Abstract: Aspects and elements of the present disclosure relate to systems and methods for determining whether a user of an application is a bot, the sequences of computer-executable instructions including instructions that instruct at least one processor to assign the user to a user classification of a plurality of user classifications for the application, provide, responsive to assigning the user to the user classification, one or more challenges of a plurality of challenges to the user over multiple instances of the user using the application, each challenge of the plurality of challenges being configured to determine whether the user is a bot, and each challenge being associated with at least one user classification of the plurality of user classifications, and change the user classification based on the user's response to the one or more challenges.

Abstract: Techniques for improving performance and quality in a market research platform include: obtaining first usage data of a first set of survey respondents to a first market research survey, the first market research survey being associated with a first tenant of a multi-tenant market research survey platform and conforming to a market research survey template provided by the platform; obtaining second usage data of a second set of survey respondents to a second market research survey, the second market research survey being associated with a second tenant of the platform and conforming to the market research survey template; generating a template-specific quality filter associated with the market research survey template, based at least on the first usage data and the second usage data; and based at least on the template-specific quality filter and third usage data of a particular survey respondent, identifying the particular survey respondent as a low-quality respondent.