Synthetic users, an intro
A quick walkthrough by Sami
Getting beyond generic insights when you already have substantial knowledge — is a common problem, even in traditional research with organic participants. The key to overcoming this lies first in a mindset change and second in how we frame the context and research goals for the Synthetic Users.
When conducting interviews with organic users, each interaction is enriched by the unique personalities, appearances, and insights of different individuals. Discovering commonalities among them feels rewarding because it suggests genuine patterns in behavior that can be generalized. In contrast, with Synthetic Users—lacking the personal rapport and apparent diversity—finding too many commonalities can (and usually is) perceived negatively. Without the contrasting human interaction, data seem less credible —as it doesn’t feel like engaging with distinct individuals. This difference highlights how the perception of diversity and personal connection influences the value placed on common findings in user research.
To make it easier here are some strategies to improve specificity. Remember granularity in your inputs tends to yield more specificity in terms of outputs:
John Creswell and Cheryl Poth, in their book Qualitative Inquiry and Research Design, stress the importance of rich descriptions and constant refinement. They push us to keep questioning and to engage deeply with participants to uncover subtle insights. Applying Creswell’s and Poth’s advice means being ready to adjust your inputs with Synthetic Users, digging deeper into emerging themes.
Kathy Charmaz basically says that data collection and analysis happen together. She encourages researchers to stay open to unexpected findings and let new insights steer the study’s course. When dealing with Synthetic Users, adopting Charmaz’s approach means welcoming surprising responses and letting them guide further inquiry, revealing layers that might otherwise stay hidden.
Michael Quinn Patton, also a leader in qualitative evaluation, underscores the value of purposeful sampling and flexibility. He advises selecting cases rich in information and being adaptable as the research unfolds. With Synthetic Users, this translates to crafting diverse and challenging personas that push you into uncharted territory and make you question your assumptions.
By weaving these expert strategies into your work with Synthetic Users, you move beyond the generic and engage in a deeper exploration of your research questions. The key lies in treating Synthetic Users as dynamic partners — probing, adjusting, and staying open to the unexpected to enrich your understanding and drive insights.
As always, you can schedule a brief call to discuss your specific use cases and get one of our team to tailor these strategies to your needs.