Synthetic Users — a start
An introduction to Synthetic Users — what it is, why it was built, and how it helps product teams get research-grade insights without the time and cost of traditional user recruitment.
Better product discovery
We are product creators. It’s what we’ve been doing for years in Europe and Silicon Valley. We look around us and the world we inhabit is a productised world. Products are the main way we interface with our planet and each other. We want better products. Better products are more desirable, usable and sustainable. We believe we can help you in this product discovery journey. That is why we’ve created Synthetic Users.
Large language models have allowed for a new age centered in: simulate to accelerate. By empowering people with the ability to quickly and efficiently test their products, we are mitigating risk, uncovering potential inefficiencies, and helping you optimizing for success.
Our lean hypothesis
We believe that product managers, UX researchers and designers have a need to quickly test their products in a cost effective way.
Our solution is Synthetic Users. An app that allows users to validate product assumptions quickly and cheaply.
We will know we are right when product managers, designers and researchers start paying for our service.
What we can test
We are starting by testing Desirability.
Sustainability and Usability (using FIGMA) will follow.
One thing at a time.
We are just starting
User research without users is a nascent discipline. There is a lot we don’t know.
What our experience tells us is that product discovery is not a process. It’s a network of initiatives. It’s not necessarily linear, like creativity is not linear. Some folks start with an audience. Others see a problem but aren’t sure about the audience. Others just have a solution looking for a problem looking for an audience.
The process is somewhat more linear if the goal is to improve an existing product. In which case, product discovery starts with conversations with your existing user base. Insights are then drawn based on those conversations.
Product discovery, when well done, whether you're starting from scratch or improving an existing product, forces us to see the big picture. That is one of our goals, to allow your teams to see the interlinked (Blade Runner reference) big picture your products inhabit. So you can better align and achieve your goals.
What we do know, empirically, is that it is possible to simulate human behavior using LLMs and that doing so will further our mission of creating better products through more efficient product discovery.
We’re only getting started. Join us and our Synthetic Users.
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