One Study, Any Language: Multilingual Surveys on MX8
Design once, field in any language, report in one place. Multilingual surveys are live on MX8.
Design once, field in any language, report in one place. Multilingual surveys are live on MX8.
By 2030, insight teams automate production, use synthetic respondents to explore at scale, and shift human effort to judgment and strategic influence.
Sample size was never the true bottleneck; AI and synthetic methods shift research constraints from respondent volume to hybrid model quality and calibration.
Automation does not eliminate research teams; it shifts their value from production to judgment, interpretation, and decision support as demand for insight accelerates.
For the last thirty years, quant research has been built around a simple constraint: the tools were slow. Fieldwork took weeks. Cleaning and coding took longer. Logic was fragile, routing was manual, and every step required human oversight. Every research plan from brand tracking to message testing was shaped not by the question being asked, but by how much time and operational pain the system could tolerate.
Most of the commentary around synthetic data falls into two camps: uncritical hype or outright dismissal. The reality, as ever, is more practical. Done right, synthetic data can radically accelerate research workflows. Done badly, it becomes a hall of mirrors. Today, we’re launching synthetic data in our platform. And we’re doing it the right way.
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 healthcare marketers. In a nationally representative study of over 600 U.S. adults, MX8 Labs uncovered a mix of trust, frustration, and a growing appetite for reform. The data paints a picture of a public that's grown tired of pharmaceutical ads and ready to rewrite the rules.
Crude tactics no longer dominate fraud in quantitative research. It is technical, distributed, and increasingly difficult to distinguish from legitimate respondent behavior. The infographic highlights the most common fraud vectors we see in live data today, and the picture is clear: modern fraud blends in.
Lift reports are now native to MX8, isolate the real impact of exposure with automatic demographic matching and statistical controls.
For decades, the economics of quantitative research have been defined by three constraints: cost, time, and respondent burden. Every part of the industry—methods, workflows, vendor models, even the calendar of insight—quietly assumes that research will always be slow, expensive, and difficult to execute repeatedly. AI automation directly challenges those assumptions.