Over the last several years, sample partners have made meaningful progress in identifying and filtering out fraudulent survey takers. That matters. But fraudulent respondents are no longer the biggest problem we face.

The bigger issue is what happens after participants enter your survey.

No matter how strong your sample source is, unless responses are being evaluated in real time, there is no way to ensure that what participants provide is thoughtful, relevant, or even responsive to the question. You can have perfectly profiled respondents who pass every screen—yet still deliver answers like “because,” “I wasn’t doing anything,” or the classic “xyzzy.” Not thinking. Not contributing. Not adding value. And yet, still costing you time and money.

That’s the problem MercuryIQ was built to solve.

MercuryIQ is patent-pending intelligence that operates directly within your survey, evaluating responses in real time and ensuring they are substantive and on-topic. But it doesn’t stop there. Guided by the key concepts you define, MercuryIQ dynamically asks smart follow-up questions—probing deeper, clarifying intent, and uncovering the insights you actually care about.

The result is something fundamentally different: open-end responses that are not just valid, but rich with meaning, depth, and clarity.

There is another important effect. Participants who are not willing to engage thoughtfully tend to drop out quickly once they realize the survey requires real participation. That means less noise, better data, and no added cost from low or no quality responses.

No more junk. No more insincere answers. Instead, a deep understanding of the “why”—motivations, concerns, reactions, and ideas—captured at scale.

Whether Mercury programs your surveys or your team works within platforms like Qualtrics, Dynata, or Decipher, embedding MercuryIQ via API is straightforward. Once your team has done it once, they can implement it in any future survey in minutes.

Adding just 4–5 MercuryIQ questions to a 1,000-person quant survey transforms it into Qual at Scale—delivering IDI-like depth from every respondent, at a cost typically only 20–30% higher than quant alone, and far below the cost of even a few traditional focus groups.

We’re offering a limited number of opportunities to the first 50 organizations interested in seeing how this works in practice.

Reach out to schedule a demo or to explore MercuryIQ.