

Over sensorisch onderzoek
What are Digital Twins?
A digital twin is a synthetic model of a research participant - built from historical data and trained to reproduce that individual's response patterns across products, attributes, and contexts. When data is missing, a digital twin does not replace it with a generic average. It makes an informed, individual estimate based on how that specific respondent has behaved before, in similar situations.
The result is a dataset that is more complete, more consistent, and more analytically robust - without additional fieldwork, without delays, and without compromising the integrity of your decisions.
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