Branching
Respondents follow customized paths through a study depending on their audience segmentation or to answers they provided to preceding questions.
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Quota Control
A limit on the number of valid completions can be set by study, audience or demographic.
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Randomization
Implemented to eliminate first order response bias that can occur with answer placement.
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Identification and Security
Robust features are designed into the platform to uniquely ID respondents, insuring that only invited users are allowed to participate, that they can return to the study to complete it at a later time, and to secure all responses.
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Data-driven Personalization
Both the questions and the study interface can be personalized to incorporate any fact or response stored in the database. Data-driven personalization can include information collected in prior studies or that is resident in the enterprise CRM repository. This technique needs to be used sparingly but has been proven to improve survey response characteristics.
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Validation
Automated technology utilized for maintaining data integrity and the quality of response. Validation ranges from simple error checking of a required input to insuring that a correct ‘type’ of answer has been entered (i.e.: a number vs. text, a minimum number of characters, etc…).
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Intelligence
Using complex technical rules and algorithms that incorporate AI (artificial intelligence), we attempt to mimic the ways in which experienced qualitative researchers modify interviews as they flow from question to question dependent on the insight gained from each person’s unique response.
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