Help! How do I go beyond the average with Synthetic Users?

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.

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‍First.

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Don’t treat Synthetic Users any differently than you would organic participants. Don’t expect to get oracle-like answers from Synthetic Users when the same inputs would not illicit depth from organic users. To get depth you must probe and that is why research is not easy.

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Second.

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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:

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1. Provide Existing Knowledge: In your research goal, explicitly state what you already know and understand about the industry or customer. This sets a baseline for the synthetic users to build upon.‍
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2. Ask for Extension: Clearly indicate that you want to extend beyond this established knowledge. For example, "Given what we know about X, Y, and Z, what are some unexpected or less obvious insights about...?"‍
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3. Focus on Gaps: Identify specific areas where your current knowledge is lacking and direct the research goals towards these gaps.‍
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4. Use Advanced Research Goals: Utilize more sophisticated research goals, such as asking for contrarian views or exploring edge cases.‍
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5. Iterative Approach: Use initial findings to inform follow-up questions, diving deeper into interesting or unexpected threads.‍
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6. Cross-Industry Insights: Ask for comparisons or applications of concepts from other industries to your specific context.
   
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What do leading experts in qualitative research do?
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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.
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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.
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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.
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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.
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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.

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