Abstract: Systems and methods for a natural language survey system are provided. The natural language survey system may harness generative artificial intelligence (“AI”) and machine learning to enhance survey question generation, survey participance and completed survey analysis and research. The natural language survey system may include a dynamic interactive platform. The dynamic interactive platform may enable a researcher to create a survey using natural language. The dynamic interactive platform may enable a researcher to directly identify survey goals instead of creating a plurality of goal-oriented specific questions. The dynamic interactive platform may enable a plurality of participants to participate in the survey. The dynamic interactive platform may provide reports and insights to the researcher upon completion of the survey by the participants.

Abstract: Systems and methods for generating and/or deploying an accurate, interactive, screener web page are provided. A method may include receiving a modular framework question including a subject field that is initialized in an empty state. The method may include filling the empty subject field with a subject text to create a completed question. The method may include transmitting the completed question as part of the interactive screener web page to a survey participant; receiving, as input to the interactive screener web page, a response to the completed question; generating, in real-time, a response score based on the response; and routing the survey participant to an on-line survey when the response score satisfies a predetermined threshold response score, and routing the survey participant away from the on-line survey when the response score fails to satisfy the predetermined threshold response score.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Systems and methods for assessing and maintaining the quality, validity, and/or accuracy of digital participant input are provided. Methods may include capturing session data via a computing device, building a set of metrics based on the session data, deriving a set of characteristic scores, generating a set of classifications based on the set of characteristic scores, and displaying the set of classifications on a user interface (“UP”) that is associated with a session administrator. The set of classifications may include a flag for rejecting a session and/or a participant when the set of characteristic scores includes a score that is outside a predetermined threshold.