Synthetic Users Lightning Demo: User Research Without the Users
With Synthetic Users | Date: July 12th Midday EST / 5pm UK / 18h CET
- lightning demo
- User Experience (UX) Research
- User Feedback
- User Journey Mapping
- User Testing
- User Surveys
- Synthetic Respondents
- Generative AI
- Artificial Intelligence
- Machine Learning
- Product Development Research
Learn how Synthetic Users creates Generative AI-based artificial personas for research to explore needs, generate ideas and refine products.
Large Language Models (LLMs) like OpenAI’s GPT-4 are increasingly being used to create synthetic personas for user research or market research.
These personas are designed to mimic real people, and can be used to test products, gather feedback, and conduct market research without the need for actual participants.
Synthetic Users is an early pioneer of this approach, with a solution that analyses vast amounts of data to create realistic profiles that reflect the characteristics and behaviours of a target audience – attributes such as age, gender, occupation, interests, attitudes and more.
Synthetic Users can create large numbers of personas quickly, which can be useful when fleshing out ideas and running initial tests of product-market-fit. As these personas are AI-generated, there are no privacy concerns or ethical issues with the data.
As LLMs learn and adapt over time, they analyse more data and generate more personas. In theory, this means will become more accurate and effective at creating realistic profiles.
Watch this lightning demo to learn how Synthetic Users can help with:
Learn how Synthetic Users creates Generative AI-based artificial personas for research to explore needs, generate ideas and refine products.
Large Language Models (LLMs) like OpenAI’s GPT-4 are increasingly being used to create synthetic personas for user research or market research.
These personas are designed to mimic real people, and can be used to test products, gather feedback, and conduct market research without the need for actual participants.
Synthetic Users is an early pioneer of this approach, with a solution that analyses vast amounts of data to create realistic profiles that reflect the characteristics and behaviours of a target audience – attributes such as age, gender, occupation, interests, attitudes and more.
Synthetic Users can create large numbers of personas quickly, which can be useful when fleshing out ideas and running initial tests of product-market-fit. As these personas are AI-generated, there are no privacy concerns or ethical issues with the data.
As LLMs learn and adapt over time, they analyse more data and generate more personas. In theory, this means will become more accurate and effective at creating realistic profiles.
Watch this lightning demo to learn how Synthetic Users can help with:
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