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Designing Research for Better Data Quality

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Data quality begins with the respondent experience and the research task. Smart research design ensures a better respondent experience, ultimately leading to better data quality and more actionable insights. As teams are being tasked with doing more with less, research is often over-designed, with too many objectives. This can lead to lengthy sessions, long questionnaires, too many different task types leading to respondent fatigue and lower-quality data. We approach research design with the respondent experience in mind and start from there to ensure research objectives are met.

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