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Research InsightsOr why the real constraint was never sample. It was everything else. For decades, sample size was the headline argument in quant research. n=300 or n=500. Margins of error. Subgroup viability. Feasibility thresholds. It felt scientific. It felt strategic. It anchored everything from trackers to concept tests. But none of it was about methodology. It was about cost.
Automation does not eliminate research teams; it shifts their value from production to judgment, interpretation, and decision support as demand for insight acce...
Or why research stops being a deliverable and becomes infrastructure For the last thirty years, quant research has been built around a simple constraint: the to...
Or why “AI-generated” isn’t the same as made-up Most of the commentary around synthetic data falls into two camps: uncritical hype or outright dismissal. The re...
According to research conducted by the MX8 Labs team, pharmaceutical ads are giving consumers a headache. But the data reveals there may be a prescription for h...
Crude tactics no longer dominate fraud in quantitative research. It is technical, distributed, and increasingly difficult to distinguish from legitimate respond...
For decades, the economics of quantitative research have been defined by three constraints: cost, time, and respondent burden. Every part of the industry—method...
From the chip aisle to the checkout page, brand collaborations are having a moment. They have evolved from fun gimmicks and one-off stunts to strategic, revenue...
In a digital world driven by data—where every scroll, click, and tap tells a story—marketers are betting that relevance is the most critical strategy for reachi...
Today, MX8 Labs is proud to announce that Michael Collette has been appointed Chairman of its Board of Directors. Collette is a widely-recognized industry veter...
