๐’๐ฒ๐ง๐ญ๐ก๐ž๐ญ๐ข๐œ ๐ซ๐ž๐ฌ๐ฉ๐จ๐ง๐๐ž๐ง๐ญ๐ฌ: ๐€ ๐–๐š๐œ๐ค๐ฒ ๐–๐š๐ฏ๐ข๐ง๐  ๐Œ๐š๐ง ๐จ๐Ÿ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก.

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TL;DR: Synthetic respondents have a place in research, but only for a few select purposes and as an addition to research on real people, not a replacement.

Letโ€™s be honest: in an ideal world, weโ€™d always rely on real human respondents. They bring context, emotions, and real-life messiness. But reality isnโ€™t always ideal. Clients donโ€™t have time, they donโ€™t have budgets, and sometimes, running a study just isnโ€™t an option. Plus, letโ€™s face it: some questions just arenโ€™t worth troubling real people for. Does a human panel really need to validate that โ€œfast deliveryโ€ matters in e-commerce? ๐‘ซ๐’ ๐’š๐’๐’– ๐’“๐’†๐’‚๐’๐’๐’š ๐’˜๐’‚๐’๐’• ๐’•๐’ ๐’”๐’‘๐’†๐’๐’… ๐’Ž๐’๐’๐’†๐’š ๐’•๐’ ๐’‚๐’”๐’Œ ๐’‘๐’†๐’๐’‘๐’๐’† ๐’˜๐’‰๐’†๐’•๐’‰๐’†๐’“ ๐’•๐’‰๐’†๐’š ๐’๐’Š๐’Œ๐’† ๐’•๐’‰๐’‚๐’• ๐’ƒ๐’–๐’•๐’•๐’๐’ ๐’๐’ ๐’•๐’‰๐’† ๐’“๐’Š๐’ˆ๐’‰๐’• ๐’๐’“ ๐’๐’ ๐’•๐’‰๐’† ๐’๐’†๐’‡๐’•?

As a researcher, I would never ask a synthetic database for something that I need to hear from customers. What is my job if not connecting businesses to real people and letting their voices be heard? But I have seen some clients in the wild who I think are a bit too much to expose their research requests to actual human respondents. ๐Ÿ˜ฑ๐Ÿ˜ฑ๐Ÿ˜ฑ And so did you, dear research colleague. ๐’€๐’๐’– ๐’˜๐’‚๐’๐’• ๐’•๐’ ๐’•๐’†๐’”๐’• ๐‘ฏ๐‘ถ๐‘พ ๐‘ด๐‘จ๐‘ต๐’€ ๐’„๐’๐’๐’๐’–๐’“๐’”?

For me, this is a use case for synthetic respondents. If someone needs fast, cheap input, serving as a proxy for generic, aggregated opinions โ€“ we can ask the robot to stand for humans, much like we place a Wacky Waving Man in front of a shop. Wacky Waving Men have a resemblance to a person and some of their behaviours looks human โ€“ with a large generalization. And they do a good job of looking agitated and attracting attention instead of a real human.

So can synthetic respondents, too. They can help in early-stage idea validation, small hypothesis testing, or stress-testing assumptions before investing in full-scale research. Early-stage customer development, narrowing down many options to a few prioritized ones, endless iterations of changes โ€“ this is their use case. To be frank, I think their main user base will be those who do not research customers at the moment. Maybe the idea that feedback can be good can land in some diehard engineer mind better, if the feedback is from the bot? ๐Ÿ™„

BUT โ€“ and this is a big BUT โ€“ I strongly believe that synthetic respondents should not be used when real customer feedback is a must. They cannot give you personal experiences, emotions, and unpredictable human reactions that no AI-generated response can match. ๐’๐จ๐ซ๐ซ๐ฒ, ๐š ๐–๐š๐œ๐ค๐ฒ ๐–๐š๐ฏ๐ข๐ง๐  ๐Œ๐š๐ง ๐ข๐ฌ๐งโ€™๐ญ ๐’“๐’†๐’‚๐’๐’๐’šย ๐ก๐š๐ฉ๐ฉ๐ฒ ๐ญ๐จ ๐ฌ๐ž๐ž ๐ฒ๐จ๐ฎ.