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Industry TrendsThe Confirmit and FocusVision lineage now sits inside the Qualtrics acquisition of Press Ganey Forsta. If you're weighing what that means for your roadmap, here's a modern alternative and a free trial to test it.
The cost savings from automation aren't just about eliminating positions. They're about eliminating the type of work that burns people out.
Speed isn't just convenient. It has a calculable dollar value. Here's how to measure it.
Most insights teams are being asked to do more with less. The economics of traditional research make that nearly impossible. Here's what's actually changing.
As AI reshapes research from episodic projects into continuous systems, Research Ops must evolve from administrative support into the operational engine that makes insight infrastructure possible.
By 2030, insight teams automate production, use synthetic respondents to explore at scale, and shift human effort to judgment and strategic influence.
By Megan Daniels, CEO, MX8 Labs In a landscape where researchers are asked to do more with less, artificial intelligence isn’t a threat; it’s the most valuable partner you haven’t fully tapped.
Artificial Intelligence (AI) is one of the most talked-about innovations of our time, reshaping industries such as healthcare, finance, and even market research. Like any paradigm shift, AI brings with it skepticism and myths that cloud its enormous potential. These misconceptions often make market researchers hesitant to adopt AI tools, leaving them questioning the practicality, fairness, and value these tools hold.
Jevon’s Paradox is simple: when a resource becomes more efficient to use, we tend to use more of it—not less. Originally observed in the 19th century when improvements in coal-burning steam engines led to increased coal consumption, it has since become a powerful lens for understanding how efficiency drives demand. And today, it’s one of the most useful ways to think about the future of market research.
Web-based surveys have become a mainstay of market research for one big reason: efficiency. Yet, as organizations increasingly rely on online data collection, a new and growing threat has come into focus. Survey fraud actively undermines the reliability and value of research, putting both insights and business decisions at risk.
