Define the study
Provide a questionnaire and the characteristics of your intended audience.
SOFTWARE FOR RESEARCH
AtoDrop develops tools for designing and evaluating research. Our survey simulation service helps researchers examine questionnaires before fieldwork.
Explore survey simulationWe help researchers evaluate study designs before collecting data.
Question wording, response options, and study scenarios shape the evidence a survey can produce. Reviewing these choices early can reduce avoidable revisions after fieldwork.
Our work combines software development with survey methodology. We focus on practical tools for comparing alternatives, documenting assumptions, and identifying what needs human validation.
SURVEY SIMULATION
In developmentReview a questionnaire with simulated respondents. Compare revisions and identify questions to investigate in a human pilot.
The service is being developed to work with a draft questionnaire and a defined audience. Researchers will be able to examine wording, compare scenarios, and explore simulated response patterns across groups.
Development currently focuses on multiple-choice and scale questions for university studies of technology adoption and attitudes.
Discuss a research project“Do you trust this AI service and intend to use it?”
Someone may trust a service without wanting to use it. A single answer cannot tell you which judgment they made.
“How much do you trust this AI service?”
Not at all Completely
Q. 02“How likely are you to use this AI service?”
Very unlikely Very likely
Separate trust from intention. Take both questions into a human pilot to check how respondents interpret them.
An illustrative wording review, not a live simulation.
Provide a questionnaire and the characteristics of your intended audience.
Examine how wording and scenario changes affect simulated responses.
Identify the design choices and interpretations to check in a pilot study.
Simulation supports survey preparation. Conclusions about a population require evidence from human respondents.
Our validation approach is being developed to assess response distributions, variation, and differences between groups, rather than average responses alone.
We aim to document the scope of available evidence, variability between runs, and questions that require further human testing.
Planned outputs include question reviews, revision comparisons, labeled synthetic data, and records of the model and simulation settings.
CONTACT
For research inquiries and collaboration,
contact us with a brief description of your study.