Ensuring Quality Data in Research
Quality data is the lifeblood of our industry and the foundation for insights. Currently, the industry is wrestling with a number of threats to quality data, including AI, bots, bad actors, and fraud. Unfortunately, the industry is also dealing with self-inflicted challenges, including insufficient panel management, poorly designed and lengthy surveys, an ineffective application of sampling technology, and ultimately a poor participant experience. While we recognize the need for improvement, we understand the variables at work and can solve for these concerns.