What to do when you feel your Synthetic Users are being too generalist
A 1, 2, 3 on what to do when you feel your interviews are too shallow.
1.
Easy. Press this button and probe deeper. We’ve given you the possibility to continue the conversation with your Synthetic Users, whenever you wish to — something not possible with organic users.
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2.
The questions you ask are directly correlated to the answers you get. It’s the same with organic users.
3.
Remember, Synthetic Users are not a full replacement to real users. Our parity is very high, (...and remember we're just at the beginning). They exist to accelerate your research process. You’ll get most of the insight you were going to get with organic users out of the way, so you may focus on the juicy bits. It will save you a lot of time and a lot of money.
What is RAG and why it’s important for Synthetic Research
Ahead of our RAG launch we explain Retrieval-Augmented Generation (RAG) and how it enhances Synthetic Users by providing increased realism, contextual depth, and adaptive learning, with profound implications for market research, user experience testing, training, education, and innovative product development.
Synthetic Users system architecture (the simplified version).
Foundation models underpin Synthetic Users with advanced capabilities, enhanced by synthetic data and RAG layers for realism and business alignment, all within a collaborative multi-agent framework for richer interactions.
Saturation score. How do we know how many interviews to run?
Determine your interview target for achieving topic saturation using our efficient approach, leveraging the historical wisdom of research pioneers. This method ensures deep insights with theoretical sampling at its core.
Three research papers that helped us build ❤️ Synthetic Users
For the sceptics amongst us who need more tangible research in order to engage with this brave new world. Full disclosure: we are part of the sceptics.
Synthetic Users: Merging Qualitative and Quantitative Research, in seconds.
At Synthetic users we are blurring the lines between qualitative and quantitative research. Here's how we are going about this transformative approach.