
Synthetic Users offers numerous features, including synthetic users for testing, a proprietary synthetic personas engine, interview tools for an in-depth inquiry, synthetic surveys for large scope quantitative research, and resource allocation graph (RAG) to represent user uniqueness. It also offers a variety of interview types such as Problem Exploration, Concept Testing, Custom Script, and Research Goal interviews.
Can I set specific audience parameters with Synthetic Users?
Yes, Synthetic Users allows teams to set up and target specific audiences rapidly providing relevant and valuable feedback for product features refinement.
How can Synthetic Users help uncover customer preferences?
Synthetic Users reveals customer preferences by using AI-driven virtual participants for product testing, guiding teams towards a concept that would succeed in the market. The rich and diverse behavior of these synthetic users mimics real human actions and decision-making processes, providing deep insights into user preference trends.
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