By Kristen Miles, Data & Marketing expert
October 4, 2021
Quality responses to study questions are key to conducting successful analysis. As the saying goes, garbage in, garbage out. Almost nothing is more frustrating for researchers than observing inconsistent or unreliable responses after fielding a study. Poor responses to research questions leads to many problems during data analysis including unreliability, reduced statistical power and bad fit of analytic models.
Branded conducts frontline quality assurances to ensure our audience provides quality insights in the studies they complete. But it is imperative that researchers do their part and design research that elicits quality insights from our users.
Branded is dedicated to ensuring quality across our audience. Our optimized AI provides multi-layered quality assurances across all user touchpoints. Our insistence on quality at every user interaction provides you with the data inputs and insights needed to make confident and critical decisions about your products, services and more.
We use machine learning to predict both poor behavior and unsubstantiated identities of each of the 15k+ new users who register with us every day. Utilizing over 30 data points, continually updated and optimized, we are able to identify, score, classify and remove new users at a 95%+ rate of accuracy.
Branded’s unique and comprehensive scoring and classification system is developed around our total audience, determining whether users are cleared for full participation, require further quality checks and vetting or should be removed from our audience entirely. These frontline assurances ensure data integrity before users enter any study with us.
In addition to Branded’s commitment to quality, researchers must do their part to design studies that encourage our audience to provide quality responses in the studies they complete. Developing and designing a study may seem easy, but the reality is anything but simple.
Follow our top 5 tips when designing research to ensure quality insights: